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Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
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Modules in connectomes of phase-synchronization comprise anatomically contiguous, functionally related regions.

N Williams1, S H Wang2, G Arnulfo3

  • 1Department of Neuroscience & Biomedical Engineering, Aalto University, Espoo, Finland; BioMag laboratory, HUS Medical Imaging Centre, Helsinki, Finland.

Neuroimage
|March 26, 2023
PubMed
Summary
This summary is machine-generated.

This study used stereo-EEG (SEEG) to identify stable brain modules in phase-synchronization connectomes. These modules represent specialized functional brain systems, distinct from those found using fMRI.

Keywords:
Brain network modulesFunctional connectomeFunctional systemsPhase-synchronizationResting-stateStereo-electroencephalography (SEEG)

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Area of Science:

  • Neuroscience
  • Brain Connectomics
  • Systems Neuroscience

Background:

  • Brain functional connectomes balance neuronal activity segregation and integration.
  • Non-invasive methods like EEG/MEG have limitations in identifying modules due to signal spread.

Purpose of the Study:

  • To identify modules in brain functional connectomes using high-resolution invasive SEEG recordings.
  • To overcome limitations of non-invasive techniques in mapping phase-synchronization networks.

Main Methods:

  • Utilized stereo-EEG (SEEG) data from 67 patients with submillimeter contact localization.
  • Referenced gray matter contacts to adjacent white matter to minimize volume conduction effects.
  • Applied community detection and consensus clustering to analyze phase-synchronization connectomes across frequencies (3-320 Hz).

Main Results:

  • Identified distinct and stable modules in phase-synchronization connectomes at multiple scales and frequencies.
  • Modules up to the high-gamma band consisted of anatomically contiguous regions, unlike fMRI-identified systems.
  • Modules comprised cortical regions involved in sensorimotor and cognitive functions (memory, language, attention).

Conclusions:

  • SEEG reveals functionally specialized brain systems organized into modules based on phase-synchronization.
  • These modules partially overlap with fMRI-identified systems, suggesting distinct organizational principles.
  • Identified modules may play a key role in regulating functional segregation and integration via phase-synchronization.