000909365 001__ 909365
000909365 005__ 20230123110643.0
000909365 0247_ $$2doi$$a10.1002/brb3.2713
000909365 0247_ $$2Handle$$a2128/32063
000909365 0247_ $$2pmid$$a36000558
000909365 0247_ $$2WOS$$aWOS:000843693500001
000909365 037__ $$aFZJ-2022-03155
000909365 082__ $$a610
000909365 1001_ $$0P:(DE-HGF)0$$aBosulu, Juvenal$$b0$$eCorresponding author
000909365 245__ $$a“Wanting” versus “needing” related value: An fMRI meta‐analysis
000909365 260__ $$aMalden, Mass.$$bWiley$$c2022
000909365 3367_ $$2DRIVER$$aarticle
000909365 3367_ $$2DataCite$$aOutput Types/Journal article
000909365 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1666081571_30575
000909365 3367_ $$2BibTeX$$aARTICLE
000909365 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000909365 3367_ $$00$$2EndNote$$aJournal Article
000909365 520__ $$aConsumption 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.
000909365 536__ $$0G:(DE-HGF)POF4-5252$$a5252 - Brain Dysfunction and Plasticity (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000909365 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
000909365 7001_ $$0P:(DE-HGF)0$$aAllaire, Max-Antoine$$b1
000909365 7001_ $$0P:(DE-HGF)0$$aTremblay-Grénier, Laurence$$b2
000909365 7001_ $$0P:(DE-HGF)0$$aLuo, Yi$$b3
000909365 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon$$b4
000909365 7001_ $$0P:(DE-HGF)0$$aHétu, Sébastien$$b5
000909365 773__ $$0PERI:(DE-600)2623587-0$$a10.1002/brb3.2713$$n9$$pe32713$$tBrain and behavior$$v12$$x2162-3279$$y2022
000909365 8564_ $$uhttps://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$$yOpenAccess
000909365 909CO $$ooai:juser.fz-juelich.de:909365$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000909365 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a Université de Montréal, Montréal, Canada$$b0
000909365 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a Université de Montréal, Montréal, Canada$$b1
000909365 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a Université de Montréal, Montréal, Canada$$b2
000909365 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a East China Normal University, Shanghai, China$$b3
000909365 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131678$$aForschungszentrum Jülich$$b4$$kFZJ
000909365 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)131678$$a HHU Düsseldorf$$b4
000909365 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a Université de Montréal, Montréal, Canada$$b5
000909365 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5252$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
000909365 9141_ $$y2022
000909365 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2021-01-27
000909365 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2021-01-27
000909365 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000909365 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2021-01-27
000909365 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000909365 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2021-01-27
000909365 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bBRAIN BEHAV : 2021$$d2022-11-22
000909365 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2022-11-22
000909365 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2022-11-22
000909365 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2021-04-16T15:13:12Z
000909365 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2021-04-16T15:13:12Z
000909365 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Blind peer review$$d2021-04-16T15:13:12Z
000909365 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2022-11-22
000909365 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2022-11-22
000909365 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2022-11-22
000909365 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2022-11-22
000909365 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine$$d2022-11-22
000909365 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2022-11-22
000909365 920__ $$lyes
000909365 9201_ $$0I:(DE-Juel1)INM-7-20090406$$kINM-7$$lGehirn & Verhalten$$x0
000909365 980__ $$ajournal
000909365 980__ $$aVDB
000909365 980__ $$aUNRESTRICTED
000909365 980__ $$aI:(DE-Juel1)INM-7-20090406
000909365 9801_ $$aFullTexts