Psychopathological Syndromes Across Affective and Psychotic Disorders Correlate With Gray Matter Volumes. (16th April 2021)
- Record Type:
- Journal Article
- Title:
- Psychopathological Syndromes Across Affective and Psychotic Disorders Correlate With Gray Matter Volumes. (16th April 2021)
- Main Title:
- Psychopathological Syndromes Across Affective and Psychotic Disorders Correlate With Gray Matter Volumes
- Authors:
- Stein, Frederike
Meller, Tina
Brosch, Katharina
Schmitt, Simon
Ringwald, Kai
Pfarr, Julia Katharina
Meinert, Susanne
Thiel, Katharina
Lemke, Hannah
Waltemate, Lena
Grotegerd, Dominik
Opel, Nils
Jansen, Andreas
Nenadić, Igor
Dannlowski, Udo
Krug, Axel
Kircher, Tilo - Abstract:
- Abstract: Introduction: More than a century of research on the neurobiological underpinnings of major psychiatric disorders (major depressive disorder [MDD], bipolar disorder [BD], schizophrenia [SZ], and schizoaffective disorder [SZA]) has been unable to identify diagnostic markers. An alternative approach is to study dimensional psychopathological syndromes that cut across categorical diagnoses. The aim of the current study was to identify gray matter volume (GMV) correlates of transdiagnostic symptom dimensions. Methods: We tested the association of 5 psychopathological factors with GMV using multiple regression models in a sample of N = 1069 patients meeting Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria for MDD ( n = 818), BD ( n = 132), and SZ/SZA ( n = 119). T1-weighted brain images were acquired with 3-Tesla magnetic resonance imaging and preprocessed with CAT12. Interactions analyses (diagnosis × psychopathological factor) were performed to test whether local GMV associations were driven by DSM-IV diagnosis. We further tested syndrome specific regions of interest (ROIs). Results: Whole brain analysis showed a significant negative association of the positive formal thought disorder factor with GMV in the right middle frontal gyrus, the paranoid-hallucinatory syndrome in the right fusiform, and the left middle frontal gyri. ROI analyses further showed additional negative associations, including the negative syndrome withAbstract: Introduction: More than a century of research on the neurobiological underpinnings of major psychiatric disorders (major depressive disorder [MDD], bipolar disorder [BD], schizophrenia [SZ], and schizoaffective disorder [SZA]) has been unable to identify diagnostic markers. An alternative approach is to study dimensional psychopathological syndromes that cut across categorical diagnoses. The aim of the current study was to identify gray matter volume (GMV) correlates of transdiagnostic symptom dimensions. Methods: We tested the association of 5 psychopathological factors with GMV using multiple regression models in a sample of N = 1069 patients meeting Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria for MDD ( n = 818), BD ( n = 132), and SZ/SZA ( n = 119). T1-weighted brain images were acquired with 3-Tesla magnetic resonance imaging and preprocessed with CAT12. Interactions analyses (diagnosis × psychopathological factor) were performed to test whether local GMV associations were driven by DSM-IV diagnosis. We further tested syndrome specific regions of interest (ROIs). Results: Whole brain analysis showed a significant negative association of the positive formal thought disorder factor with GMV in the right middle frontal gyrus, the paranoid-hallucinatory syndrome in the right fusiform, and the left middle frontal gyri. ROI analyses further showed additional negative associations, including the negative syndrome with bilateral frontal opercula, positive formal thought disorder with the left amygdala-hippocampus complex, and the paranoid-hallucinatory syndrome with the left angular gyrus. None of the GMV associations interacted with DSM-IV diagnosis. Conclusions: We found associations between psychopathological syndromes and regional GMV independent of diagnosis. Our findings open a new avenue for neurobiological research across disorders, using syndrome-based approaches rather than categorical diagnoses. … (more)
- Is Part Of:
- Schizophrenia bulletin. Volume 47:Number 6(2021)
- Journal:
- Schizophrenia bulletin
- Issue:
- Volume 47:Number 6(2021)
- Issue Display:
- Volume 47, Issue 6 (2021)
- Year:
- 2021
- Volume:
- 47
- Issue:
- 6
- Issue Sort Value:
- 2021-0047-0006-0000
- Page Start:
- 1740
- Page End:
- 1750
- Publication Date:
- 2021-04-16
- Subjects:
- voxel-based morphometry -- transdiagnostic -- dimensional -- major psychiatric disorders
Schizophrenia -- Periodicals
Schizophrenia -- Research -- Periodicals
616.898005 - Journal URLs:
- http://schizophreniabulletin.oxfordjournals.org ↗
http://schizophreniabulletin.oxfordjournals.org/archive ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/schbul/sbab037 ↗
- Languages:
- English
- ISSNs:
- 0586-7614
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8089.400000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19699.xml