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Comparison of large-scale human brain functional and anatomical networks in schizophrenia

Schizophrenia is a disease with disruptions in thought, emotion, and behavior. The dysconnectivity hypothesis suggests these disruptions are due to aberrant brain connectivity. Many studies have identified connectivity differences but few have been able to unify gray and white matter findings into o...

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Autores principales: Nelson, Brent G., Bassett, Danielle S., Camchong, Jazmin, Bullmore, Edward T., Lim, Kelvin O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5459352/
https://www.ncbi.nlm.nih.gov/pubmed/28616384
http://dx.doi.org/10.1016/j.nicl.2017.05.007
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author Nelson, Brent G.
Bassett, Danielle S.
Camchong, Jazmin
Bullmore, Edward T.
Lim, Kelvin O.
author_facet Nelson, Brent G.
Bassett, Danielle S.
Camchong, Jazmin
Bullmore, Edward T.
Lim, Kelvin O.
author_sort Nelson, Brent G.
collection PubMed
description Schizophrenia is a disease with disruptions in thought, emotion, and behavior. The dysconnectivity hypothesis suggests these disruptions are due to aberrant brain connectivity. Many studies have identified connectivity differences but few have been able to unify gray and white matter findings into one model. Here we develop an extension of the Network-Based Statistic (NBS) called NBSm (Multimodal Network-based statistic) to compare functional and anatomical networks in schizophrenia. Structural, resting functional, and diffusion magnetic resonance imaging data were collected from 29 chronic patients with schizophrenia and 29 healthy controls. Images were preprocessed, and average time courses were extracted for 90 regions of interest (ROI). Functional connectivity matrices were estimated by pairwise correlations between wavelet coefficients of ROI time series. Following diffusion tractography, anatomical connectivity matrices were estimated by white matter streamline counts between each pair of ROIs. Global and regional strength were calculated for each modality. NBSm was used to find significant overlap between functional and anatomical components that distinguished health from schizophrenia. Global strength was decreased in patients in both functional and anatomical networks. Regional strength was decreased in all regions in functional networks and only one region in anatomical networks. NBSm identified a distinguishing functional component consisting of 46 nodes with 113 links (p < 0.001), a distinguishing anatomical component with 47 nodes and 50 links (p = 0.002), and a distinguishing intermodal component with 26 nodes (p < 0.001). NBSm is a powerful technique for understanding network-based group differences present in both anatomical and functional data. In light of the dysconnectivity hypothesis, these results provide compelling evidence for the presence of significant overlapping anatomical and functional disruption in people with schizophrenia.
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spelling pubmed-54593522017-06-14 Comparison of large-scale human brain functional and anatomical networks in schizophrenia Nelson, Brent G. Bassett, Danielle S. Camchong, Jazmin Bullmore, Edward T. Lim, Kelvin O. Neuroimage Clin Regular Article Schizophrenia is a disease with disruptions in thought, emotion, and behavior. The dysconnectivity hypothesis suggests these disruptions are due to aberrant brain connectivity. Many studies have identified connectivity differences but few have been able to unify gray and white matter findings into one model. Here we develop an extension of the Network-Based Statistic (NBS) called NBSm (Multimodal Network-based statistic) to compare functional and anatomical networks in schizophrenia. Structural, resting functional, and diffusion magnetic resonance imaging data were collected from 29 chronic patients with schizophrenia and 29 healthy controls. Images were preprocessed, and average time courses were extracted for 90 regions of interest (ROI). Functional connectivity matrices were estimated by pairwise correlations between wavelet coefficients of ROI time series. Following diffusion tractography, anatomical connectivity matrices were estimated by white matter streamline counts between each pair of ROIs. Global and regional strength were calculated for each modality. NBSm was used to find significant overlap between functional and anatomical components that distinguished health from schizophrenia. Global strength was decreased in patients in both functional and anatomical networks. Regional strength was decreased in all regions in functional networks and only one region in anatomical networks. NBSm identified a distinguishing functional component consisting of 46 nodes with 113 links (p < 0.001), a distinguishing anatomical component with 47 nodes and 50 links (p = 0.002), and a distinguishing intermodal component with 26 nodes (p < 0.001). NBSm is a powerful technique for understanding network-based group differences present in both anatomical and functional data. In light of the dysconnectivity hypothesis, these results provide compelling evidence for the presence of significant overlapping anatomical and functional disruption in people with schizophrenia. Elsevier 2017-05-14 /pmc/articles/PMC5459352/ /pubmed/28616384 http://dx.doi.org/10.1016/j.nicl.2017.05.007 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Regular Article
Nelson, Brent G.
Bassett, Danielle S.
Camchong, Jazmin
Bullmore, Edward T.
Lim, Kelvin O.
Comparison of large-scale human brain functional and anatomical networks in schizophrenia
title Comparison of large-scale human brain functional and anatomical networks in schizophrenia
title_full Comparison of large-scale human brain functional and anatomical networks in schizophrenia
title_fullStr Comparison of large-scale human brain functional and anatomical networks in schizophrenia
title_full_unstemmed Comparison of large-scale human brain functional and anatomical networks in schizophrenia
title_short Comparison of large-scale human brain functional and anatomical networks in schizophrenia
title_sort comparison of large-scale human brain functional and anatomical networks in schizophrenia
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5459352/
https://www.ncbi.nlm.nih.gov/pubmed/28616384
http://dx.doi.org/10.1016/j.nicl.2017.05.007
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