Cortical Volume Differences in Subjects at Risk for Psychosis Are Driven by Surface Area

Author:

Buechler Roman12,Wotruba Diana12,Michels Lars2,Theodoridou Anastasia13,Metzler Sibylle1,Walitza Susanne4,Hänggi Jürgen5,Kollias Spyros2,Rössler Wulf16,Heekeren Karsten137

Affiliation:

1. The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), University Hospital of Psychiatry Zurich, Zurich, Switzerland

2. Department of Neuroradiology, University Hospital of Zurich, Zurich, Switzerland

3. Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry Zurich, Zurich, Switzerland

4. Department of Child and Adolescent Psychiatry, University of Zurich, Zurich, Switzerland

5. Department of Psychology, Division of Neuropsychology, University of Zurich, Zurich, Switzerland

6. Laboratory of Neuroscience (LIM-27), Institute of Psychiatry, University of Sao Paulo, Sao Paulo, Brazil

7. Department of Psychiatry and Psychotherapy I, LVR-Hospital, Cologne, Germany

Abstract

Abstract In subjects at risk for psychosis, the studies on gray matter volume (GMV) predominantly reported volume loss compared with healthy controls (CON). However, other important morphological measurements such as cortical surface area (CSA) and cortical thickness (CT) were not systematically compared. So far, samples mostly comprised subjects at genetic risk or at clinical risk fulfilling an ultra-high risk (UHR) criterion. No studies comparing UHR subjects with at-risk subjects showing only basic symptoms (BS) investigated the differences in CSA or CT. Therefore, we aimed to unravel the contribution of the 2 morphometrical measures constituting the cortical volume (CV) and to test whether these groups inhere different morphometric features. We conducted a surface-based morphometric analysis in 34 CON, 46 BS, and 39 UHR to examine between-group differences in CV, CSA, and CT vertex-wise across the whole cortex. Compared with BS and CON, UHR individuals presented increased CV in frontal and parietal regions, which was driven by larger CSA. These groups did not differ in CT. Yet, at-risk subjects who later developed schizophrenia showed thinning in the occipital cortex. Furthermore, BS presented increased CSA compared with CON. Our results suggest that volumetric differences in UHR subjects are driven by CSA while CV loss in converters seems to be based on cortical thinning. We attribute the larger CSA in UHR to aberrant pruning representing a vulnerability to develop psychotic symptoms reflected in different levels of vulnerability for BS and UHR, and cortical thinning to a presumably stress-related cortical decomposition.

Funder

Zurich Program for Sustainable Development of Mental Health Services

Publisher

Oxford University Press (OUP)

Subject

Psychiatry and Mental health

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