RT Conference Proceedings
T1 Sensorimotor rhythm modulation depends on resting-state oscillations and cortex integrity in severely paralyzed stroke patients
A1 López-Larraz, Eduardo
A1 Ray, Andreas M.
A1 Birbaumer, Niels
A1 Ramos-Murguialday, Ander
AB Alpha oscillatory activity and its dynamics have a key role in motor and sensory functions. Stroke affects different brain structures, which can result in pathological changes in alpha oscillations. We studied the relationship between the amplitude of alpha oscillations in resting state and their modulation during the attempt of movement in 37 patients with severe paralysis after stroke. As previously observed in healthy subjects, resting-state alpha activity significantly correlated with the alpha event-related desynchronization (ERD) during the attempt of movement of the paralyzed hand. Further, alpha ERD correlated with the presence or absence of damage in cortical structures, but resting-state alpha power did not. This result provides new insights on the understanding of the brain changes after stroke, which may help in future therapies to help the patients to recover their lost motor function.
PB IEEE Computer Society
SN 9781538679210
SN 1948-3546
YR 2019
FD 2019-05-16
LK https://hdl.handle.net/11556/1469
UL https://hdl.handle.net/11556/1469
LA eng
NO López-Larraz , E , Ray , A M , Birbaumer , N & Ramos-Murguialday , A 2019 , Sensorimotor rhythm modulation depends on resting-state oscillations and cortex integrity in severely paralyzed stroke patients . in 9th International IEEE EMBS Conference on Neural Engineering, NER 2019 . , 8717112 , International IEEE/EMBS Conference on Neural Engineering, NER , vol. 2019-March , IEEE Computer Society , pp. 37-40 , 9th International IEEE EMBS Conference on Neural Engineering, NER 2019 , San Francisco , United States , 20/03/19 . https://doi.org/10.1109/NER.2019.8717112
NO conference
NO Publisher Copyright: © 2019 IEEE.
NO The authors thank all the people involved in the data recording for their hard work. This study was funded by the Fortüne-Program of the University of Tübingen (2422-0-1 and 2452-0-0), the Bundesministerium für Bildung und Forschung, BMBF: MOTORBIC (FKZ 13GW0053) and AMORSA (FKZ 16SV7754), and Gipuzkoa Provincial Government Science Network (INKRA-TEK: OF 215/2016).
DS TECNALIA Publications
RD 26 jul 2024