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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Cognitive Science

Background:

  • Oscillatory neural activity dynamically coordinates cognitive functions.
  • Electroencephalography (EEG) spectral power exhibits U-shaped deviations from stochastic dynamics, indicating control.
  • Understanding the mechanisms generating low- and high-power states is crucial.

Purpose of the Study:

  • To investigate the mechanisms underlying the control of oscillatory neural activity.
  • To model the synchronization dynamics of oscillatory activity using human EEG data.
  • To determine how large-scale spatial synchronization is controlled.

Main Methods:

  • Fitting a mathematical model of oscillatory activity synchronization to human EEG data.
  • Analyzing EEG data from 52 participants across different resting and viewing conditions.
  • Examining synchronization probability adjustments and entropy maintenance.

Main Results:

  • The majority (~95%) of synchronization dynamics is governed by slow adjustments in synchronization probability, maintaining maximum entropy over seconds.
  • This entropy-maximizing strategy is universal across oscillation frequencies, EEG sources, and participant conditions.
  • Deviations from the maximum-entropy rule showed a spatial pattern, potentially implicating the mid-central-posterior region.

Conclusions:

  • Large-scale spatial synchronization of neural oscillations is primarily controlled by slow, entropy-maximizing adjustments of synchronization probability.
  • This slow control mechanism likely works in concert with rapid phase adjustments for precise neural coordination.
  • The mid-central-posterior region may act as an 'entropy dump' to facilitate precise temporal control of spectral power dynamics.