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Influence of Delays in Functional Connectivity to Distinguish Motor Imagery Tasks

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Autor(es):
Giarusso de Vazquez, Pedro Felipe ; Stefano Filho, Carlos Alberto ; Castellano, Gabriela
Número total de Autores: 3
Tipo de documento: Artigo Científico
Fonte: COMPUTATIONAL NEUROSCIENCE, LAWCN 2023; v. 2108, p. 10-pg., 2024-01-01.
Resumo

Motor imagery is a cognitive technique wherein individuals mentally rehearse bodily movements. Recognized for its alignment with various cognitive and motor functions, motor imagery has become pivotal in brain computer interface applications, especially for motor rehabilitation and neuroprosthetics. Using electroencephalography, a preferred modality for its portability and high temporal precision, our study sought to address the variability challenges in electroencephalography signals, often a bottleneck in brain computer interfaces efficacy. We delved into the role of delay occurrences in shaping the maximal functional connectivity within motor imagery electroencephalography tasks obtained with the motifs' synchronization method. Preliminary findings suggest that specific delay occurrences may play a crucial role in functional connectivity, holding implications for future brain computer interfaces applications and motor rehabilitation protocols. (AU)

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