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Clustering of cognitive subtypes in schizophrenia patients and their siblings: relationship with regional brain volumes

Schizophrenia patients (SZH) often show impaired cognition and reduced brain structural volumes; these deficits are also detectable in healthy relatives of SZH. However, there is considerable heterogeneity: a sizable percentage of SZH are relatively cognitively intact; clustering strategies have pro...

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Autores principales: Alkan, Erkan, Evans, Simon L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9261107/
https://www.ncbi.nlm.nih.gov/pubmed/35853888
http://dx.doi.org/10.1038/s41537-022-00242-y
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author Alkan, Erkan
Evans, Simon L.
author_facet Alkan, Erkan
Evans, Simon L.
author_sort Alkan, Erkan
collection PubMed
description Schizophrenia patients (SZH) often show impaired cognition and reduced brain structural volumes; these deficits are also detectable in healthy relatives of SZH. However, there is considerable heterogeneity: a sizable percentage of SZH are relatively cognitively intact; clustering strategies have proved useful for categorising into cognitive subgroups. We used a clustering strategy to investigate relationships between subgroup assignment and brain volumes, in 102 SZH (N = 102) and 32 siblings of SZH (SZH-SIB), alongside 92 controls (CON) and 48 of their siblings. SZH had poorer performance in all cognitive domains, and smaller brain volumes within prefrontal and temporal regions compared to controls. We identified three distinct cognitive clusters (‘neuropsychologically normal’, ‘intermediate’, ‘cognitively impaired’) based on age- and gender-adjusted cognitive domain scores. The majority of SZH (60.8%) were assigned to the cognitively impaired cluster, while the majority of SZH-SIB (65.6%) were placed in the intermediate cluster. Greater right middle temporal volume distinguished the normal cluster from the more impaired clusters. Importantly, the observed brain volume differences between SZH and controls disappeared after adjustment for cluster assignment. This suggests an intimate link between cognitive performance levels and regional brain volume differences in SZH. This highlights the importance of accounting for heterogeneity in cognitive performance within SZH populations when attempting to characterise the brain structural abnormalities associated with the disease.
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spelling pubmed-92611072022-07-13 Clustering of cognitive subtypes in schizophrenia patients and their siblings: relationship with regional brain volumes Alkan, Erkan Evans, Simon L. Schizophrenia (Heidelb) Article Schizophrenia patients (SZH) often show impaired cognition and reduced brain structural volumes; these deficits are also detectable in healthy relatives of SZH. However, there is considerable heterogeneity: a sizable percentage of SZH are relatively cognitively intact; clustering strategies have proved useful for categorising into cognitive subgroups. We used a clustering strategy to investigate relationships between subgroup assignment and brain volumes, in 102 SZH (N = 102) and 32 siblings of SZH (SZH-SIB), alongside 92 controls (CON) and 48 of their siblings. SZH had poorer performance in all cognitive domains, and smaller brain volumes within prefrontal and temporal regions compared to controls. We identified three distinct cognitive clusters (‘neuropsychologically normal’, ‘intermediate’, ‘cognitively impaired’) based on age- and gender-adjusted cognitive domain scores. The majority of SZH (60.8%) were assigned to the cognitively impaired cluster, while the majority of SZH-SIB (65.6%) were placed in the intermediate cluster. Greater right middle temporal volume distinguished the normal cluster from the more impaired clusters. Importantly, the observed brain volume differences between SZH and controls disappeared after adjustment for cluster assignment. This suggests an intimate link between cognitive performance levels and regional brain volume differences in SZH. This highlights the importance of accounting for heterogeneity in cognitive performance within SZH populations when attempting to characterise the brain structural abnormalities associated with the disease. Nature Publishing Group UK 2022-05-09 /pmc/articles/PMC9261107/ /pubmed/35853888 http://dx.doi.org/10.1038/s41537-022-00242-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Alkan, Erkan
Evans, Simon L.
Clustering of cognitive subtypes in schizophrenia patients and their siblings: relationship with regional brain volumes
title Clustering of cognitive subtypes in schizophrenia patients and their siblings: relationship with regional brain volumes
title_full Clustering of cognitive subtypes in schizophrenia patients and their siblings: relationship with regional brain volumes
title_fullStr Clustering of cognitive subtypes in schizophrenia patients and their siblings: relationship with regional brain volumes
title_full_unstemmed Clustering of cognitive subtypes in schizophrenia patients and their siblings: relationship with regional brain volumes
title_short Clustering of cognitive subtypes in schizophrenia patients and their siblings: relationship with regional brain volumes
title_sort clustering of cognitive subtypes in schizophrenia patients and their siblings: relationship with regional brain volumes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9261107/
https://www.ncbi.nlm.nih.gov/pubmed/35853888
http://dx.doi.org/10.1038/s41537-022-00242-y
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