001     1023791
005     20250204113811.0
024 7 _ |a 10.1016/j.neubiorev.2024.105607
|2 doi
024 7 _ |a 0149-7634
|2 ISSN
024 7 _ |a 1873-7528
|2 ISSN
024 7 _ |a 38428473
|2 pmid
024 7 _ |a WOS:001218412000001
|2 WOS
037 _ _ |a FZJ-2024-01804
082 _ _ |a 610
100 1 _ |a Wang, Mengmeng
|0 P:(DE-HGF)0
|b 0
245 _ _ |a The common and distinct brain basis associated with adult and adolescent risk-taking behavior: Evidence from the neuroimaging meta-analysis
260 _ _ |a Amsterdam [u.a.]
|c 2024
|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 1714726120_29383
|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 Risk-taking is a common, complex, and multidimensional behavior construct that has significant implications for human health and well-being. Previous research has identified the neural mechanisms underlying risk-taking behavior in both adolescents and adults, yet the differences between adolescents' and adults' risk-taking in the brain remain elusive. This study firstly employs a comprehensive meta-analysis approach that includes 73 adult and 20 adolescent whole-brain experiments, incorporating observations from 1986 adults and 789 adolescents obtained from online databases, including Web of Science, PubMed, ScienceDirect, Google Scholar, EBSCO PsycINFO, Scopus, Medline and PsycARTICLES. It then combines functional decoding methods to identify common and distinct brain regions and corresponding psychological processes associated with risk-taking behavior in these two cohorts. The results indicated that the neural bases underlying risk-taking behavior in both age groups are situated within the cognitive control, reward, and sensory networks. Subsequent contrast analysis revealed that adolescents and adults risk-taking engaged frontal pole within the fronto-parietal control network (FPN), but the former recruited more ventrolateral area and the latter recruited more dorsolateral area. Moreover, adolescents' risk-taking evoked brain area activity within the ventral attention network (VAN) and the default mode network (DMN) compared with adults, consistent with the functional decoding analyses. These findings provide new insights into the similarities and disparities of risk-taking neural substrates underlying different age cohorts, supporting future neuroimaging research on the dynamic changes of risk-taking.
536 _ _ |a 5251 - Multilevel Brain Organization and Variability (POF4-525)
|0 G:(DE-HGF)POF4-5251
|c POF4-525
|f POF IV
|x 0
536 _ _ |a 5253 - Neuroimaging (POF4-525)
|0 G:(DE-HGF)POF4-5253
|c POF4-525
|f POF IV
|x 1
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Deng, Yao
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Liu, Yingying
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Suo, Tao
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Guo, Bowen
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Eickhoff, Simon B.
|0 P:(DE-Juel1)131678
|b 5
700 1 _ |a Xu, Jing
|0 P:(DE-HGF)0
|b 6
700 1 _ |a Rao, Hengyi
|0 P:(DE-HGF)0
|b 7
|e Corresponding author
773 _ _ |a 10.1016/j.neubiorev.2024.105607
|g p. 105607 -
|0 PERI:(DE-600)1498433-7
|p 105607 -
|t Neuroscience & biobehavioral reviews
|v 160
|y 2024
|x 0149-7634
856 4 _ |u https://juser.fz-juelich.de/record/1023791/files/1-s2.0-S0149763424000769-main-1.pdf
856 4 _ |u https://juser.fz-juelich.de/record/1023791/files/1-s2.0-S0149763424000769-main-1.gif?subformat=icon
|x icon
856 4 _ |u https://juser.fz-juelich.de/record/1023791/files/1-s2.0-S0149763424000769-main-1.jpg?subformat=icon-1440
|x icon-1440
856 4 _ |u https://juser.fz-juelich.de/record/1023791/files/1-s2.0-S0149763424000769-main-1.jpg?subformat=icon-180
|x icon-180
856 4 _ |u https://juser.fz-juelich.de/record/1023791/files/1-s2.0-S0149763424000769-main-1.jpg?subformat=icon-640
|x icon-640
909 C O |o oai:juser.fz-juelich.de:1023791
|p VDB
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 5
|6 P:(DE-Juel1)131678
910 1 _ |a HHU Düsseldorf
|0 I:(DE-HGF)0
|b 5
|6 P:(DE-Juel1)131678
910 1 _ |a Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA. hengyi@pennmedicine.upenn.edu
|0 I:(DE-HGF)0
|b 7
|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)POF4-5251
|x 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)POF4-5253
|x 1
914 1 _ |y 2024
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2023-10-21
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2024-12-18
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1120
|2 StatID
|b BIOSIS Reviews Reports And Meetings
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2024-12-18
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b NEUROSCI BIOBEHAV R : 2022
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2024-12-18
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2024-12-18
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b NEUROSCI BIOBEHAV R : 2022
|d 2024-12-18
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 I:(DE-Juel1)INM-7-20090406
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21