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Journal of Biomedical Optics • new

Partial correlation-based functional connectivity analysis for functional near-infrared spectroscopy signals
Author(s): Ata Akin
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Paper Abstract

A theoretical framework, a partial correlation-based functional connectivity (PC-FC) analysis to functional near-infrared spectroscopy (fNIRS) data, is proposed. This is based on generating a common background signal from a high passed version of fNIRS data averaged over all channels as the regressor in computing the PC between pairs of channels. This approach has been employed to real data collected during a Stroop task. The results show a strong significance in the global efficiency (GE) metric computed by the PC-FC analysis for neutral, congruent, and incongruent stimuli (NS, CS, IcS; GE N = 0.10 ± 0.009 , GE C = 0.11 ± 0.01 , GE IC = 0.13 ± 0.015 , p = 0.0073 ). A positive correlation ( r = 0.729 and p = 0.0259 ) is observed between the interference of reaction times (incongruent–neutral) and interference of GE values ( GE IC GE N ) computed from [HbO] signals.

Paper Details

Date Published: 14 December 2017
PDF: 10 pages
J. Biomed. Opt. 22(12) 126003 doi: 10.1117/1.JBO.22.12.126003
Published in: Journal of Biomedical Optics Volume 22, Issue 12
Show Author Affiliations
Ata Akin, Acibadem Üniv. (Turkey)


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