The effect of resilience on bipolar mood during specialty clinic treatment.

BACKGROUND: Limitations in mental health resources behoove exploration of factors that may enhance treatment response. One such factor, resilience, has been minimally examined in bipolar disorder. METHODS: With multi-level modeling of clinical care data, we examined associations among longitudinal measurements of resilience and mood rating trajectories in a sample of 100 individuals with bipolar disorder during 6 weeks of evidence-based pharmacotherapy and psychotherapy. RESULTS: Individuals with high self-care subscale scores from the Resilience Questionnaire for Bipolar Disorder exhibited an improving rate of depression change -0.18 (SE = 0.04, p < .001) completing treatment with a subthreshold depression rating of 3.1 (SE = 1.39, p < .05). In contrast, treatment recipients who disagreed or were neutral towards self-care experienced worsening or no change in depression, respectively. This subscale also decreased mood elevation. Each one-point increase yielded a -0.27 (SE = 0.13 p < .05) point decrease in mania. LIMITATIONS: Resilience may develop longitudinally. In this study, it was examined during active treatment which was a relatively brief period of time. CONCLUSIONS: Higher bipolar resilience could identify individuals more likely to exhibit improvement in mood during bipolar specialty clinic treatment.

Functional assessment short test (FAST): Self-administration in outpatient mental health settings.

The Functional Assessment Short Test (FAST) is a clinician-administered assessment scale of psychosocial dysfunction across various domains typically impacted in individuals with bipolar disorder. The FAST is formally validated as a clinician-administered measure, but support for self-administration would allow its wider use. Therefore, this study aimed to determine whether the FAST could reliably serve as a self-report measure in individuals seeking mental health treatment. Participants completed both the self-report and clinician-administered versions of the FAST as part of their routine outpatient clinical care at the Bipolar Disorders Clinic at The University of Texas Health Austin (UTHA). We investigated correlations between self-report and clinician-administered FAST scores. There were significant positive correlations between self-report and clinician-administered scores in a diverse group of 84 individuals undergoing outpatient mental health treatment (Total FAST scores rS = 0.75; p < .001). These findings support using the FAST as a self-report scale, further increasing its utility to measure functional disability in mental health conditions such as bipolar disorder. Self-report application will increase the utility of the FAST in busy clinical workflows and, therefore, contribute to a more comprehensive clinical assessment of recovery and spur interventions that improve psychosocial functioning and quality of life.

Distinguishing between depression in bipolar disorder and unipolar depression using magnetic resonance imaging: a systematic review.

OBJECTIVES: Magnetic resonance imaging (MRI) studies comparing bipolar and unipolar depression characterize pathophysiological differences between these conditions. However, it is difficult to interpret the current literature due to differences in MRI modalities, analysis methods, and study designs. METHODS: We conducted a systematic review of publications using MRI to compare individuals with bipolar and unipolar depression. We grouped studies according to MRI modality and task design. Within the discussion, we critically evaluated and summarized the functional MRI research and then further complemented these findings by reviewing the structural MRI literature. RESULTS: We identified 88 MRI publications comparing participants with bipolar depression and unipolar depressive disorder. Compared to individuals with unipolar depression, participants with bipolar disorder exhibited heightened function, increased within network connectivity, and reduced grey matter volume in salience and central executive network brain regions. Group differences in default mode network function were less consistent but more closely associated with depressive symptoms in participants with unipolar depression but distractibility in bipolar depression. CONCLUSIONS: When comparing mood disorder groups, the neuroimaging evidence suggests that individuals with bipolar disorder are more influenced by emotional and sensory processing when responding to their environment. In contrast, depressive symptoms and neurofunctional response to emotional stimuli were more closely associated with reduced central executive function and less adaptive cognitive control of emotionally oriented brain regions in unipolar depression. Researchers now need to replicate and refine network-level trends in these heterogeneous mood disorders and further characterize MRI markers associated with early disease onset, progression, and recovery.

Glutamate and functional connectivity - support for the excitatory-inhibitory imbalance hypothesis in autism spectrum disorders.

It has been proposed that the Glutamate (Glu) system is implicated in autism spectrum disorders (ASD) via an imbalance between excitatory and inhibitory brain circuits, which impacts on brain function. Here, we investigated the excitatory-inhibitory imbalance theory by measuring Glu-concentrations and the relationship with resting-state function. Nineteen adult males with ASD and 19 age and sex-matched healthy controls (HC) (23 - 58 years) underwent Proton Magnetic Resonance Spectroscopy of the dorsal anterior cingulate cortex (dACC) and resting-state functional Magnetic Resonance Imaging (fMRI). Glu and Glx concentrations were compared between groups. Seed-based functional connectivity was analyzed with a priori seeds of the right and left dACC. Finally, metabolite concentrations were related to functional connectivity coefficients and compared between both groups. Individuals with ASD showed significantly negative associations between increased Glx concentrations and reduced functional connectivity between the dACC and insular, limbic and parietal regions. In contrast, HC displayed a positive relationship between the same metabolite and connectivity measures. We provided new evidence to support the excitatory-inhibitory imbalance theory, where excitatory Glx concentrations were related to functional dysconnectivity in ASD. Future research is needed to investigate large-scale functional networks in association with both excitatory and inhibitory metabolites in subpopulations of ASD.