title: Analyzing the resting state functional connectivity in the human language system using near infrared spectroscopy.
abstract: We have evaluated the use of phase synchronization to identify resting state functional connectivity (RSFC) in the language system in infants using functional near infrared spectroscopy (fNIRS). We used joint probability distribution of phase between fNIRS channels with a seed channel in the language area to estimate phase relations and to identify the language system network. Our results indicate the feasibility of this method in identifying the language system. The connectivity maps are consistent with anatomical cortical connections and are also comparable to those obtained from functional magnetic resonance imaging (fMRI) functional connectivity studies. The results also indicate left hemisphere lateralization of the language network.
authors: Department of Electrical and Computer Engineering, University of British Columbia Vancouver BC, Canada.
authors: Behnam
authors: B
authors: Molavi
authors: Department of Psychology, University of British Columbia Vancouver, BC, Canada.
authors: Lillian
authors: L
authors: May
authors: Laboratoire Psychologie de la Perception, Université Paris Descartes, Sorbonne Paris Cité Paris, France ; Laboratoire Psychologie de la Perception, Centre national de la recherche scientifique Paris, France.
authors: Judit
authors: J
authors: Gervain
authors: Basque Center on Cognition Brain and Language San Sebastián, Spain ; IKERBASQUE, Basque Foundation for Science Bilbao, Spain.
authors: Manuel
authors: M
authors: Carreiras
authors: Department of Psychology, University of British Columbia Vancouver, BC, Canada.
authors: Janet F
authors: JF
authors: Werker
authors: Department of Electrical and Computer Engineering, University of British Columbia Vancouver BC, Canada.
authors: Guy A
authors: GA
authors: Dumont
keywords: BOLD signal; functional near-infrared spectroscopy; language network; phase synchronization; resting state functional connectivity