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Functional geometry of auditory cortical resting state networks derived from intracranial electrophysiology

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  • Matthew I Banks
  • Bryan M Krause
  • D Graham Berger
  • Declan I Campbell
  • Aaron D Boes
  • Joel E Bruss
  • Christopher K Kovach
  • Hiroto Kawasaki
  • Mitchell Steinschneider
  • Kirill V Nourski

Abstract

Understanding central auditory processing critically depends on defining underlying auditory cortical networks and their relationship to the rest of the brain. We addressed these questions using resting state functional connectivity derived from human intracranial electroencephalography. Mapping recording sites into a low-dimensional space where proximity represents functional similarity revealed a hierarchical organization. At a fine scale, a group of auditory cortical regions excluded several higher-order auditory areas and segregated maximally from the prefrontal cortex. On mesoscale, the proximity of limbic structures to the auditory cortex suggested a limbic stream that parallels the classically described ventral and dorsal auditory processing streams. Identities of global hubs in anterior temporal and cingulate cortex depended on frequency band, consistent with diverse roles in semantic and cognitive processing. On a macroscale, observed hemispheric asymmetries were not specific for speech and language networks. This approach can be applied to multivariate brain data with respect to development, behavior, and disorders.This study describes the organization of human neocortex on multiple spatial scales, based on resting state intracranial electrophysiology. This provides evidence for hierarchical organization of auditory cortical regions and a limbic stream that parallels the classically described ventral and dorsal auditory processing streams.

Suggested Citation

  • Matthew I Banks & Bryan M Krause & D Graham Berger & Declan I Campbell & Aaron D Boes & Joel E Bruss & Christopher K Kovach & Hiroto Kawasaki & Mitchell Steinschneider & Kirill V Nourski, 2023. "Functional geometry of auditory cortical resting state networks derived from intracranial electrophysiology," PLOS Biology, Public Library of Science, vol. 21(8), pages 1-44, August.
  • Handle: RePEc:plo:pbio00:3002239
    DOI: 10.1371/journal.pbio.3002239
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