Hauptseite > Publikationsdatenbank > Convergent neural representations of experimentally-induced acute pain in healthy volunteers: A large-scale fMRI meta-analysis > print

001     872946
005     20210130004331.0
024 7 _ |a 10.1016/j.neubiorev.2020.01.004
|2 doi
024 7 _ |a 0149-7634
|2 ISSN
024 7 _ |a 1873-7528
|2 ISSN
024 7 _ |a 2128/24750
|2 Handle
024 7 _ |a altmetric:74099945
|2 altmetric
024 7 _ |a pmid:31954149
|2 pmid
024 7 _ |a WOS:000531016100019
|2 WOS
037 _ _ |a FZJ-2020-00406
082 _ _ |a 610
100 1 _ |a Xu, Anna
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Convergent neural representations of experimentally-induced acute pain in healthy volunteers: A large-scale fMRI meta-analysis
260 _ _ |a Amsterdam [u.a.]
|c 2020
|b Elsevier Science
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1588231900_30092
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Characterizing a reliable, pain-related neural signature is critical for translational applications. Many prior fMRI studies have examined acute nociceptive pain-related brain activation in healthy participants. However, synthesizing these data to identify convergent patterns of activation can be challenging due to the heterogeneity of experimental designs and samples. To address this challenge, we conducted a comprehensive meta-analysis of fMRI studies of stimulus-induced pain in healthy participants. Following pre-registration, two independent reviewers evaluated 4,927 abstracts returned from a search of 8 databases, with 222 fMRI experiments meeting inclusion criteria. We analyzed these experiments using Activation Likelihood Estimation with rigorous type I error control (voxel height p < 0.001, cluster p < 0.05 FWE-corrected) and found a convergent, largely bilateral pattern of pain-related activation in the secondary somatosensory cortex, insula, midcingulate cortex, and thalamus. Notably, these regions were consistently recruited regardless of stimulation technique, location of induction, and participant sex. These findings suggest a highly-conserved core set of pain-related brain areas, encouraging applications as a biomarker for novel therapeutics targeting acute nociceptive pain.
536 _ _ |a 574 - Theory, modelling and simulation (POF3-574)
|0 G:(DE-HGF)POF3-574
|c POF3-574
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Larsen, Bart
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Baller, Erica B.
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Cobb Scott, J.
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Sharma, Vaishnavi
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Adebimpe, Azeez
|0 P:(DE-HGF)0
|b 5
700 1 _ |a Basbaum, Allan I.
|0 P:(DE-HGF)0
|b 6
700 1 _ |a Dworkin, Robert H.
|0 P:(DE-HGF)0
|b 7
700 1 _ |a Edwards, Robert R.
|0 P:(DE-HGF)0
|b 8
700 1 _ |a Woolf, Clifford J.
|0 P:(DE-HGF)0
|b 9
700 1 _ |a Eickhoff, Simon B.
|0 P:(DE-Juel1)131678
|b 10
700 1 _ |a Eickhoff, Claudia R.
|0 P:(DE-Juel1)174483
|b 11
700 1 _ |a Satterthwaite, Theodore D.
|0 P:(DE-HGF)0
|b 12
|e Corresponding author
773 _ _ |a 10.1016/j.neubiorev.2020.01.004
|g p. S0149763419308656
|0 PERI:(DE-600)1498433-7
|p 300-323
|t Neuroscience & biobehavioral reviews
|v 112
|y 2020
|x 0149-7634
856 4 _ |y Published on 2020-01-15. Available in OpenAccess from 2021-07-15.
|z StatID:(DE-HGF)0510
|u https://juser.fz-juelich.de/record/872946/files/Xu2020.pdf
856 4 _ |y Restricted
|u https://juser.fz-juelich.de/record/872946/files/Xu_etal_Neursci%20and%20Biobehav%20Rev_2020.pdf
856 4 _ |y Restricted
|x pdfa
|u https://juser.fz-juelich.de/record/872946/files/Xu_etal_Neursci%20and%20Biobehav%20Rev_2020.pdf?subformat=pdfa
909 C O |o oai:juser.fz-juelich.de:872946
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 10
|6 P:(DE-Juel1)131678
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 11
|6 P:(DE-Juel1)174483
913 1 _ |a DE-HGF
|b Key Technologies
|l Decoding the Human Brain
|1 G:(DE-HGF)POF3-570
|0 G:(DE-HGF)POF3-574
|2 G:(DE-HGF)POF3-500
|v Theory, modelling and simulation
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
914 1 _ |y 2020
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
915 _ _ |a Embargoed OpenAccess
|0 StatID:(DE-HGF)0530
|2 StatID
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b NEUROSCI BIOBEHAV R : 2017
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1120
|2 StatID
|b BIOSIS Reviews Reports And Meetings
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b NEUROSCI BIOBEHAV R : 2017
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)INM-7-20090406
|k INM-7
|l Gehirn & Verhalten
|x 0
920 1 _ |0 I:(DE-Juel1)INM-1-20090406
|k INM-1
|l Strukturelle und funktionelle Organisation des Gehirns
|x 1
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)INM-7-20090406
980 _ _ |a I:(DE-Juel1)INM-1-20090406
980 1 _ |a FullTexts

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21