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Clinical and cortical similarities identified between bipolar disorder I and schizophrenia: A multivariate approach.
Rootes-Murdy, Kelly; Edmond, Jesse T; Jiang, Wenhao; Rahaman, Md A; Chen, Jiayu; Perrone-Bizzozero, Nora I; Calhoun, Vince D; van Erp, Theo G M; Ehrlich, Stefan; Agartz, Ingrid; Jönsson, Erik G; Andreassen, Ole A; Westlye, Lars T; Wang, Lei; Pearlson, Godfrey D; Glahn, David C; Hong, Elliot; Buchanan, Robert W; Kochunov, Peter; Voineskos, Aristotle; Malhotra, Anil; Tamminga, Carol A; Liu, Jingyu; Turner, Jessica A.
Afiliação
  • Rootes-Murdy K; Department of Psychology, Georgia State University, Atlanta, GA, United States.
  • Edmond JT; 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.
  • Jiang W; Department of Psychology, Georgia State University, Atlanta, GA, United States.
  • Rahaman MA; 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.
  • Chen J; Department of Psychosomatics and Psychiatry, Medical School, Zhongda Hospital, Institute of Psychosomatics, Southeast University, Nanjing, China.
  • Perrone-Bizzozero NI; 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.
  • Calhoun VD; 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.
  • van Erp TGM; Department of Neurosciences, University of New Mexico, Albuquerque, NM, United States.
  • Ehrlich S; Department of Psychology, Georgia State University, Atlanta, GA, United States.
  • Agartz I; 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.
  • Jönsson EG; Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, United States.
  • Andreassen OA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, United States.
  • Westlye LT; Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Dresden, Germany.
  • Wang L; 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.
  • Pearlson GD; Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institute and Stockholm Health Care Services, Stockholm, Sweden.
  • Glahn DC; K. G. Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway.
  • Hong E; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway.
  • Buchanan RW; 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.
  • Kochunov P; Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institute and Stockholm Health Care Services, Stockholm, Sweden.
  • Voineskos A; 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.
  • Malhotra A; K. G. Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway.
  • Tamminga CA; 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.
  • Liu J; K. G. Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway.
  • Turner JA; Department of Psychology, University of Oslo, Oslo, Norway.
Front Hum Neurosci ; 16: 1001692, 2022.
Article em En | MEDLINE | ID: mdl-36438633
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. 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.

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.

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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Hum Neurosci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Hum Neurosci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos