Neuroanatomical correlates of brain-computer interface performance
Neuroanatomical correlates of brain-computer interface performance
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DOI：
10.1016/j.neuroimage.2015.01.055
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发表时间：
2015-04-15
期刊：
影响因子：
5.7
通讯作者：
Hanakawa, Takashi
中科院分区：
文献类型：
--
作者：
Kasahara, Kazumi;DaSalla, Charles Sayo;Hanakawa, Takashi
脑机接口（BCI）提供了一种替代或恢复失去的运动功能的潜在手段。然而，BCI性能在用户之间差异很大，其原因尚不清楚。在这里，我们研究了感觉运动节律（SMR）为基础的BCI性能和大脑结构之间的关系。参与者被指示使用右手和左手运动想象来控制计算机光标，这主要分别调节他们的左半球和右半球SMR功率。虽然大多数参与者能够控制BCI的成功率显着高于机会水平，即使在第一次遇到，他们也表现出显着的个体间差异的BCI成功率。参与者还接受了T1加权三维结构磁共振成像（MRI）。MRI数据进行基于体素的形态测量，使用BCI成功率作为自变量。我们发现，脑机接口性能与辅助运动区，辅助体感区，背侧运动前皮质的灰质体积。我们认为，基于SMR的BCI性能与非主要体感和运动区的发展。推进我们对BCI性能与其神经解剖学相关性的理解，可能会导致基于个体大脑结构更好地定制BCI。(C)2015 Elsevier Inc. All rights reserved.
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.