It is well established that heart rate variability (HRV) plays an important role in social communication. Polyvagal theory suggests that HRV may provide a sensitive marker of one's ability to respond and recognize social cues. The aim of the present study was to directly test this hypothesis. Resting-state HRV was collected and performance on the Reading the Mind in the Eyes Test was assessed in 65 volunteers. HRV was positively associated with performance on this emotion recognition task confirming our hypothesis and these findings were retained after controlling for a variety of confounding variables known to influence HRV - sex, BMI, smoking habits, physical activity levels, depression, anxiety, and stress. Our data suggests that increased HRV may provide a novel marker of one's ability to recognize emotions in humans. Implications for understanding the biological basis of emotion recognition, and social impairment in humans are discussed.

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BackgroundMusical performance is a skilled activity performed under intense pressure, thus is often a profound source of anxiety. In other contexts, anxiety and its concomitant symptoms of sympathetic nervous system arousal have been successfully ameliorated with HRV biofeedback (HRV BF), a technique involving slow breathing which augments autonomic and emotional regulatory capacity. Objective: This randomised-controlled study explored the impact of a single 30-minute session of HRV BF on anxiety in response to a highly stressful music performance.MethodsA total of 46 trained musicians participated in this study and were randomly allocated to a slow breathing with or without biofeedback or no-treatment control group. A 3 Group×2 Time mixed experimental design was employed to compare the effect of group before and after intervention on performance anxiety (STAI-S) and frequency domain measures of HRV.ResultsSlow breathing groups (n = 30) showed significantly greater improvements in high frequency (HF) and LF/HF ratio measures of HRV relative to control (n = 15) during 5 minute recordings of performance anticipation following the intervention (effect size: η2 = 0.122 and η2 = 0.116, respectively). The addition of biofeedback to a slow breathing protocol did not produce differential results. While intervention groups did not exhibit an overall reduction in self-reported anxiety, participants with high baseline anxiety who received the intervention (n = 15) displayed greater reductions in self-reported state anxiety relative to those in the control condition (n = 7) (r = 0.379).ConclusionsThese findings indicate that a single session of slow breathing, regardless of biofeedback, is sufficient for controlling physiological arousal in anticipation of psychosocial stress associated with music performance and that slow breathing is particularly helpful for musicians with high levels of anxiety. Future research is needed to further examine the effects of HRV BF as a low-cost, non-pharmacological treatment for music performance anxiety.

Suicide is complex, and it is evident that a multidimensional and integrated approach is required to reduce its prevalence. The proposed model exposes and provides access to components of the suicide process that are potentially measurable and may serve as novel and specific therapeutic targets for interventions in the context of bipolar disorder. Thus, this model is useful not only for research purposes, but also for future real-world clinical practice.

Lithium is the most effective and well established treatment for bipolar disorder, and it has a broad array of effects within cellular pathways. However, the specific processes through which therapeutic effects occur and are maintained in bipolar disorder remain unclear. This paper provides a timely update to an authoritative review of pertinent findings that was published in CNS Drugs in 2013. A literature search was conducted using the Scopus database, and was limited by year (from 2012). There has been a resurgence of interest in lithium therapy mechanisms, perhaps driven by technical advancements in recent years that permit the examination of cellular mechanisms underpinning the effects of lithium-along with the reuptake of lithium in clinical practice. Recent research has further cemented glycogen synthase kinase 3β (GSK3β) inhibition as a key mechanism, and the inter-associations between GSK3β-mediated neuroprotective, anti-oxidative and neurotransmission mechanisms have been further elucidated. In addition to highly illustrative cellular research, studies examining higher-order biological systems, such as circadian rhythms, as well as employing innovative animal and human models, have increased our understanding of how lithium-induced changes at the cellular level possibly translate to changes at behavioural and clinical levels. Neural circuitry research is yet to identify clear mechanisms of change in bipolar disorder in response to treatment with lithium, but important structural findings have demonstrated links to the modulation of cellular mechanisms, and peripheral marker and pharmacogenetic studies are showing promising findings that will likely inform the exploration for predictors of lithium treatment response. With a deeper understanding of lithium's therapeutic mechanisms-from the cellular to clinical levels of investigation-comes the opportunity to develop predictive models of lithium treatment response and identify novel drug targets, and recent findings have provided important leads towards these goals.

In December 2015, the Royal Australian and New Zealand College of Psychiatrists published a comprehensive set of mood disorder clinical practice guidelines for psychiatrists, psychologists and mental health professionals. This guideline summary, directed broadly at primary care physicians, is an abridged version that focuses on bipolar disorder. It is intended as an aid to the management of this complex disorder for primary care physicians working in collaboration with psychiatrists to implement successful long term management. Main recommendations: The guidelines address the main phases of bipolar disorder with a particular emphasis on long term management, and provide specific clinical recommendations. Mania: All physicians should be able to detect its early signs so that treatment can be initiated promptly. At the outset, taper and cease medications with mood-elevating properties and institute measures to reduce stimulation, and transfer the patient to specialist care. Bipolar depression: Treatment is complicated and may require trialling treatment combinations. Monotherapy with mood-stabilising agents or second generation antipsychotics has demonstrated efficacy but using combinations of these agents along with antidepressants is sometimes necessary to achieve remission. Commencing adjunctive structured psychosocial treatments in this phase is benign and likely effective. Long term management: Physicians should adjust treatment to prevent the recurrence of manic and/or depressive symptoms and optimise functional recovery. Closely monitor the efficacy of pharmacological and psychological treatments, adverse effects and compliance. Changes in management as a result of the guidelines: The guidelines position bipolar disorder as part of a spectrum of mood disorders and provide a longitudinal perspective for assessment and treatment. They provide new management algorithms for the maintenance phase of treatment that underscore the importance of ongoing monitoring to achieve prophylaxis. As a first line treatment, lithium remains the most effective medication for the prevention of relapse and potential suicide, but requires nuanced management from both general practitioners and specialists. The guidelines provide clarity and simplicity for the long term management of bipolar disorder, incorporating the use of new medications and therapies alongside established treatments.

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The Lithiumeter 2.0 is an update that clinicians will find useful for their practice. By addressing some of the issues faced in clinical practice, translational clinical research will continue to inform the Lithiumeter in future updates.