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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 |
Files in This Item:
File | Size | Format | |
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000379758400009.pdf | 2.01 MB | Adobe PDF | View/Open |
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