Literature DB >> 22819192

Genetic control of functional brain network efficiency in children.

Martijn P van den Heuvel1, Inge L C van Soelen, Cornelis J Stam, René S Kahn, Dorret I Boomsma, Hilleke E Hulshoff Pol.   

Abstract

The human brain is a complex network of interconnected brain regions. In adulthood, the brain's network was recently found to be under genetic influence. However, the extent to which genes influence the functional brain network early in development is not yet known. We report on the heritability of functional brain efficiency during early brain development. Using a twin design, young children underwent resting-state functional magnetic resonance imaging brain scans (N=86 from 21MZ and 22DZ twin-pairs, age=12 years). Functional connectivity, defined as the temporal dependency of neuronal activation patterns of anatomically separated brain regions, was explored using graph theory and its heritability was examined using structural equation modeling. Our findings suggest that 'global efficiency of communication' among brain regions is under genetic control (h² lambda=42%), irrespectively of the total number of brain connections (connectivity density). In addition, no influence of genes or common environment to local clustering (gamma) was found, suggesting a less pronounced effect of genes on local information segregation. Thus our findings suggest that a set of genes is shaping the underlying architecture of functional brain communication during development.
Copyright © 2012 Elsevier B.V. and ECNP. All rights reserved.

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Year:  2012        PMID: 22819192     DOI: 10.1016/j.euroneuro.2012.06.007

Source DB:  PubMed          Journal:  Eur Neuropsychopharmacol        ISSN: 0924-977X            Impact factor:   4.600


  55 in total

1.  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
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Review 2.  Applying imaging genetics to ADHD: the promises and the challenges.

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Authors:  Ursula A Tooley; Allyson P Mackey; Rastko Ciric; Kosha Ruparel; Tyler M Moore; Ruben C Gur; Raquel E Gur; Theodore D Satterthwaite; Danielle S Bassett
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4.  Randomization and resilience of brain functional networks as systems-level endophenotypes of schizophrenia.

Authors:  Chun-Yi Zac Lo; Tsung-Wei Su; Chu-Chung Huang; Chia-Chun Hung; Wei-Ling Chen; Tsuo-Hung Lan; Ching-Po Lin; Edward T Bullmore
Journal:  Proc Natl Acad Sci U S A       Date:  2015-07-06       Impact factor: 11.205

5.  Establishing the resting state default mode network derived from functional magnetic resonance imaging tasks as an endophenotype: A twins study.

Authors:  Mayuresh S Korgaonkar; Kaushik Ram; Leanne M Williams; Justine M Gatt; Stuart M Grieve
Journal:  Hum Brain Mapp       Date:  2014-01-22       Impact factor: 5.038

6.  Dissociable effects of local inhibitory and excitatory theta-burst stimulation on large-scale brain dynamics.

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7.  Heritability analysis with repeat measurements and its application to resting-state functional connectivity.

Authors:  Tian Ge; Avram J Holmes; Randy L Buckner; Jordan W Smoller; Mert R Sabuncu
Journal:  Proc Natl Acad Sci U S A       Date:  2017-05-08       Impact factor: 11.205

8.  "RADIOTRANSCRIPTOMICS": A synergy of imaging and transcriptomics in clinical assessment.

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Journal:  Quant Biol       Date:  2016-03-04

Review 9.  Brain networks in schizophrenia.

Authors:  Martijn P van den Heuvel; Alex Fornito
Journal:  Neuropsychol Rev       Date:  2014-02-06       Impact factor: 7.444

10.  Heritability of structural brain network topology: a DTI study of 156 twins.

Authors:  Marc M Bohlken; René C W Mandl; Rachel M Brouwer; Martijn P van den Heuvel; Anna M Hedman; René S Kahn; Hilleke E Hulshoff Pol
Journal:  Hum Brain Mapp       Date:  2014-05-21       Impact factor: 5.038

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