Frontiers in Human Neuroscience (Nov 2022)
Clinical and cortical similarities identified between bipolar disorder I and schizophrenia: A multivariate approach
- Kelly Rootes-Murdy,
- Kelly Rootes-Murdy,
- Jesse T. Edmond,
- Jesse T. Edmond,
- Wenhao Jiang,
- Md A. Rahaman,
- Jiayu Chen,
- Nora I. Perrone-Bizzozero,
- Vince D. Calhoun,
- Vince D. Calhoun,
- Theo G. M. van Erp,
- Theo G. M. van Erp,
- Stefan Ehrlich,
- Ingrid Agartz,
- Ingrid Agartz,
- Ingrid Agartz,
- Ingrid Agartz,
- Erik G. Jönsson,
- Erik G. Jönsson,
- Ole A. Andreassen,
- Ole A. Andreassen,
- Lars T. Westlye,
- Lars T. Westlye,
- Lars T. Westlye,
- Lei Wang,
- Godfrey D. Pearlson,
- Godfrey D. Pearlson,
- David C. Glahn,
- David C. Glahn,
- Elliot Hong,
- Robert W. Buchanan,
- Peter Kochunov,
- Aristotle Voineskos,
- Anil Malhotra,
- Carol A. Tamminga,
- Jingyu Liu,
- Jessica A. Turner
Affiliations
- Kelly Rootes-Murdy
- Department of Psychology, Georgia State University, Atlanta, GA, United States
- Kelly Rootes-Murdy
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, United States
- Jesse T. Edmond
- Department of Psychology, Georgia State University, Atlanta, GA, United States
- Jesse T. Edmond
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, United States
- Wenhao Jiang
- Department of Psychosomatics and Psychiatry, Medical School, Zhongda Hospital, Institute of Psychosomatics, Southeast University, Nanjing, China
- Md A. Rahaman
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, United States
- Jiayu Chen
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, United States
- Nora I. Perrone-Bizzozero
- Department of Neurosciences, University of New Mexico, Albuquerque, NM, United States
- Vince D. Calhoun
- Department of Psychology, Georgia State University, Atlanta, GA, United States
- Vince D. Calhoun
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, United States
- Theo G. M. van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, United States
- Theo G. M. van Erp
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, United States
- Stefan Ehrlich
- Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Dresden, Germany
- Ingrid Agartz
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo, Norway
- Ingrid Agartz
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institute and Stockholm Health Care Services, Stockholm, Sweden
- Ingrid Agartz
- 0K. G. Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
- Ingrid Agartz
- 1Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Erik G. Jönsson
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo, Norway
- Erik G. Jönsson
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institute and Stockholm Health Care Services, Stockholm, Sweden
- Ole A. Andreassen
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo, Norway
- Ole A. Andreassen
- 0K. G. Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
- Lars T. Westlye
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo, Norway
- Lars T. Westlye
- 0K. G. Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
- Lars T. Westlye
- 2Department of Psychology, University of Oslo, Oslo, Norway
- Lei Wang
- 3Psychiatry and Behavioral Health, Ohio State Wexner Medical Center, Columbus, OH, United States
- Godfrey D. Pearlson
- 4Department of Psychiatry, Yale University, New Haven, CT, United States
- Godfrey D. Pearlson
- 5Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, CT, United States
- David C. Glahn
- 5Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, CT, United States
- David C. Glahn
- 6Boston Children’s Hospital and Harvard Medical School, Boston, MA, United States
- Elliot Hong
- 7Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD, United States
- Robert W. Buchanan
- 7Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD, United States
- Peter Kochunov
- 7Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD, United States
- Aristotle Voineskos
- 8Department of Psychiatry, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada
- Anil Malhotra
- 9Division of Psychiatry Research, Zucker Hillside Hospital, Queens, NY, United States
- Carol A. Tamminga
- 0Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, TX, United States
- Jingyu Liu
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, United States
- Jessica A. Turner
- 3Psychiatry and Behavioral Health, Ohio State Wexner Medical Center, Columbus, OH, United States
- DOI
- https://doi.org/10.3389/fnhum.2022.1001692
- Journal volume & issue
-
Vol. 16
Abstract
BackgroundStructural 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.Materials and methodsWe 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.ResultsComponent 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.ConclusionThese 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.
Keywords
