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Data Quality Influences Observed Links Between Functional Connectivity and Behavior.

Joshua S Siegel1, Anish Mitra2, Timothy O Laumann1

  • 1Departments of Neurology, Washington University School of Medicine at Washington University, St. Louis, MO 63110, USA.

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|August 24, 2016
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Summary
This summary is machine-generated.

Head motion significantly impacts functional connectivity (FC) research. This study reveals motion artifacts can mimic genuine brain-behavior links, urging caution in interpreting FC:behavior relationships.

Keywords:
functional connectivity, head motion, IQ, movement, resting state

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Area of Science:

  • Neuroimaging
  • Cognitive Neuroscience
  • Behavioral Science

Background:

  • Resting-state functional magnetic resonance imaging (rs-fMRI) is used to study functional connectivity (FC).
  • Previous research indicates that head motion during rs-fMRI can introduce artifacts.
  • The extent to which head motion influences FC:behavior relationships is not fully understood.

Purpose of the Study:

  • To investigate the impact of head motion on the relationship between behavioral measures and functional connectivity.
  • To determine if head motion artifacts can create spurious correlations in FC:behavior studies.
  • To evaluate the effectiveness of data cleaning strategies in mitigating motion-related bias.

Main Methods:

  • Utilized data from the Human Connectome Project (HCP).
  • Analyzed correlations between 122 behavioral, demographic, and physiological measures and head motion.
  • Compared 'trait' (across-subject) and 'state' (within-subject) effects of motion on FC.
  • Applied data cleaning strategies to assess their influence on FC:behavior relationships.

Main Results:

  • A significant number of measures (23/122), including fluid intelligence and reading ability, correlated with head motion.
  • Trait and state effects of head motion on FC were found to be similar.
  • Data cleaning reduced head motion influence and altered previously reported FC:behavior associations.
  • Spurious relationships mediated by head motion appear widespread in FC:behavior research.

Conclusions:

  • Head motion is a significant source of systematic error (bias) in FC:behavior studies.
  • Observed FC:behavior correlations may be artifactual due to head motion.
  • Data cleaning methods are crucial for accurate interpretation of FC:behavior findings.
  • Researchers should carefully consider and address head motion in rs-fMRI studies.