Literature DB >> 20145623

The neuroscience of human intelligence differences.

Ian J Deary1, Lars Penke, Wendy Johnson.   

Abstract

Neuroscience is contributing to an understanding of the biological bases of human intelligence differences. This work is principally being conducted along two empirical fronts: genetics--quantitative and molecular--and brain imaging. Quantitative genetic studies have established that there are additive genetic contributions to different aspects of cognitive ability--especially general intelligence--and how they change through the lifespan. Molecular genetic studies have yet to identify reliably reproducible contributions from individual genes. Structural and functional brain-imaging studies have identified differences in brain pathways, especially parieto-frontal pathways, that contribute to intelligence differences. There is also evidence that brain efficiency correlates positively with intelligence.

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Year:  2010        PMID: 20145623     DOI: 10.1038/nrn2793

Source DB:  PubMed          Journal:  Nat Rev Neurosci        ISSN: 1471-003X            Impact factor:   34.870


  267 in total

1.  Multimodal magnetic resonance imaging: The coordinated use of multiple, mutually informative probes to understand brain structure and function.

Authors:  Xuejun Hao; Dongrong Xu; Ravi Bansal; Zhengchao Dong; Jun Liu; Zhishun Wang; Alayar Kangarlu; Feng Liu; Yunsuo Duan; Satie Shova; Andrew J Gerber; Bradley S Peterson
Journal:  Hum Brain Mapp       Date:  2011-11-11       Impact factor: 5.038

2.  An integrative architecture for general intelligence and executive function revealed by lesion mapping.

Authors:  Aron K Barbey; Roberto Colom; Jeffrey Solomon; Frank Krueger; Chad Forbes; Jordan Grafman
Journal:  Brain       Date:  2012-03-06       Impact factor: 13.501

3.  Brain function during probabilistic learning in relation to IQ and level of education.

Authors:  Wouter van den Bos; Eveline A Crone; Berna Güroğlu
Journal:  Dev Cogn Neurosci       Date:  2011-10-06       Impact factor: 6.464

4.  Similar prefrontal cortical activities between general fluid intelligence and visuospatial working memory tasks in preschool children as revealed by optical topography.

Authors:  Mariko Kuwajima; Toshiyuki Sawaguchi
Journal:  Exp Brain Res       Date:  2010-09-19       Impact factor: 1.972

5.  Development of the brain's structural network efficiency in early adolescence: A longitudinal DTI twin study.

Authors:  Marinka M G Koenis; Rachel M Brouwer; Martijn P van den Heuvel; René C W Mandl; Inge L C van Soelen; René S Kahn; Dorret I Boomsma; Hilleke E Hulshoff Pol
Journal:  Hum Brain Mapp       Date:  2015-09-14       Impact factor: 5.038

6.  Alternating Diffusion Map Based Fusion of Multimodal Brain Connectivity Networks for IQ Prediction.

Authors:  Li Xiao; Julia M Stephen; Tony W Wilson; Vince D Calhoun; Yu-Ping Wang
Journal:  IEEE Trans Biomed Eng       Date:  2018-11-29       Impact factor: 4.538

7.  The relationship between brain volumes and intelligence in bipolar disorder.

Authors:  Annabel Vreeker; Lucija Abramovic; Marco P M Boks; Sanne Verkooijen; Annet H van Bergen; Roel A Ophoff; René S Kahn; Neeltje E M van Haren
Journal:  J Affect Disord       Date:  2017-07-06       Impact factor: 4.839

8.  A multivariate distance-based analytic framework for connectome-wide association studies.

Authors:  Zarrar Shehzad; Clare Kelly; Philip T Reiss; R Cameron Craddock; John W Emerson; Katie McMahon; David A Copland; F Xavier Castellanos; Michael P Milham
Journal:  Neuroimage       Date:  2014-02-28       Impact factor: 6.556

9.  Children's intellectual ability is associated with structural network integrity.

Authors:  Dae-Jin Kim; Elysia Poggi Davis; Curt A Sandman; Olaf Sporns; Brian F O'Donnell; Claudia Buss; William P Hetrick
Journal:  Neuroimage       Date:  2015-09-15       Impact factor: 6.556

10.  A BRIEF INTRODUCTION TO THE NEUROGENETICS OF COGNITION-EMOTION INTERACTIONS.

Authors:  Matthew A Scult; Ahmad R Hariri
Journal:  Curr Opin Behav Sci       Date:  2017-10-15
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