Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/320559
Type: Artigo de Periódico
Title: Resting State Connectivity Patterns With Near-infrared Spectroscopy Data Of The Whole Head
Author: Novi
SL; Rodrigues
RBML; Mesquita
RC
Abstract: Resting state cerebral dynamics has been a useful approach to explore the brain's functional organization. In this study, we employed graph theory to deeply investigate resting state functional connectivity (rsFC) as measured by near-infrared spectroscopy (NIRS). Our results suggest that network parameters are very similar across time and subjects. We also identified the most frequent connections between brain regions and the main hubs that participate in the spontaneous activity of brain hemodynamics. Similar to previous findings, we verified that symmetrically located brain areas are highly connected. Overall, our results introduce new insights in NIRS-based functional connectivity at rest. (C) 2016 Optical Society of America
Subject: Independent Component Analysis
Graph-theoretical Analysis
Cerebral-blood-flow
Functional Connectivity
Human Brain
Low-frequency
Small-world
Noninvasive Measurement
Indocyanine Green
Motion Artifact
Editor: OPTICAL SOC AMER
Rights: fechado
Identifier DOI: 10.1364/BOE.7.002524
Address: https://www.osapublishing.org/boe/abstract.cfm?uri=boe-7-7-2524
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

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