| Home > Publications database > Meta-analytic evidence for a core problem solving network across multiple representational domains > print |
| 001 | 849758 | ||
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| 024 | 7 | _ | |a 10.1016/j.neubiorev.2018.06.009 |2 doi |
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| 082 | _ | _ | |a 150 |
| 100 | 1 | _ | |a Bartley, Jessica E. |0 P:(DE-HGF)0 |b 0 |
| 245 | _ | _ | |a Meta-analytic evidence for a core problem solving network across multiple representational domains |
| 260 | _ | _ | |a Amsterdam [u.a.] |c 2018 |b Elsevier Science |
| 336 | 7 | _ | |a article |2 DRIVER |
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| 500 | _ | _ | |a This study was supported by awards from the National Science Foundation (REAL DRL-1420627), the National Institute of Drug Abuse (U24-DA039832, U01-DA041156, K01-DA037819), and the National Institute of Mental Health (R56-MH097870). |
| 520 | _ | _ | |a 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 3,166 foci from 1,919 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. |
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| 700 | 1 | _ | |a Bottenhorn, Katherine L. |0 0000-0002-7796-8795 |b 3 |
| 700 | 1 | _ | |a Salo, Taylor |0 0000-0001-9813-3167 |b 4 |
| 700 | 1 | _ | |a Eickhoff, Simon |0 P:(DE-Juel1)131678 |b 5 |
| 700 | 1 | _ | |a Brewe, Eric |0 0000-0003-3480-7040 |b 6 |
| 700 | 1 | _ | |a Sutherland, Matthew T. |0 0000-0002-6091-4037 |b 7 |
| 700 | 1 | _ | |a Laird, Angela R. |0 P:(DE-HGF)0 |b 8 |e Corresponding author |
| 773 | _ | _ | |a 10.1016/j.neubiorev.2018.06.009 |g p. S0149763417304773 |0 PERI:(DE-600)1498433-7 |p 318-337 |t Neuroscience & biobehavioral reviews |v 92 |y 2018 |x 0149-7634 |
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