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Topological Modification of Brain Networks Organization in Children With High Intelligence Quotient: A Resting-State fMRI Study

The idea that intelligence is embedded not only in a single brain network, but instead in a complex, well-optimized system of complementary networks, has led to the development of whole brain network analysis. Using graph theory to analyze resting-state functional MRI data, we investigated the brain...

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Autores principales: Suprano, Ilaria, Delon-Martin, Chantal, Kocevar, Gabriel, Stamile, Claudio, Hannoun, Salem, Achard, Sophie, Badhwar, Amanpreet, Fourneret, Pierre, Revol, Olivier, Nusbaum, Fanny, Sappey-Marinier, Dominique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6639736/
https://www.ncbi.nlm.nih.gov/pubmed/31354458
http://dx.doi.org/10.3389/fnhum.2019.00241
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author Suprano, Ilaria
Delon-Martin, Chantal
Kocevar, Gabriel
Stamile, Claudio
Hannoun, Salem
Achard, Sophie
Badhwar, Amanpreet
Fourneret, Pierre
Revol, Olivier
Nusbaum, Fanny
Sappey-Marinier, Dominique
author_facet Suprano, Ilaria
Delon-Martin, Chantal
Kocevar, Gabriel
Stamile, Claudio
Hannoun, Salem
Achard, Sophie
Badhwar, Amanpreet
Fourneret, Pierre
Revol, Olivier
Nusbaum, Fanny
Sappey-Marinier, Dominique
author_sort Suprano, Ilaria
collection PubMed
description The idea that intelligence is embedded not only in a single brain network, but instead in a complex, well-optimized system of complementary networks, has led to the development of whole brain network analysis. Using graph theory to analyze resting-state functional MRI data, we investigated the brain graph networks (or brain networks) of high intelligence quotient (HIQ) children. To this end, we computed the “hub disruption index κ,” an index sensitive to graph network modifications. We found significant topological differences in the integration and segregation properties of brain networks in HIQ compared to standard IQ children, not only for the whole brain graph, but also for each hemispheric graph, and for the homotopic connectivity. Moreover, two profiles of HIQ children, homogenous and heterogeneous, based on the differences between the two main IQ subscales [verbal comprehension index (VCI) and perceptual reasoning index (PRI)], were compared. Brain network changes were more pronounced in the heterogeneous than in the homogeneous HIQ subgroups. Finally, we found significant correlations between the graph networks’ changes and the full-scale IQ (FSIQ), as well as the subscales VCI and PRI. Specifically, the higher the FSIQ the greater was the brain organization modification in the whole brain, the left hemisphere, and the homotopic connectivity. These results shed new light on the relation between functional connectivity topology and high intelligence, as well as on different intelligence profiles.
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spelling pubmed-66397362019-07-26 Topological Modification of Brain Networks Organization in Children With High Intelligence Quotient: A Resting-State fMRI Study Suprano, Ilaria Delon-Martin, Chantal Kocevar, Gabriel Stamile, Claudio Hannoun, Salem Achard, Sophie Badhwar, Amanpreet Fourneret, Pierre Revol, Olivier Nusbaum, Fanny Sappey-Marinier, Dominique Front Hum Neurosci Neuroscience The idea that intelligence is embedded not only in a single brain network, but instead in a complex, well-optimized system of complementary networks, has led to the development of whole brain network analysis. Using graph theory to analyze resting-state functional MRI data, we investigated the brain graph networks (or brain networks) of high intelligence quotient (HIQ) children. To this end, we computed the “hub disruption index κ,” an index sensitive to graph network modifications. We found significant topological differences in the integration and segregation properties of brain networks in HIQ compared to standard IQ children, not only for the whole brain graph, but also for each hemispheric graph, and for the homotopic connectivity. Moreover, two profiles of HIQ children, homogenous and heterogeneous, based on the differences between the two main IQ subscales [verbal comprehension index (VCI) and perceptual reasoning index (PRI)], were compared. Brain network changes were more pronounced in the heterogeneous than in the homogeneous HIQ subgroups. Finally, we found significant correlations between the graph networks’ changes and the full-scale IQ (FSIQ), as well as the subscales VCI and PRI. Specifically, the higher the FSIQ the greater was the brain organization modification in the whole brain, the left hemisphere, and the homotopic connectivity. These results shed new light on the relation between functional connectivity topology and high intelligence, as well as on different intelligence profiles. Frontiers Media S.A. 2019-07-12 /pmc/articles/PMC6639736/ /pubmed/31354458 http://dx.doi.org/10.3389/fnhum.2019.00241 Text en Copyright © 2019 Suprano, Delon-Martin, Kocevar, Stamile, Hannoun, Achard, Badhwar, Fourneret, Revol, Nusbaum and Sappey-Marinier. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Suprano, Ilaria
Delon-Martin, Chantal
Kocevar, Gabriel
Stamile, Claudio
Hannoun, Salem
Achard, Sophie
Badhwar, Amanpreet
Fourneret, Pierre
Revol, Olivier
Nusbaum, Fanny
Sappey-Marinier, Dominique
Topological Modification of Brain Networks Organization in Children With High Intelligence Quotient: A Resting-State fMRI Study
title Topological Modification of Brain Networks Organization in Children With High Intelligence Quotient: A Resting-State fMRI Study
title_full Topological Modification of Brain Networks Organization in Children With High Intelligence Quotient: A Resting-State fMRI Study
title_fullStr Topological Modification of Brain Networks Organization in Children With High Intelligence Quotient: A Resting-State fMRI Study
title_full_unstemmed Topological Modification of Brain Networks Organization in Children With High Intelligence Quotient: A Resting-State fMRI Study
title_short Topological Modification of Brain Networks Organization in Children With High Intelligence Quotient: A Resting-State fMRI Study
title_sort topological modification of brain networks organization in children with high intelligence quotient: a resting-state fmri study
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6639736/
https://www.ncbi.nlm.nih.gov/pubmed/31354458
http://dx.doi.org/10.3389/fnhum.2019.00241
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