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dc.contributor.author Shin, Minho -
dc.contributor.author Jeon, Hyeon-Ae -
dc.date.accessioned 2021-07-14T20:08:16Z -
dc.date.available 2021-07-14T20:08:16Z -
dc.date.created 2021-06-30 -
dc.date.created 2021-06-30 -
dc.date.created 2021-06-30 -
dc.date.created 2021-06-30 -
dc.date.created 2021-06-30 -
dc.date.issued 2021-12 -
dc.identifier.citation Cerebral Cortex, v.31, no.12, pp.5497 - 5510 -
dc.identifier.issn 1047-3211 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/13812 -
dc.description.abstract Recent advances in neuroimaging have augmented numerous findings in the human reasoning process but have yielded varying results. One possibility for this inconsistency is that reasoning is such an intricate cognitive process, involving attention, memory, executive functions, symbolic processing, and fluid intelligence, whereby various brain regions are inevitably implicated in orchestrating the process. Therefore, researchers have used meta-analyses for a better understanding of neural mechanisms of reasoning. However, previous meta-analysis techniques include weaknesses such as an inadequate representation of the cortical surface's highly folded geometry. Accordingly, we developed a new meta-analysis method called Bayesian meta-analysis of the cortical surface (BMACS). BMACS offers a fast, accurate, and accessible inference of the spatial patterns of cognitive processes from peak brain activations across studies by applying spatial point processes to the cortical surface. Using BMACS, we found that the common pattern of activations from inductive and deductive reasoning was colocalized with the multiple-demand system, indicating that reasoning is a high-level convergence of complex cognitive processes. We hope surface-based meta-analysis will be facilitated by BMACS, bringing more profound knowledge of various cognitive processes. © The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com. -
dc.language English -
dc.publisher Oxford University Press -
dc.title A Cortical Surface-Based Meta-Analysis of Human Reasoning -
dc.type Article -
dc.identifier.doi 10.1093/cercor/bhab174 -
dc.identifier.wosid 000733367300016 -
dc.identifier.scopusid 2-s2.0-85114835022 -
dc.type.local Article(Overseas) -
dc.type.rims ART -
dc.description.journalClass 1 -
dc.citation.publicationname Cerebral Cortex -
dc.contributor.localauthor Shin, Minho -
dc.contributor.localauthor Jeon, Hyeon-Ae -
dc.contributor.nonIdAuthor Shin, Minho -
dc.identifier.citationVolume 31 -
dc.identifier.citationNumber 12 -
dc.identifier.citationStartPage 5497 -
dc.identifier.citationEndPage 5510 -
dc.identifier.citationTitle Cerebral Cortex -
dc.description.isOpenAccess Y -
dc.subject.keywordAuthor log-Gaussian Cox process -
dc.subject.keywordAuthor Bayesian meta-analysis of the cortical surface (BMACS) -
dc.subject.keywordAuthor functional magnetic resonance imaging -
dc.subject.keywordAuthor inductive and deductive reasoning -
dc.subject.keywordAuthor integrated nested Laplace approximation (INLA) -
dc.subject.keywordPlus FUNCTIONAL NEUROIMAGING DATA -
dc.subject.keywordPlus COORDINATE-BASED METAANALYSIS -
dc.subject.keywordPlus PREFRONTAL CORTEX -
dc.subject.keywordPlus INFERENCE -
dc.subject.keywordPlus LANGUAGE -
dc.subject.keywordPlus FMRI -
dc.subject.keywordPlus INTELLIGENCE -
dc.subject.keywordPlus NEUROANATOMY -
dc.subject.keywordPlus SYSTEM -
dc.subject.keywordPlus MNI -


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