FNIRS-based functional connectivity estimation using semi-metric analysis to study decision making by nursing students and registered nurses.

ABSTRACT: This study aims to investigate the generalizability of the semi-metric analysis of the functional connectivity (FC) for functional near-infrared spectroscopy (fNIRS) by applying it to detect the dichotomy in differential FC under affective and neutral emotional states in nursing students and registered nurses during decision making. The proposed method employs wavelet transform coherence to construct FC networks and explores semi-metric analysis to extract network redundancy features, which has not been considered in conventional fNIRS-based FC analyses. The trials of the proposed method were performed on 19 nursing students and 19 registered nurses via a decision-making task under different emotional states induced by affective and neutral emotional stimuli. The cognitive activities were

SUBMITTER: Chong JS 

PROVIDER: S-EPMC7745044 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature