Stephen Lawrie’s Keynote right now at #ICP2022: reviews 14 MRI studies of brain changes over time in schizophrenia and sees about half a standard deviation progression in brain volume loss; inactivity and sedation contributes to GM loss?
And genomic risk markers for schizophrenia account for 20% of the risk for schizophrenia at the population level; polygenic risk score for SCZ is negatively assoc w/ cortical thickness in the UK Biobank #ICP2022 
But alcohol and drug use and child abuse are associated with lower hippocampal and amygdala volume and may contribute to MRI findings in schizophrenia #ICP2022
brain differences are associated with antipsychotic use but the most severely ill patients get the highest doses for longest; in a randomized trial many people drop out making inferences harder
Be careful using MRI machine learning and family history to predict schizophrenia in young at risk people; using schizotypal features may also help early detection but not always accurate; 80 percent accuracy means be careful #ICP2022
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