Use of fNIRS to assess resting state functional connectivity.

Abstract:

:Recently, resting state functional connectivity (RSFC) studies based on fMRI and EEG/MEG have provided valuable insight into the intrinsic functional architecture of the human brain. However, whether functional near infrared spectroscopy (fNIRS), a suitable imaging method for infant and patient populations, can be used to examine RSFC remains elusive. Using an ETG-4000 Optical Topography System, the present study measured 29 adult subjects (14 females) over the sensorimotor and auditory cortexes during a resting session and a motor-localizer task session. The RSFC maps were computed by seed-based correlation analysis and data-driven cluster analysis. The results from both analyses showed robust RSFC maps, which were not only consistent with the localizer task-related activation results, but also those of previous fMRI findings. Moreover, the strong consistency between the seed-based correlation analysis and the data-driven cluster analysis further validated the use of fNIRS to assess RSFC. The potential influence of a specific low-frequency filtering range (0.04-0.15 Hz and 0.01-0.08 Hz) and three fNIRS parameters (oxy-Hb, deoxy-Hb, and total-Hb) on RSFC results were also examined.

journal_name

J Neurosci Methods

authors

Lu CM,Zhang YJ,Biswal BB,Zang YF,Peng DL,Zhu CZ

doi

10.1016/j.jneumeth.2009.11.010

subject

Has Abstract

pub_date

2010-02-15 00:00:00

pages

242-9

issue

2

eissn

0165-0270

issn

1872-678X

pii

S0165-0270(09)00608-6

journal_volume

186

pub_type

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