Identifying individuals using fNIRS-based cortical connectomes

Autor(es)

Rodrigues, Julia de Souza ^[1] ; Ribeiro, Fernanda Lenita ^{[1, 2]} ; Sato, Joao Ricardo ^[1] ; Mesquita, Rickson Coelho ^[3] ; Biazoli Junior, Claudinei Eduardo ^[1]

Afiliação do(s) autor(es)

^[1] Univ ABC, Ctr Math Computat & Cognit, BR-09606045 Sao Bernardo Do Campo, SP - Brazil

^[2] Univ Queensland, Sch Psychol, Brisbane, Qld 407 - Australia

^[3] Univ Estadual Campinas, Inst Phys, BR-13083970 Campinas, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: BIOMEDICAL OPTICS EXPRESS; v. 10, n. 6, p. 2889-2897, JUN 1 2019.
• Citações Web of Science: 0

Resumo

The fMRI-based functional connectome was shown to be sufficiently unique to allow individual identification (fingerprinting). We aimed to test whether a fNIRS-based connectome could also be used to identify individuals. Forty-four participants performed experimental protocols that consisted of two periods of resting-state interleaved by a cognitive task period. Connectome identification was performed for all possible pairwise combinations of the three periods. The influence of hemodynamic global variation was tested using global signal regression and principal component analysis. High identification accuracies well-above chance level (2.3%) were observed overall, being particularly high (93%) to the oxyhemoglobin signal between resting conditions. Our results suggest that fNIRS is a suitable technique to assess connectome fingerprints. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement (AU)

• Processo FAPESP: 18/21934-5 - Estatística de redes: teoria, métodos e aplicações
• Beneficiário: André Fujita
• Modalidade de apoio: Auxílio à Pesquisa - Temático