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Dissociation between neuroanatomical and symptomatic subtypes in schizophrenia
BACKGROUND: Schizophrenia is a complex and heterogeneous syndrome with high clinical and biological stratification. Identifying distinctive subtypes can improve diagnostic accuracy and help precise therapy. A key challenge for schizophrenia subtyping is understanding the subtype-specific biological...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594537/ https://www.ncbi.nlm.nih.gov/pubmed/37702075 http://dx.doi.org/10.1192/j.eurpsy.2023.2446 |
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author | Chai, Chao Ding, Hao Du, Xiaotong Xie, Yingying Man, Weiqi Zhang, Yu Ji, Yi Liang, Meng Zhang, Bin Ning, Yuping Zhuo, Chuanjun Yu, Chunshui Qin, Wen |
author_facet | Chai, Chao Ding, Hao Du, Xiaotong Xie, Yingying Man, Weiqi Zhang, Yu Ji, Yi Liang, Meng Zhang, Bin Ning, Yuping Zhuo, Chuanjun Yu, Chunshui Qin, Wen |
author_sort | Chai, Chao |
collection | PubMed |
description | BACKGROUND: Schizophrenia is a complex and heterogeneous syndrome with high clinical and biological stratification. Identifying distinctive subtypes can improve diagnostic accuracy and help precise therapy. A key challenge for schizophrenia subtyping is understanding the subtype-specific biological underpinnings of clinical heterogeneity. This study aimed to investigate if the machine learning (ML)-based neuroanatomical and symptomatic subtypes of schizophrenia are associated. METHODS: A total of 314 schizophrenia patients and 257 healthy controls from four sites were recruited. Gray matter volume (GMV) and Positive and Negative Syndrome Scale (PANSS) scores were employed to recognize schizophrenia neuroanatomical and symptomatic subtypes using K-means and hierarchical methods, respectively. RESULTS: Patients with ML-based neuroanatomical subtype-1 had focally increased GMV, and subtype-2 had widespread reduced GMV than the healthy controls based on either K-means or Hierarchical methods. In contrast, patients with symptomatic subtype-1 had severe PANSS scores than subtype-2. No differences in PANSS scores were shown between the two neuroanatomical subtypes; similarly, no GMV differences were found between the two symptomatic subtypes. Cohen’s Kappa test further demonstrated an apparent dissociation between the ML-based neuroanatomical and symptomatic subtypes (P > 0.05). The dissociation patterns were validated in four independent sites with diverse disease progressions (chronic vs. first episodes) and ancestors (Chinese vs. Western). CONCLUSIONS: These findings revealed a replicable dissociation between ML-based neuroanatomical and symptomatic subtypes of schizophrenia, which provides a new viewpoint toward understanding the heterogeneity of schizophrenia. |
format | Online Article Text |
id | pubmed-10594537 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105945372023-10-25 Dissociation between neuroanatomical and symptomatic subtypes in schizophrenia Chai, Chao Ding, Hao Du, Xiaotong Xie, Yingying Man, Weiqi Zhang, Yu Ji, Yi Liang, Meng Zhang, Bin Ning, Yuping Zhuo, Chuanjun Yu, Chunshui Qin, Wen Eur Psychiatry Research Article BACKGROUND: Schizophrenia is a complex and heterogeneous syndrome with high clinical and biological stratification. Identifying distinctive subtypes can improve diagnostic accuracy and help precise therapy. A key challenge for schizophrenia subtyping is understanding the subtype-specific biological underpinnings of clinical heterogeneity. This study aimed to investigate if the machine learning (ML)-based neuroanatomical and symptomatic subtypes of schizophrenia are associated. METHODS: A total of 314 schizophrenia patients and 257 healthy controls from four sites were recruited. Gray matter volume (GMV) and Positive and Negative Syndrome Scale (PANSS) scores were employed to recognize schizophrenia neuroanatomical and symptomatic subtypes using K-means and hierarchical methods, respectively. RESULTS: Patients with ML-based neuroanatomical subtype-1 had focally increased GMV, and subtype-2 had widespread reduced GMV than the healthy controls based on either K-means or Hierarchical methods. In contrast, patients with symptomatic subtype-1 had severe PANSS scores than subtype-2. No differences in PANSS scores were shown between the two neuroanatomical subtypes; similarly, no GMV differences were found between the two symptomatic subtypes. Cohen’s Kappa test further demonstrated an apparent dissociation between the ML-based neuroanatomical and symptomatic subtypes (P > 0.05). The dissociation patterns were validated in four independent sites with diverse disease progressions (chronic vs. first episodes) and ancestors (Chinese vs. Western). CONCLUSIONS: These findings revealed a replicable dissociation between ML-based neuroanatomical and symptomatic subtypes of schizophrenia, which provides a new viewpoint toward understanding the heterogeneity of schizophrenia. Cambridge University Press 2023-09-13 /pmc/articles/PMC10594537/ /pubmed/37702075 http://dx.doi.org/10.1192/j.eurpsy.2023.2446 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc-sa/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike licence (http://creativecommons.org/licenses/by-nc-sa/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the same Creative Commons licence is used to distribute the re-used or adapted article and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use. |
spellingShingle | Research Article Chai, Chao Ding, Hao Du, Xiaotong Xie, Yingying Man, Weiqi Zhang, Yu Ji, Yi Liang, Meng Zhang, Bin Ning, Yuping Zhuo, Chuanjun Yu, Chunshui Qin, Wen Dissociation between neuroanatomical and symptomatic subtypes in schizophrenia |
title | Dissociation between neuroanatomical and symptomatic subtypes in schizophrenia |
title_full | Dissociation between neuroanatomical and symptomatic subtypes in schizophrenia |
title_fullStr | Dissociation between neuroanatomical and symptomatic subtypes in schizophrenia |
title_full_unstemmed | Dissociation between neuroanatomical and symptomatic subtypes in schizophrenia |
title_short | Dissociation between neuroanatomical and symptomatic subtypes in schizophrenia |
title_sort | dissociation between neuroanatomical and symptomatic subtypes in schizophrenia |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594537/ https://www.ncbi.nlm.nih.gov/pubmed/37702075 http://dx.doi.org/10.1192/j.eurpsy.2023.2446 |
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