PSYCH OpenIR  > 健康与遗传心理学研究室
Painful Issues in Pain Prediction
Hu, Li1,2,3,4; Iannetti, Gian Domenico2
2016-04-01
Source PublicationTRENDS IN NEUROSCIENCES
ISSN0166-2236
SubtypeReview
Volume39Issue:4Pages:212-220
AbstractHow 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
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(31471082) ; Royal Society ; European Research Council (ERC) ; Wellcome Trust
WOS Research AreaNeurosciences & Neurology
WOS SubjectNeurosciences
WOS IDWOS:000374196500003
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS KeywordMULTIVARIATE PATTERN-ANALYSIS ; PRIMARY SOMATOSENSORY CORTEX ; LASER-EVOKED POTENTIALS ; PHYSICAL PAIN ; FUNCTIONAL-SIGNIFICANCE ; NEUROIMAGING DATA ; MENTAL STATES ; MULTI-VOXEL ; HUMAN BRAIN ; FMRI DATA
Citation statistics
Cited Times:23[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/19969
Collection健康与遗传心理学研究室
Affiliation1.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
Recommended Citation
GB/T 7714
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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