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000137332 0247_ $$2doi$$a10.1523/JNEUROSCI.4342-13.2014
000137332 0247_ $$2pmid$$apmid:24672009
000137332 0247_ $$2pmc$$apmc:PMC6608122
000137332 0247_ $$2ISSN$$a0270-6474
000137332 0247_ $$2ISSN$$a1529-2401
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000137332 037__ $$aDZNE-2020-03654
000137332 041__ $$aEnglish
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000137332 1001_ $$0P:(DE-HGF)0$$aRitter, Christoph$$b0$$eCorresponding author
000137332 245__ $$aRepresentation of spatial information in key areas of the descending pain modulatory system.
000137332 260__ $$aWashington, DC$$bSoc.57413$$c2014
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000137332 520__ $$aBehavioral studies have demonstrated that descending pain modulation can be spatially specific, as is evident in placebo analgesia, which can be limited to the location at which pain relief is expected. This suggests that higher-order cortical structures of the descending pain modulatory system carry spatial information about the site of stimulation. Here, we used functional magnetic resonance imaging and multivariate pattern analysis in 15 healthy human volunteers to test whether spatial information of painful stimuli is represented in areas of the descending pain modulatory system. We show that the site of nociceptive stimulation (arm or leg) can be successfully decoded from local patterns of brain activity during the anticipation and receipt of painful stimulation in the rostral anterior cingulate cortex, the dorsolateral prefrontal cortices, and the contralateral parietal operculum. These results demonstrate that information regarding the site of nociceptive stimulation is represented in these brain regions. Attempts to predict arm and leg stimulation from the periaqueductal gray, control regions (e.g., white matter) or the control time interval in the intertrial phase did not allow for classifications above chance level. This finding represents an important conceptual advance in the understanding of endogenous pain control mechanisms by bridging the gap between previous behavioral and neuroimaging studies, suggesting a spatial specificity of endogenous pain control.
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000137332 650_2 $$2MeSH$$aAdult
000137332 650_2 $$2MeSH$$aArm: innervation
000137332 650_2 $$2MeSH$$aBrain: blood supply
000137332 650_2 $$2MeSH$$aBrain: physiopathology
000137332 650_2 $$2MeSH$$aBrain Mapping
000137332 650_2 $$2MeSH$$aCues
000137332 650_2 $$2MeSH$$aFemale
000137332 650_2 $$2MeSH$$aFunctional Laterality
000137332 650_2 $$2MeSH$$aHealthy Volunteers
000137332 650_2 $$2MeSH$$aHumans
000137332 650_2 $$2MeSH$$aLeg: innervation
000137332 650_2 $$2MeSH$$aMale
000137332 650_2 $$2MeSH$$aNeural Pathways: blood supply
000137332 650_2 $$2MeSH$$aNeural Pathways: physiopathology
000137332 650_2 $$2MeSH$$aNociception: physiology
000137332 650_2 $$2MeSH$$aPain: pathology
000137332 650_2 $$2MeSH$$aPain: physiopathology
000137332 650_2 $$2MeSH$$aPain Measurement
000137332 650_2 $$2MeSH$$aPain Threshold: physiology
000137332 650_2 $$2MeSH$$aTime Factors
000137332 650_2 $$2MeSH$$aYoung Adult
000137332 7001_ $$0P:(DE-HGF)0$$aHebart, Martin N$$b1
000137332 7001_ $$0P:(DE-2719)2810583$$aWolbers, Thomas$$b2$$udzne
000137332 7001_ $$0P:(DE-HGF)0$$aBingel, Ulrike$$b3
000137332 77318 $$2Crossref$$3journal-article$$a10.1523/jneurosci.4342-13.2014$$bSociety for Neuroscience$$d2014-03-26$$n13$$p4634-4639$$tThe Journal of Neuroscience$$v34$$x0270-6474$$y2014
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