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Garren Gaut1, Brandon Turner2, Zhong-Lin Lu2,3

  • 11 Department of Cognitive Sciences, University of California Irvine, Irvine, California.

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|April 9, 2019
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Summary
This summary is machine-generated.

Functional connectivity (FC) and blood-oxygen-level-dependent variability (BV) predict subject and task identity. Both measures, especially subject differences, remain stable across years and decrease during cognitive tasks.

Keywords:
BOLD variabilityfMRIfunctional connectivitymachine learningsubject identity classificationtask classification

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Brain Imaging Analysis

Background:

  • Functional connectivity (FC) reliably predicts subject and task identity in brain imaging data.
  • Existing methods primarily rely on patterns of correlated activity between brain regions.

Purpose of the Study:

  • To replicate previous findings on functional connectivity for subject and task prediction using a large dataset.
  • To introduce and evaluate blood-oxygen-level-dependent variability (BV) as a novel measure for predicting subject and task identity.
  • To investigate the stability of FC and BV over time and their sensitivity to task demands.

Main Methods:

  • Utilized a large dataset from the Ohio State University Center for Cognitive and Behavioral Brain Imaging.
  • Calculated functional connectivity (FC) based on correlated time series between brain regions.
  • Computed blood-oxygen-level-dependent variability (BV) as the variance within individual brain regions.
  • Assessed the predictive power of FC and BV for subject and task identification across multiple scanning sessions, including those separated by years.

Main Results:

  • Both FC and BV accurately predicted subject identity and task type, even across scanning sessions years apart.
  • Subject-specific differences explained a larger proportion of variance in both FC and BV compared to task-specific differences.
  • Similar to FC, BV demonstrated reduced values during cognitive tasks compared to resting states.

Conclusions:

  • Blood-oxygen-level-dependent variability (BV) offers a simple, interpretable, and effective alternative or complement to functional connectivity for subject and task identification.
  • Individual differences in brain activity patterns, as captured by both FC and BV, are highly stable over extended periods.
  • Cognitive task engagement leads to decreased regional brain signal variability, irrespective of the specific task.