Exploring the ability of stroke survivors in using the contralesional hemisphere to control a brain-computer interface.
Exploring the ability of stroke survivors in using the contralesional hemisphere to control a brain-computer interface.
复制标题
探索中风幸存者使用对侧半球控制脑机接口的能力。
DOI:
10.1038/s41598-022-20345-x
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发表时间:
2022-09-28
影响因子:
4.6
通讯作者:
Arvaneh, Mahnaz
中科院分区:
文献类型:
--
作者:
Mansour, Salem;Giles, Joshua;Ang, Kai Keng;Nair, Krishnan P. S.;Phua, Kok Soon;Arvaneh, Mahnaz
Brain-computer interfaces (BCIs) have recently been shown to be clinically effective as a novel method of stroke rehabilitation. In many BCI-based studies, the activation of the ipsilesional hemisphere was considered a key factor required for motor recovery after stroke. However, emerging evidence suggests that the contralesional hemisphere also plays a role in motor function rehabilitation. The objective of this study is to investigate the effectiveness of the BCI in detecting motor imagery of the affected hand from contralesional hemisphere. We analyzed a large EEG dataset from 136 stroke patients who performed motor imagery of their stroke-impaired hand. BCI features were extracted from channels covering either the ipsilesional, contralesional or bilateral hemisphere, and the offline BCI accuracy was computed using 10 10-fold cross-validations. Our results showed that most stroke patients can operate the BCI using either their contralesional or ipsilesional hemisphere. Those with the ipsilesional BCI accuracy of less than 60% had significantly higher motor impairments than those with the ipsilesional BCI accuracy above 80%. Interestingly, those with the ipsilesional BCI accuracy of less than 60% achieved a significantly higher contralesional BCI accuracy, whereas those with the ipsilesional BCI accuracy more than 80% had significantly poorer contralesional BCI accuracy. This study suggests that contralesional BCI may be a useful approach for those with a high motor impairment who cannot accurately generate signals from ipsilesional hemisphere to effectively operate BCI.
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影响因子:
2.7
作者:
Arun, K. M.;Smitha, K. A.;Kesavadas, Chandrasekharan
通讯作者:
Kesavadas, Chandrasekharan
DOI:
10.3389/fneng.2014.00030
发表时间:
2014
期刊:
Frontiers in neuroengineering
影响因子:
--
作者:
Ang KK;Guan C;Phua KS;Wang C;Zhou L;Tang KY;Ephraim Joseph GJ;Kuah CW;Chua KS
通讯作者:
Chua KS
DOI:
10.1016/j.apmr.2014.08.008
发表时间:
2015-03-01
影响因子:
4.3
作者:
Ang, Kai Keng;Guan, Cuntai;Chew, Effie
通讯作者:
Chew, Effie
影响因子:
4.6
作者:
Antelis, Javier M.;Montesano, Luis;Minguez, Javier
通讯作者:
Minguez, Javier
影响因子:
2
作者:
Ang, Kai Keng;Chua, Karen Sui Geok;Guan, Cuntai
通讯作者:
Guan, Cuntai