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Painful Issues in Pain Prediction
Hu, Li1,2,3,4; Iannetti, Gian Domenico2
2016-04-01
发表期刊TRENDS IN NEUROSCIENCES
ISSN0166-2236
文章类型Review
卷号39期号:4页码:212-220
摘要How perception of pain emerges from neural activity is largely unknown. Identifying a neural 'pain signature' and deriving a way to predict perceived pain from brain activity would have enormous basic and clinical implications. Researchers are increasingly turning to functional brain imaging, often applying machine-learning algorithms to infer that pain perception occurred. Yet, such sophisticated analyses are fraught with interpretive difficulties. Here, we highlight some common and troublesome problems in the literature, and suggest methods to ensure researchers draw accurate conclusions from their results. Since functional brain imaging is increasingly finding practical applications with real-world consequences, it is critical to interpret brain scans accurately, because decisions based on neural data will only be as good as the science behind them.
DOI10.1016/j.tins.2016.01.004
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(31471082) ; Royal Society ; European Research Council (ERC) ; Wellcome Trust
WOS研究方向Neurosciences & Neurology
WOS类目Neurosciences
WOS记录号WOS:000374196500003
WOS标题词Science & Technology ; Life Sciences & Biomedicine
关键词[WOS]MULTIVARIATE PATTERN-ANALYSIS ; PRIMARY SOMATOSENSORY CORTEX ; LASER-EVOKED POTENTIALS ; PHYSICAL PAIN ; FUNCTIONAL-SIGNIFICANCE ; NEUROIMAGING DATA ; MENTAL STATES ; MULTI-VOXEL ; HUMAN BRAIN ; FMRI DATA
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文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/19969
专题健康与遗传心理学研究室
作者单位1.Chinese Acad Sci, Inst Psychol, Beijing 100101, Peoples R China
2.UCL, Dept Neurosci Physiol & Pharmacol, London, England
3.Southwest Univ, Minist Educ, Key Lab Cognit & Personal, Chongqing, Peoples R China
4.Southwest Univ, Fac Psychol, Chongqing, Peoples R China
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Hu, Li,Iannetti, Gian Domenico. Painful Issues in Pain Prediction[J]. TRENDS IN NEUROSCIENCES,2016,39(4):212-220.
APA Hu, Li,&Iannetti, Gian Domenico.(2016).Painful Issues in Pain Prediction.TRENDS IN NEUROSCIENCES,39(4),212-220.
MLA Hu, Li,et al."Painful Issues in Pain Prediction".TRENDS IN NEUROSCIENCES 39.4(2016):212-220.
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