Spatiotemporal characterization of brain function via multiplex visibility graph

Li Zhu, Sasan Haghani, Laleh Najafizadeh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

fNIRS signals recorded at resting-state and during task are analyzed using multilayer visibility graph (MVG). Results show that MVG can provide new insights for studying spatiotemporal characteristics of brain function.

Original languageEnglish (US)
Title of host publicationClinical and Translational Biophotonics, TRANSLATIONAL 2018
PublisherOSA - The Optical Society
ISBN (Electronic)9781557528209
DOIs
StatePublished - Jan 1 2018
EventClinical and Translational Biophotonics, TRANSLATIONAL 2018 - Hollywood, United States
Duration: Apr 3 2018Apr 6 2018

Publication series

NameOptics InfoBase Conference Papers
VolumePart F91-TRANSLATIONAL 2018

Other

OtherClinical and Translational Biophotonics, TRANSLATIONAL 2018
Country/TerritoryUnited States
CityHollywood
Period4/3/184/6/18

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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