Literature DB >> 23259956

Fractionating human intelligence.

Adam Hampshire1, Roger R Highfield, Beth L Parkin, Adrian M Owen.   

Abstract

What makes one person more intellectually able than another? Can the entire distribution of human intelligence be accounted for by just one general factor? Is intelligence supported by a single neural system? Here, we provide a perspective on human intelligence that takes into account how general abilities or "factors" reflect the functional organization of the brain. By comparing factor models of individual differences in performance with factor models of brain functional organization, we demonstrate that different components of intelligence have their analogs in distinct brain networks. Using simulations based on neuroimaging data, we show that the higher-order factor "g" is accounted for by cognitive tasks corecruiting multiple networks. Finally, we confirm the independence of these components of intelligence by dissociating them using questionnaire variables. We propose that intelligence is an emergent property of anatomically distinct cognitive systems, each of which has its own capacity.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23259956     DOI: 10.1016/j.neuron.2012.06.022

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  83 in total

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2.  Dynamic network mechanisms of relational integration.

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4.  Individual-subject Functional Localization Increases Univariate Activation but Not Multivariate Pattern Discriminability in the "Multiple-demand" Frontoparietal Network.

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6.  Making cognitive latent variables manifest: distinct neural networks for fluid reasoning and processing speed.

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7.  Continuity of cognitive change across adulthood.

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8.  Functional Specialization and Flexibility in Human Association Cortex.

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9.  The Reference Ability Neural Network Study: motivation, design, and initial feasibility analyses.

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Review 10.  Unity and diversity of executive functions: Individual differences as a window on cognitive structure.

Authors:  Naomi P Friedman; Akira Miyake
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