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Human brain state dynamics reflect individual neuro-phenotypes.

Kangjoo Lee1, Jie Lisa Ji1, Clara Fonteneau1

  • 1Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.

Biorxiv : the Preprint Server for Biology
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Summary
This summary is machine-generated.

Individual brain activity (states) and traits show day-to-day changes. These neural variations link to behavior, revealing reproducible patterns for understanding individual differences and outcomes.

Keywords:
brain stateco-activation patternneuroimagingreproducibilitytrait

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Psychology

Background:

  • Individual differences in neural activity and behavior are recognized as states (within-individual) and traits (between-individual).
  • The relationship between these state-trait neural variations and behavioral phenotypes remains incompletely understood.
  • Resting-state functional magnetic resonance imaging (rs-fMRI) offers a window into intrinsic brain function.

Purpose of the Study:

  • To quantify moment-to-moment changes in brain-wide co-activation patterns using rs-fMRI.
  • To identify reproducible spatio-temporal features of these patterns at the individual level.
  • To investigate the link between state-trait neural variations and behavioral differences.

Main Methods:

  • Analysis of resting-state functional magnetic resonance imaging (rs-fMRI) data.
  • Quantification of brain-wide co-activation patterns and their dynamic changes.
  • Feature reduction techniques applied to identify key neural variations.
  • Correlation analysis between neural variations and behavioral phenotypes.

Main Results:

  • Reproducible spatio-temporal features of co-activation patterns were identified at the single-subject level.
  • A joint analysis revealed general motifs of individual differences, including state-specific and general neural features with daily variability.
  • Principal neural variations significantly co-varied with behavioral phenotypes related to cognitive function, emotion regulation, and substance use.
  • Individual-specific probabilities of occupying particular co-activation patterns were reproducible and associated with neural and behavioral features.

Conclusions:

  • The study successfully quantified dynamic, state-trait neural variations from rs-fMRI.
  • These neural variations are linked to individual differences in behavior, including cognition and emotion regulation.
  • The approach holds promise for developing reproducible neuroimaging markers for predicting individual functional outcomes.