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Tracking mood fluctuations with functional network patterns.

Nykan Mirchi1, Richard F Betzel2, Boris C Bernhardt1

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Brain network activity patterns reliably track daily mood changes in individuals. Positive moods correlate with integrated brain network architecture, highlighting the subgenual anterior cingulate cortex

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Area of Science:

  • Neuroscience
  • Affective Neuroscience
  • Psychophysiology

Background:

  • Subjective mood is a complex psychophysiological property influenced by central and peripheral nervous system interactions.
  • The precise mechanisms by which brain network dynamics drive mood fluctuations remain largely unknown.

Purpose of the Study:

  • To investigate the relationship between functional brain network configuration and an individual's mood profiles over one year.
  • To map resting-state functional connectivity (FC) patterns to subjective mood scales.

Main Methods:

  • Utilized data from the 'MyConnectome Project' for a highly sampled, individual-focused analysis.
  • Employed resting-state functional connectivity (FC) assessments.
  • Applied partial least squares, an associative multivariate technique, to link FC patterns with mood scales.

Main Results:

  • Functional connectivity (FC) patterns demonstrated reliable tracking of daily mood fluctuations.
  • Positive mood states were associated with an integrated brain network architecture, featuring significant interactions between canonical resting-state networks.
  • The subgenual anterior cingulate cortex emerged as a key node in mood-related network reconfiguration, implicated in mood regulation.

Conclusions:

  • Functional brain network configurations dynamically track an individual's daily mood states.
  • Integrated network architectures are characteristic of positive moods, with specific brain regions like the subgenual anterior cingulate cortex playing a crucial role.
  • Highly sampled, individual-focused datasets are valuable for advancing affective neuroscience research.