Clinical Neuroscience Lab

Individualized Risk Calculator for Psychosis

Individualized Risk Calculator for Psychosis

An individualized risk calculator for research in prodromal psychosis. Cannon et al., 2016. Higher levels of unusual thought content and suspiciousness, greater decline in social functioning, lower verbal learning and memory performance, slower speed of processing, and younger age at baseline each contributed to individual risk for psychosis. A risk calculator comparable in accuracy to those for cardiovascular disease and cancer is available to predict individualized conversion risks in newly ascertained clinical high-risk cases.
Coping Styles in Psychosis and Depression

Coping Styles in Psychosis and Depression

Coping styles in twins discordant for schizophrenia, bipolar disorder, and depression. Fortgang et al., 2016. We examined five factors of coping within and across disorder proband and co-twin groups, modeled heritability, and tested for endophenotypic patterns in a sample of twin pairs (N = 420). Although there was substantial phenotypic overlap across disorders, including low levels of Productive, Problem-Focused coping and high levels of Disengagement, each disorder was associated with a unique profile across other dimensions of coping.
Elevated Maternal Cytokine Levels and Risk for Psychosis

Elevated Maternal Cytokine Levels and Risk for Psychosis

Elevated maternal cytokine levels at birth and risk for psychosis in adult offspring. Allswede et al., 2016. Individuals exposed to elevated maternal levels of anti-inflammatory Th2 cytokines (≥75th percentile) were significantly less likely to develop psychosis in adulthood. These results may suggest that increased maternal levels of anti-inflammatory cytokines during the perinatal period could protect against the development of psychosis.
The primary goals of the Clinical Neuroscience Laboratory at Yale University are to elucidate genetic, neural, and behavioral mechanisms underlying psychotic forms of mental illness – principally schizophrenia and bipolar disorder – and to develop effective intervention and prevention strategies targeting these mechanisms. Our approaches include structural, functional and metabolic brain imaging, neurocognitive assessment, and quantitative and molecular genetics. These approaches are applied in the context of twin studies, longitudinal developmental studies, birth cohort studies, and randomized, controlled trials.
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