Proposal for a Novel Classification of Patients With Enlarged Ventricles and Cognitive Impairment Based on Data-Driven Analysis of Neuroimaging Results in Patients With Psychiatric Disorders
- PMID: 40011069
- PMCID: PMC11864853
- DOI: 10.1002/npr2.70010
Proposal for a Novel Classification of Patients With Enlarged Ventricles and Cognitive Impairment Based on Data-Driven Analysis of Neuroimaging Results in Patients With Psychiatric Disorders
Abstract
One of the challenges in diagnosing psychiatric disorders is that the results of biological and neuroscience research are not reflected in the diagnostic criteria. Thus, data-driven analyses incorporating biological and cross-disease perspectives, regardless of the diagnostic category, have recently been proposed. A data-driven clustering study based on subcortical volumes in 5604 subjects classified into four brain biotypes associated with cognitive/social functioning. Among the four brain biotypes identified in controls and patients with schizophrenia, bipolar disorder, major depressive disorder, autism spectrum disorder, and other psychiatric disorders, we further analyzed the brain biotype 1 subjects, those with an extremely small limbic region, for clinical utility. We found that the representative feature of brain biotype 1 is enlarged lateral ventricles. An enlarged ventricle, defined by an average z-score of left and right lateral ventricle volumes > 3, had a sensitivity of 99.1% and a specificity of 98.1% for discriminating brain biotype 1. However, the presence of an enlarged ventricle was not sufficient to classify patient subgroups, as 1% of the controls also had enlarged ventricles. Reclassification of patients with enlarged ventricles according to cognitive impairment resulted in a stratified subgroup that included patients with a high proportion of schizophrenia diagnoses, electroencephalography abnormalities, and rare pathological genetic copy number variations. Data-driven clustering analysis of neuroimaging data revealed subgroups with enlarged ventricles and cognitive impairment. This subgroup could be a new diagnostic candidate for psychiatric disorders. This concept and strategy may be useful for identifying biologically defined psychiatric disorders in the future.
Keywords: cognitive impairment; copy number variation; data‐driven analysis; enlarged ventricles; schizophrenia.
© 2025 The Author(s). Neuropsychopharmacology Reports published by John Wiley & Sons Australia, Ltd on behalf of The Japanese Society of Neuropsychopharmacology.
Conflict of interest statement
Kazutaka Ohi and Reiji Yoshimura are editorial board members of Neuropsychopharmacology Reports and co‐authors of this article. To minimize bias, they were excluded from all editorial decision‐making related to the acceptance of this article for publication. Except for that, no potential conflicts of interest relevant to this article was reported.
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Grants and funding
- 18-IMS-C162/The computation was performed using Research Center for Computational Science, Okazaki, Japan (Project: NIPS)
- 19-IMS-C181/The computation was performed using Research Center for Computational Science, Okazaki, Japan (Project: NIPS)
- 20-IMS-C162/The computation was performed using Research Center for Computational Science, Okazaki, Japan (Project: NIPS)
- 21-IMS-C179/The computation was performed using Research Center for Computational Science, Okazaki, Japan (Project: NIPS)
- 22-IMS-C195/The computation was performed using Research Center for Computational Science, Okazaki, Japan (Project: NIPS)
- UTokyo Institute for Diversity and Adaptation of Human Mind (UTIDAHM, KK)
- JP18K07550/Japan Society for the Promotion of Science
- JP19H05467/Japan Society for the Promotion of Science
- JP20H03611/Japan Society for the Promotion of Science
- JP20K06920/Japan Society for the Promotion of Science
- JP20KK0193/Japan Society for the Promotion of Science
- JP21H00194/Japan Society for the Promotion of Science
- JP21H02851/Japan Society for the Promotion of Science
- JP21H05171/Japan Society for the Promotion of Science
- JP21H05174/Japan Society for the Promotion of Science
- JP21K07543/Japan Society for the Promotion of Science
- JP22H04926/Japan Society for the Promotion of Science
- JP23H00395/Japan Society for the Promotion of Science
- JP23H02834/Japan Society for the Promotion of Science
- JP23K07001/Japan Society for the Promotion of Science
- National Institute for Physiological Sciences
- JPMJMS2021/Moonshot Research and Development Program
- 2019 SIRS Research Fund Award
- the International Research Center for Neurointelligence (WPI-IRCN) at The University of Tokyo Institutes for Advanced Study (UTIAS, KK)
- Intramural Research Grant (3-1, 4-6) for Neurological and Psychiatric Disorders of NCNP
- JP18dm0307002/Japan Agency for Medical Research and Development
- JP19dm0207069/Japan Agency for Medical Research and Development
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