| Texto completo | |
| Autor(es): |
Novi, Sergio L.
;
Carvalho, Alex C.
;
Forti, R. M.
;
Cendes, Fernado
;
Yasuda, Clarissa L.
;
Mesquita, Rickson C.
Número total de Autores: 6
|
| Tipo de documento: | Artigo Científico |
| Fonte: | NEUROPHOTONICS; v. 10, n. 1, p. 16-pg., 2023-01-01. |
| Resumo | |
Significance: Brain fingerprinting refers to identifying participants based on their functional patterns. Despite its success with functional magnetic resonance imaging (fMRI), brain fingerprinting with functional near-infrared spectroscopy (fNIRS) still lacks adequate validation. Aim: We investigated how fNIRS-specific acquisition features (limited spatial information and nonneural contributions) influence resting-state functional connectivity (rsFC) patterns at the intra-subject level and, therefore, brain fingerprinting. Approach: We performed multiple simultaneous fNIRS and fMRI measurements in 29 healthy participants at rest. Data were preprocessed following the best practices, including the removal of motion artifacts and global physiology. The rsFC maps were extracted with the Pearson correlation coefficient. Brain fingerprinting was tested with pairwise metrics and a simple linear classifier. Results: Our results show that average classification accuracy with fNIRS ranges from 75% to 98%, depending on the number of runs and brain regions used for classification. Under the right conditions, brain fingerprinting with fNIRS is close to the 99.9% accuracy found with fMRI. Overall, the classification accuracy is more impacted by the number of runs and the spatial coverage than the choice of the classification algorithm. Conclusions: This work provides evidence that brain fingerprinting with fNIRS is robust and reliable for extracting unique individual features at the intra-subject level once relevant spatiotemporal constraints are correctly employed. (c) The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. (AU) | |
| Processo FAPESP: | 12/02500-8 - Desenvolvimento de instrumentação e metodologias para monitoramento de oxigenação, fluxo sanguíneo e metabolismo cerebral com espectroscopias ópticas de difusão |
| Beneficiário: | Rickson Coelho Mesquita |
| Modalidade de apoio: | Auxílio à Pesquisa - Jovens Pesquisadores |
| Processo FAPESP: | 13/07559-3 - Instituto Brasileiro de Neurociência e Neurotecnologia - BRAINN |
| Beneficiário: | Fernando Cendes |
| Modalidade de apoio: | Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs |
| Processo FAPESP: | 16/22990-0 - Investigação da neuroplasticidade no cérebro humano com espectroscopia no infravermelho próximo |
| Beneficiário: | Sergio Luiz Novi Junior |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado Direto |
| Processo FAPESP: | 19/21962-1 - Investigação da neuroplasticidade no cérebro humano com espectroscopia no infravermelho próximo |
| Beneficiário: | Sergio Luiz Novi Junior |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado Direto |
| Processo FAPESP: | 14/25486-6 - Construção e avaliação de um sistema de espectroscopia óptica de difusão no domínio da frequência para monitoramento cerebral na clínica médica |
| Beneficiário: | Rodrigo Menezes Forti |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |