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Reduced specialized processing in psychotic disorder: a graph theoretical analysis of cerebral functional connectivity
BACKGROUND: Previous research has shown that the human brain can be represented as a complex functional network that is characterized by specific topological properties, such as clustering coefficient, characteristic path length, and global/local efficiency. Patients with psychotic disorder may have...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5036431/ https://www.ncbi.nlm.nih.gov/pubmed/27688938 http://dx.doi.org/10.1002/brb3.508 |
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author | Peeters, Sanne C. T. Gronenschild, Ed H. B. M. van Amelsvoort, Therese van Os, Jim Marcelis, Machteld Kahn, Rene Wiersma, Durk Bruggeman, Richard Cahn, Wiepke de Haan, Lieuwe Meijer, Carin Myin‐Germeys, Inez |
author_facet | Peeters, Sanne C. T. Gronenschild, Ed H. B. M. van Amelsvoort, Therese van Os, Jim Marcelis, Machteld Kahn, Rene Wiersma, Durk Bruggeman, Richard Cahn, Wiepke de Haan, Lieuwe Meijer, Carin Myin‐Germeys, Inez |
author_sort | Peeters, Sanne C. T. |
collection | PubMed |
description | BACKGROUND: Previous research has shown that the human brain can be represented as a complex functional network that is characterized by specific topological properties, such as clustering coefficient, characteristic path length, and global/local efficiency. Patients with psychotic disorder may have alterations in these properties with respect to controls, indicating altered efficiency of network organization. This study examined graph theoretical changes in relation to differential genetic risk for the disorder and aimed to identify clinical correlates. METHODS: Anatomical and resting‐state MRI brain scans were obtained from 73 patients with psychotic disorder, 83 unaffected siblings, and 72 controls. Topological measures (i.e., clustering coefficient, characteristic path length, and small‐worldness) were used as dependent variables in a multilevel random regression analysis to investigate group differences. In addition, associations with (subclinical) psychotic/cognitive symptoms were examined. RESULTS: Patients had a significantly lower clustering coefficient compared to siblings and controls, with no difference between the latter groups. No group differences were observed for characteristic path length and small‐worldness. None of the topological properties were associated with (sub)clinical psychotic and cognitive symptoms. CONCLUSIONS: The reduced ability for specialized processing (reflected by a lower clustering coefficient) within highly interconnected brain regions observed in the patient group may indicate state‐related network alterations. There was no evidence for an intermediate phenotype and no evidence for psychopathology‐related alterations. |
format | Online Article Text |
id | pubmed-5036431 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-50364312016-09-29 Reduced specialized processing in psychotic disorder: a graph theoretical analysis of cerebral functional connectivity Peeters, Sanne C. T. Gronenschild, Ed H. B. M. van Amelsvoort, Therese van Os, Jim Marcelis, Machteld Kahn, Rene Wiersma, Durk Bruggeman, Richard Cahn, Wiepke de Haan, Lieuwe Meijer, Carin Myin‐Germeys, Inez Brain Behav Original Research BACKGROUND: Previous research has shown that the human brain can be represented as a complex functional network that is characterized by specific topological properties, such as clustering coefficient, characteristic path length, and global/local efficiency. Patients with psychotic disorder may have alterations in these properties with respect to controls, indicating altered efficiency of network organization. This study examined graph theoretical changes in relation to differential genetic risk for the disorder and aimed to identify clinical correlates. METHODS: Anatomical and resting‐state MRI brain scans were obtained from 73 patients with psychotic disorder, 83 unaffected siblings, and 72 controls. Topological measures (i.e., clustering coefficient, characteristic path length, and small‐worldness) were used as dependent variables in a multilevel random regression analysis to investigate group differences. In addition, associations with (subclinical) psychotic/cognitive symptoms were examined. RESULTS: Patients had a significantly lower clustering coefficient compared to siblings and controls, with no difference between the latter groups. No group differences were observed for characteristic path length and small‐worldness. None of the topological properties were associated with (sub)clinical psychotic and cognitive symptoms. CONCLUSIONS: The reduced ability for specialized processing (reflected by a lower clustering coefficient) within highly interconnected brain regions observed in the patient group may indicate state‐related network alterations. There was no evidence for an intermediate phenotype and no evidence for psychopathology‐related alterations. John Wiley and Sons Inc. 2016-06-29 /pmc/articles/PMC5036431/ /pubmed/27688938 http://dx.doi.org/10.1002/brb3.508 Text en © 2016 The Authors. Brain and Behavior published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Peeters, Sanne C. T. Gronenschild, Ed H. B. M. van Amelsvoort, Therese van Os, Jim Marcelis, Machteld Kahn, Rene Wiersma, Durk Bruggeman, Richard Cahn, Wiepke de Haan, Lieuwe Meijer, Carin Myin‐Germeys, Inez Reduced specialized processing in psychotic disorder: a graph theoretical analysis of cerebral functional connectivity |
title | Reduced specialized processing in psychotic disorder: a graph theoretical analysis of cerebral functional connectivity |
title_full | Reduced specialized processing in psychotic disorder: a graph theoretical analysis of cerebral functional connectivity |
title_fullStr | Reduced specialized processing in psychotic disorder: a graph theoretical analysis of cerebral functional connectivity |
title_full_unstemmed | Reduced specialized processing in psychotic disorder: a graph theoretical analysis of cerebral functional connectivity |
title_short | Reduced specialized processing in psychotic disorder: a graph theoretical analysis of cerebral functional connectivity |
title_sort | reduced specialized processing in psychotic disorder: a graph theoretical analysis of cerebral functional connectivity |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5036431/ https://www.ncbi.nlm.nih.gov/pubmed/27688938 http://dx.doi.org/10.1002/brb3.508 |
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