001     909365
005     20230123110643.0
024 7 _ |a 10.1002/brb3.2713
|2 doi
024 7 _ |a 2128/32063
|2 Handle
024 7 _ |a 36000558
|2 pmid
024 7 _ |a WOS:000843693500001
|2 WOS
037 _ _ |a FZJ-2022-03155
082 _ _ |a 610
100 1 _ |a Bosulu, Juvenal
|0 P:(DE-HGF)0
|b 0
|e Corresponding author
245 _ _ |a “Wanting” versus “needing” related value: An fMRI meta‐analysis
260 _ _ |a Malden, Mass.
|c 2022
|b Wiley
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 1666081571_30575
|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 Consumption and its excesses are sometimes explained by imbalance of need or lack of control over "wanting." "Wanting" assigns value to cues that predict rewards, whereas "needing" assigns value to biologically significant stimuli that one is deprived of. Here we aimed at studying how the brain activation patterns related to value of "wanted" stimuli differs from that of "needed" stimuli using activation likelihood estimation neuroimaging meta-analysis approaches. We used the perception of a cue predicting a reward for "wanting" related value and the perception of food stimuli in a hungry state as a model for "needing" related value. We carried out separate, contrasts, and conjunction meta-analyses to identify differences and similarities between "wanting" and "needing" values. Our overall results for "wanting" related value show consistent activation of the ventral tegmental area, striatum, and pallidum, regions that both activate behavior and direct choice, while for "needing" related value, we found an overall consistent activation of the middle insula and to some extent the caudal-ventral putamen, regions that only direct choice. Our study suggests that wanting has more control on consumption and behavioral activation.Keywords: consumption; fMRI; motivation; needing; wanting.
536 _ _ |a 5252 - Brain Dysfunction and Plasticity (POF4-525)
|0 G:(DE-HGF)POF4-5252
|c POF4-525
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Allaire, Max-Antoine
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Tremblay-Grénier, Laurence
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Luo, Yi
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Eickhoff, Simon
|0 P:(DE-Juel1)131678
|b 4
700 1 _ |a Hétu, Sébastien
|0 P:(DE-HGF)0
|b 5
773 _ _ |a 10.1002/brb3.2713
|0 PERI:(DE-600)2623587-0
|n 9
|p e32713
|t Brain and behavior
|v 12
|y 2022
|x 2162-3279
856 4 _ |u https://juser.fz-juelich.de/record/909365/files/Brain%20and%20Behavior%20-%202022%20-%20Bosulu%20-%20Wanting%20versus%20needing%20related%20value%20An%20fMRI%20meta%E2%80%90analysis.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:909365
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Université de Montréal, Montréal, Canada
|0 I:(DE-HGF)0
|b 0
|6 P:(DE-HGF)0
910 1 _ |a Université de Montréal, Montréal, Canada
|0 I:(DE-HGF)0
|b 1
|6 P:(DE-HGF)0
910 1 _ |a Université de Montréal, Montréal, Canada
|0 I:(DE-HGF)0
|b 2
|6 P:(DE-HGF)0
910 1 _ |a East China Normal University, Shanghai, China
|0 I:(DE-HGF)0
|b 3
|6 P:(DE-HGF)0
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)131678
910 1 _ |a HHU Düsseldorf
|0 I:(DE-HGF)0
|b 4
|6 P:(DE-Juel1)131678
910 1 _ |a Université de Montréal, Montréal, Canada
|0 I:(DE-HGF)0
|b 5
|6 P:(DE-HGF)0
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-525
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Decoding Brain Organization and Dysfunction
|9 G:(DE-HGF)POF4-5252
|x 0
914 1 _ |y 2022
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-01-27
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2021-01-27
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2021-01-27
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2021-01-27
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b BRAIN BEHAV : 2021
|d 2022-11-22
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2022-11-22
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2022-11-22
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2021-04-16T15:13:12Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2021-04-16T15:13:12Z
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Blind peer review
|d 2021-04-16T15:13:12Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2022-11-22
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2022-11-22
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2022-11-22
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2022-11-22
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2022-11-22
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2022-11-22
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)INM-7-20090406
|k INM-7
|l Gehirn & Verhalten
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)INM-7-20090406
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21