RT Conference Proceedings
T1 Stroke lesion location influences the decoding of movement intention from EEG
A1 Lopez-Larraz, Eduardo
A1 Ray, Andreas M.
A1 Figueiredo, Thiago C.
A1 Bibian, Carlos
A1 Birbaumer, Niels
A1 Ramos-Murguialday, Ander
AB Recent studies have demonstrated the efficacy of brain-machine interfaces (BMI) for motor rehabilitation after stroke, especially for those patients with severe paralysis. However, a cerebro-vascular accident can affect the brain in many different manners, and lesions in diverse areas, even from significantly different volumes, can lead to similar or equal motor deficits. The location of the insult influences the way the brain activates when moving or attempting to move a paralyzed limb. Since the essence of a rehabilitative BMI is to precisely decode motor commands from the brain, it is crucial to characterize how lesion location affects the measured signals and if and how it influences BMI performance. This paper compares the performances of an electroencephalography (EEG)-based movement intention decoder in two groups of severely paralyzed chronic stroke patients: 14 with subcortical lesions and 14 with mixed (i.e., cortical and subcortical) lesions. We show that the lesion location influences the performance of the BMI when decoding the movement attempts of the paretic arm. The obtained results underline the need for further developments for a better individualization of BMI-based rehabilitative therapies for stroke patients.
PB Institute of Electrical and Electronics Engineers Inc.
SN 9781509028092
SN 1557-170X
YR 2017
FD 2017-09-13
LK https://hdl.handle.net/11556/2264
UL https://hdl.handle.net/11556/2264
LA eng
NO Lopez-Larraz , E , Ray , A M , Figueiredo , T C , Bibian , C , Birbaumer , N & Ramos-Murguialday , A 2017 , Stroke lesion location influences the decoding of movement intention from EEG . in 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society : Smarter Technology for a Healthier World, EMBC 2017 - Proceedings . , 8037504 , Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS , Institute of Electrical and Electronics Engineers Inc. , pp. 3065-3068 , 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 , Jeju Island , Korea, Republic of , 11/07/17 . https://doi.org/10.1109/EMBC.2017.8037504
NO conference
NO Publisher Copyright: © 2017 IEEE.
NO This study was funded by the Baden-Württemberg Stiftung (GRUENS ROB-1), the Deutsche Forschungsgemeinschaft (DFG, Koselleck), the Fortüne-Program of the University of Tübingen (2422-0-0), and the Bundesministerium für Bil-dung und Forschung BMBF MOTORBIC (FKZ 13GW0053) and AMORSA (FKZ 16SV7754).
DS TECNALIA Publications
RD 26 jul 2024