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Changes in functional connectivity dynamics with aging: A dynamical phase synchronization approach.

Sou Nobukawa1, Mitsuru Kikuchi2, Tetsuya Takahashi3

  • 1Department of Computer Science, Chiba Institute of Technology, 2-17-1 Tsudanuma, Narashino, Chiba, 275-0016, Japan.

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|December 12, 2018
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Summary
This summary is machine-generated.

Brain network dynamics change over time. Analyzing instantaneous phase synchronization in resting-state EEG reveals enhanced complexity in older adults, suggesting aging-related network alterations.

Keywords:
AgingDynamical networkElectroencephalogramFunctional connectivityInstantaneous phase synchronizationMultiscale entropyPhase lag index

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Area of Science:

  • Neuroscience
  • Complex Systems
  • Aging Research

Background:

  • Human brain functional connectivity is dynamic, not static, even during rest.
  • Time-varying analysis of brain networks offers new insights into neural dynamics.

Purpose of the Study:

  • To investigate time-varying instantaneous phase synchronization in resting-state EEG.
  • To explore age-related differences in brain network dynamics.
  • To validate a novel approach for analyzing neural complexity.

Main Methods:

  • Recorded resting-state EEG from healthy younger and older adults.
  • Analyzed time-series of instantaneous phase synchronization.
  • Quantified temporal dynamics using multiscale entropy.
  • Employed surrogate analyses to confirm deterministic origins.

Main Results:

  • Temporal dynamics of phase synchronization stem from deterministic neural processes.
  • Older adults exhibited region-specific increases in phase synchronization complexity, particularly in frontal alpha bands.
  • This complexity enhancement was not detected by traditional methods like phase lag index.

Conclusions:

  • Enhanced complexity in temporal dynamics of functional connectivity may indicate network alterations in aging.
  • This study highlights the importance of capturing instantaneous phase synchronization dynamics.
  • The proposed method offers a novel perspective on dynamical neural processes in health and disease.