Cross-Frequency rs-fMRI Network Connectivity Patterns Manifest Differently for Schizophrenia Patients and Healthy Controls

Robyn L. Miller, Maziar Yaesoubi, Vince Daniel Calhoun

Research output: Contribution to journalArticle

Abstract

Patterns of resting state fMRI functional network connectivity in schizophrenia patients have been shown to differ markedly from those of healthy controls. While some studies have explored connectivity within fixed frequency bands, the question of network phase synchrony across disparate frequency bands, or cross-frequency connectivity , has remained surprisingly underexplored. Computational modeling at the neuronal scale however has long acknowledged the existence of coupled fast and slow subsystems. Here, we present preliminary evidence that cross-frequency coupling exists at the network level, that it patterns in meaningful ways over functional domains, and that this patterning differs between the healthy population and individuals with diagnosed schizophrenia.

Original languageEnglish (US)
Article number7500104
Pages (from-to)1076-1086
Number of pages11
JournalIEEE Signal Processing Letters
Volume23
Issue number8
DOIs
StatePublished - Aug 1 2016
Externally publishedYes

Keywords

  • Brain networks
  • fMRI
  • network connectivity
  • neuroimaging
  • schizophrenia
  • time-frequency analysis

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Applied Mathematics

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