Resting State Connectivity Patterns With Near-infrared Spectroscopy Data Of The Whole Head

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
Citation:	Biomedical Optics Express. OPTICAL SOC AMER, n. 7, n. 7, p. 2524 - 2537.
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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