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Cortical morphology and illness insight in patients with schizophrenia

Insight into illness in schizophrenia (SZ) patients has a major impact on treatment adherence and outcome. Previous studies have linked distinct deviations of brain structure to illness insight, specifically in frontoparietal and subcortical regions. Some of these abnormalities are thought to reflec...

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Autores principales: Otte, Marie-Luise, Schmitgen, Mike M., Kubera, Katharina M., Wolf, Nadine D., Fritze, Stefan, Geiger, Lena S., Tost, Heike, Seidl, Ulrich W., Meyer-Lindenberg, Andreas, Hirjak, Dusan, Wolf, Robert C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388450/
https://www.ncbi.nlm.nih.gov/pubmed/34518921
http://dx.doi.org/10.1007/s00406-021-01328-x
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author Otte, Marie-Luise
Schmitgen, Mike M.
Kubera, Katharina M.
Wolf, Nadine D.
Fritze, Stefan
Geiger, Lena S.
Tost, Heike
Seidl, Ulrich W.
Meyer-Lindenberg, Andreas
Hirjak, Dusan
Wolf, Robert C.
author_facet Otte, Marie-Luise
Schmitgen, Mike M.
Kubera, Katharina M.
Wolf, Nadine D.
Fritze, Stefan
Geiger, Lena S.
Tost, Heike
Seidl, Ulrich W.
Meyer-Lindenberg, Andreas
Hirjak, Dusan
Wolf, Robert C.
author_sort Otte, Marie-Luise
collection PubMed
description Insight into illness in schizophrenia (SZ) patients has a major impact on treatment adherence and outcome. Previous studies have linked distinct deviations of brain structure to illness insight, specifically in frontoparietal and subcortical regions. Some of these abnormalities are thought to reflect aberrant cortical development. In this study, we used cross-sectional data to examine associations between illness insight and two cortical surface markers that are known to follow distinct neurodevelopmental trajectories, i.e. cortical gyrification (CG) and thickness (CT). CG and CT was investigated in SZ patients (n = 82) and healthy controls (HC, n = 48) using 3 T structural magnetic resonance imaging. Illness insight in SZ patients was measured using the OSSTI scale, an instrument that provides information on two distinct dimensions of illness insight, i.e. treatment adherence (OSSTI-A) and identification of disease-related symptoms (OSSTI-I). CT and CG were computed using the Computational Anatomy Toolbox (CAT12). Whole-brain and regions-of-interest (ROI)-based analyses were performed. SZ patients showed higher CG in anterior cingulate, superior frontal and temporal gyrus and reduced CG in insular and superior frontal cortex when compared to HC. SZ patients showed decreased CT in pre- and paracentral, occipital, cingulate, frontoparietal and temporal regions. Illness insight in SZ patients was significantly associated with both CG and CT in the left inferior parietal lobule (OSSTI-A) and the right precentral gyrus (CG/OSSTI-A, CT/OSSTI-I). The data support a multi-parametric neuronal model with both pre- and postnatal brain developmental factors having an impact on illness insight in patients with SZ. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00406-021-01328-x.
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spelling pubmed-93884502022-08-20 Cortical morphology and illness insight in patients with schizophrenia Otte, Marie-Luise Schmitgen, Mike M. Kubera, Katharina M. Wolf, Nadine D. Fritze, Stefan Geiger, Lena S. Tost, Heike Seidl, Ulrich W. Meyer-Lindenberg, Andreas Hirjak, Dusan Wolf, Robert C. Eur Arch Psychiatry Clin Neurosci Original Paper Insight into illness in schizophrenia (SZ) patients has a major impact on treatment adherence and outcome. Previous studies have linked distinct deviations of brain structure to illness insight, specifically in frontoparietal and subcortical regions. Some of these abnormalities are thought to reflect aberrant cortical development. In this study, we used cross-sectional data to examine associations between illness insight and two cortical surface markers that are known to follow distinct neurodevelopmental trajectories, i.e. cortical gyrification (CG) and thickness (CT). CG and CT was investigated in SZ patients (n = 82) and healthy controls (HC, n = 48) using 3 T structural magnetic resonance imaging. Illness insight in SZ patients was measured using the OSSTI scale, an instrument that provides information on two distinct dimensions of illness insight, i.e. treatment adherence (OSSTI-A) and identification of disease-related symptoms (OSSTI-I). CT and CG were computed using the Computational Anatomy Toolbox (CAT12). Whole-brain and regions-of-interest (ROI)-based analyses were performed. SZ patients showed higher CG in anterior cingulate, superior frontal and temporal gyrus and reduced CG in insular and superior frontal cortex when compared to HC. SZ patients showed decreased CT in pre- and paracentral, occipital, cingulate, frontoparietal and temporal regions. Illness insight in SZ patients was significantly associated with both CG and CT in the left inferior parietal lobule (OSSTI-A) and the right precentral gyrus (CG/OSSTI-A, CT/OSSTI-I). The data support a multi-parametric neuronal model with both pre- and postnatal brain developmental factors having an impact on illness insight in patients with SZ. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00406-021-01328-x. Springer Berlin Heidelberg 2021-09-13 2022 /pmc/articles/PMC9388450/ /pubmed/34518921 http://dx.doi.org/10.1007/s00406-021-01328-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Paper
Otte, Marie-Luise
Schmitgen, Mike M.
Kubera, Katharina M.
Wolf, Nadine D.
Fritze, Stefan
Geiger, Lena S.
Tost, Heike
Seidl, Ulrich W.
Meyer-Lindenberg, Andreas
Hirjak, Dusan
Wolf, Robert C.
Cortical morphology and illness insight in patients with schizophrenia
title Cortical morphology and illness insight in patients with schizophrenia
title_full Cortical morphology and illness insight in patients with schizophrenia
title_fullStr Cortical morphology and illness insight in patients with schizophrenia
title_full_unstemmed Cortical morphology and illness insight in patients with schizophrenia
title_short Cortical morphology and illness insight in patients with schizophrenia
title_sort cortical morphology and illness insight in patients with schizophrenia
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388450/
https://www.ncbi.nlm.nih.gov/pubmed/34518921
http://dx.doi.org/10.1007/s00406-021-01328-x
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