NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS | 卷:92 |
Meta-analytic evidence for a core problem solving network across multiple representational domains | |
Review | |
Bartley, Jessica E.1  Boeving, Emily R.2  Riedel, Michael C.1  Bottenhorn, Katherine L.2  Salo, Taylor2  Eickhoff, Simon B.3,4  Brewe, Eric5,6,7  Sutherland, Matthew T.2  Laird, Angela R.1  | |
[1] Florida Int Univ, Dept Phys, AHC4 310,Modesto Maidique Campus, Miami, FL 33199 USA | |
[2] Florida Int Univ, Dept Psychol, Miami, FL 33199 USA | |
[3] Heinrich Heine Univ Dusseldorf, Med Fac, Inst Syst Neurosci, Dusseldorf, Germany | |
[4] Res Ctr Julich, Inst Neurosci & Med, Brain & Behav INM 7, Julich, Germany | |
[5] Florida Int Univ, Dept Teaching & Learning, Miami, FL 33199 USA | |
[6] Drexel Univ, Dept Phys, Philadelphia, PA 19104 USA | |
[7] Drexel Univ, Dept Educ, Philadelphia, PA 19104 USA | |
关键词: Problem solving; Reasoning; Cognitive control; Functional neuroimaging; Meta-analysis; Activation likelihood estimation (ALE); Domain-generality; Domain-specificity; | |
DOI : 10.1016/j.neubiorev.2018.06.009 | |
来源: Elsevier | |
【 摘 要 】
Problem solving is a complex skill engaging multi-stepped reasoning processes to find unknown solutions. The breadth of real-world contexts requiring problem solving is mirrored by a similarly broad, yet unfocused neuroimaging literature, and the domain-general or context-specific brain networks associated with problem solving are not well understood. To more fully characterize those brain networks, we performed activation likelihood estimation meta-analysis on 280 neuroimaging problem solving experiments reporting 3166 foci from 1919 individuals across 131 papers. The general map of problem solving revealed broad fronto-cingulo-parietal convergence, regions similarly identified when considering separate mathematical, verbal, and visuospatial problem solving domain-specific analyses. Conjunction analysis revealed a common network supporting problem solving across diverse contexts, and difference maps distinguished functionally-selective sub-networks specific to task type. Our results suggest cooperation between representationally specialized sub-network and whole-brain systems provide a neural basis for problem solving, with the core network contributing general purpose resources to perform cognitive operations and manage problem demand. Further characterization of cross-network dynamics could inform neuroeducational studies on problem solving skill development.
【 授权许可】
Free
【 预 览 】
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10_1016_j_neubiorev_2018_06_009.pdf | 1315KB | download |