Neuroanatomical correlates of brain-computer interface performance

被引:39
作者
Kasahara, Kazumi [1 ,2 ]
DaSalla, Charles Sayo [1 ,2 ]
Honda, Manabu [1 ,2 ]
Hanakawa, Takashi [1 ,2 ,3 ]
机构
[1] Natl Ctr Neurol & Psychiat, Natl Inst Neurosci, Dept Funct Brain Res, Tokyo 1878502, Japan
[2] Natl Ctr Neurol & Psychiat, Integrat Brain Imaging Ctr, Dept Adv Neuroimaging, Tokyo 1878551, Japan
[3] Japan Sci & Technol Agcy, PRESTO, Kawaguchi, Saitama 3320012, Japan
基金
日本科学技术振兴机构;
关键词
Brain-computer interface; BCI performance; Event-related desynchronization; Motor cortex; Motor imagery; Voxel-based morphometry; MOTOR IMAGERY; EEG; EXECUTION; AREAS; ALGORITHM; OPERATION; NETWORK; CORTEX; SIGNAL;
D O I
10.1016/j.neuroimage.2015.01.055
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Brain-computer interfaces (BCIs) offer a potential means to replace or restore lost motor function. However, BCI performance varies considerably between users, the reasons for which are poorly understood. Here we investigated the relationship between sensorimotor rhythm (SMR)-based BCI performance and brain structure. Participants were instructed to control a computer cursor using right-and left-hand motor imagery, which primarily modulated their left-and right-hemispheric SMR powers, respectively. Although most participants were able to control the BCI with success rates significantly above chance level even at the first encounter, they also showed substantial inter-individual variability in BCI success rate. Participants also underwent T1-weighted three-dimensional structural magnetic resonance imaging (MRI). The MRI data were subjected to voxel-based morphometry using BCI success rate as an independent variable. We found that BCI performance correlated with gray matter volume of the supplementary motor area, supplementary somatosensory area, and dorsal premotor cortex. We suggest that SMR-based BCI performance is associated with development of non-primary somatosensory and motor areas. Advancing our understanding of BCI performance in relation to its neuroanatomical correlates may lead to better customization of BCIs based on individual brain structure. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:95 / 100
页数:6
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