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T52. Common Functional MRI Markers of Risk for Psychotic, Mood and Anxiety Disorders: A Meta-Analysis
Abstract   Peer reviewed

T52. Common Functional MRI Markers of Risk for Psychotic, Mood and Anxiety Disorders: A Meta-Analysis

Jacqueline Clauss, Jennifer Blackford and Daphne Holt
Biological psychiatry (1969), Vol.85(10 Suppl), pp.S149-S149
05/15/2019
DOI: 10.1016/j.biopsych.2019.03.375

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Abstract

Background Many risk factors for psychiatric disorders increase risk for multiple diagnoses and are not specific to one disorder. However, few studies have tested for common alterations in brain function transdiagnostically across risk groups. We conducted a meta-analysis of functional magnetic resonance imaging (fMRI) studies of high-risk individuals. Methods A systematic review of studies was performed in PubMed. Inclusion criteria were: task-based fMRI, whole brain analyses, mean subject age < 30 years, and examined a “high-risk” group, as defined by clinical (i.e., subsyndromal symptoms), temperamental (i.e., behavioral inhibition), or familial risk factors. Thirty-six studies were identified (with participants who were at risk for anxiety disorders (n=8), mood disorders (n=7), or psychotic disorders (n=21)), with a total of 1,356 participants. The meta-analysis was conducted in GingerALE using a random-effects model. Studies were combined by calculating the union of each individual study, with a voxel p < .05 and a cluster size of 50 voxels. Results In the combined sample, transdiagnostic risk was associated with increased activation in the PCC and caudate, and decreased activation in the superior parietal lobule, inferior frontal gyrus, and dorsomedial prefrontal cortex. Conclusions Common correlates of risk identified here, i.e., impaired functioning of frontoparietal circuitry and limbic overactivity, are consistent with findings in mood and psychotic disorders and thus may represent candidate transdiagnostic markers of risk for serious mental illness.
 Functional Neuroimaging At-Risk Youth Early Risk Detection Meta-Analysis

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