A review on the ongoing quest for a pain signature in the human brain

被引：2

作者：

Qian Su ^{[1
]}

Yingchao Song ^{[2
]}

Rui Zhao ^{[3
]}

Meng Liang ^{[2
]}

机构：

[1] Department of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Ch

[2] School of Medical Imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University

[3] Department of Orthopedics Surgery, Tianjin Medical University General Hospital

来源：

BrainScienceAdvances | 2019年 / 5卷 / 04期

关键词：

pain signature; neuroimaging; machine learning; saliency; MVPA; specificity;

D O I：

暂无

中图分类号：

R402 []; TP391.41 [];

学科分类号：

1002 ; 100602 ; 080203 ;

摘要：

Developing an objective biomarker for pain assessment is crucial for understanding neural coding mechanisms of pain in the human brain as well as for effective treatment of pain disorders. Neuroimaging techniques have been proven to be powerful tools in the ongoing quest for a pain signature in the human brain.Although there is still a long way to go before achieving a truly successful pain signature based on neuroimaging techniques,important progresses have been made through great efforts in the last two decades by the Pain Society. Here, we focus on neural responses to transient painful stimuli in healthy people, and review the relevant studies on the identification of a neuroimaging signature for pain.

引用

页码：274 / 287

页数：14

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