Publications by authors named "D Wotruba"

Background: Widespread white matter abnormalities are a frequent finding in chronic schizophrenia patients. More inconsistent results have been provided by the sparser literature on at-risk states for psychosis, i.e.

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Article Synopsis
  • Early detection of psychosis symptoms could lead to better health outcomes, and understanding genetic susceptibility using polygenic risk scores (PRSs) can assist in early intervention strategies.
  • The study computed PRSs for schizophrenia and bipolar disorder using advanced statistical methods and analyzed data from diverse clinical and healthy groups to assess the scores' effectiveness in predicting mental health conditions.
  • Significant differences in genetic risk scores were found between control and at-risk or clinical groups, supporting the notion of a continuum of psychosis symptoms that require further clinical attention and research for better diagnostic accuracy.
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Background: Between unaffected mental health and diagnosable psychiatric disorders, there is a vast continuum of functioning. The hypothesized link between striatal dopamine signaling and psychosis has guided a prolific body of research. However, it has been understudied in the context of multiple interacting factors, subclinical phenotypes, and pre-postsynaptic dynamics.

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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.

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Emerging evidence has attributed altered network coordination between the default mode, central executive, and salience networks (DMN/CEN/SAL) to disturbances seen in schizophrenia, but little is known for at-risk psychosis stages. Moreover, pinpointing impairments in specific network-to-network interactions, although essential to resolve possibly distinct harbingers of conversion to clinically diagnosed schizophrenia, remains particularly challenging. We addressed this by a dynamic approach to functional connectivity, where right anterior insula brain interactions were examined through co-activation pattern (CAP) analysis.

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