Task-related MEG source localization via discriminant analysis.
Task-related MEG source localization via discriminant analysis.
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通过判别分析进行与任务相关的 MEG 源定位。
DOI：
10.1109/iembs.2011.6090657
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
Bagic,Anto
中科院分区：
文献类型：
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作者：
Zhang,Jinyin;Sudre,Gustavo;Li,Xin;Wang,Wei;Weber,DouglasJ;Bagic,Anto
为了研究与不同认知状态相对应的神经活动，定位与任务相关的皮层区域是非常重要的。本文提出了一种新的判别模式源定位（DPSL）方法来分析MEG数据。与大多数旨在寻找“主导”源的传统源定位方法不同，DPSL的发展是为了捕捉区分不同认知状态的“差异”源。正如本文的实验结果所证明的那样，所提出的DPSL方法在识别任务相关源的空间位置方面具有优越的精度。
To investigate the neural activity corresponding to different cognitive states, it is of great importance to localize the cortical areas that are associated with task-related modulation. In this paper, we propose a novel discriminant pattern source localization (DPSL) method to analyze MEG data. Unlike most traditional source localization methods that aim to find “dominant” sources, DPSL is developed to capture the “differential” sources that distinguish different cognitive states. As will be demonstrated by the experimental results in this paper, the proposed DPSL method offers superior accuracy to identify the spatial locations of task-related sources.