Children at familial high risk for schizophrenia or bipolar disorder show sex-specific differences in subcortical grey matter volumes
Hansen, M. M.; Baare, W. F. C.; Hernandez-Torres, E.; Larsen, K. M.; Ioakeimidis, V.; Johnsen, L. K.; Hemager, N.; Gregersen, M.; Krantz, M. F.; Weye, N.; Sondergaard, A.; Knudsen, C. B.; Veddum, L.; Andreassen, A. K.; Lund, T. E.; Mors, O.; Thorup, A. A. E.; Ostergaard, L.; Nordentoft, M.; Siebner, H. R.; Madsen, K. S.
Show abstract
Background: Children of parents with schizophrenia (SZ) or bipolar disorder (BP) are at familial high risk (FHR) of developing severe mental illnesses. Based on findings in FHR populations and adults with SZ and BP, we hypothesized that children at FHR for schizophrenia (FHR-SZ) or bipolar disorder (FHR-BP) would show sex-specific differences in subcortical grey matter volume, particularly in the thalamus, amygdala, and hippocampus, compared with population-based controls (PBC). Methods: We examined eight major subcortical grey matter structures in 108 FHR-SZ, 69 FHR-BP, and 120 PBC children aged 11-12 years from the Danish High Risk and Resilience Study. Structural magnetic resonance imaging (MRI) was used to estimate subcortical volumes and R1, a measure of myelin, iron, water, and macromolecular content. Sex-specific group differences were tested across regions. Results: The thalamus and amygdala, but not hippocampus, showed sex-specific group differences in volume. FHR-SZ males showed smaller thalamic volumes than FHR-BP and PBC males, whereas FHR-BP females showed larger thalamic volumes compared with PBC females. FHR-BP males showed larger relative amygdala volumes (corrected for total brain volume) compared to PBC males. No significant differences were observed for subcortical R1. Conclusions: Children at FHR-SZ and FHR-BP exhibited sex-specific differences in subcortical brain volumes before the typical onset of SZ and BP. These differences may reflect early sex-specific neurodevelopmental correlates of familial risk and highlight the importance of modelling sex-specific effects in developmental neuropsychiatric research. Longitudinal studies are needed to determine how these volumetric differences evolve and whether they are associated with later clinical outcomes.
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Insula Functional Connectivity in Schizophrenia 95%
- Pan T cells, Helper T cells, and Regulatory T cells are Associated with Negative Symptoms in Persons with Anti-Gliadin Antibody Positive Schizophrenia and Related Disorders 94%
- Apathy is not associated with reduced ventral striatal volume in patients with schizophrenia 94%
Similar papers in this journal
- Atypical response inhibition and error processing in 22q11.2 Deletion Syndrome and Schizophrenia: Towards neuromarkers of disease progression and risk 95%
- Neural Anomalies during Vigilance in Schizophrenia: Diagnostic Specificity and Genetic Associations 93%
- Altered thalamocortical structural connectivity in persons with schizophrenia and healthy siblings 93%
Similar papers in this journal
Similar papers in this journal
- Atypical brain maturation in psychosis is associated with long-term cognitive decline and symptom progression 94%
- Smoking and the risk for bipolar disorder: causal evidence from a bidirectional Mendelian randomization study 91%
- Predictors of suicidal thoughts and behavior in children: results from penalized logistic regression analyses in the ABCD study 91%
Similar papers in this journal
- MRI-based cortical gray/white matter contrast in young adults who endorse psychotic experiences or are at genetic risk for psychosis 96%
- Causal Discovery Analysis Reveals Insights into Psychosis Proneness, Brain Function, and Environmental Factors among Young Individuals 94%
- Aberrant Activation of the Mentalizing Brain System During Eye Gaze Discrimination in Bipolar Disorder 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.