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Linking the multiple-demand cognitive control system to human electrophysiological activity.

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Aperiodic neural activity, not just theta oscillations, shows promise for tracking cognitive demand in the frontoparietal multiple-demand (MD) network. This broadband power may reflect neural properties supporting domain-general cognitive control.

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Area of Science:

  • Cognitive Neuroscience
  • Computational Neuroscience
  • Electrophysiology

Background:

  • The frontoparietal multiple-demand (MD) network is crucial for cognitive control across tasks.
  • Linking fMRI findings of MD network activation to electrophysiological measures is challenging.

Purpose of the Study:

  • To explore oscillatory and aperiodic neural activity as electrophysiological markers for the MD network.
  • To propose a framework connecting MD network function to neural activity.

Main Methods:

  • Review of existing meta-analyses on task demand markers.
  • Discussion of the properties of oscillatory (delta, theta) and aperiodic neural activity.
  • Hypothetical framework development.

Main Results:

  • Mid-frontal theta power, while linked to task demand, has limitations in spatial specificity and generalizability.
  • Aperiodic broadband power demonstrates robust decoding and cross-task generalizability for task demand.
  • Aperiodic activity spatially overlaps with MD regions and may reflect spiking rates and E/I balance.

Conclusions:

  • Aperiodic broadband power is a strong candidate for indexing task demand within MD regions.
  • Multiplexed low-frequency oscillations may support inter-regional synchronization within the MD network.
  • A framework is proposed where aperiodic activity supports regional activation and oscillations mediate connectivity.