Partial correlation-based functional connectivity analysis for functional near-infrared spectroscopy signals

被引：12
作者：
Akin, Ata [1 ]
机构：
[1] Acibadem Univ, Dept Med Engn, Istanbul, Turkey
来源：
JOURNAL OF BIOMEDICAL OPTICS | 2017年 / 22卷 / 12期
关键词：
functional near; infrared spectroscopy; partial correlation; functional connectivity; global efficiency; Stroop task; DOWN ATTENTIONAL CONTROL; FMRI DATA; STROOP TASK; COGNITIVE NEUROSCIENCE; BRAIN ACTIVATION; CINGULATE CORTEX; SOCIAL-BEHAVIOR; MULTI-DISTANCE; NEURAL BASIS; WHOLE-HEAD;
D O I：
10.1117/1.JBO.22.12.126003
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
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. (C) 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
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页数：10
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