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Eastern Regional Hospital gets GH¢1.3m expanded mental health unit as cases surge

The Eastern Regional Hospital has received a GH¢1.3 million 35-bed mental health unit from the Kabaka Foundation amid rising cases across the region.

A recent study explores the role of sex-typical brain architecture and environmental factors in predicting psychiatric symptoms during early life. Researchers analyzed brain data from 411 participants in the Developing Human Connectome Project and 214 children from the Oregon ADHD 1000 study. They found that neonatal alignment with sex-typical brain architecture, specifically in areas with high concentrations of nicotinic cholinergic receptors, predicted psychiatric symptoms across sexes in toddlerhood.

In the dHCP sample, greater alignment with female-typical functional connectivity patterns in association areas predicted higher anxiety, while greater alignment with male-typical patterns forecasted autism-related problems. This effect was less pronounced among toddlers with an older epigenetic age at birth and those exposed to fewer maternal health problems, but more so in those with greater environmental enrichment.

In the independent child sample, patterns of alignment with sex-typical functional connectivity distinguished a history of depression and generalized anxiety from a history of separation anxiety, behavioral problems, and current ADHD. Greater alignment with female-typical FC was associated with greater prevalence of depression and generalized anxiety, while greater alignment with male-typical FC was linked to separation anxiety, behavioral problems, and ADHD.

The findings highlight the importance of sex-related functional brain architecture in early life vulnerability to psychiatric conditions. Identifying individuals who exhibit specific patterns of alignment with sex-typical connectivity may help in predicting and monitoring the success of environmental interventions aimed at reducing the burden of psychiatric symptoms during early development.

Written by urgent.news from bioRxiv's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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