Decoding the perception of endogenous pain from resting-state MEG

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• 作者：Po-Chih Kuo^a ; Yi-Ti Chen^a ; Yong-Sheng Chen^a ; ^b ; ^{yschen@cs.nctu.edu.tw} ; Li-Fen Chen^c ; ^d
• 关键词：Decoding ; Pain perception ; Endogenous pain ; Resting-state MEG
• 刊名：NeuroImage
• 出版年：2017
• 出版时间：1 January 2017
• 年：2017
• 卷：144
• 期：part_PA
• 页码：1-11
• 全文大小：1378 K
• 卷排序：144

文摘

A method for decoding pain perception from resting-state MEG is proposed. Intensity of endogenous pain can be predicted by temporal and spectral features. Pain-level prediction is accurate using cortical activity or sensor signals. Entropy-based indices calculated from MEG can be used to predict pain scores. Degree of right lateralization in brain complexity reveals the intensity of pain.