TASK 6 - DESIGN & ANALYSIS Flashcards

1
Q

experimental design

A

= consists of manipulation the subject’s experience and behaviour that is likely to produce a BOLD response

  • data acquisition, results, interpretation all depend on thorough experimental design
  • what to manipulate: stimulus kind + properties, stimulus timing, subject instructions
  • goal is to test specific hypotheses
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2
Q

cognitive subtraction

A

= compare brain activity in task that uses a particular cognitive component (A+B) to brain activity in baseline task that doesn’t (A) –> infer which region is specialised for this particular component (B)

  • assumes pure insertion: addition of B does not change the character of A
  • (A+B)-A=B –> stimulus condition-control condition = change in conditions
  • statistical analysis of each voxel
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3
Q

cognitive subtraction

- application

A
  • useful especially in combination with blocked designs, allowing for simple modelling of BOLD response, resulting in robust + reproducible results
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4
Q

cognitive subtraction

- limitations

A
  • pure insertion: if violated, we would have an interaction effect that makes imaging data ambiguous at best
  • choice of baseline task: strong impact on data that is obtained
  • -> requires good cognitive theory about the elements that comprise the task
  • ideally: baseline should be as similar to the experimental task as possible
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5
Q

cognitive conjunction

A

= do multiple subtractions; use more than one control condition

  • identify a set of tasks that has a particular component in common (look for regions of activation that are shared across different subtractions (rather than relying on a single)
  • two different tasks that have one thing in common (what area is activated by both tasks, shows us our goal (face processing of apes vs. humans))
    1) (A+B+AB)-A=B+AB
    2) (C+B+CB)-A=B+CB
  • -> different than subtraction (one thing different, rest the same)
  • remedy for pure insertion (cognitive subtraction)
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6
Q

factorial design

A
  • can study main + interaction effects
  • main effects: e.g. effect of attentional load, irrelevant of motion –> (A+B)+(C+D)
  • interaction effects: e.g. is the difference between motion (vs. no motion) different under low attentional load (vs. high load)? –> (A-B)-(C-D)
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7
Q

cognitive conjunction + factorial design

- assumptions

A
  • doesn’t assume pure insertion: terms will be different for each pair of subtraction
  • -> technique is useful for studying cognitive interactions
  • linear relationship between BOLD response resulting from the conditions, otherwise some finding may be contaminated by non-predicted interactions
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8
Q

parametric design

A

= one feature of the stimulus (parameter) stimulus is varied in a continuous way

  • measure association between brain activity + changes in the variable of interest
  • allows to isolate rhythms of brain, level of activity
  • low level of stimulus can be control condition of higher levels –> similar conditions
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9
Q

parametric design

- problems

A
  • increasing a parameter over a certain limit can involve recruiting other cognitive processes that are not necessarily present at lower levels of performance of the neural system
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10
Q

functional specialisation

A

= implies that a region responds to a limited range of stimuli, distinguishing it from neighbouring regions

  • most studies focus on functional specialisation
  • -> not necessary to assume that the region is solely responsible for performance on a given task
  • -> not necessary to assume that other regions may not also respond to same stimuli
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11
Q

functional integration

A

= the way in which different brain regions communicate with each other

  • model how activity in different regions is interdependent
  • used to infer effective/functional connectivity between regions when performing a task
  • correlate different regions of brain activity with each other
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12
Q

resting state paradigm

A

= behaviourally driven fMRI = no task, just chill

  • fluctuations in brain activity are little more than noise
  • BUT, in brain regions that are functionally connected, the noise levels tend to correlate together
  • -> allows to identify sets of networks
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13
Q

stimulus timing

A

= determine presentation/timing of stimuli to get optimal design

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14
Q

stimulus timing

- block design

A

= repetition of relatively long blocks with stimuli that are homogenous within one block

    • stimuli that belong together in one condition are grouped together
  • blocks have duration that usually exceeds the length of the hemodynamic response (15-30s)
  • blocks invoke cognitive state; consist of multiple trials sampled from same condition in rapid succession
  • BOLD response to condition A = collective average of trial responses
  • -> cannot distinguish between differences within the block, because we aim to see the effect of whole block/condition
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15
Q

block design

- Trojano study

A
  • study whether mental imagery and perception make use of same brain areas
    a) mental clock test: requires mental imagery of two clocks and mental comparison (only auditory presentation of clocks)
    b) perception task: does not require mental imagery and comparison because clocks are visually presented
    c) syllable counting task: control task with same attentional load as mental clock test but not requiring mental imagery
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16
Q

Trojano study

- cognitive subtraction

A
  • subtractions: imagery vs. perception

- -> differential activation pattern during mental imagery and perception

17
Q

Trojano study

- experiment 1

A

=

18
Q

Trojano study

- experiment 2

A

=

19
Q

block design

- advantages

A
  • more power (= better able to detect a significant but small effect) because of high BOLD signal (because trials are averaged)
  • required for state-based processes (processes that require brain to take several trials to adapt)
  • suitable for subjects that perceive switch tasks as disruptive
  • relatively easy to analyse
20
Q

block design

- disadvantages

A
  • don’t get HR for single trials, no estimate of time course of HR
  • some events cannot be blocked because the task requires that they are unexpected and occur infrequently
  • may promote unintended subject strategies, anticipation and habituation
  • minimally compatible with behavioural methods (RT, SDT)
  • require pre-specification of comparisons and subtractions
21
Q

stimulus timing

- event-related design

A

= erfMRI = consists of trials that are usually sampled randomly from the set of experimental conditions or with random inter-trial spacing

  • stimuli that belong to different conditions are intermingled –> subsequently separated out for the purpose of analysis
  • trials may be spaced out in time to allow for resolution of hemodynamic response
22
Q

event-related design

- slow-ER

A

= present 1 stimulus, wait for HR to drop to baseline and then present next stimulus

  • BOLD responses are smaller than the blocked design
  • record single-trial responses: 1 BOLD for 1 stimulus –> you can directly compare stimuli
  • -> very slow, sometimes not representative of neural processing
23
Q

event-related design

- rapid-ER

A

= present stimulus in a sequence that doesn’t wait for the HR to drop

  • jittering: timing between stimuli is always different
  • -> important for analysis of rapid-ER
  • assumes linearity: response we receive, is the sum of the two individual stimuli
  • -> if the responses sum up linearly, we can deconvolute and separate the original responses
  • deconvolution: mathematical abbreviation to ‘unmix’ the several stimuli
24
Q

rapid-ER

- Wagner study

A
  1. rapid presentation of words
  2. postscan whether words were memorised (or forgotten)
    - -> post-hoc scans are important difference to blocked design
  3. compare responses to trials of remembered words and forgotten words
    - -> look at areas that were more active during either one of the conditions
25
Q

rapid-ER

- advantages (over short-ER)

A
  • enhances statistical power
  • reduces ability to estimate HRF properties of a single stimulus
  • reduces ability to estimate problem of linearity vs. non-linearity of BOLD interaction in overlapping HRFs
26
Q

event-related design

- oddball ER

A

= processes that can’t be blocked

27
Q

event-related design

- advantages

A
  • allow for random intermixing of trial types
  • can provide estimate of HR time-course
  • separations of HR from artefact events
  • multiple post-hoc experimental contrasts possible
  • study unusual events
  • design compatible with other methodologies (similar to ERP)
28
Q

event-related design

- disadvantages

A
  • have reduced statistical power
  • cannot be used for state-based processes
  • may be unsuitable for inflexible subjects
  • more difficult to analyse
29
Q

mixed design

A

= combination of block design and event-related design
+ can provide info about maintained vs. transient neural activity during paradigm performance
+ extract brain regions exhibiting an item-related pattern of information processing (transient) or a task-related information processing (sustained)
– involves more assumptions than the others