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Event-related functional magnetic resonance imaging (efMRI) is a technique in
magnetic resonance imaging that can be used to detect changes in the BOLD (Blood Oxygen Level Dependent) hemodynamic response to
neural activity in response to certain events. Within fMRI
methodology,
there are two different ways that are typically employed to present
stimuli. One method is a block related design, in which two or more
different conditions are alternated in order to determine the
differences between the two conditions, or a control may be included in
the presentation occurring between the two conditions. By contrast,
event related designs are not presented in a set sequence; the
presentation is randomized and the time in between stimuli can vary.
efMRI attempts to model the change in fMRI signal in response to neural
events associated with behavioral trials. According to D'Esposito,
"event-related fMRI has the potential to address a number of cognitive
psychology questions with a degree of inferential and statistical power not previously available."
Each trial can be composed of one experimentally controlled (such as
the presentation of a word or picture) or a participant mediated "event"
(such as a motor response). Within each trial, there are a number of
events such as the presentation of a stimulus, delay period, and
response. If the experiment is properly set up and the different events
are timed correctly, efMRI allows a person to observe the differences in
neural activity associated with each event.
History
Positron Emission Tomography (PET), was the most frequently used
brain mapping
technique before the development of fMRI. There are a number of
advantages that are presented in comparison to PET. According to
D’Esposito, they include that fMRI “does not require an injection of
radioisotope into participants and is otherwise noninvasive, has better spatial resolution, and has better temporal resolution."
[2] The first MRI studies employed the use of “exogenous paramagnetic tracers to map changes in cerebral blood volume”,
[3][4]
which allowed for the assessment of brain activity over several
minutes. This changed with two advancements to MRI, the rapidness of MRI
techniques were increased to 1.5
Tesla
by the end of the 1980s, which provided a 2-d image. Next, endogenous
contrast mechanisms were discovered by Detre, Koretsky, and colleagues
was based on the net longitudinal magnetization within an organ, and a
“second based on changes in the magnetic susceptibility induced by
changing net tissue deoxyhemoglobin content”,
[3]
which has been labeled BOLD contrast by Siege Ogawa. These discoveries
served as inspiration for future brain mapping advancements. This
allowed researchers to develop more complex types of experiments, going
beyond observing the effects of single types of trials. When fMRI was
developed one of its major limitations was the inability to randomize
trials, but the event related fMRI fixed this problem.
[2] Cognitive subtraction was also an issue, which tried to correlate
cognitive-behavioral differences between tasks with brain activity by
pairing two tasks that are assumed to be matched perfectly for every
sensory, motor, and cognitive process except the one of interest.
[2]
Next, a push for the improvement of temporal resolution of fMRI studies
led to the development of event-related designs, which according to
Peterson, was inherited from ERP research in electrophysiology, but it
was discovered that this averaging did not apply very well to the
hemodynamic response because the response from trials could overlap. As a
result, random jittering of the events was applied, which meant that
the time repetition was varied and randomized for the trials in order to
ensure that the activation signals did not overlap.
Hemodynamic response
In
order to function, neurons require energy which is supplied by blood
flow. Although it is not completely understood, the hemodynamic response
has been correlated with neuronal activity, that is, as the activity
level increases, the amount of blood used by neurons increases. This
response takes several seconds to completely develop. Accordingly, fMRI
has limited
temporal resolution. The hemodynamic response is the basis for the BOLD (Blood Oxygen Level Dependent) contrast in fMRI.
[5]
The hemodynamic response occurs within seconds of the presented
stimuli, but it is essential to space out the events in order to ensure
that the response being measured is from the event that was presented
and not from a prior event. Presenting stimuli in a more rapid sequence
allows experimenters to run more trials and gather more data, but this
is limited by the slow course of hemodynamic response, which generally
must be allowed to return baseline before the presentation of another
stimulus. According to Burock “as the presentation rate increases in the
random event related design, the variance in the signal increases
thereby increasing the transient information and ability to estimate the
underlying hemodynamic response”.
[3]
Rapid event-related efMRI
In
a typical efMRI, after every trial the hemodynamic response is allowed
to return to baseline. In rapid event-related fMRI, trials are
randomized and the HRF is deconvolved afterwards. In order for this to
be possible, every possible combination of trial sequences must be used
and the inter-trial intervals jittered so that the time in between
trials is not always the same.
Advantages of efMRI
- Ability
to randomize and mix different types of events, which ensures that one
event isn’t influenced by others and not affected by the cognitive state
of an individual, doesn’t allow for predictability of events.
- Events can be organized into categories after the experiment based on the subjects behavior
- The occurrence of events can be defined by the subject
- Sometimes the blocked event design cannot be applied to an event.
- Treating stimuli, even when blocked, as separate events can potentially result in a more accurate model.
- Rare events can be measured.[1]
Chee argues that event related designs provide a number of advantages
in language-related tasks, including the ability to separate correct
and incorrect responses, and show task dependent variations in temporal
response profiles.
[6]
Disadvantages of efMRI
- More complex design and analysis.
- Need to increase the number of trials because the MR signal is small.
- Some events are better blocked.
- Timing issues: sampling (fix: random jitter, varying the timing of
the presentation of the stimuli, allows for a mean hemodynamic response
to be calculated at the end).
- Blocked designs have higher statistical power.[6]
- Easier to identify artifacts arising from non-physiologic signal fluctuations.,.[1][6]
Statistical analysis
In
fMRI data, it is assumed that there is a linear relationship between
neural stimulation and the BOLD response. The use of GLMs allows for
the development of a mean to represent the mean hemodynamic response
within the participants.
Statistical Parametric Mapping is used to produce a design matrix, which
includes all of the different response shapes produced during the
event. For more information on this, see Friston (1997).
[7]
Applications
- Visual Priming and Object Recognition
- Examining differences between parts of a task
- Changes over time
- Memory Research - Working Memory using cognitive subtraction
- Deception - Truth from Lies
- Face Perception
- Imitation Learning
- Inhibition
- Stimulus Specific Responses