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Change in brain network topology as a function of treatment response in schizophrenia: a longitudinal resting-state fMRI study using graph theory
A number of neuroimaging studies have provided evidence in support of the hypothesis that faulty interactions between spatially disparate brain regions underlie the pathophysiology of schizophrenia, but it remains unclear to what degree antipsychotic medications affect these. We hypothesized that th...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4898893/ https://www.ncbi.nlm.nih.gov/pubmed/27336056 http://dx.doi.org/10.1038/npjschz.2016.14 |
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author | Hadley, Jennifer Ann Kraguljac, Nina Vanessa White, David Matthew Ver Hoef, Lawrence Tabora, Janell Lahti, Adrienne Carol |
author_facet | Hadley, Jennifer Ann Kraguljac, Nina Vanessa White, David Matthew Ver Hoef, Lawrence Tabora, Janell Lahti, Adrienne Carol |
author_sort | Hadley, Jennifer Ann |
collection | PubMed |
description | A number of neuroimaging studies have provided evidence in support of the hypothesis that faulty interactions between spatially disparate brain regions underlie the pathophysiology of schizophrenia, but it remains unclear to what degree antipsychotic medications affect these. We hypothesized that the balance between functional integration and segregation of brain networks is impaired in unmedicated patients with schizophrenia, but that it can be partially restored by antipsychotic medications. We included 32 unmedicated patients with schizophrenia (SZ) and 32 matched healthy controls (HC) in this study. We obtained resting-state scans while unmedicated, and again after 6 weeks of treatment with risperidone to assess functional integration and functional segregation of brain networks using graph theoretical measures. Compared with HC, unmedicated SZ showed reduced global efficiency and increased clustering coefficients. This pattern of aberrant functional network integration and segregation was modulated with antipsychotic medications, but only in those who responded to treatment. Our work lends support to the concept of schizophrenia as a dysconnectivity syndrome, and suggests that faulty brain network topology in schizophrenia is modulated by antipsychotic medication as a function of treatment response. |
format | Online Article Text |
id | pubmed-4898893 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48988932016-06-22 Change in brain network topology as a function of treatment response in schizophrenia: a longitudinal resting-state fMRI study using graph theory Hadley, Jennifer Ann Kraguljac, Nina Vanessa White, David Matthew Ver Hoef, Lawrence Tabora, Janell Lahti, Adrienne Carol NPJ Schizophr Article A number of neuroimaging studies have provided evidence in support of the hypothesis that faulty interactions between spatially disparate brain regions underlie the pathophysiology of schizophrenia, but it remains unclear to what degree antipsychotic medications affect these. We hypothesized that the balance between functional integration and segregation of brain networks is impaired in unmedicated patients with schizophrenia, but that it can be partially restored by antipsychotic medications. We included 32 unmedicated patients with schizophrenia (SZ) and 32 matched healthy controls (HC) in this study. We obtained resting-state scans while unmedicated, and again after 6 weeks of treatment with risperidone to assess functional integration and functional segregation of brain networks using graph theoretical measures. Compared with HC, unmedicated SZ showed reduced global efficiency and increased clustering coefficients. This pattern of aberrant functional network integration and segregation was modulated with antipsychotic medications, but only in those who responded to treatment. Our work lends support to the concept of schizophrenia as a dysconnectivity syndrome, and suggests that faulty brain network topology in schizophrenia is modulated by antipsychotic medication as a function of treatment response. Nature Publishing Group 2016-04-27 /pmc/articles/PMC4898893/ /pubmed/27336056 http://dx.doi.org/10.1038/npjschz.2016.14 Text en Copyright © 2016 Schizophrenia International Research Society/Nature Publishing Group http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Hadley, Jennifer Ann Kraguljac, Nina Vanessa White, David Matthew Ver Hoef, Lawrence Tabora, Janell Lahti, Adrienne Carol Change in brain network topology as a function of treatment response in schizophrenia: a longitudinal resting-state fMRI study using graph theory |
title | Change in brain network topology as a function of treatment response in schizophrenia: a longitudinal resting-state fMRI study using graph theory |
title_full | Change in brain network topology as a function of treatment response in schizophrenia: a longitudinal resting-state fMRI study using graph theory |
title_fullStr | Change in brain network topology as a function of treatment response in schizophrenia: a longitudinal resting-state fMRI study using graph theory |
title_full_unstemmed | Change in brain network topology as a function of treatment response in schizophrenia: a longitudinal resting-state fMRI study using graph theory |
title_short | Change in brain network topology as a function of treatment response in schizophrenia: a longitudinal resting-state fMRI study using graph theory |
title_sort | change in brain network topology as a function of treatment response in schizophrenia: a longitudinal resting-state fmri study using graph theory |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4898893/ https://www.ncbi.nlm.nih.gov/pubmed/27336056 http://dx.doi.org/10.1038/npjschz.2016.14 |
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