| Full text | |
| Author(s): |
Giarusso de Vazquez, Pedro Felipe
;
Stefano Filho, Carlos Alberto
;
Castellano, Gabriela
Total Authors: 3
|
| Document type: | Journal article |
| Source: | COMPUTATIONAL NEUROSCIENCE, LAWCN 2023; v. 2108, p. 10-pg., 2024-01-01. |
| Abstract | |
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) | |
| FAPESP's process: | 13/07559-3 - BRAINN - The Brazilian Institute of Neuroscience and Neurotechnology |
| Grantee: | Fernando Cendes |
| Support Opportunities: | Research Grants - Research, Innovation and Dissemination Centers - RIDC |