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Clinical and cortical similarities identified between bipolar disorder I and schizophrenia: A multivariate approach.

Authors :
Rootes-Murdy K
Edmond JT
Jiang W
Rahaman MA
Chen J
Perrone-Bizzozero NI
Calhoun VD
van Erp TGM
Ehrlich S
Agartz I
Jönsson EG
Andreassen OA
Westlye LT
Wang L
Pearlson GD
Glahn DC
Hong E
Buchanan RW
Kochunov P
Voineskos A
Malhotra A
Tamminga CA
Liu J
Turner JA
Source :
Frontiers in human neuroscience [Front Hum Neurosci] 2022 Nov 10; Vol. 16, pp. 1001692. Date of Electronic Publication: 2022 Nov 10 (Print Publication: 2022).
Publication Year :
2022

Abstract

Background: Structural neuroimaging studies have identified similarities in the brains of individuals diagnosed with schizophrenia (SZ) and bipolar I disorder (BP), with overlap in regions of gray matter (GM) deficits between the two disorders. Recent studies have also shown that the symptom phenotypes associated with SZ and BP may allow for a more precise categorization than the current diagnostic criteria. In this study, we sought to identify GM alterations that were unique to each disorder and whether those alterations were also related to unique symptom profiles.<br />Materials and Methods: We analyzed the GM patterns and clinical symptom presentations using independent component analysis (ICA), hierarchical clustering, and n-way biclustering in a large ( N ∼ 3,000), merged dataset of neuroimaging data from healthy volunteers (HV), and individuals with either SZ or BP.<br />Results: Component A showed a SZ and BP < HV GM pattern in the bilateral insula and cingulate gyrus. Component B showed a SZ and BP < HV GM pattern in the cerebellum and vermis. There were no significant differences between diagnostic groups in these components. Component C showed a SZ < HV and BP GM pattern bilaterally in the temporal poles. Hierarchical clustering of the PANSS scores and the ICA components did not yield new subgroups. N-way biclustering identified three unique subgroups of individuals within the sample that mapped onto different combinations of ICA components and symptom profiles categorized by the PANSS but no distinct diagnostic group differences.<br />Conclusion: These multivariate results show that diagnostic boundaries are not clearly related to structural differences or distinct symptom profiles. Our findings add support that (1) BP tend to have less severe symptom profiles when compared to SZ on the PANSS without a clear distinction, and (2) all the gray matter alterations follow the pattern of SZ < BP < HV without a clear distinction between SZ and BP.<br />Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2022 Rootes-Murdy, Edmond, Jiang, Rahaman, Chen, Perrone-Bizzozero, Calhoun, van Erp, Ehrlich, Agartz, Jönsson, Andreassen, Westlye, Wang, Pearlson, Glahn, Hong, Buchanan, Kochunov, Voineskos, Malhotra, Tamminga, Liu and Turner.)

Details

Language :
English
ISSN :
1662-5161
Volume :
16
Database :
MEDLINE
Journal :
Frontiers in human neuroscience
Publication Type :
Academic Journal
Accession number :
36438633
Full Text :
https://doi.org/10.3389/fnhum.2022.1001692