The mood disorder prodrome is conceptualized as a symptomatic, but not yet clinically diagnosable stage of an affective disorder. Although a growing area, more focused research is needed in the pediatric population to better characterize psychopathological symptoms and biological markers that can reliably identify this very early stage in the evolution of mood disorder pathology. Such information will facilitate early prevention and intervention, which has the potential to affect a person’s disease course. This review focuses on the prodromal characteristics, risk factors, and neurobiological mechanisms of mood disorders. In particular, we consider the influence of early-life stress, inflammation, and allostatic load in mediating neural mechanisms of neuroprogression. These inherently modifiable factors have known neuroadaptive and neurodegenerative implications, and consequently may provide useful biomarker targets. Identification of these factors early in the course of the disease will accordingly allow for the introduction of early interventions which augment an individual’s capacity for psychological resilience through maintenance of synaptic integrity and cellular resilience. A targeted and complementary approach to boosting both psychological and physiological resilience simultaneously during the prodromal stage of mood disorder pathology has the greatest promise for optimizing the neurodevelopmental potential of those individuals at risk of disabling mood disorders.

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The development of closed-loop deep brain stimulation (DBS) systems represents a significant opportunity for innovation in the clinical application of neurostimulation therapies. Despite the highly dynamic nature of neurological diseases, open-loop DBS applications are incapable of modifying parameters in real time to react to fluctuations in disease states. Thus, current practice for the designation of stimulation parameters, such as duration, amplitude, and pulse frequency, is an algorithmic process. Ideal stimulation parameters are highly individualized and must reflect both the specific disease presentation and the unique pathophysiology presented by the individual. Stimulation parameters currently require a lengthy trial-and-error process to achieve the maximal therapeutic effect and can only be modified during clinical visits. The major impediment to the development of automated, adaptive closed-loop systems involves the selection of highly specific disease-related biomarkers to provide feedback for the stimulation platform. This review explores the disease relevance of neurochemical and electrophysiological biomarkers for the development of closed-loop neurostimulation technologies. Electrophysiological biomarkers, such as local field potentials, have been used to monitor disease states. Real-time measurement of neurochemical substances may be similarly useful for disease characterization. Thus, the introduction of measurable neurochemical analytes has significantly expanded biomarker options for feedback-sensitive neuromodulation systems. The potential use of biomarker monitoring to advance neurostimulation approaches for treatment of Parkinson’s disease, essential tremor, epilepsy, Tourette syndrome, obsessive-compulsive disorder, chronic pain, and depression is examined. Further, challenges and advances in the development of closed-loop neurostimulation technology are reviewed, as well as opportunities for next-generation closed-loop platforms.

Lithium has been shown to have some therapeutic efficacy as an adjunctive treatment for intractable forms of major depression. Activation of mammalian target of rapamycin (mTOR) and inhibition of glycogen synthase kinase-3β (GSK3β) have been implicated in its putative mechanisms of action. These proteins are integral components of the insulin signaling pathway, which may serve as a critical co-regulator of drug action. Utilizing an animal model of tricyclic antidepressant resistance, we investigated the relationship between insulin signaling and antidepressant response to lithium augmentation. Pre-treatment with adrenocorticotropic hormone (ACTH 100 µg/day i.p.) for 14 days effectively blocked the immobility-reducing effects of an acute dose of imipramine (10 mg/kg i.p.) in the forced swim test (FST). Lithium augmentation (100 mg/kg i.p.) rescued the antidepressant-like effects of imipramine in this model. Total and phosphorylated (p) levels of protein kinase B (Akt), mTOR, and GSK3β protein were quantified in the infralimbic cortex (ILPFC) following FST stress via Western blot. Levels of mTOR and pmTOR were further quantified in isolated peripheral blood mononuclear cells (PBMCs) following insulin stimulation (10 mg/mL for 5 min) via ELISA. Elevated levels of phosphorylated insulin signaling proteins were present in the ILPFC of ACTH-pretreated animals that received both imipramine and lithium, together with a concurrent increase in mTOR activation in PBMCs. Large correlations were observed between immobility time and insulin-stimulated mTOR levels in PBMCs. We propose that PBMC insulin challenge may be a useful probe for predicting antidepressant response to lithium administration, and potentially other therapies acting via similar mechanisms of action.