Task 6 Flashcards
Cognitive subtraction
= a type of experimental design in functional imaging in which activity in a control task is subtracted from activity in an experimental task
=> by comparing the activity of the brain in a task that utilizes a particular cognitive component (e.g. the visual lexicon) to the activity of the brain in a baseline task that does not, it is possible to infer which regions are specialized for this particular cognitive component.
The method of cognitive conjunction requires that one is able to identify a set of tasks that has a particular component in common. One can then look for regions of activation that are shared. This reduces the problem of interaction because the interaction
terms will be different for each pair of subtractions.
Parametric designs
In a paramertic design, as opposed to a categorical design, the variable of interest is treated as a continuous dimension rather than a categorical distinction.
In intuitive terms, one is measuring associations between brain activity and changes in the variable of interest, rather than measuring differences in brain activity between two or more condition
We meaure associations between brain activity rather than differences
Baseline task is not necessary
Correlate brain activity with cognitive/bhevaioural measure
Example: Price at al. (1992) – listeining to different rates of spoken words (0 words/min – 90/min)
- Change in activity in various regions can be correlated with the rate of speech
- Activity increased with speech rate but then decreased again as it got faster (inverted U), suggesting that every regions has an optimal level at which it functions
Resting state paradigms
A technique for measuring functional connectivity in which correlations between several regions (networks) are assessed while the participant is not performing any tasks
brain regions that are functionally connected the noise levels, that are found in the resting state, tend to correlate together
helps to identify regions for which fluctuations in activity tend to be shared (i.e. default network)
Block design
Stimuli from a given condition are presented consecutively together
stimuli that belong together in one condition are grouped together
has more power in fMRI (can detect significant but small effects) then event related
useful of the response takes longer to occur
sometimes, we cannot know how events should be grouped, so we must perform an event-related design (i.e. tip-of-the-tongue phenomenon, spontaneous occurring hallucinations, oddball paradigm, go-no go task, …)
sometimes there is no way of knowing in advance how events shoulder be grouped therefore block design is impossible ( control words, normal words)
Event-related design
Stimuli from two or more conditions are presented randomly or interleaved
different stimuli or conditions are interspersed with each other and subsequently separated for the purpose of analysis
enable a wider range of experimental designs and are more closely related to the typical design structure of most cognitive psychology experiments (certain experiments can only be conducted this way i.e. tip-of-the-tongue phenomenon).
Why do functional imaging data sometimes disagree with lesion data?
There are 2 possible disagreements that can take place:
1) Imaging + & lesion – : Imaging data implies that A region is used and essential but lesion data does not. Possible reasons for the disagreement are:
- Activated region reflects a strategy used by the participant and is not essential
- Region reflects a general cognitive resource (attention, …) that is not specific to the task
- Region is being inhibited rather than excited
- Lesion studies were not powerful enough to detect the importance of the region
2) Imaging – & lesion + : imaging implies a region is not used but lesion suggests it is. Resons:
- Experimental and baseline depend on the region and comparison produces a null result
- Difficult to detect activity in the region (small, location is different in different subjects, …)
- Impaired performance after lesion reflects damage to tracts passing through the region rather than the synaptic activity in the gray matter of the region itself (activity is more spread and does not only depend on the region where the lesion is in)
Multi-voxel pattern analysis =
An fMRI analysis method in which distributed patterns of activity are linked to cognitive processes
With multi-voxel pattern analysis (multivariate analysis) we can examine the pattern of activation over a distributed set of voxels to enable a more fine grained approach. There is also another analysis (univariate) where we just look at the activation value of one voxel for itself and compare it to other voxels.
Substraction assumptions
Subtracting the experimental condition from the control/baseline condition. The BOLD signal difference then represents all regions involved in the performance of the task.
Assumptions:
- conditions can de added (pure insertion)
- there are no interactions among the components of the task
even though the assumptions are often violated, the results can still be useful, especially of used with a blocked design.
Factorial assumptions
This technique relies on neurophysiological evidence as well as complementary behavioural data for the precise definition of the tasks components and allows tests for interaction between each component.
The subject performs a task where cognitive components / dimensions are intermingles in one moment and separated in another.
Assumptions:
- Linearity (between BOLD responses resulting from the conditions – if not the findings might be skewed due to non-predicted interactions)
Parametric (amaro & Barker)
Includes increasing the cognitive demand associated with a particular task. An accompanying increase in BOLD response then implies an association between the region and the parameter. However, increasing a parameter over a certain limit can cause the involvement of other cognitive processes that are not crucial for the task itself but only for the increased attention etc. devoted to it.
Conjunction analysis
Subtle deviation from the factorial design in that 2 or more conditions share the cognitive component of interest. Thus, this approach wants to find commonalities instead of differences between regions.
Blocked
Based on maintaining cognitive engagement by presenting stimuli from one condition in between those of another condition (T – C – T - …)
AB block = the alternation of 2 conditions in which a “cycle” corresponds to 2 epochs of each condition
Epoch = moment
This has received criticism because of the assumptions etc. but still produces valuable results
Event-related
This technique implied event-related fMRI (erfMRI) in that it records activity that is locked to one specific event. We can vary the time between the events in order to keep the subjects attention and to shorten the duration of the experiment. This strategy is then called rapid erfMRI / jittered. Even though this strategy enhances the statistical power (because of the increased number of stimuli presented) the ability to estimate the HRF are reduced. The use a slow or rapid design depends on our study and what we want to find.
A minimum of 4 sec should be in between consecutive stimuli
The main advantage is the ability to detect variations in hemodynamic responses, allowing us to detect the HRF. It also allows for analysis related to individual responses (i.e. see the effects of judgement, emotional content, …).
Event-related fMRI is less sensitive to head movements.
mixed designs
This combines block- and event-related designs to compare maintained and transient neural activity. It allows for extracting brain regions exhibiting an item-related pattern of information processing (transient), or a task-related information processing (sustained).
In the blocks, we detect the responses given through an event-related design
There are however numerous assumptions and the researcher will face issues connected to poorer HRF shape estimation and post-hoc analysis.