On the (in)efficacy of motor imagery training without feedback and event-related desynchronizations considerations

Autor(es)

Stefano Filho, C. A. ^{[1, 2]} ; Costa, T. B. S. ^{[1, 3]} ; Uribe, L. F. ^{[1, 3]} ; Rodrigues, P. G. ^{[4, 1]} ; Soriano, D. C. ^{[4, 1]} ; Attux, R. ^{[1, 3]} ; Castellano, G. ^{[1, 2]}

Afiliação do(s) autor(es)

^[1] Brazilian Inst Neurosci & Neurotechnol BRAIN, Campinas, SP - Brazil

^[2] Univ Campinas UNICAMP, Neurophys Grp, Gleb Wataghin Phys Inst, Campinas, SP - Brazil

^[3] Univ Campinas UNICAMP, Lab Signal Proc Commun, Sch Elect & Computat Engn, Campinas, SP - Brazil

^[4] Fed Univ ABC UFABC, Engn Modeling & Appl Social Sci Ctr CECS, Santo Andre, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: BIOMEDICAL PHYSICS & ENGINEERING EXPRESS; v. 6, n. 3 MAY 2020.
• Citações Web of Science: 1

Resumo

Motor imagery (MI) constitutes a recurrent strategy for signals generation in brain-computer interfaces (BCIs) - systems that aim to control external devices by directly associating brain responses to distinct commands. Although great improvement has been achieved in MI-BCIs performance over recent years, they still suffer from inter- and intra-subject variability issues. As an attempt to cope with this, some studies have suggested that MI training should aid users to appropriately modulate their response for BCI usage: generally, this training is performed based on the sensorimotor rhythms' modulation over the primary sensorimotor cortex (PMC), with the signal being feedbacked to the user. Nonetheless, recent studies have revisited the actual involvement of the PMC into MI, and little to no attention has been devoted to understanding the participation of other cortical areas into training protocols. Therefore, in this work, our aim was to analyze the response induced by hands MI of 10 healthy subjects in the form of event-related desynchronizations (ERDs) and to assess whether features from beyond the PMC might be useful for hands MI classification. We investigated how this response occurs for distinct frequency intervals between 7-30 Hz, and ex0plored changes in their evocation pattern across 12 MI training sessions without feedback. Overall, we found that ERD patterns occur differently for the frequencies encompassed by the mu and beta bands, with its evocation being favored for the first band. Over time, the no-feedback approach was inefficient to aid in enhancing ERD evocation (EO). Moreover, to some extent, EO tends to decrease over blocks within a given run, and runs within an MI session, but remains stable within an MI block. We also found that the C3/C4 pair is not necessarily optimal for data classification, and both spectral and spatial subjects' specificities should be considered when designing training protocols. (AU)

• Processo FAPESP: 16/22116-9 - Investigação da técnica de treinamento por neurofeedback utilizando ressonância magnética
• Beneficiário: Carlos Alberto Stefano Filho
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 17/10341-0 - Investigação da técnica de treinamento por neurofeedback utilizando ressonância magnética
• Beneficiário: Carlos Alberto Stefano Filho
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 19/09512-0 - Análise não linear da conectividade funcional dinâmica via quantificação de recorrência e sua aplicação em interfaces cérebro-computador
• Beneficiário: Diogo Coutinho Soriano
• Modalidade de apoio: Bolsas no Exterior - Pesquisa
• 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