The concept of schizotypy — A computational anatomy perspective
Despite major progress in diagnostic accuracy and symptomatic treatment of mental disorders, there is an ongoing debate about their classification aiming to follow current advances in neurobiology. The main goal of this review is to provide a comprehensive summary of the put forward schizotypy conce...
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2015-06-01
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2215001315000190 |
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doaj-art-46ec774abd1043919cb8a639ed972ffd2018-09-02T13:32:33ZengElsevierSchizophrenia Research: Cognition2215-00132015-06-0122899210.1016/j.scog.2015.05.001The concept of schizotypy — A computational anatomy perspectiveC. Modenato0B. Draganski1LREN, University of Lausanne, Dept. of clinical neurosciences, CHUV, Lausanne SwitzerlandLREN, University of Lausanne, Dept. of clinical neurosciences, CHUV, Lausanne SwitzerlandDespite major progress in diagnostic accuracy and symptomatic treatment of mental disorders, there is an ongoing debate about their classification aiming to follow current advances in neurobiology. The main goal of this review is to provide a comprehensive summary of the put forward schizotypy concept that follows the needs for objective assessment of schizophrenia-like personality traits in the general population. We focus on major achievements in the field from the perspective of magnetic resonance imaging-based computational anatomy of the brain. Particular interest is devoted to overlapping brain structure findings in schizotypy and schizophrenia to promote a dimensional view on schizophrenia as extension of phenotype traits in the non-clinical general population.http://www.sciencedirect.com/science/article/pii/S2215001315000190Magnetic resonance imagingVoxel-based morphometryDiffusion-weighted imagingSchizotypySchizophrenia |
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C. Modenato B. Draganski |
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C. Modenato B. Draganski The concept of schizotypy — A computational anatomy perspective Schizophrenia Research: Cognition Magnetic resonance imaging Voxel-based morphometry Diffusion-weighted imaging Schizotypy Schizophrenia |
author_facet |
C. Modenato B. Draganski |
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C. Modenato |
title |
The concept of schizotypy — A computational anatomy perspective |
title_short |
The concept of schizotypy — A computational anatomy perspective |
title_full |
The concept of schizotypy — A computational anatomy perspective |
title_fullStr |
The concept of schizotypy — A computational anatomy perspective |
title_full_unstemmed |
The concept of schizotypy — A computational anatomy perspective |
title_sort |
concept of schizotypy — a computational anatomy perspective |
publisher |
Elsevier |
series |
Schizophrenia Research: Cognition |
issn |
2215-0013 |
publishDate |
2015-06-01 |
description |
Despite major progress in diagnostic accuracy and symptomatic treatment of mental disorders, there is an ongoing debate about their classification aiming to follow current advances in neurobiology. The main goal of this review is to provide a comprehensive summary of the put forward schizotypy concept that follows the needs for objective assessment of schizophrenia-like personality traits in the general population. We focus on major achievements in the field from the perspective of magnetic resonance imaging-based computational anatomy of the brain. Particular interest is devoted to overlapping brain structure findings in schizotypy and schizophrenia to promote a dimensional view on schizophrenia as extension of phenotype traits in the non-clinical general population. |
topic |
Magnetic resonance imaging Voxel-based morphometry Diffusion-weighted imaging Schizotypy Schizophrenia |
url |
http://www.sciencedirect.com/science/article/pii/S2215001315000190 |
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1612641139216613376 |