W4L2 - fMRI BOLD Flashcards

1
Q

Difference between oxygenated and deoxygenated blood?

What is neural activity accompanied by?

A

Oxygenated (Hb)

  • Diamagentic
  • Enhance Signal

Deoxygenated (dHb)

  • Paramagnetic: Distortions/artefacts
  • Decrease Signal

Neural Activity = Need glucose = Local oversupply in oxygenated blood = Better BOLD

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2
Q

Who discovered the science behind fMRI?

A

Seiji Ogawa

Large blood vessels (with lots of oxygen) cause brighter areas on scans (better signal)

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3
Q

BOLD fMRI technique make use of what fact?

A

All neurons need oxygen from blood

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4
Q

Is fMRI looking at action potentials

A

No. fMRI reflects signal differences due to different oxygen levels

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5
Q

What do we use to map areas of enhanced activity into the structural image of the brain

A

Statistical Parametric Mapping.

A General Linear Model is fitted to brain activity at each measurement point/voxel (50,000-100,000x)

(i.e. fit model to explain the data. how well does the model explain the data)

Significantly stronger activation in region X for task A compared to task B is interpreted as involvement of the region X in task A

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6
Q

What are blobs in fMRI

A

Activation “blobs” are statistical effects in experiment, often colour-coded for “activation” and “de-activation” (They are not activation per se)

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7
Q

In a typical fMRI experiment, how do we get BOLD?

A
  • While participants engage in a cognitive task
  • Repeated measurements to reduce noise
  • Differences in BOLD tell us whether a brain region ‘is engaged’ in a task
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8
Q

What is the time between neural activity and the peak of the BOLD response?

How long does the BOLD signal need to reach back baseline after activation?

A

Neural activity and peak

Substantial temporal lag of about 8 seconds

Neural activity and baseline

About 16 seconds

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9
Q

What does the BOLD actually tell us about neural activity.

What does enhanced neural activity depend on?

A

Indirect measure of neural activity

  • Enhanced neural activity impacts
    • (a) Blood oxygen volume
    • (b) Blood velocity
    • (c) Extraction of oxygen

Complex interplay suggest that neural activity = oversupply of oxygen

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10
Q

Can we compare BOLD signals across different regions of the brain?

A
  • Not valid to compare between different brain regions because the signal change is different
  • Measured response function of BOLD across regions will look similar
    • Hemodynamic Response Function (HRF)
    • Modelled after data is analysed
  • Only valid to compare within the same brain region between experimental conditions
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11
Q

What neural processes drive the BOLD signal. What does it tell us and not tell us

A

Logothetis (2008)

Feedback processing within excitation-inhibition networks (EIN)

EIN

  • Determines output (i.e. net excitation or inhibition) of the microunit.
  • Local cortical small and highly inter-connected function microunits, which show massive recurrent feedback
  • Does not tell us driving process
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12
Q

What are the 4 limitations of BOLD in Bio Psych.

A
  1. ) Blobs suggest brain is modular (Might not be true)
  2. ) Poor temporal resolution
  3. ) Good, but not great spatial resolution
  4. ) Multiple Comparisons Problem
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13
Q

Limitation BOLD #1

A

1.) Blobs does not suggest brain is modular

  • Might not be modular
    • We do not see connectivity and information flow of full network involved
  • fMRI may only show “Tip of the Iceberg” and might not always map functional units that matter
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14
Q

Limitation BOLD #2. How do we solve this

A

Poor Temporal Resolution

  • Slow HRF
    • 2 Seconds to measure brain once
    • Very fast processes (within the 2 seconds) are difficult to image
  • We need to use “tricks” in experimenetal design to separate “events of interest” if we don’t want to wait for HRF to reach baseline
    • Makes task artifical
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15
Q

Limitation BOLD #3

A

Good, but not great spatial resolution

  • Smallest measurement unit is a “voxel”
    • 3x3x3mm
    • Can’t learn processes within
      • but one voxel still contains >100k neurons
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16
Q

Limitation BOLD #4. What is the solution (?)

A

Multiple Comparisons Problem

  • Running a t-test for each voxel leads to too much false positives. At p < .01, 1% false positive x 50,000 (approx. voxels in the brain) adds up
  • Bonferroni-correction (divide sig level by no. of test)
    • Makes Sig findings difficult
17
Q

What is the spatial resolution of fMRI

A

1 - 3 mm

18
Q

What is the typical temporal resolution of fMRI

A

2 seconds