Personality disorders in offspring of mothers with mood disorders: results from a longitudinal family study.

Offspring of mothers with mood disorders are known to be at risk for a range of adverse outcomes, but the prevalence of personality disorders (PDs) in this group is unknown. The goal of this study was to assess risk of PD diagnoses and symptoms in offspring of mothers with and without mood disorders, and to explore contributing factors to this risk. This longitudinal study assessed PDs and symptoms of PDs in offspring of mothers with bipolar disorder (O-BD), major depression (O-MDD), and no psychiatric diagnosis (O-WELL) in mid-adolescence and in early adulthood. O-BD were more likely to develop a Cluster B PD than O-MDD or O-WELL in adolescence, and more likely to develop a Cluster B PD then O-WELL in early adulthood. Dimensional analyses revealed that O-BD had elevated symptoms in PDs across all PD clusters at mid-adolescence and young adulthood. O-MDD showed elevated symptoms of antisocial PD at both time points, and of obsessive-compulsive PD at young adulthood. Offspring of mothers with mood disorders, especially O-BD, are at increased risk for PD diagnoses and symptoms in mid-adolescence and early adulthood. Contributing factors to risk of PD symptoms in at-risk offspring are discussed.

A Machine Learning-Based Analysis of Game Data for Attention Deficit Hyperactivity Disorder Assessment.

OBJECTIVE: Attention deficit hyperactivity disorder (ADHD) is found in 9.5 percent of the U.S. population and poses lifelong challenges. Current diagnostic approaches rely on evaluation forms completed by teachers and/or parents, although they are not specifically trained to recognize cognitive disorders. The most accurate diagnosis is by a psychiatrist, often only available to children with severe symptoms. Development of a tool that is engaging and objective and aids medical providers is needed in the diagnosis of ADHD. The goal of this research is to work toward the development of such a tool. MATERIALS AND METHODS: The proposed approach takes advantage of two trends: The rapid adoption of tangible user interface devices and the popularity of interactive videogames. CogCubed Inc. (Minneapolis, MN) has created "Groundskeeper," a game on the Sifteo Cubes (Sifteo, Inc., San Francisco, CA) game system with elements that exercise skills affected by ADHD. "Groundskeeper" was evaluated for 52 patients, with and without ADHD. Gameplay data were mathematically transformed into ADHD-indicative feature variables and subjected to machine learning algorithms to develop diagnostic models to aid psychiatric clinical assessments of ADHD. The effectiveness of the developed model was evaluated against the diagnostic impressions of two licensed child/adolescent psychiatrists using semistructured interviews. RESULTS: Our predictive algorithms were highly accurate in correctly predicting diagnoses based on gameplay of "Groundskeeper." The F-measure, a measure of diagnosis accuracy, from the predictive models gave values as follows: ADHD, inattentive type, 78 percent (P>0.05); ADHD, combined type, 75 percent (P<0.05); anxiety disorders, 71%; and depressive disorders, 76%. CONCLUSIONS: This represents a promising new approach to screening tools for ADHD.

Amygdala functional connectivity in young women with borderline personality disorder.

Borderline personality disorder (BPD) is a complex psychiatric disorder that involves the core feature of affect dysregulation. Prior neuroimaging studies have indicated that BPD patients have (1) excessive amygdala activation to negative emotion and (2) diminished frontal regulation. This study examined amygdala functional connectivity in 12 women with BPD and 12 matched healthy comparison volunteers. We explored how connectivity patterns would change in the context of processing neutral, overt fear, or masked fear face expressions. Each participant underwent three 5-min fMRI scans in which they primarily viewed: (1) neutral, (2) overt fear, and (3) masked fear faces. In comparison to their healthy counterparts, young women with BPD showed (1) lower connectivity between bilateral amygdala and mid-cingulate cortex during the neutral scan; (2) higher connectivity between bilateral amygdala and rostral anterior cingulate cortex during the overt fear scan; and (3) higher right amygdala connectivity with bilateral thalamus and right caudate during the masked fear scan. Exploratory analyses revealed interesting correlations between amygdala connectivity in these conditions with multiple clinical measures. Results from the neutral scan add to the few prior connectivity studies in BPD that have been suggestive of lower fronto-limbic connectivity in BPD. However, the connectivity findings during fear processing are novel, and map onto basic research models for amygdala connectivity, that is, connections to frontal areas for overt fear processing versus connections to thalamus for automatic fear processing. Further, results suggest that BPD subjects tap into both pathways more strongly than healthy comparisons.