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Decoding an individual's sensitivity to pain from the multivariate analysis of EEG data

Abstract:

The perception of pain is characterized by its tremendous intra- and interindividual variability. Different individuals perceive the very same painful event largely differently. Here, we aimed to predict the individual pain sensitivity from brain activity. We repeatedly applied identical painful stimuli to healthy human subjects and recorded brain activity by using electroencephalography (EEG). We applied a multivariate pattern analysis to the time-frequency transformed single-trial EEG respo...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/cercor/bhr186

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
Studienstiftung des Deutschen Volkes More from this funder
Publisher:
Oxford University Press Publisher's website
Journal:
Cerebral Cortex Journal website
Volume:
22
Issue:
5
Pages:
1118-1123
Publication date:
2012-05-01
DOI:
EISSN:
1460-2199
ISSN:
1047-3211
Source identifiers:
507051
Language:
English
Keywords:
Pubs id:
pubs:507051
UUID:
uuid:41973e7c-9322-46be-8a27-10450963eec9
Local pid:
pubs:507051
Deposit date:
2015-02-16

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