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Callosal and subcortical white matter alterations in schizophrenia: A diffusion tensor imaging study at multiple levels
Diffusion tensor imaging and its distinct capability to detect micro-structural changes in vivo allows the exploration of white matter (WM) abnormalities in patients who have been diagnosed with schizophrenia; however, the results regarding the anatomical positions and degree of abnormalities are in...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6120601/ https://www.ncbi.nlm.nih.gov/pubmed/30186763 http://dx.doi.org/10.1016/j.nicl.2018.08.027 |
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author | Zhao, Wei Guo, Shuixia He, Ningning Yang, Albert C. Lin, Ching-Po Tsai, Shih-Jen |
author_facet | Zhao, Wei Guo, Shuixia He, Ningning Yang, Albert C. Lin, Ching-Po Tsai, Shih-Jen |
author_sort | Zhao, Wei |
collection | PubMed |
description | Diffusion tensor imaging and its distinct capability to detect micro-structural changes in vivo allows the exploration of white matter (WM) abnormalities in patients who have been diagnosed with schizophrenia; however, the results regarding the anatomical positions and degree of abnormalities are inconsistent. In order to obtain more robust and stable findings, we conducted a multi-level analysis to investigate WM disruption in a relatively large sample size (142 schizophrenia patients and 163 healthy subjects). Specifically, we evaluated the univariate fractional anisotropy (FA) in voxel level; the bivariate pairwise structural connectivity between regions using deterministic tractography as the network node defined by the Human Brainnetome Atlas; and the multivariate network topological properties, including the network hub, efficiency, small-worldness, and strength. Our data demonstrated callosal and subcortical WM alterations in patients with schizophrenia. These disruptions were evident in both voxel and connectivity levels and further supported by associations between FA values and illness duration. Based on the findings regarding topological properties, the structural network showed weaker global integration in patients with schizophrenia than in healthy subjects, while brain network hubs showed decreased functionality. We replicated these findings using an automated anatomical labeling atlas to define the network node. Our study indicates that callosal and subcortical WM disruptions are biomarkers for chronic schizophrenia. |
format | Online Article Text |
id | pubmed-6120601 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-61206012018-09-05 Callosal and subcortical white matter alterations in schizophrenia: A diffusion tensor imaging study at multiple levels Zhao, Wei Guo, Shuixia He, Ningning Yang, Albert C. Lin, Ching-Po Tsai, Shih-Jen Neuroimage Clin Regular Article Diffusion tensor imaging and its distinct capability to detect micro-structural changes in vivo allows the exploration of white matter (WM) abnormalities in patients who have been diagnosed with schizophrenia; however, the results regarding the anatomical positions and degree of abnormalities are inconsistent. In order to obtain more robust and stable findings, we conducted a multi-level analysis to investigate WM disruption in a relatively large sample size (142 schizophrenia patients and 163 healthy subjects). Specifically, we evaluated the univariate fractional anisotropy (FA) in voxel level; the bivariate pairwise structural connectivity between regions using deterministic tractography as the network node defined by the Human Brainnetome Atlas; and the multivariate network topological properties, including the network hub, efficiency, small-worldness, and strength. Our data demonstrated callosal and subcortical WM alterations in patients with schizophrenia. These disruptions were evident in both voxel and connectivity levels and further supported by associations between FA values and illness duration. Based on the findings regarding topological properties, the structural network showed weaker global integration in patients with schizophrenia than in healthy subjects, while brain network hubs showed decreased functionality. We replicated these findings using an automated anatomical labeling atlas to define the network node. Our study indicates that callosal and subcortical WM disruptions are biomarkers for chronic schizophrenia. Elsevier 2018-08-24 /pmc/articles/PMC6120601/ /pubmed/30186763 http://dx.doi.org/10.1016/j.nicl.2018.08.027 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Regular Article Zhao, Wei Guo, Shuixia He, Ningning Yang, Albert C. Lin, Ching-Po Tsai, Shih-Jen Callosal and subcortical white matter alterations in schizophrenia: A diffusion tensor imaging study at multiple levels |
title | Callosal and subcortical white matter alterations in schizophrenia: A diffusion tensor imaging study at multiple levels |
title_full | Callosal and subcortical white matter alterations in schizophrenia: A diffusion tensor imaging study at multiple levels |
title_fullStr | Callosal and subcortical white matter alterations in schizophrenia: A diffusion tensor imaging study at multiple levels |
title_full_unstemmed | Callosal and subcortical white matter alterations in schizophrenia: A diffusion tensor imaging study at multiple levels |
title_short | Callosal and subcortical white matter alterations in schizophrenia: A diffusion tensor imaging study at multiple levels |
title_sort | callosal and subcortical white matter alterations in schizophrenia: a diffusion tensor imaging study at multiple levels |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6120601/ https://www.ncbi.nlm.nih.gov/pubmed/30186763 http://dx.doi.org/10.1016/j.nicl.2018.08.027 |
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