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 language | English (US) |
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Article number | 7500104 |
Pages (from-to) | 1076-1086 |
Number of pages | 11 |
Journal | IEEE Signal Processing Letters |
Volume | 23 |
Issue number | 8 |
DOIs | |
State | Published - Aug 2016 |
Keywords
- Brain networks
- fMRI
- network connectivity
- neuroimaging
- schizophrenia
- time-frequency analysis
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering
- Applied Mathematics