Literature DB >> 27446687

Resting state connectivity patterns with near-infrared spectroscopy data of the whole head.

Sergio L Novi1, Renato B M L Rodrigues1, Rickson C Mesquita1.   

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 (rs-FC) 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.

Keywords:  (170.2655) Functional monitoring and imaging; (170.3880) Medical and biological imaging; (170.5380) Physiology

Year:  2016        PMID： 27446687      PMCID： PMC4948611          DOI： 10.1364/BOE.7.002524

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN： 2156-7085            Impact factor:   3.732


  66 in total

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