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Published on: December 2, 2015
Sex-Specific Cortical Brain Differences in Children at Familial High Risk for Schizophrenia or Bipolar Disorder
Kathrine Skak Madsen1, William F C Baaré1, Enedino Hernandez-Torres1
1Danish Research Centre for Magnetic Resonance, Department of Radiology and Nuclear Medicine, Copenhagen University Hospital-Amager and Hvidovre, Hvidovre, Denmark.
Children at familial high risk (FHR) for schizophrenia (SZ) or bipolar disorder (BP) show sex-specific brain differences. Males at FHR-SZ had smaller brain volumes, while females at FHR-BP had larger volumes compared to controls.
Area of Science:
- Neuroscience
- Psychiatry
- Genetics
Background:
- Familial high risk (FHR) is the strongest predictor for schizophrenia (SZ) and bipolar disorder (BP).
- Children at FHR offer a unique window to identify early brain markers of vulnerability.
- Sex-specific brain developmental trajectories necessitate investigation of sex differences in FHR populations.
Purpose of the Study:
- To investigate sex-specific group differences in brain morphometry among 11-12-year-old children at FHR-SZ or FHR-BP.
- To identify potential sex-specific endophenotypic markers of risk for SZ and BP.
- To highlight the importance of considering sex in neurodevelopmental psychiatric research.
Main Methods:
- Included 278 children: 101 FHR-SZ, 64 FHR-BP, and 113 population-based controls (PBCs).
- Structural MRI scans were acquired on 3T scanners.
- Brain volume, cortical volume, surface area, and cortical thickness were extracted using FreeSurfer.
Main Results:
- Significant group-by-sex interactions were found for brain, cortical, and intracranial volume, and surface area.
- Males at FHR-SZ showed smaller brain, cortical, and intracranial volumes and surface area compared to PBC males.
- Females at FHR-BP exhibited larger brain and cortical volumes than PBC females.
Conclusions:
- Children at FHR-SZ and FHR-BP display sex-specific morphometric brain differences.
- These differences may represent sex-specific endophenotypic markers of risk.
- Future longitudinal studies are needed to track neuroanatomical changes and their predictive value.
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