Patterns of neural activity predict picture-naming performance of a patient with chronic aphasia

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• 作者：Yune Sang Lee^a ; ^{lee.7966@osu.edu} ; Jihad T. Zreik^b ; Roy H. Hamilton^b ; ^{roy.hamilton@uphs.upenn.edu}
• 关键词：Aphasia ; Picture-naming ; fMRI ; MVPA ; Semantic ; Speech production ; Language ; Production
• 刊名：Neuropsychologia
• 出版年：2017
• 出版时间：8 January 2017
• 年：2017
• 卷：94
• 期：Complete
• 页码：52-60
• 全文大小：1072 K
• 卷排序：94

文摘

MVPA searchlights revealed regional patterns of neural activity associated with compensatory naming processing in aphasia, which was not detected by conventional univariate analyses. The largest and most robust cluster was found in right occipitotemporal cortex, which is mirrored by predominant semantic error rates. This is one of the first attempts of employing machine-learning techniques to predict behavioral naming performance using on-line fMRI data in aphasia studies.