fMRI Flashcards

(33 cards)

1
Q

Hemodynamic signal

A

Indirect measure of neural activity
- complex relationship between neural activity and hemodynamics –> can it be trusted?
- deep understanding allows discriminating (in)valid ways of using it

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2
Q

Relation between hemodynamics and neural activity

A

Neurons require energy to function (ATP), from glucose
- continuous sypply via blood circulations:
–> via arteries, exchange glucose and oxygen in capillaries, deoxyhemoglobin and blood leaes again
Hemodynamic response function

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3
Q

Deoxyhemoglobin

A

Oxygen gets removed from hemoglobin

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4
Q

HRF in neural activity

A
  • delayed local increase in oxygen and glucose consumption
  • ratio oxygenated en deoxygenated heoglobin decreases
  • signal through neurovascular coupling mechanism, triggeren increase in blood supply
  • peak increase in blood oxygenation several seconds after
  • blood volume and oxygenation decay again
  • expand across larger territory than region of neural activity
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5
Q

Short step by step HRF

A

Rest –> stimulus –> inc neural activity –> inc oxygen and glucse consumption –> big inc cerebral blood flow –> fMRI BOLD response inc.

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6
Q

Three components HRF

A
  • intial dip: regular oxygen consumption
  • primairy response: bring lots of oxygen
  • negative overshoot: signal decreases
    –> additivity assumption
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7
Q

Additivity assumption

A

In case of multiple stimulu, total hemodynamic response is sum of HRF’s to individual stimuli

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8
Q

Hemodynamic repsonse and electrical potential changes

A

Measure action potentials = measure output of a neuron
- HR of a region: not sure whether it represents overall action potential output of that region
- situations possible where energy consumption increases, while neuron output stays the same
- difference in HR –> twwo conditions are different in neural activity, but action potential output does not need to be

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9
Q

HR vs. other electrophysiological measures

A
  • multi-unit activity MUA: number of action potentials
  • local field potentials LFP: synaptic input of neurons
    –> typical situation: everything correlates
    –> with long stimulation: HR slightly more correlated with LFP than with MUA
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10
Q

T2 and T2*

A

Mainfactors contributing to decay of transverse magnetization
Molecular interactions (=> T2 decay):
- field inhomogeneity
- tissue succeptibility
Total dephasing = T2* decay (always faster, because there are more factors to the decaying)

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11
Q

BOLD

A

Blood oxygenation level dependent signal
- blood carriers hemoglobin
- hemoglobin contains iron atoms
- iron atoms can distort the magnetic field
- the iron has slightly different magnetic properties depending on whether it is bound or unbound to oxygen

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12
Q

BOLD signal

A

Inhomogneities are modulated by variable ratio of deoxygenated/oxygenated blood
- level of inhomogeneity of magnetic field affects speed of dephasing
- more DeoxyHb, strong field inhomogeneities (fast dephasing)
- more OxyHb, weak field inhomogeneities (slow dephasing)

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13
Q

Is fMRI worth it

A

It is very expensive and will take a long time
- formulate relevant hypotheses
- design study to provide evidence for or against some hypothesis
- expensive machines do not think of you
–> need to know the methods and the psychological theories of mental functioning

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14
Q

Subtraction

A

Isolate behavior by substracting conditions that only differ in 1 mental process
- realted to behavioral method of Donders: mental chronometry

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15
Q

problems substraction

A

What if other mental states are included?
Underlying assumption: pure insertion or additivity assumption
- conflict monitoring
- priming

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16
Q

Pure assumption

A

Two (or more) oncditions can be congnitevely added, implying no interactions among the cognitive components of a task
- In most cases, this assumption is invalid
- if assumption fails => compasrison between conditions is confounded

17
Q

Conflict monitoring

A

SLower in incongruent trials and activaiton increase in incongruent trials

18
Q

Priming

A

Faster in congruent trials and activation decrease in congruent trials

19
Q

Factorial design for pure assumption

A

Additivity assumption violations visible through interaction effects in factorial design
Principle: task where cognitive components are intermingles in one moment and separated in another instance of the paradigm => allows testing for interactions

20
Q

Parametric variation

A

Principle: increase cogntive demand without modifying intrinsic nature of task
- BOLD increase implies heavy association of area with nature of manipulated parameter

21
Q

Conjuntion analyses

A

Cognitive conjuntion studies are designed such that two or more distinct task pairs each share a common processing difference
- task
- stimuli
- senses
Disjunction analyses

22
Q

Results conjunction analyses

A

Conjunction: both production and perception
Disjunction: production, no perception
Disjunction: perception, no production

23
Q

Recap contrasting ecperimental conditions

A
  • substraction: effect = A - B
  • Factorial: addition and interaction
  • parametric
  • conjunciton
24
Q

Correlational studies

A

Between subjects design –> relate individual differences in behavior to brain differences

25
Forward inference
If cognitive process X is manipulated, particular brain region R is activated => activation of brain region R is related to cognitive process X
26
Reverse inference
Engagement of particulalr cogntive process is inferred by activation of particular brain area - based on literature
27
Overlapping HRFs
HRF peak delayed with 6 sec, total duration more than 12s from onset to back to baseline - if you show multiple simuli within those 12 s they will overlap 3 options: 1: ISI of 16 sec -> inefficient 2: ISI of 2 sec -> signal reaches asymptomic level (low sensitivity for differences) 3: Block design: trials are blocked per condition
28
Block design
- alternate blovks of different conditions - within vlock: strong HRF because additivity signal - after a block: signal goes down again before next block - condition-associated ups and downs in BOLD signal are late - very efficient
29
Drawbacks to block design
- predictabilty of conditions (tendency to prepare) - Impossible for some experimental questions - impossible to estimate single-trial response function
30
Slow event-related design
Long ISI (with or without jitter) - ideal for estimating HRF function by the event related response - inefficient use of time and borign
31
Rapid counterbalanced event-related design
- ISIS = 0 or not longer than the trial duration - conditions alternate in pseudo-random order <-> alternating event-related design - peak is signal difference between conditions when particular condition occurs frequently in short period of time - reasonable sensitivity and power - rest - trial order similar to that of most behavioral experiments
32
Rest condition
Studies often include a rest condition as a baseline - makes comparison between different studies easier - helps to disambiguate more activation from less deactivation
33
Default mode network
Very predictable set of deactivations in the contrast of an active task minus a passive no-stmulus baseline: - number of subtraction task - one-back repetition detection of object images - one-back repetition detection of texture patterns --> thus, these regions are active when you are at rest