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Tuesday, August 4, 2020

Autism spectrum

From Wikipedia, the free encyclopedia
 
Autism spectrum
Other namesAutism spectrum disorder, autistic spectrum disorder, autism spectrum condition, autistic spectrum condition
Boy stacking cans
Repetitively stacking or lining up objects is associated with autism spectrum
SpecialtyPsychiatry, clinical psychology
SymptomsProblems with communication, social interaction, restricted interests, repetitive behavior
ComplicationsSocial isolation, employment problems, family stress, bullying, self-harm, suicide
Usual onsetBy the age of 3 years
DurationLifelong or Long-term
CausesUncertain
Risk factorsAdvanced parental age, exposure to valproate during pregnancy, low birth weight
Diagnostic methodBased on symptoms
Differential diagnosisIntellectual disability, Rett syndrome, ADHD, selective mutism, childhood-onset schizophrenia
TreatmentBehavioral therapy, psychotropic medication
Frequency1% of people (62.2 million 2015)

The autism spectrum encompasses a range of neurodevelopmental conditions, including autism and Asperger syndrome, generally known as autism spectrum disorders (ASD). Individuals on the autistic spectrum experience difficulties with social communication and interaction and also exhibit restricted, repetitive patterns of behavior, interests, or activities. Symptoms are typically recognized between one and two years of age. Long-term problems may include difficulties in performing daily tasks, creating and keeping relationships, and maintaining a job.

The cause of autism spectrum conditions is uncertain. Risk factors include having an older parent, a family history of autism, and certain genetic conditions. It is estimated that between 64% and 91% of risk is due to family history. Diagnosis is based on symptoms. In 2013, the Statistical Manual of Mental Disorders version 5 (DSM-5) replaced the previous subgroups of autistic disorder, Asperger syndrome, pervasive developmental disorder not otherwise specified (PDD-NOS), and childhood disintegrative disorder with the single term "autism spectrum disorder".

Treatment efforts are generally individualized and can include behavioural therapy and the teaching of coping skills. Medications may be used to try to help improve symptoms. Evidence to support the use of medications, however, is not very strong.

Autism spectrum is estimated to affect about 1% of people (62.2 million globally) as of 2015. In the United States it is estimated to affect more than 2% of children (about 1.5 million) as of 2016. Males are diagnosed four times more often than females. The term "spectrum" refers to the variation in the type and severity of symptoms. Those in the mild range may function independently, while those with moderate to severe symptoms may require substantial support in their daily lives.

Classification

DSM-IV diagnoses that fall under the umbrella of autism spectrum disorder in DSM-V

Autism forms the core of the autism spectrum disorders. Asperger syndrome is closest to autism in signs and likely causes; unlike autism, people with Asperger syndrome have no significant delay in language development or cognitive development, according to the older DSM-IV criteria. PDD-NOS is diagnosed when the criteria are not met for a more specific disorder. Some sources also include Rett syndrome and childhood disintegrative disorder, which share several signs with autism but may have unrelated causes; other sources differentiate them from ASD, but group all of the above conditions into the pervasive developmental disorders.

Autism, Asperger syndrome, and PDD-NOS are sometimes called the autistic disorders instead of ASD, whereas autism itself is often called autistic disorder, childhood autism, or infantile autism. Although the older term pervasive developmental disorder and the newer term autism spectrum disorder largely or entirely overlap, the earlier was intended to describe a specific set of diagnostic labels, whereas the latter refers to a postulated spectrum disorder linking various conditions. ASD is a subset of the broader autism phenotype (BAP), which describes individuals who may not have ASD but do have autistic-like traits, such as avoiding eye contact.

A revision to autism spectrum disorder (ASD) was presented in the Diagnostic and Statistical Manual of Mental Disorders version 5 (DSM-5), released May 2013. The new diagnosis encompasses previous diagnoses of autistic disorder, Asperger syndrome, childhood disintegrative disorder, and PDD-NOS. Compared with the DSM-IV diagnosis of autistic disorder, the DSM-5 diagnosis of ASD no longer includes communication as a separate criterion, and has merged social interaction and communication into one category. Slightly different diagnostic definitions are used in other countries. For example, the ICD-10 is the most commonly-used diagnostic manual in the UK and European Union. Rather than categorizing these diagnoses, the DSM-5 has adopted a dimensional approach to diagnosing disorders that fall underneath the autism spectrum umbrella. Some have proposed that individuals on the autism spectrum may be better represented as a single diagnostic category. Within this category, the DSM-5 has proposed a framework of differentiating each individual by dimensions of severity, as well as associated features (i.e., known genetic disorders, and intellectual disability).

Another change to the DSM includes collapsing social and communication deficits into one domain. Thus, an individual with an ASD diagnosis will be described in terms of severity of social communication symptoms, severity of fixated or restricted behaviors or interests, hyper- or hyposensitivity to sensory stimuli, and associated features. The restricting of onset age has also been loosened from 3 years of age to "early developmental period", with a note that symptoms may manifest later when social demands exceed capabilities.

Signs and symptoms

Autism spectrum disorder (ASD) is characterized by persistent challenges with social communication and social interaction, and by the presence of restricted, repetitive patterns of behavior, interests, or activities. These symptoms begin in early childhood, and can impact function. There is also a unique disorder called savant syndrome that can co-occur with autism. As many as one in 10 children with autism and savant syndrome can have outstanding skills in music, art, and mathematics. Self-injurious behavior (SIB) is more common and has been found to correlate with intellectual disability. Approximately 50% of those with ASD take part in some type of SIB (head-banging, self-biting).

Other characteristics of ASD include restricted and repetitive behaviors (RRBs). These include a range of gestures and behaviors as defined in the Diagnostic and Statistic Manual for Mental Disorders.

Asperger syndrome was distinguished from autism in the DSM-IV by the lack of delay or deviance in early language development. Additionally, individuals diagnosed with Asperger syndrome did not have significant cognitive delays. PDD-NOS was considered "subthreshold autism" and "atypical autism" because it was often characterized by milder symptoms of autism or symptoms in only one domain (such as social difficulties). The DSM-5 eliminated the four separate diagnoses: Asperger Syndrome, Pervasive Developmental Disorder Not Otherwise Specified (PDD-NOS), Childhood Disintegrative Disorder, and Autistic Disorder and combined them under the diagnosis of Autism Spectrum Disorder.

Developmental course

Most parents report that the onset of autism symptoms occur within the first year of life. There are two possible developmental courses of autism spectrum disorder. One course of development is more gradual in nature, in which parents report concerns in development over the first two years of life and diagnosis is made around 3–4 years of age. Some of the early signs of ASDs in this course include decreased looking at faces, failure to turn when name is called, failure to show interests by showing or pointing, and delayed imaginative play.

A second course of development is characterized by normal or near-normal development in the first 15 months to 3 years before onset of regression or loss of skills. Regression may occur in a variety of domains, including communication, social, cognitive, and self-help skills; however, the most common regression is loss of language. Childhood disintegrative disorder, a DSM-IV diagnosis now included under ASD in DSM-V, is characterized by regression after normal development in the first 3 to 4 years of life.

There continues to be a debate over the differential outcomes based on these two developmental courses. Some studies suggest that regression is associated with poorer outcomes and others report no differences between those with early gradual onset and those who experience a regression period. While there is conflicting evidence surrounding language outcomes in ASD, some studies have shown that cognitive and language abilities at age ​2 12 may help predict language proficiency and production after age 5. Overall, the literature stresses the importance of early intervention in achieving positive longitudinal outcomes.

Social skills

Impairments in social skills present many challenges for individuals with ASD. Deficits in social skills may lead to problems with friendships, romantic relationships, daily living, and vocational success. One study that examined the outcomes of adults with ASD found that, compared to the general population, those with ASD were less likely to be married, but it is unclear whether this outcome was due to deficits in social skills or intellectual impairment.

Prior to 2013, deficits in social function and communication were considered two separate symptoms of autism. The current criteria for Autism diagnosis require individuals to have deficits in three social skills: social-emotional reciprocity, nonverbal communication, and developing and sustaining relationships.

Some of the symptoms related to social reciprocity include:
  • Lack of mutual sharing of interests: many children with autism prefer not to play or interact with others.
  • Lack of awareness or understanding of other people's thoughts or feelings: a child may get too close to peers without noticing that this makes them uncomfortable.
  • Atypical behaviors for attention: a child may push a peer to gain attention before starting a conversation.
People with autism spectrum usually display atypical nonverbal behaviors:
  • Poor eye contact: a child with autism may fail to make eye contact when called by name, or they may avoid making eye contact with an observer. Aversion of gaze can also be seen in anxiety disorders, however poor eye contact in autistic children is not due to shyness or anxiety; rather, it is overall diminished in quantity.
  • Facial expressions: they often don't know how to recognize emotions from others' facial expressions, or they may not respond with the appropriate facial expressions.
  • Unusual speech: at least half of children with autism speak in a flat, monotone voice or they may not recognize the need to control the volume of their voice in different social settings. For example, they may speak loudly in libraries or movie theaters.

Communication skills

Communication deficits are due to problems with social-emotional skills like joint attention and social reciprocity. Difficulties with nonverbal communication skills such as poor eye contact, and impaired use of proper facial expressions and gestures are common. Some of the linguistic behaviors in individuals with autism include repetitive or rigid language, and restricted interests in conversation. For example, a child might repeat words or insist on always talking about the same subject. ASD can present with impairments in pragmatic communication skills, such as difficulty initiating a conversation or failure to consider the interests of the listener to sustain a conversation. Language impairment is also common in children with autism, but it is not necessary for the diagnosis. Many children with ASD develop language skills at an uneven pace where they easily acquire some aspects of communication, while never fully developing others. In some cases, individuals remain completely nonverbal throughout their lives, although the accompanying levels of literacy and nonverbal communication skills vary.

They may not pick up on body language or social cues such as eye contact and facial expressions if they provide more information than the person can process at that time. Similarly, they have trouble recognizing subtle expressions of emotion and identifying what various emotions mean for the conversation. They struggle with understanding the context and subtext of conversational or printed situations, and have trouble forming resulting conclusions about the content. This also results in a lack of social awareness and atypical language expression. How emotional processing and facial expressions differ between those on the autism spectrum and others is not clear, but emotions are processed differently between different partners.

It is also common for individuals with ASD to communicate strong interest in a specific topic, speaking in lesson-like monologues about their passion instead of enabling reciprocal communication with whomever they are speaking to. What looks like self-involvement or indifference toward others stems from a struggle to recognize or remember that other people have their own personalities, perspectives, and interests. The ability to be focused in on one topic in communication is known as monotropism, and can be compared to "tunnel vision" in the mind for those individuals with ASD. Language expression by those on the autism spectrum is often characterized by repetitive and rigid language. Often children with ASD repeat certain words, numbers, or phrases during an interaction, words unrelated to the topic of conversation. They can also exhibit a condition called echolalia in which they respond to a question by repeating the inquiry instead of answering.

Behavioral characteristics

Autism spectrum disorders include a wide variety of characteristics. Some of these include behavioral characteristics which widely range from slow development of social and learning skills to difficulties creating connections with other people. They may develop these difficulties of creating connections due to anxiety or depression, which people with autism are more likely to experience, and as a result isolate themselves. Other behavioral characteristics include abnormal responses to sensations including sights, sounds, touch, and smell, and problems keeping a consistent speech rhythm. The latter problem influences an individual's social skills, leading to potential problems in how they are understood by communication partners. Behavioral characteristics displayed by those with autism spectrum disorder typically influence development, language, and social competence. Behavioral characteristics of those with autism spectrum disorder can be observed as perceptual disturbances, disturbances of development rate, relating, speech and language, and motility.

The second core symptom of Autism spectrum is a pattern of restricted and repetitive behaviors, activities, and interests. In order to be diagnosed with ASD, a child must have at least two of the following behaviors:
  • Stereotyped behaviors– Most children with autism perform repetitive behaviors such as rocking, hand flapping, finger flicking, head banging, or repeating phrases or sounds. These behaviors may occur constantly or only when the child gets stressed, anxious or upset.
  • Resistance to change– Children with autism spectrum also tend to have routines and rituals that they must follow, like eating certain foods in a specific order, or taking the same path to school every day. The child may have a meltdown if there is any change or disruption to his routine.
  • Restricted interests– Children may become excessively interested in a particular thing or topic, and devote all their attention to it. For example, young children might completely focus on things that spin and ignore everything else. Older children might try to learn everything about a single topic, such as the weather or sports, and talk about it constantly.
  • Sensory Processing Disorder– Many people with Autism have difficulty processing complex combinations of emotional and sensory stimuli. Their inability to process this information in a timely manner produces an information pile up which will trigger a stress reaction. They must be able to escape the environment causing this information pile up or their stress reaction may escalate to a severe anxiety reaction or panic attack. This will ultimately result in an autistic meltdown.
  • Oversensitivity– Many people with autism are overly sensitive to loud sounds, bright lights, strong smells, or being touched.

Self-injury

Self-injurious behaviors (SIB) are common in ASD and include head-banging, self-cutting, self-biting, and hair-pulling. These behaviors can result in serious injury or death. Following are theories about the cause of self-injurious behavior in autistic individuals:
  • Frequency and/or continuation of self-injurious behavior can be influenced by environmental factors e.g. reward in return for halting self-injurious behavior. However this theory is not applicable to younger children with autism. There is some evidence that frequency of self-injurious behavior can be reduced by removing or modifying environmental factors that reinforce this behavior.
  • Higher rates of self-injury are also noted in socially isolated individuals with autism
  • Self-injury could be a response to modulate pain perception when chronic pain or other health problems that cause pain are present
  • An abnormal basal ganglia connectivity may predispose to self-injurious behavior

Causes

While specific causes of autism spectrum disorders have yet to be found, many risk factors identified in the research literature may contribute to their development. These risk factors include genetics, prenatal and perinatal factors, neuroanatomical abnormalities, and environmental factors. It is possible to identify general risk factors, but much more difficult to pinpoint specific factors. Given the current state of knowledge, prediction can only be of a global nature and therefore requires the use of general markers.

Genetics

Hundreds of different genes are implicated in susceptibility to developing autism, most of which alter the brain structure in a similar way

As of 2018, it appeared that somewhere between 74% and 93% of ASD risk is heritable. After an older child is diagnosed with ASD, 7–20% of subsequent children are likely to be as well. If parents have a child with ASD they have a 2% to 8% chance of having a second child with ASD. If the child with ASD is an identical twin the other will be affected 36 to 95 percent of the time. If they are fraternal twins the other will only be affected up to 31 percent of the time.

As of 2018, understanding of genetic risk factors had shifted from a focus on a few alleles, to an understanding that genetic involvement in ASD is probably diffuse, depending on a large number of variants, some of which are common and have a small effect, and some of which are rare and have a large effect. The most common gene disrupted with large effect rare variants appeared to be CHD8, but less than 0.5% of people with ASD have such a mutation. Some ASD is associated with clearly genetic conditions, like fragile X syndrome; however only around 2% of people with ASD have fragile X.

Current research suggests that genes that increase susceptibility to ASD are ones that control protein synthesis in neuronal cells in response to cell needs, activity and adhesion of neuronal cells, synapse formation and remodeling, and excitatory to inhibitory neurotransmitter balance. Therefore despite up to 1000 different genes thought to contribute to increased risk of ASD, all of them eventually affect normal neural development and connectivity between different functional areas of the brain in a similar manner that is characteristic of an ASD brain. Some of these genes are knows to modulate production of the GABA neurotransmitter which is the main inhibitory neurotransmitter in the nervous system. These GABA-related genes are underexpressed in an ASD brain. On the other hand, genes controlling expression of glial and immune cells in the brain e.g. astrocytes and microglia, respectively, are overexpressed which correlates with increased number of glial and immune cells found in postmortem ASD brains. Some genes under investigation in ASD pathophysiology are those that affect the mTOR signaling pathway which supports cell growth and survival.

All these genetic variants contribute to the development of the autistic spectrum, however, it can not be guaranteed that they are determinants for the development.

Early life

Several prenatal and perinatal complications have been reported as possible risk factors for autism. These risk factors include maternal gestational diabetes, maternal and paternal age over 30, bleeding after first trimester, use of prescription medication (e.g. valproate) during pregnancy, and meconium in the amniotic fluid. While research is not conclusive on the relation of these factors to autism, each of these factors has been identified more frequently in children with autism, compared to their siblings who do not have autism, and other typically developing youth. While it is unclear if any single factors during the prenatal phase affect the risk of autism, complications during pregnancy may be a risk.

Low vitamin D levels in early development has been hypothesized as a risk factor for autism.

Disproven vaccine hypothesis

In 1998 Andrew Wakefield led a fraudulent study that suggested that the MMR vaccine may cause autism. This conjecture suggested that autism results from brain damage caused either by the MMR vaccine itself, or by thimerosal, a vaccine preservative. No convincing scientific evidence supports these claims, and further evidence continues to refute them, including the observation that the rate of autism continues to climb despite elimination of thimerosal from routine childhood vaccines. A 2014 meta-analysis examined ten major studies on autism and vaccines involving 1.25 million children worldwide; it concluded that neither the MMR vaccine, which has never contained thimerosal, nor the vaccine components thimerosal or mercury, lead to the development of ASDs.

Pathophysiology

In general, neuroanatomical studies support the concept that autism may involve a combination of brain enlargement in some areas and reduction in others. These studies suggest that autism may be caused by abnormal neuronal growth and pruning during the early stages of prenatal and postnatal brain development, leaving some areas of the brain with too many neurons and other areas with too few neurons. Some research has reported an overall brain enlargement in autism, while others suggest abnormalities in several areas of the brain, including the frontal lobe, the mirror neuron system, the limbic system, the temporal lobe, and the corpus callosum.

In functional neuroimaging studies, when performing theory of mind and facial emotion response tasks, the median person on the autism spectrum exhibits less activation in the primary and secondary somatosensory cortices of the brain than the median member of a properly sampled control population. This finding coincides with reports demonstrating abnormal patterns of cortical thickness and grey matter volume in those regions of autistic persons' brains.

Brain connectivity

Brains of autistic individuals have been observed to have abnormal connectivity and the degree of these abnormalities directly correlates with the severity of autism. Following are some observed abnormal connectivity patterns in autistic individuals:
  • Decreased connectivity between different specialized regions of the brain (e.g. lower neuron density in corpus callosum) and relative overconnectivity within specialized regions of the brain by adulthood. Connectivity between different regions of the brain ('long-range' connectivity) is important for integration and global processing of information and comparing incoming sensory information with the existing model of the world within the brain. Connections within each specialized regions ('short-range' connections) are important for processing individual details and modifying the existing model of the world within the brain to more closely reflect incoming sensory information. In infancy, children at high risk for autism that were later diagnosed with autism were observed to have abnormally high long-range connectivity which then decreased through childhood to eventual long-range underconnectivity by adulthood.
  • Abnormal preferential processing of information by the left hemisphere of the brain vs. preferential processing of information by right hemisphere in neurotypical individuals. The left hemisphere is associated with processing information related to details whereas the right hemisphere is associated with processing information in a more global and integrated sense that is essential for pattern recognition. For example, visual information like face recognition is normally processed by the right hemisphere which tends to integrate all information from an incoming sensory signal, whereas an ASD brain preferentially processes visual information in the left hemisphere where information tends to be processed for local details of the face rather than the overall configuration of the face. This left lateralization negatively impacts both facial recognition and spatial skills.
  • Increased functional connectivity within the left hemisphere which directly correlates with severity of autism. This observation also supports preferential processing of details of individual components of sensory information over global processing of sensory information in an ASD brain.
  • Prominent abnormal connectivity in the frontal and occipital regions. In autistic individuals low connectivity in the frontal cortex was observed from infancy through adulthood. This is in contrast to long-range connectivity which is high in infancy and low in adulthood in ASD. Abnormal neural organization is also observed in the Broca's area which is important for speech production.

Neuropathology

Listed below are some characteristic findings in ASD brains on molecular and cellular levels regardless of the specific genetic variation or mutation contributing to autism in a particular individual:
  • Limbic system with smaller neurons that are more densely packed together. Given that the limbic system is the main center of emotions and memory in the human brain, this observation may explain social impairment in ASD.
  • Fewer and smaller Purkinje neurons in the cerebellum. New research suggest a role of the cerebellum in emotional processing and language.
  • Increased number of astrocytes and microglia in the cerebral cortex. These cells provide metabolic and functional support to neurons and act as immune cells in the nervous system, respectively.
  • Increased brain size in early childhood causing macrocephaly in 15–20% of ASD individuals. The brain size however normalizes by mid-childhood. This variation in brain size in not uniform in the ASD brain with some parts like the frontal and temporal lobes being larger, some like the parietal and occipital lobes being normal sized, and some like cerebellar vermis, corpus callosum, and basal ganglia being smaller than neurotypical individuals.
  • Cell-adhesion molecules (CAMs) that are essential to formation and maintenance of connections between neurons, neuroligins found on postsynaptic neurons that bind presynaptic CAMs, and proteins that anchor CAMs to neurons are all found to be mutated in ASD.

Gut-immune-brain axis

Role of gut-immune-brain axis in autism; BBB – blood brain barrier

Up to 70% of autistic individuals have GI related problems like reflux, diarrhea, constipation, inflammatory bowel disease, and food allergies. The severity of GI symptoms is directly proportional to the severity of autism. It has also been shown that the makeup of gut bacteria in ASD patients is different than that of neurotypical individuals. This has raised the question of influence of gut bacteria on ASD development via inducing an inflammatory state.

Listed below are some research findings on the influence of gut bacteria and abnormal immune responses on brain development:
  • Some studies on rodents have shown gut bacteria influencing emotional functions and neurotransmitter balance in the brain, both of which are impacted in ASD.
  • The immune system is thought to be the intermediary that modulates the influence of gut bacteria on the brain. Some ASD individuals have a dysfunctional immune system with higher numbers of some types of immune cells, biochemical messengers and modulators, and autoimmune antibodies. Increased inflammatory biomarkers correlate with increased severity of ASD symptoms and there is evidence to support a state of chronic brain inflammation in ASD.
  • More pronounced inflammatory responses to bacteria were found in ASD individuals with an abnormal gut microbiota. Additionally IgA antibodies that are central to gut immunity were also found in elevated levels in ASD populations. Some of these antibodies may also attack proteins that support myelination of the brain, a process that is important for robust transmission of neural signal in many nerves.
  • Activation of the maternal immune system during pregnancy (by gut bacteria, bacterial toxins, an infection, or non-infectious causes) and gut bacteria in the mother that induce increased levels of Th17, a proinflammatory immune cell, have been associated with an increased risk of autism. Some maternal IgG antibodies that cross the placenta to provide passive immunity to the fetus can also attack the fetal brain. One study found that 12% of mothers of autistic children have IgG that are active against the fetal brain.
  • Inflammation within the gut itself does not directly affect brain development. Rather it is the inflammation within the brain promoted by inflammatory responses to harmful gut microbiome that impact brain development.
  • Proinflammatory biomessengers IFN-γ, IFN-α, TNF-α, IL-6 and IL-17 have been shown to promote autistic behaviors in animal models. Giving anti-IL-6 and anti-IL-17 along with IL-6 and IL-17, respectively, have been shown to negate this effect in the same animal models.
  • Some gut proteins and microbial products can cross the blood-brain barrier (BBB) and activate mast cells in the brain. Mast cells release proinflammatory factors and histamine which further increase BBB permeability and help set up a cycle of chronic inflammation.

Mirror neuron system

The mirror neuron system (MNS) consists of a network of brain areas that have been associated with empathy processes in humans. In humans, the MNS has been identified in the inferior frontal gyrus (IFG) and the inferior parietal lobule (IPL) and is thought to be activated during imitation or observation of behaviors. The connection between mirror neuron dysfunction and autism is tentative, and it remains to be seen how mirror neurons may be related to many of the important characteristics of autism.

"Social brain" interconnectivity

A number of discrete brain regions and networks among regions that are involved in dealing with other people have been discussed together under the rubric of the "social brain". As of 2012, there is a consensus that autism spectrum is likely related to problems with interconnectivity among these regions and networks, rather than problems with any specific region or network.

Temporal lobe

Functions of the temporal lobe are related to many of the deficits observed in individuals with ASDs, such as receptive language, social cognition, joint attention, action observation, and empathy. The temporal lobe also contains the superior temporal sulcus (STS) and the fusiform face area (FFA), which may mediate facial processing. It has been argued that dysfunction in the STS underlies the social deficits that characterize autism. Compared to typically developing individuals, one fMRI study found that individuals with high-functioning autism had reduced activity in the FFA when viewing pictures of faces.

Mitochondria

ASD could be linked to mitochondrial disease (MD), a basic cellular abnormality with the potential to cause disturbances in a wide range of body systems. A 2012 meta-analysis study, as well as other population studies have shown that approximately 5% of children with ASD meet the criteria for classical MD. It is unclear why the MD occurs considering that only 23% of children with both ASD and MD present with mitochondrial DNA (mtDNA) abnormalities.

Serotonin

Serotonin is a major neurotransmitter in the nervous system and contributes to formation of new neurons (neurogenesis), formation of new connections between neurons (synaptogenesis), remodeling of synapses, and survival and migration of neurons, processes that are necessary for a developing brain and some also necessary for learning in the adult brain. 45% of ASD individuals have been found to have increased blood serotonin levels. It has been hypothesized that increased activity of serotonin in the developing brain may facilitate the onset of autism spectrum disorder, with an association found in six out of eight studies between the use of selective serotonin reuptake inhibitors (SSRIs) by the pregnant mother and the development of ASD in the child exposed to SSRI in the antenatal environment. The study could not definitively conclude SSRIs caused the increased risk for ASDs due to the biases found in those studies, and the authors called for more definitive, better conducted studies. Confounding by indication has since then been shown to be likely. However, it is also hypothesized that SSRIs may help reduce symptoms of ASD and even positively affect brain development in some ASD patients.

Diagnosis

Process for screening and diagnosing Autism Spectrum Disorder; ASD – Autism Spectrum Disorder; M-CHAT – Modified Checklist for Autism in Toddlers; (+) – positive test result; (-) – negative test result

ASD can be detected as early as 18 months or even younger in some cases. A reliable diagnosis can usually be made by the age of two years, however, because of delays in seeking and administering assessments, diagnoses often occur much later. The diverse expressions of ASD behavioral and observational symptoms and absence of one specific genetic or molecular marker for the disease pose diagnostic challenges to clinicians who use assessment methods based on symptoms alone. Individuals with an ASD may present at various times of development (e.g., toddler, child, or adolescent), and symptom expression may vary over the course of development. Furthermore, clinicians who use those methods must differentiate among pervasive developmental disorders, and may also consider similar conditions, including intellectual disability not associated with a pervasive developmental disorder, specific language disorders, ADHD, anxiety, and psychotic disorders. Ideally the diagnosis of ASD should be given by a team of professionals from different disciplines (e.g. child psychiatrists, child neurologists, psychologists) and only after the child has been observed in many different settings.

Considering the unique challenges in diagnosing ASD using behavioral and observational assessment, specific practice parameters for its assessment were published by the American Academy of Neurology in the year 2000, the American Academy of Child and Adolescent Psychiatry in 1999, and a consensus panel with representation from various professional societies in 1999. The practice parameters outlined by these societies include an initial screening of children by general practitioners (i.e., "Level 1 screening") and for children who fail the initial screening, a comprehensive diagnostic assessment by experienced clinicians (i.e. "Level 2 evaluation"). Furthermore, it has been suggested that assessments of children with suspected ASD be evaluated within a developmental framework, include multiple informants (e.g., parents and teachers) from diverse contexts (e.g., home and school), and employ a multidisciplinary team of professionals (e.g., clinical psychologists, neuropsychologists, and psychiatrists).

As of 2019, psychologists would wait until a child showed initial evidence of ASD tendencies, then administer various psychological assessment tools to assess for ASD. Among these measurements, the Autism Diagnostic Interview-Revised (ADI-R) and the Autism Diagnostic Observation Schedule (ADOS) are considered the "gold standards" for assessing autistic children. The ADI-R is a semi-structured parent interview that probes for symptoms of autism by evaluating a child's current behavior and developmental history. The ADOS is a semistructured interactive evaluation of ASD symptoms that is used to measure social and communication abilities by eliciting several opportunities (or "presses") for spontaneous behaviors (e.g., eye contact) in standardized context. Various other questionnaires (e.g., The Childhood Autism Rating Scale, Autism Treatment Evaluation Checklist) and tests of cognitive functioning (e.g., The Peabody Picture Vocabulary Test) are typically included in an ASD assessment battery.

Screening

Screening recommendations for autism in children younger than 3 years are:
  • US Preventive Services Task Force (USPSTF) does not recommend universal screen of young children for autism due to poor evidence of benefits of this screening when parents and clinicians have no concerns about ASD. The major concern is a false-positive diagnosis that would burden a family with very time consuming and financially demanding treatment interventions when it is not truly required. USPSTF also did not find any robust studies showing effectiveness of behavioral therapies in reducing ASD symptom severity
  • American Academy of Pediatrics recommends ASD screening of all children between the ages if 18 and 24 months. The AAP also recommends that children who screen positive for ASD be referred to ASD treatment services without waiting for a comprehensive diagnostic workup.
  • The American Academy of Family Physicians did not find sufficient evidence of benefit of universal early screening for ASD
  • The American Academy of Neurology and Child Neurology Society recommends general routine screening for delayed or abnormal development in children followed by screening for ASD only if indicated by the general developmental screening
  • Thee American Academy of Child and Adolescent Psychiatry recommend routinely screening autism symptoms in young children
  • The UK National Screening Committee does not recommend universal ASD screening in young children. Their main concerns includes higher chances of misdiagnosis at younger ages and lack of evidence of effectiveness of early interventions

Misdiagnosis

There is a concern about significant levels of misdiagnosis of autism in neurodevelopmentally normal children. This is because 18–37% of children diagnosed with ASD eventually lose their diagnosis and this high rate of lost diagnosis cannot be accounted for by successful ASD treatment alone. The common reasons parents understood as the cause of lost ASD diagnosis were new information about child (73.5%), diagnosis given so child could receive ASD treatment services (24.2%) to treat another developmental disorder, ASD treatment success (21%), and incorrect diagnosis (1.9%).

Many of the children who were later found not to meet ASD diagnosis criteria then received diagnosis for another developmental disorder like ADHD (most common), sensory disorders, anxiety, personality disorder, or learning disability. Neurodevelopment and psychiatric disorders that are commonly misdiagnosed as ASD include specific language impairment, social communication disorder, anxiety disorder, reactive attachment disorder, cognitive impairment, visual impairment, hearing impairment and normal behavioral variations. Some normal behavioral variations that resemble autistic traits are repetitive behaviors, sensitivity to change in daily routines, focused interests, and toe-walking. These are considered normal behavioral variations when they do not cause impaired function. Boys are more likely to exhibit repetitive behaviors especially when excited, tired, bored, or stressed. Some ways of distinguishing normal behavioral variations from abnormal behaviors are the ability of the child to suppress these behaviors and the absence of these behaviors during sleep.

Listed below are some risk factors for ASD misdiagnosis:
  • Children diagnosed with PDD-NOS or a mild form of ASD which may be harder to distinguish from other developmental delays
  • Children diagnosed with ASD whose parents had no concerns about abnormal development in their child
  • Initial ASD diagnosis given by generalists (e.g. pediatricians, family physicians etc.), mental health providers, and schools rather than specialists in child neurodevelopmental disorders e.g. child psychiatrists or child neurologists

Prognosis

Few children who are correctly diagnosed with ASD are thought to lose this diagnosis due to treatment or outgrowing their symptoms. Children with poor treatment outcomes also tend to be ones that had moderate to severe forms of ASD, whereas children who appear to have responded to treatment are the ones with milder forms of ASD.

Comorbidity

Autism spectrum disorders tend to be highly comorbid with other disorders. Comorbidity may increase with age and may worsen the course of youth with ASDs and make intervention/treatment more difficult. Distinguishing between ASDs and other diagnoses can be challenging, because the traits of ASDs often overlap with symptoms of other disorders, and the characteristics of ASDs make traditional diagnostic procedures difficult.
  • The most common medical condition occurring in individuals with autism spectrum disorders is seizure disorder or epilepsy, which occurs in 11–39% of individuals with ASD.
  • Tuberous sclerosis, an autosomal dominant genetic condition in which non-malignant tumors grow in the brain and on other vital organs, is present in 1–4% of individuals with ASDs.
  • Intellectual disabilities are some of the most common comorbid disorders with ASDs. Recent estimates suggest that 40–69% of individuals with ASD have some degree of an intellectual disability, more likely to be severe for females. A number of genetic syndromes causing intellectual disability may also be comorbid with ASD, including fragile X, Down, Prader-Willi, Angelman, Williams syndrome and SYNGAP1-related intellectual disability.
  • Learning disabilities are also highly comorbid in individuals with an ASD. Approximately 25–75% of individuals with an ASD also have some degree of a learning disability.
  • Various anxiety disorders tend to co-occur with autism spectrum disorders, with overall comorbidity rates of 7–84%. Rates of comorbid depression in individuals with an ASD range from 4–58%. The relationship between ASD and schizophrenia remains a controversial subject under continued investigation, and recent meta-analyses have examined genetic, environmental, infectious, and immune risk factors that may be shared between the two conditions.
  • Deficits in ASD are often linked to behavior problems, such as difficulties following directions, being cooperative, and doing things on other people's terms. Symptoms similar to those of attention deficit hyperactivity disorder (ADHD) can be part of an ASD diagnosis.
  • Sensory processing disorder is also comorbid with ASD, with comorbidity rates of 42–88%.
  • Starting in adolescence, some people with Asperger syndrome (26% in one sample) fall under the criteria for the similar condition schizoid personality disorder, which is characterised by a lack of interest in social relationships, a tendency towards a solitary or sheltered lifestyle, secretiveness, emotional coldness, detachment and apathy. Asperger syndrome was traditionally called "schizoid disorder of childhood".

Treatment

Intensive, sustained special education programs and behavior therapy early in life can help children acquire self-care, social, and job skills. Available approaches include applied behavior analysis, developmental models, structured teaching, speech and language therapy, social skills therapy, and occupational therapy. Among these approaches, interventions either treat autistic features comprehensively, or focus treatment on a specific area of deficit. Generally, when educating those with autism, specific tactics may be used to effectively relay information to these individuals. Using as much social interaction as possible is key in targeting the inhibition autistic individuals experience concerning person-to-person contact. Additionally, research has shown that employing semantic groupings, which involves assigning words to typical conceptual categories, can be beneficial in fostering learning.

There has been increasing attention to the development of evidence-based interventions for young children with ASD. Two theoretical frameworks outlined for early childhood intervention include applied behavioral analysis (ABA) and the developmental social-pragmatic model (DSP). Although ABA therapy has a strong evidence base, particularly in regard to early intensive home-based therapy, ABA's effectiveness may be limited by diagnostic severity and IQ of the person affected by ASD. The Journal of Clinical Child and Adolescent Psychology has deemed two early childhood interventions as "well-established": individual comprehensive ABA, and focused teacher-implemented ABA combined with DSP.

Another evidence-based intervention that has demonstrated efficacy is a parent training model, which teaches parents how to implement various ABA and DSP techniques themselves. Various DSP programs have been developed to explicitly deliver intervention systems through at-home parent implementation.

A multitude of unresearched alternative therapies have also been implemented. Many have resulted in harm to autistic people and should not be employed unless proven to be safe. However, a recent systematic review on adults with autism has provided emerging evidence for decreasing stress, anxiety, ruminating thoughts, anger, and aggression through mindfulness-based interventions for improving mental health.

In October 2015, the American Academy of Pediatrics (AAP) proposed new evidence-based recommendations for early interventions in ASD for children under 3. These recommendations emphasize early involvement with both developmental and behavioral methods, support by and for parents and caregivers, and a focus on both the core and associated symptoms of ASD. However, a Cochrane review found no evidence that early intensive behavioral intervention (EIBI) is effective in reducing behavioral problems associated with autism in most children with ASD but did help improve IQ and language skills. The Chochrane review did acknowledge that this may be due to the low quality of studies currently available on EIBI and therefore providers should recommend EIBI based on their clinical judgement and the family's preferences. No advere effects of EIBI treatment were found. Studies on pet therapy have shown positive effects.

Generally speaking, treatment of ASD focuses on behavioral and educational interventions to target its two core symptoms: social communication deficits and restricted, repetitive behaviors. If symptoms continue after behavioral strategies have been implemented, some medications can be recommended to target specific symptoms or co-existing problems such as restricted and repetitive behaviors (RRBs), anxiety, depression, hyperactivity/inattention and sleep disturbance. Melatonin for example can be used for sleep problems.

While there are a number of parent-mediated behavioral therapies to target social communication deficits in children with autism, there is uncertainty regarding the efficacy of interventions to treat RRBs.

There is some emerging data that show positive effects of risperidone on restricted and repetitive behaviors, but due to the small sample size of these studies and the concerns about its side effects, antipsychotics are not recommended as primary treatment of RRBs.

Epidemiology

While rates of autism spectrum disorders are consistent across cultures, they vary greatly by gender, with boys diagnosed far more frequently than girls. The average male-to-female diagnosis ratio for ASDs is 4.2:1, with 1 in 70 boys, but only 1 in 315 girls. Girls, however, are more likely to have associated cognitive impairment. Among those with an ASD and intellectual disability, the sex ratio may be closer to 2:1. Prevalence differences may be a result of gender differences in expression of clinical symptoms, with women and girls with autism showing less atypical behaviors and, therefore, less likely to receive an ASD diagnosis.

Autism prevalence has been estimated at 1-2 per 1,000, Asperger syndrome at roughly 0.6 per 1,000, childhood disintegrative disorder at 0.02 per 1,000, and PDD-NOS at 3.7 per 1,000. These rates are consistent across cultures and ethnic groups, as autism is considered a universal disorder.

Using DSM-V criteria 92% of the children diagnosed with a autism spectrum disorder per DSM-IV still meet the diagnostic criteria of an autism spectrum disorder. However if both Autism Spectrum Disorder and Social Communication Disorder categories of DSM-V are combined, the prevalence of autism is mostly unchanged from the prevalence per the DSM-IV criteria. The best estimate for prevalence of ASD is 0.7% or 1 child in 143 children. Relatively mild forms of autism, such as Aspergers as well as other developmental disorders were included in the recent DSM-5 diagnostic criteria. ASD rates were constant between 2014 and 2016 but twice the rate compared to the time period between 2011 and 2014 (1.25 vs 2.47%). A Canadian meta-analysis from 2019 confirmed these effects as the profiles of people diagnosed with autism became less and less different from the profiles of the general population. In the US, the rates for diagnosed ASD have been steadily increasing since 2000 when records began being kept. While it remains unclear whether this trend represents a true rise in incidence, it likely reflects changes in ASD diagnostic criteria, improved detection, and increased public awareness of autism.

United States

In the United States it is estimated to affect more than 2% of children (about 1.5 million) as of 2016. According to the latest CDC prevalence reports, 1 in 59 children (1.7%) in the United States had a diagnosis of ASD in 2014, reflecting a 2.5-fold increase from the prevalence rate in 2000. Prevalence is estimated at 6 per 1,000 for autism spectrum disorders as a whole, although prevalence rates vary for each of the developmental disorders in the spectrum.

History

Controversies have surrounded various claims regarding the etiology of autism spectrum disorders. In the 1950s, the "refrigerator mother theory" emerged as an explanation for autism. The hypothesis was based on the idea that autistic behaviors stem from the emotional frigidity, lack of warmth, and cold, distant, rejecting demeanor of a child's mother. Naturally, parents of children with an autism spectrum disorder suffered from blame, guilt, and self-doubt, especially as the theory was embraced by the medical establishment and went largely unchallenged into the mid-1960s. The "refrigerator mother" theory has since continued to be refuted in scientific literature, including a 2015 systematic review which showed no association between caregiver interaction and language outcomes in ASD.

Leo Kanner, a child psychiatrist, was the first person to describe ASD as a neurodevelopmental disorder in 1943 by calling it 'infantile autism' and therefore rejected the 'refrigerator mother' theory.

Another controversial claim suggests that watching extensive amounts of television may cause autism. This hypothesis was largely based on research suggesting that the increasing rates of autism in the 1970s and 1980s were linked to the growth of cable television at this time.

Society and culture

Caregivers

Families who care for an autistic child face added stress from a number of different causes. Parents may struggle to understand the diagnosis and to find appropriate care options. Parents often take a negative view of the diagnosis, and may struggle emotionally. In the words of one parent whose two children were both diagnosed with autism, "In the moment of diagnosis, it feels like the death of your hopes and dreams." More than half of parents over the age of 50 are still living with their child as about 85% of people with ASD have difficulties living independently.

Autism rights movement

The autism rights movement is a social movement within the context of disability rights that emphasizes the concept of neurodiversity, viewing the autism spectrum as a result of natural variations in the human brain rather than a disorder to be cured. The autism rights movement advocates for including greater acceptance of autistic behaviors; therapies that focus on coping skills rather than imitating the behaviors of those without autism; and the recognition of the autistic community as a minority group. Autism rights or neurodiversity advocates believe that the autism spectrum is genetic and should be accepted as a natural expression of the human genome. This perspective is distinct from two other likewise distinct views: the medical perspective, that autism is caused by a genetic defect and should be addressed by targeting the autism gene(s), and fringe theories that autism is caused by environmental factors such as vaccines. A common criticism against autistic activists is that the majority of them are "high-functioning" or have Asperger syndrome and do not represent the views of "low-functioning" autistic people.

Academic performance

The number of students identified and served as eligible for autism services in the United States has increased from 5,413 children in 1991–1992 to 370,011 children in the 2010–2011 academic school year. The United States Department of Health and Human Services reported approximately 1 in 68 children at age 8 are diagnosed with autism spectrum disorder (ASD) although onset is typically between ages 2 and 4.

The increasing number of students with ASD in the schools presents significant challenges to teachers, school psychologists, and other school professionals. These challenges include developing a consistent practice that best support the social and cognitive development of the increasing number of students with ASD. Although there is considerable research addressing assessment, identification, and support services for children with ASD, there is a need for further research focused on these topics within the school context. Further research on appropriate support services for students with ASD will provide school psychologists and other education professionals with specific directions for advocacy and service delivery that aim to enhance school outcomes for students with ASD.

Attempts to identify and use best intervention practices for students with autism also pose a challenge due to overdependence on popular or well-known interventions and curricula. Some evidence suggests that although these interventions work for some students, there remains a lack of specificity for which type of student, under what environmental conditions (one-on-one, specialized instruction or general education) and for which targeted deficits they work best. More research is needed to identify what assessment methods are most effective for identifying the level of educational needs for students with ASD.

A difficulty for academic performance in students with ASD, is the tendency to generalize learning. Learning is different for each student, which is the same for students with ASD. To assist in learning, accommodations are commonly put into place for students with differing abilities. The existing schema of these students works in different ways and can be adjusted to best support the educational development for each student.

The cost of educating a student with ASD in the US is about $8,600 a year more than the cost of educating an average student, which is about $12,000.

Employment

About half of people in their 20s with autism are unemployed, and one third of those with graduate degrees may be unemployed. Among those on the autism spectrum who find work, most are employed in sheltered settings working for wages below the national minimum. While employers state hiring concerns about productivity and supervision, experienced employers of autistics give positive reports of above average memory and detail orientation as well as a high regard for rules and procedure in autistic employees. A majority of the economic burden of autism is caused by lost productivity in the job market. Some studies also find decreased earning among parents who care for autistic children. Adding content related to autism in existing diversity training can clarify misconceptions, support employees, and help provide new opportunities for autistics.

Monday, August 3, 2020

Behavior analysis of child development

From Wikipedia, the free encyclopedia
 
The behavioral analysis of child development originates from John B. Watson's behaviorism. Watson studied child development, looking specifically at development through conditioning. He helped bring a natural science perspective to child psychology by introducing objective research methods based on observable and measurable behavior. B.F. Skinner then further extended this model to cover operant conditioning and verbal behavior. Skinner was then able to focus these research methods on feelings and how those emotions can be shaped by a subject's interaction with the environment. Sidney Bijou (1955) was the first to use this methodological approach extensively with children.

History

In 1948, Sidney Bijou took a position as associate professor of psychology at the University of Washington and served as director of the university's Institute of Child Development. Under his leadership, the Institute added a child development clinic, nursery school classrooms, and a research lab. Bijou began working with Donald Baer in the Department of Human Development and Family Life at the University of Kansas, applying behavior analytic principles to child development in an area referred to as "Behavioral Development" or "Behavior Analysis of Child Development". Skinner's behavioral approach and Kantor's interbehavioral approach were adopted in Bijou and Baer's model. They created a three-stage model of development (e.g., basic, foundational, and societal). Bijou and Baer looked at these socially determined stages, as opposed to organizing behavior into change points or cusps (behavioral cusp). In the behavioral model, development is considered a behavioral change. It is dependent on the kind of stimulus and the person's behavioral and learning function. Behavior analysis in child development takes a mechanistic, contextual, and pragmatic approach.

From its inception, the behavioral model has focused on prediction and control of the developmental process. The model focuses on the analysis of a behavior and then synthesizes the action to support the original behavior. The model was changed after Richard J. Herrnstein studied the matching law of choice behavior developed by studying of reinforcement in the natural environment. More recently, the model has focused more on behavior over time and the way that behavioral responses become repetitive. it has become concerned with how behavior is selected over time and forms into stable patterns of responding. A detailed history of this model was written by Pelaez. In 1995, Henry D. Schlinger, Jr. provided the first behavior analytic text since Bijou and Baer comprehensively showed how behavior analysis—a natural science approach to human behavior—could be used to understand existing research in child development. In addition, the quantitative behavioral developmental model by Commons and Miller is the first behavioral theory and research to address notion similar to stage.

Research methods

The methods used to analyze behavior in child development are based on several types of measurements. Single-subject research with a longitudinal study follow-up is a commonly-used approach. Current research is focused on integrating single-subject designs through meta-analysis to determine the effect sizes of behavioral factors in development. Lag sequential analysis has become popular for tracking the stream of behavior during observations. Group designs are increasingly being used. Model construction research involves latent growth modeling to determine developmental trajectories and structural equation modeling. Rasch analysis is now widely used to show sequentiality within a developmental trajectory.

A recent methodological change in the behavioral analytic theory is the use of observational methods combined with lag sequential analysis can determine reinforcement in the natural setting.

Quantitative behavioral development

The model of hierarchical complexity is a quantitative analytic theory of development. This model offers an explanation for why certain tasks are acquired earlier than others through developmental sequences and gives an explanation of the biological, cultural, organizational, and individual principles of performance. It quantifies the order of hierarchical complexity of a task based on explicit and mathematical measurements of behavior.

Research

Contingencies, uncertainty, and attachment

The behavioral model of attachment recognizes the role of uncertainty in an infant and the child's limited communication abilities. Contingent relationships are instrumental in the behavior analytic theory, because much emphasis is put on those actions that produce parents’ responses.

The importance of contingency appears to be highlighted in other developmental theories, but the behavioral model recognizes that contingency must be determined by two factors: the efficiency of the action and that efficiency compared to other tasks that the infant might perform at that point. Both infants and adults function in their environments by understanding these contingent relationships. Research has shown that contingent relationships lead to emotionally satisfying relationships.

Since 1961, behavioral research has shown that there is relationship between the parents’ responses to separation from the infant and outcomes of a “stranger situation.”. In a study done in 2000, six infants participated in a classic reversal design study that assessed infant approach rate to a stranger. If attention was based on stranger avoidance, the infant avoided the stranger. If attention was placed on infant approach, the infant approached the stranger.

Recent meta-analytic studies of this model of attachment based on contingency found a moderate effect of contingency on attachment, which increased to a large effect size when the quality of reinforcement was considered. Other research on contingency highlights its effect on the development of both pro-social and anti-social behavior. These effects can also be furthered by training parents to become more sensitive to children's behaviors, Meta-analytic research supports the notion that attachment is operant-based learning.

An infant's sensitivity to contingencies can be affected by biological factors and environment changes. Studies show that being placed in erratic environments with few contingencies may cause a child to have conduct problems and may lead to depression. (see Behavioral Development and Depression below). Research continues to look at the effects of learning-based attachment on moral development. Some studies have shown that erratic use of contingencies by parents early in life can produce devastating long-term effects for the child.

Motor development

Since Watson developed the theory of behaviorism, behavior analysts have held that motor development represents a conditioning process. This holds that crawling, climbing, and walking displayed by infants represents conditioning of biologically innate reflexes. In this case, the reflex of stepping is the respondent behavior and these reflexes are environmentally conditioned through experience and practice. This position was criticized by maturation theorists. They believed that the stepping reflex for infants actually disappeared over time and was not "continuous". By working with a slightly different theoretical model, while still using operant conditioning, Esther Thelen was able to show that children's stepping reflex disappears as a function of increased physical weight. However, when infants were placed in water, that same stepping reflex returned. This offered a model for the continuity of the stepping reflex and the progressive stimulation model for behavior analysts.

Infants deprived of physical stimulation or the opportunity to respond were found to have delayed motor development. Under conditions of extra stimulation, the motor behavior of these children rapidly improved. Some research has shown that the use of a treadmill can be beneficial to children with motor delays including Down syndrome and cerebral palsy. Research on opportunity to respond and the building of motor development continues today.

The behavioral development model of motor activity has produced a number of techniques, including operant-based biofeedback to facilitate development with success. Some of the stimulation methods such as operant-based biofeedback have been applied as treatment to children with cerebral palsy and even spinal injury successfully. Brucker's group demonstrated that specific operant conditioning-based biofeedback procedures can be effective in establishing more efficient use of remaining and surviving central nervous system cells after injury or after birth complications (like cerebral palsy). While such methods are not a cure and gains tend to be in the moderate range, they do show ability to enhance functioning.

Imitation and verbal behavior

Behaviorists have studied verbal behavior since the 1920s. E.A. Esper (1920) studied associative models of language, which has evolved into the current language interventions of matrix training and recombinative generalization. Skinner (1957) created a comprehensive taxonomy of language for speakers. Baer, along with Zettle and Haynes (1989), provided a developmental analysis of rule-governed behavior for the listener. and for the listener Zettle and Hayes (1989) with Don Baer providing a developmental analysis of rule-governed behavior. According to Skinner, language learning depends on environmental variables, which can be mastered by a child through imitation, practice, and selective reinforcement including automatic reinforcement.

B.F. Skinner was one of the first psychologists to take the role of imitation in verbal behavior as a serious mechanism for acquisition. He identified echoic behavior as one of his basic verbal operants, postulating that verbal behavior was learned by an infant from a verbal community. Skinner's account takes verbal behavior beyond an intra-individual process to an inter-individual process. He defined verbal behavior as "behavior reinforced through the mediation of others". Noam Chomsky refuted Skinner's assumptions.

In the behavioral model, the child is prepared to contact the contingencies to "join" the listener and speaker. At the very core, verbal episodes involve the rotation of the roles as speaker and listener. These kinds of exchanges are called conversational units and have been the focus of research at Columbia's communication disorders department.

Conversational units is a measure of socialization because they consist of verbal interactions in which the exchange is reinforced by both the speaker and the listener. H.C. Chu (1998) demonstrated contextual conditions for inducing and expanding conversational units between children with autism and non-handicapped siblings in two separate experiments. The acquisition of conversational units and the expansion of verbal behavior decrease incidences of physical "aggression" in the Chu study and several other reviews suggest similar effects. The joining of the listener and speaker progresses from listener speaker rotations with others as a likely precedent for the three major components of speaker-as-own listener—say so correspondence, self-talk conversational units, and naming.

Development of self

Robert Kohelenberg and Mavis Tsai (1991) created a behavior analytic model accounting for the development of one's “self”. Their model proposes that verbal processes can be used to form a stable sense of who we are through behavioral processes such as stimulus control. Kohlenberg and Tsai developed functional analytic psychotherapy to treat psychopathological disorders arising from the frequent invalidations of a child's statements such that “I” does not emerge. Other behavior analytic models for personality disorders exist. They trace out the complex biological–environmental interaction for the development of avoidant and borderline personality disorders. They focus on Reinforcement sensitivity theory, which states that some individuals are more or less sensitive to reinforcement than others. Nelson-Grey views problematic response classes as being maintained by reinforcing consequences or through rule governance.

Socialization

Over the last few decades, studies have supported the idea that contingent use of reinforcement and punishment over extended periods of time lead to the development of both pro-social and anti-social behaviors. However research has shown that reinforcement is more effective than punishment when teaching behavior to a child. It has also been shown that modeling is more effective than “preaching” in developing pro-social behavior in children. Rewards have also been closely studied in relation to the development of social behaviors in children. The building of self-control, empathy, and cooperation has all implicated rewards as a successful tactic, while sharing has been strongly linked with reinforcement.

The development of social skills in children is largely affected in that classroom setting by both teachers and peers. Reinforcement and punishment play major roles here as well. Peers frequently reinforce each other's behavior. One of the major areas that teachers and peers influence is sex-typed behavior, while peers also largely influence modes of initiating interaction, and aggression. Peers are more likely to punish cross-gender play while at the same time reinforcing play specific to gender. Some studies found that teachers were more likely to reinforce dependent behavior in females.

Behavioral principles have also been researched in emerging peer groups, focusing on status. Research shows that it takes different social skills to enter groups than it does to maintain or build one's status in groups. Research also suggests that neglected children are the least interactive and aversive, yet remain relatively unknown in groups. Children suffering from social problems do see an improvement in social skills after behavior therapy and behavior modification (see applied behavior analysis). Modeling has been successfully used to increase participation by shy and withdrawn children. Shaping of socially desirable behavior through positive reinforcement seems to have some of the most positive effects in children experiencing social problems.

Anti-social behavior

In the development of anti-social behavior, etiological models for anti-social behavior show considerable correlation with negative reinforcement and response matching. Escape conditioning, through the use of coercive behavior, has a powerful effect on the development and use of future anti-social tactics. The use of anti-social tactics during conflicts can be negatively reinforced and eventually seen as functional for the child in moment to moment interactions. Anti-social behaviors will also develop in children when imitation is reinforced by social approval. If approval is not given by teachers or parents, it can often be given by peers. An example of this is swearing. Imitating a parent, brother, peer, or a character on TV, a child may engage in the anti-social behavior of swearing. Upon saying it they may be reinforced by those around them which will lead to an increase in the anti-social behavior. The role of stimulus control has also been extensively explored in the development of anti-social behavior. Recent behavioral focus in the study of anti-social behavior has been a focus on rule-governed behavior. While correspondence for saying and doing has long been an interest for behavior analysts in normal development and typical socialization, recent conceptualizations have been built around families that actively train children in anti-social rules, as well as children who fail to develop rule control.

Developmental depression with origins in childhood

Behavioral theory of depression was outlined by Charles Ferster. A later revision was provided by Peter Lewisohn and Hyman Hops. Hops continued the work on the role of negative reinforcement in maintaining depression with Anthony Biglan. Additional factors such as the role of loss of contingent relations through extinction and punishment were taken from early work of Martin Seligman. The most recent summary and conceptual revisions of the behavioral model was provided by Johnathan Kanter. The standard model is that depression has multiple paths to develop. It can be generated by five basic processes, including: lack or loss of positive reinforcement, direct positive or negative reinforcement for depressive behavior, lack of rule-governed behavior or too much rule-governed behavior, and/or too much environmental punishment. For children, some of these variables could set the pattern for lifelong problems. For example, a child whose depressive behavior functions for negative reinforcement by stopping fighting between parents could develop a lifelong pattern of depressive behavior in the case of conflicts. Two paths that are particularly important are (1) lack or loss of reinforcement because of missing necessary skills at a developmental cusp point or (2) the failure to develop adequate rule-governed behavior. For the latter, the child could develop a pattern of always choosing the short-term small immediate reward (i.e., escaping studying for a test) at the expense of the long-term larger reward (passing courses in middle school). The treatment approach that emerged from this research is called behavioral activation.

In addition, use of positive reinforcement has been shown to improve symptoms of depression in children. Reinforcement has also been shown to improve the self-concept in children with depression comorbid with learning difficulties. Rawson and Tabb (1993) used reinforcement with 99 students (90 males and 9 females) aged from 8 to 12 with behavior disorders in a residential treatment program and showed significant reduction in depression symptoms compared to the control group.

Cognitive behavior

As children get older, direct control of contingencies is modified by the presence of rule-governed behavior. Rules serve as an establishing operation and set a motivational stage as well as a discrimintative stage for behavior. While the size of the effects on intellectual development are less clear, it appears that stimulation does have a facilitative effect on intellectual ability. However, it is important to be sure not to confuse the enhancing effect with the initial causal effect. Some data exists to show that children with developmental delays take more learning trials to acquire in material.

Learned units and developmental retardation

Behavior analysts have spent considerable time measuring learning in both the classroom and at home. In these settings, the role of a lack of stimulation has often been evidenced in the development of mild and moderate mental retardation. Recent work has focused on a model of "developmental retardation,". an area that emphasizes cumulative environmental effects and their role in developmental delays. To measure these developmental delays, subjects are given the opportunity to respond, defined as the instructional antecedent, and success is signified by the appropriate response and/or fluency in responses. Consequently, the learned unit is identified by the opportunity to respond in addition to given reinforcement.

One study employed this model by comparing students' time of instruction was in affluent schools to time of instruction in lower income schools. Results showed that lower income schools displayed approximately 15 minutes less instruction than more affluent schools due to disruptions in classroom management and behavior management. Altogether, these disruptions culminated into two years worth of lost instructional time by grade 10. The goal of behavior analytic research is to provide methods for reducing the overall number of children who fall into the retardation range of development by behavioral engineering.

Hart and Risely (1995, 1999) have completed extensive research on this topic as well. These researchers measured the rates of parent communication with children of the ages of 2–4 years and correlated this information with the IQ scores of the children at age 9. Their analyses revealed that higher parental communication with younger children was positively correlated with higher IQ in older children, even after controlling for race, class, and socio-economic status. Additionally, they concluded a significant change in IQ scores required intervention with at-risk children for approximately 40 hours per week.

Class formation

The formation of class-like behavior has also been a significant aspect in the behavioral analysis of development. . This research has provided multiple explanations to the development and formation of class-like behavior, including primary stimulus generalization, an analysis of abstraction, relational frame theory, stimulus class analysis (sometimes referred to as recombinative generalization), stimulus equivalence, and response class analysis. Multiple processes for class-like formation provide behavior analysts with relatively pragmatic explanations for common issues of novelty and generalization.

Responses are organized based upon the particular form needed to fit the current environmental challenges as well as the functional consequences. An example of large response classes lies in contingency adduction, which is an area that needs much further research, especially with a focus on how large classes of concepts shift. For example, as Piaget observed, individuals have a tendency at the pre-operational stage to have limits in their ability to preserve information(Piaget & Szeminska, 1952). While children's training in the development of conservation skills has been generally successful, complications have been noted. Behavior analysts argue that this is largely due to the number of tool skills that need to be developed and integrated. Contingency adduction offers a process by which such skills can be synthesized and which shows why it deserves further attention, particularly by early childhood interventionists.

Autism

Ferster (1961) was the first researcher to posit a behavior analytic theory for autism. Ferster's model saw autism as a by-product of social interactions between parent and child. Ferster presented an analysis of how a variety of contingencies of reinforcement between parent and child during early childhood might establish and strengthen a repertoire of behaviors typically seen in children diagnosed with autism. A similar model was proposed by Drash and Tutor (1993), who developed the contingency-shaped or behavioral incompatibility theory of autism. They identified at least six reinforcement paradigms that may contribute to significant deficiencies in verbal behavior typically characteristic of children diagnosed as austistic. They proposed that each of these paradigms may also create a repertoire of avoidance responses that could contribute to the establishment of a repertoire of behavior that would be incompatible with the acquisition of age-appropriate verbal behavior. More recent models attribute autism to neurological and sensory models that are overly worked and subsequently produce the autistic repertoire. Lovaas and Smith (1989) proposed that children with autism have a mismatch between their nervous systems and the environment, while Bijou and Ghezzi (1999) proposed a behavioral interference theory. However, both the environmental mismatch model and the inference model were recently reviewed, and new evidence shows support for the notion that the development of autistic behaviors are due to escape and avoidance of certain types of sensory stimuli. However, most behavioral models of autism remain largely speculative due to limited research efforts.

Role in education

One of the largest impacts of behavior analysis of child development is its role in the field of education. In 1968, Siegfried Englemann used operant conditioning techniques in a combination with rule learning to produce the direct instruction curriculum. In addition, Fred S. Keller used similar techniques to develop programmed instruction. B.F. Skinner developed a programmed instruction curriculum for teaching handwriting. One of Skinner's students, Ogden Lindsley, developed a standardized semilogrithmic chart, the "Standard Behavior Chart," now "Standard Celeration Chart," used to record frequencies of behavior, and to allow direct visual comparisons of both frequencies and changes in those frequencies (termed "celeration"). The use of this charting tool for analysis of instructional effects or other environmental variables through the direct measurement of learner performance has become known as precision teaching.

Behavior analysts with a focus on behavioral development form the basis of a movement called positive behavior support (PBS). PBS has focused on building safe schools.

In education, there are many different kinds of learning that are implemented to improve skills needed for interactions later in life. Examples of this differential learning include social and language skills. According to the NWREL (Northwest Regional Educational Laboratory), too much interaction with technology will hinder a child's social interactions with others due to its potential to become an addiction and subsequently lead to anti-social behavior. In terms of language development, children will start to learn and know about 5–20 different words by 18 months old.

Critiques of behavioral approach and new developments

Behavior analytic theories have been criticized for their focus on the explanation of the acquisition of relatively simple behavior (i.e., the behavior of nonhuman species, of infants, and of individuals who are intellectually disabled or autistic) rather than of complex behavior (see Commons & Miller). Michael Commons continued behavior analysis's rejection of mentalism and the substitution of a task analysis of the particular skills to be learned. In his new model, Commons has created a behavior analytic model of more complex behavior in line with more contemporary quantitative behavior analytic models called the model of hierarchical complexity. Commons constructed the model of hierarchical complexity of tasks and their corresponding stages of performance using just three main axioms.

In the study of development, recent work has been generated regarding the combination of behavior analytic views with dynamical systems theory. The added benefit of this approach is its portrayal of how small patterns of changes in behavior in terms of principles and mechanisms over time can produce substantial changes in development.

Current research in behavior analysis attempts to extend the patterns learned in childhood and to determine their impact on adult development.

Professional organizations

The Association for Behavior Analysis International has a special interest group for the behavior analysis of child development. 

Doctoral level behavior analysts who are psychologists belong to American Psychological Association's division 25: behavior analysis.

The World Association for Behavior Analysis has a certification in behavior therapy. The exam draws questions on behavioral theories of child development as well as behavioral theories of child psychopathology.

Representation of a Lie group

From Wikipedia, the free encyclopedia https://en.wikipedia.org/wiki/Representation_of_a_Lie_group...