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

Ata Akin

doi:10.1117/1.JBO.22.12.126003

14 December 2017 Partial correlation-based functional connectivity analysis for functional near-infrared spectroscopy signals

Ata Akin

Author Affiliations +

Journal of Biomedical Optics, Vol. 22, Issue 12, 126003 (December 2017). https://doi.org/10.1117/1.JBO.22.12.126003

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; GEN=0.10±0.009, GEC=0.11±0.01, GEIC=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 ( GEIC−GEN) computed from [HbO] signals.

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Ata Akin "Partial correlation-based functional connectivity analysis for functional near-infrared spectroscopy signals," Journal of Biomedical Optics 22(12), 126003 (14 December 2017). https://doi.org/10.1117/1.JBO.22.12.126003

Received: 14 March 2017; Accepted: 20 November 2017; Published: 14 December 2017

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KEYWORDS

Linear filtering

Matrices

Sensors

Signal detection

Filtering (signal processing)

Electronic filtering

Hemodynamics

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