The miniaturization, sophistication, proliferation, and accessibility of technologies are enabling the capturing of more and previously inaccessible phenomena in Parkinson disease (PD). However, more information has not translated into greater understanding of disease complexity to satisfy diagnostic and therapeutic needs. Challenges include non-compatible technology platforms, the need for wide-scale and long-term deployment of sensor technology (in particular among vulnerable elderly patients), and the gap between the “big data” acquired with sensitive measurement technologies and their limited clinical application. Major opportunities could be realized if new technologies are developed as part of open-source and/or open-hardware platforms enabling multi-channel data capture, sensitive to the broad range of motor and non-motor problems that characterize PD, and adaptable into self-adjusting, individualized treatment delivery systems. The International Parkinson and Movement Disorders Society Task Force on Technology is entrusted to convene engineers, clinicians, researchers, and patients to promote the development of integrated measurement and closed-loop therapeutic systems with high patient adherence that also serve to: 1) encourage the adoption of clinico-pathophysiologic phenotyping and early detection of critical disease milestones; 2) enhance tailoring of symptomatic therapy; 3) improve subgroup targeting of patients for future testing of disease modifying treatments; and 4) identify objective biomarkers to improve longitudinal tracking of impairments in clinical care and research. This article summarizes the work carried out by the Task Force toward identifying challenges and opportunities in the development of technologies with potential for improving the clinical management and quality of life of individuals with PD.

Migraine is a prevalent disabling neurological disorder associated with a wide range of medical and psychiatric comorbidities. Population- and clinic-based studies suggest that psychiatric comorbidities, particularly mood and anxiety disorders, are more common among persons with chronic migraine than among those with episodic migraine. Additional studies suggest that psychiatric comorbidities may be a risk factor for migraine chronification (i.e., progression from episodic to chronic migraine). It is important to identify and appropriately treat comorbid psychiatric conditions in persons with migraine, as these conditions may contribute to increased migraine-related disability and impact, diminished health-related quality of life, and poor treatment outcomes. Here, we review the current literature on the rates of several psychiatric comorbidities, including depression, anxiety, and post-traumatic stress disorder, among persons with migraine in clinic- and population-based studies. We also review the link between physical, emotional, and substance abuse, psychiatric disorders, and migraine. Finally, we review the data on psychiatric risk factors for migraine chronification and explore theories and evidence underlying the comorbidity between migraine and these psychiatric disorders.

Drug repurposing holds the potential to bring medications with known safety profiles to new patient populations. Numerous examples exist for the identification of new indications for existing molecules, most stemming from serendipitous findings or focused recent efforts specifically limited to the mode of action of a specific drug. In recent years, the need for new approaches to drug research and development, combined with the advent of big data repositories and associated analytical methods, has generated interest in developing systematic approaches to drug repurposing. A variety of innovative computational methods to enable systematic repurposing screens, experimental as well as through in silico approaches, have emerged. An efficient drug repurposing pipeline requires the combination of access to molecular data, appropriate analytical expertise to enable robust insights, expertise and experimental set-up for validation and clinical development know-how. In this review, we describe some of the main approaches to systematic repurposing and discuss the various players in this field and the need for strategic collaborations to increase the likelihood of success in bringing existing molecules to new indications, as well as the current advantages, considerations and challenges in repurposing as a drug development strategy pursued by pharmaceutical companies.

The studies discussed in this review support the notion that early identification of factors predictive of PSS should significantly affect the course of intervention, help target individuals who would benefit most from specific types and intensities of therapy, and possibly provide better motor and functional outcomes.