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This article presents the case of an HIV-positive client who reported having sexual relations with an unknowing partner. The issue raised is whether the therapist was required to warn the unknowing partner, similar to the Tarasoff mandate that is imposed on therapists. The case is analyzed from an ethical framework similar to that presented by Beauchamp and Childress (1994). Two opinions are presented, each leading to different conclusions about whether the therapist should inform the unknowing partner. It is concluded that although such analysis is valuable in aiding the therapist in his or her decision-making process, no clear professional standard for the management of the problem is evident. [ABSTRACT FROM AUTHOR]

Competing Interests: Declaration of competing interest Dr. Schneider: Dr. Schneider has received research funding from the NIH/NINDS, the Michael J. Fox Foundation for Parkinson's Research, Biohaven Phamaceuticals, Acadia Pharmaceuticals, and Bial and has received funding from Clintrex for her role on a DSMB. Dr. Phillips: Dr. Phillips has no conflicts of interest to declare. Dr. Kalia: Dr. Kalia has received research support from Canadian Institutes of Health Research (CIHR), Cure Parkinson's, Krembil Foundation, Michael J. Fox Foundation for Parkinson's Research (MJFF), Natural Sciences and Engineering Research Council of Canada (NSERC), Parkinson Canada; consultancy fees from Cure Ventures, Ipsen, Knight Therapeutics, Right Brain Bio, UCB; and, honoraria from Canadian Movement Disorders Society (CMDS), Critical Path for Parkinson's (CPP), International Parkinson and Movement Disorder Society (MDS), IOS Press.

Huntington's disease (HD), like many other neurological disorders, affects both lower and upper limb function that is typically assessed in the clinic - providing a snapshot of disease symptoms. Wearable sensors enable the collection of real-world data that can complement such clinical assessments and provide a more comprehensive insight into disease symptoms. In this context, almost all studies are focused on assessing lower limb function via monitoring of gait, physical activity and ambulation. In this study, we monitor upper limb function during activities of daily living in individuals with HD (n = 16), prodromal HD (pHD, n = 7), and controls (CTR, n = 16) using a wrist-worn wearable sensor, called PAMSys ULM, over seven days. The participants were highly compliant in wearing the sensor with an average daily compliance of 99% (100% for HD, 98% for pHD, and 99% for CTR). Goal-directed movements (GDM) of the hand were detected using a deep learning model, and kinematic features of each GDM were estimated. The collected data was used to predict disease groups (i.e., HD, pHD, and CTR) and clinical scores using a combination of statistical and machine learning-based models. Significant differences in GDM features were observed between the groups. HD participants performed fewer GDMs with long duration (> 7.5 seconds) compared to CTR (p-val = 0.021, d = -0.86). In velocity and acceleration metrics, the highest effect size feature was the entropy of the velocity zero-crossing length segments (HD vs CTR p-val <0.001, d = -1.67; HD vs pHD p-val = 0.043, d=-0.98; CTR vs pHD p-val = 0.046, d=0.96). In addition, this same variable showed a strongest correlation with clinical scores. Classification models achieved good performance in distinguishing HD, pHD and CTR individuals with a balanced accuracy of 67% and a 0.72 recall for the HD group, while regression models accurately predicted clinical scores. Notably the explained variance for the upper extremity function subdomain scale of Unified Huntington's Disease Rating Scale (UHDRS) was the highest, with the model capturing 60% of the variance. Our findings suggest the potential of wearables and machine learning for early identification of phenoconversion, remote monitoring in HD, and evaluating new treatments efficacy in clinical trials and medicine., Competing Interests: Additional Declarations: There is NO Competing Interest.

Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Gregory Pontone reports a relationship with ACADIA Pharmaceuticals Inc that includes: consulting or advisory. Gregory Pontone reports a relationship with GE Healthcare that includes: consulting or advisory. Kelly Mills reports a relationship with Tilosia that includes: consulting or advisory. Ruth Schneider reports a relationship with ACADIA Pharmaceuticals Inc that includes: funding grants. Ruth Schneider reports a relationship with Pfizer Inc that includes: funding grants. Ruth Schneider reports a relationship with Biohaven Ltd that includes: funding grants. Ruth Schneider reports a relationship with ESCAPE Bio that includes: consulting or advisory. none.

Background: Minor phenomena, including passage phenomena, feeling of presence, and illusions, are common and may represent a prodromal form of psychosis in Parkinson's disease (PD). We examined the prevalence and clinical correlates of minor phenomena, and their potential role as a risk factor for PD psychosis., Methods: A novel questionnaire, the Psychosis and Mild Perceptual Disturbances Questionnaire for PD (PMPDQ), was completed by Fox Insight cohort participants with and without PD. Additional assessments included the Non-Motor Symptoms Questionnaire (NMSQuest), REM Sleep Behavior Disorder Single Question Screen (RBD1Q), Movement Disorder Society-Unified Parkinson Disease Rating Scale Part II, demographic features, and medication usage. For participants with PD, we used regression models to identify clinical associations and predictors of incident psychosis over one year of follow-up., Results: Among participants with PD (n = 5950) and without PD (n = 1879), the prevalence of minor phenomena was 43.1% and 31.7% ( P < .001). Of the 3760 participants with PD and no baseline psychosis, independent correlates of minor phenomena included positive responses on the NMSQuest apathy/attention/memory (OR 1.7, 95% CI 1.3-2.1, P < .001) or sexual function domain (OR 1.3, 95% CI 1.1-1.6, P = .01) and positive RBD1Q (OR 1.3, 95% CI 1.05-1.5, P = .01). Independent risk factors for incident PD psychosis included the presence of minor phenomena (HR 3.0, 95% CI 2.4-3.9, P < .001), positive response on the NMSQuest apathy/attention/memory domain (HR 1.8, 95% CI 1.3-2.6, P < .001), and positive RBD1Q (HR 1.5, 95% CI 1.1-1.9, P = .004)., Conclusions: Minor phenomena are common, associated with specific non-motor symptoms, and an independent predictor of incident psychosis in PD., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: RS: Has received research support from Acadia Pharmaceuticals, Biohaven Pharmaceuticals, and Pfizer and consulted for Escape Bio. PA: Nothing to disclose. RD: Nothing to disclose. KM: Has consulted for Tilosia. CK: Nothing to disclose. TM: Nothing to disclose. MK: Nothing to disclose. GP: Has consulted for Acadia Pharmaceuticals and receives funding from the NIH. MJN: Nothing to disclose.

Background: Speech changes are an early symptom of Huntington disease (HD) and may occur prior to other motor and cognitive symptoms. Assessment of HD commonly uses clinician-rated outcome measures, which can be limited by observer variability and episodic administration. Speech symptoms are well suited for evaluation by digital measures which can enable sensitive, frequent, passive, and remote administration., Methods: We collected audio recordings using an external microphone of 36 (18 HD, 7 prodromal HD, and 11 control) participants completing passage reading, counting forward, and counting backwards speech tasks. Motor and cognitive assessments were also administered. Features including pausing, pitch, and accuracy were automatically extracted from recordings using the BioDigit Speech software and compared between the three groups. Speech features were also analyzed by the Unified Huntington Disease Rating Scale (UHDRS) dysarthria score. Random forest machine learning models were implemented to predict clinical status and clinical scores from speech features., Results: Significant differences in pausing, intelligibility, and accuracy features were observed between HD, prodromal HD, and control groups for the passage reading task (e.g., p  < 0.001 with Cohen'd = -2 between HD and control groups for pause ratio). A few parameters were significantly different between the HD and control groups for the counting forward and backwards speech tasks. A random forest classifier predicted clinical status from speech tasks with a balanced accuracy of 73% and an AUC of 0.92. Random forest regressors predicted clinical outcomes from speech features with mean absolute error ranging from 2.43-9.64 for UHDRS total functional capacity, motor and dysarthria scores, and explained variance ranging from 14 to 65%. Montreal Cognitive Assessment scores were predicted with mean absolute error of 2.3 and explained variance of 30%., Conclusion: Speech data have the potential to be a valuable digital measure of HD progression, and can also enable remote, frequent disease assessment in prodromal HD and HD. Clinical status and disease severity were predicted from extracted speech features using random forest machine learning models. Speech measurements could be leveraged as sensitive marker of clinical onset and disease progression in future clinical trials., Competing Interests: AN, RM, and AV were employed by BioSensics. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision., (Copyright © 2024 Nunes, Pawlik, Mishra, Waddell, Coffey, Tarolli, Schneider, Dorsey, Vaziri and Adams.)

Digital health technologies are growing at a rapid pace and changing the healthcare landscape. Our current understanding of digital health literacy in Parkinson's disease (PD) is limited. In this review, we discuss the potential challenges of low digital health literacy in PD with particular attention to telehealth, deep brain stimulation, wearable sensors, and smartphone applications. We also highlight inequities in access to digital health technologies. Future research is needed to better understand digital health literacy among individuals with PD and to develop effective solutions. We must invest resources to evaluate, understand, and enhance digital health literacy for individuals with PD.

We present an artificial intelligence (AI) system to remotely assess the motor performance of individuals with Parkinson's disease (PD). In our study, 250 global participants performed a standardized motor task involving finger-tapping in front of a webcam. To establish the severity of Parkinsonian symptoms based on the finger-tapping task, three expert neurologists independently rated the recorded videos on a scale of 0-4, following the Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS). The inter-rater reliability was excellent, with an intra-class correlation coefficient (ICC) of 0.88. We developed computer algorithms to obtain objective measurements that align with the MDS-UPDRS guideline and are strongly correlated with the neurologists' ratings. Our machine learning model trained on these measures outperformed two MDS-UPDRS certified raters, with a mean absolute error (MAE) of 0.58 points compared to the raters' average MAE of 0.83 points. However, the model performed slightly worse than the expert neurologists (0.53 MAE). The methodology can be replicated for similar motor tasks, providing the possibility of evaluating individuals with PD and other movement disorders remotely, objectively, and in areas with limited access to neurological care., (© 2023. Springer Nature Limited.)

The etiologies of Parkinson's disease (PD) remain unclear. Some, such as certain genetic mutations and head trauma, are widely known or easily identified. However, these causes or risk factors do not account for the majority of cases. Other, less visible factors must be at play. Among these is a widely used industrial solvent and common environmental contaminant little recognized for its likely role in PD: trichloroethylene (TCE). TCE is a simple, six-atom molecule that can decaffeinate coffee, degrease metal parts, and dry clean clothes. The colorless chemical was first linked to parkinsonism in 1969. Since then, four case studies involving eight individuals have linked occupational exposure to TCE to PD. In addition, a small epidemiological study found that occupational or hobby exposure to the solvent was associated with a 500% increased risk of developing PD. In multiple animal studies, the chemical reproduces the pathological features of PD.Exposure is not confined to those who work with the chemical. TCE pollutes outdoor air, taints groundwater, and contaminates indoor air. The molecule, like radon, evaporates from underlying soil and groundwater and enters homes, workplaces, or schools, often undetected. Despite widespread contamination and increasing industrial, commercial, and military use, clinical investigations of TCE and PD have been limited. Here, through a literature review and seven illustrative cases, we postulate that this ubiquitous chemical is contributing to the global rise of PD and that TCE is one of its invisible and highly preventable causes. Further research is now necessary to examine this hypothesis.

Parkinson's disease (PD) is the fastest-growing neurological disease in the world. A key challenge in PD is tracking disease severity, progression, and medication response. Existing methods are semisubjective and require visiting the clinic. In this work, we demonstrate an effective approach for assessing PD severity, progression, and medication response at home, in an objective manner. We used a radio device located in the background of the home. The device detected and analyzed the radio waves that bounce off people's bodies and inferred their movements and gait speed. We continuously monitored 50 participants, with and without PD, in their homes for up to 1 year. We collected over 200,000 gait speed measurements. Cross-sectional analysis of the data shows that at-home gait speed strongly correlates with gold-standard PD assessments, as evaluated by the Movement Disorder Society-Sponsored Revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part III subscore and total score. At-home gait speed also provides a more sensitive marker for tracking disease progression over time than the widely used MDS-UPDRS. Further, the monitored gait speed was able to capture symptom fluctuations in response to medications and their impact on patients' daily functioning. Our study shows the feasibility of continuous, objective, sensitive, and passive assessment of PD at home and hence has the potential of improving clinical care and drug clinical trials.

Background and Objectives: To recruit and characterize a national cohort of individuals who have a genetic variant ( LRRK2 G2019S) that increases risk of Parkinson disease (PD), assess participant satisfaction with a decentralized, remote research model, and evaluate interest in future clinical trials., Methods: In partnership with 23andMe, Inc., a personal genetics company, LRRK2 G2019S carriers with and without PD were recruited to participate in an ongoing 36-month decentralized, remote natural history study. We examined concordance between self-reported and clinician-determined PD diagnosis. We applied the Movement Disorder Society Prodromal Parkinson's Disease Criteria and asked investigators to identify concern for parkinsonism to distinguish participants with probable prodromal PD. We compared baseline characteristics of LRRK2 G2019S carriers with PD, with prodromal PD, and without PD., Results: Over 15 months, we enrolled 277 LRRK2 G2019S carriers from 34 states. At baseline, 60 had self-reported PD (mean [SD] age 67.8 years [8.4], 98% White, 52% female, 80% Ashkenazi Jewish, and 67% with a family history of PD), and 217 did not (mean [SD] age 53.7 years [15.1], 95% White, 59% female, 73% Ashkenazi Jewish, and 57% with a family history of PD). Agreement between self-reported and clinician-determined PD status was excellent (κ = 0.94, 95% confidence interval 0.89-0.99). Twenty-four participants had prodromal PD; 9 met criteria for probable prodromal PD and investigators identified concern for parkinsonism in 20 cases. Compared with those without prodromal PD, participants with prodromal PD were older (63.9 years [9.0] vs 51.9 years [15.1], p < 0.001), had higher modified Movement Disorders Society-Unified Parkinson's Disease Rating Scale motor scores (5.7 [4.3] vs 0.8 [2.1], p < 0.001), and had higher Scale for Outcomes in PD for Autonomic Symptoms scores (11.5 [6.2] vs 6.9 [5.7], p = 0.002). Two-thirds of participants enrolled were new to research, 97% were satisfied with the overall study, and 94% of those without PD would participate in future preventive clinical trials., Discussion: An entirely remote national cohort of LRRK2 G2019S carriers was recruited from a single site. This study will prospectively characterize a large LRRK2 G2019S cohort, refine a new model of clinical research, and engage new research participants willing to participate in future therapeutic trials., (Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.)

Purpose of Review: The COVID-19 pandemic has dramatically affected the health and well-being of individuals with movement disorders. This manuscript reviews these effects, discusses pandemic-related changes in clinical care and research, and suggests improvements to care and research models., Recent Findings: During the on-going COVID-19 pandemic, individuals with movement disorders have experienced worsening of symptoms, likely due to decreased access to care, loss of social connection, and decreased physical activity. Through telemedicine, care has moved out of the clinic and into the home. Clinical research has also been significantly disrupted, and there has been a shift to decentralized approaches. The pandemic has highlighted disparities in access to care and representation in research. We must now translate these experiences into better care and research models with a focus on equitable integration of telemedicine, better support of patients and caregivers, the development of meaningful digital endpoints, and optimization of decentralized research designs., (© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background: Traditional in-person Parkinson's disease (PD) research studies are often slow to recruit and place unnecessary burden on participants. The ongoing COVID-19 pandemic has added new impetus to the development of new research models., Objective: To compare recruitment processes and outcomes of three remote decentralized observational PD studies with video visits., Methods: We examined the number of participants recruited, speed of recruitment, geographic distribution of participants, and strategies used to enhance recruitment in FIVE, a cross-sectional study of Fox Insight participants with and without PD (n = 203); VALOR-PD, a longitudinal study of 23andMe, Inc. research participants carrying the LRRK2 G2019S variant with and without PD (n = 277); and AT-HOME PD, a longitudinal study of former phase III clinical trial participants with PD (n = 226)., Results: Across the three studies, 706 participants from 45 U.S. states and Canada enrolled at a mean per study rate of 4.9 participants per week over an average of 51 weeks. The cohorts were demographically homogenous with regard to race (over 95%white) and level of education (over 90%with more than a high school education). The number of participants living in primary care Health Professional Shortage Areas in each study ranged from 30.3-42.9%. Participants reported interest in future observational (98.5-99.6%) and interventional (76.1-87.6%) research studies with remote video visits., Conclusion: Recruitment of large, geographically dispersed remote cohorts from a single location is feasible. Interest in participation in future remote decentralized PD studies is high. More work is needed to identify best practices for recruitment, particularly of diverse participants.

The Parkinson's disease (PD)-specific Parkinson Anxiety Scale (PAS) is an anxiety rating scale that has been validated in cross-sectional studies. In a study of buspirone for anxiety in PD, it appears that the PAS may be sensitive to change in anxiety demonstrating moderate-to-high correlation with participant-reported and clinician-administered scales., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2021 The Authors. Published by Elsevier Ltd.)

Importance: Urate elevation, despite associations with crystallopathic, cardiovascular, and metabolic disorders, has been pursued as a potential disease-modifying strategy for Parkinson disease (PD) based on convergent biological, epidemiological, and clinical data., Objective: To determine whether sustained urate-elevating treatment with the urate precursor inosine slows early PD progression., Design, Participants, and Setting: Randomized, double-blind, placebo-controlled, phase 3 trial of oral inosine treatment in early PD. A total of 587 individuals consented, and 298 with PD not yet requiring dopaminergic medication, striatal dopamine transporter deficiency, and serum urate below the population median concentration (<5.8 mg/dL) were randomized between August 2016 and December 2017 at 58 US sites, and were followed up through June 2019., Interventions: Inosine, dosed by blinded titration to increase serum urate concentrations to 7.1-8.0 mg/dL (n = 149) or matching placebo (n = 149) for up to 2 years., Main Outcomes and Measures: The primary outcome was rate of change in the Movement Disorder Society Unified Parkinson Disease Rating Scale (MDS-UPDRS; parts I-III) total score (range, 0-236; higher scores indicate greater disability; minimum clinically important difference of 6.3 points) prior to dopaminergic drug therapy initiation. Secondary outcomes included serum urate to measure target engagement, adverse events to measure safety, and 29 efficacy measures of disability, quality of life, cognition, mood, autonomic function, and striatal dopamine transporter binding as a biomarker of neuronal integrity., Results: Based on a prespecified interim futility analysis, the study closed early, with 273 (92%) of the randomized participants (49% women; mean age, 63 years) completing the study. Clinical progression rates were not significantly different between participants randomized to inosine (MDS-UPDRS score, 11.1 [95% CI, 9.7-12.6] points per year) and placebo (MDS-UPDRS score, 9.9 [95% CI, 8.4-11.3] points per year; difference, 1.26 [95% CI, -0.59 to 3.11] points per year; P = .18). Sustained elevation of serum urate by 2.03 mg/dL (from a baseline level of 4.6 mg/dL; 44% increase) occurred in the inosine group vs a 0.01-mg/dL change in serum urate in the placebo group (difference, 2.02 mg/dL [95% CI, 1.85-2.19 mg/dL]; P<.001). There were no significant differences for secondary efficacy outcomes including dopamine transporter binding loss. Participants randomized to inosine, compared with placebo, experienced fewer serious adverse events (7.4 vs 13.1 per 100 patient-years) but more kidney stones (7.0 vs 1.4 stones per 100 patient-years)., Conclusions and Relevance: Among patients recently diagnosed as having PD, treatment with inosine, compared with placebo, did not result in a significant difference in the rate of clinical disease progression. The findings do not support the use of inosine as a treatment for early PD., Trial Registration: ClinicalTrials.gov Identifier: NCT02642393.

Introduction: Parkinson's disease (PD) research is hampered by slow, inefficient recruitment and burdensome in-person assessments that may be challenging to conduct in a world affected by COVID-19. Fox Insight is an ongoing prospective clinical research study that enables individuals to participate in clinical research from their own homes by completing online questionnaires. To date, over 45,000 participants with and without PD have enrolled. We sought to validate self-reported PD diagnosis in the Fox Insight cohort, assess the validity of other self-reported health information, and evaluate the willingness of participants to participate in video-based research studies., Methods: Individuals with and without self-reported PD enrolled in Fox Insight were invited to participate in this virtual research study. Participants completed online questionnaires and two virtual visits, during which we conducted standard cognitive and motor assessments. A movement disorder expert determined the most likely diagnosis, which was compared to self-reported diagnosis., Results: A total of 203 participants from 40 U.S. states, 159 with remote clinician-determined PD and 44 without, completed the study (59% male, mean (SD) age 65.7 (9.8)). Level of agreement between self-reported PD diagnosis in Fox Insight and clinician-determined diagnosis was very good ((kappa = 0.85, 95% CI 0.76-0.94). Overall, 97.9% of participants were satisfied with the study, 98.5% were willing to participate in a future observational study with virtual visits, and 76.1% were willing to participate in an interventional trial with virtual visits., Conclusion: Among the Fox Insight cohort, self-reported diagnosis is accurate and interest in virtual research studies is high., (© 2021 Published by Elsevier Ltd.)

Purpose of Review: Digital technology affords the opportunity to provide objective, frequent, and sensitive assessment of disease outside of the clinic environment. This article reviews recent literature on the application of digital technology in movement disorders, with a focus on Parkinson's disease (PD) and Huntington's disease., Recent Findings: Recent research has demonstrated the ability for digital technology to discriminate between individuals with and without PD, identify those at high risk for PD, quantify specific motor features, predict clinical events in PD, inform clinical management, and generate novel insights. Digital technology has enormous potential to transform clinical research and care in movement disorders. However, more work is needed to better validate existing digital measures, including in new populations, and to develop new more holistic digital measures that move beyond motor features.

Objective: The expanding power and accessibility of personal technology provide an opportunity to reduce burdens and costs of traditional clinical site-centric therapeutic trials in Parkinson's disease and generate novel insights. The value of this approach has never been more evident than during the current COVID-19 pandemic. We sought to (1) establish and implement the infrastructure for longitudinal, virtual follow-up of clinical trial participants, (2) compare changes in smartphone-based assessments, online patient-reported outcomes, and remote expert assessments, and (3) explore novel digital markers of Parkinson's disease disability and progression., Methods: Participants from two recently completed phase III clinical trials of inosine and isradipine enrolled in Assessing Tele-Health Outcomes in Multiyear Extensions of Parkinson's Disease trials (AT-HOME PD), a two-year virtual cohort study. After providing electronic informed consent, individuals complete annual video visits with a movement disorder specialist, smartphone-based assessments of motor function and socialization, and patient-reported outcomes online., Results: From the two clinical trials, 226 individuals from 42 states in the United States and Canada enrolled. Of these, 181 (80%) have successfully downloaded the study's smartphone application and 161 (71%) have completed patient-reported outcomes on the online platform., Interpretation: It is feasible to conduct a large-scale, international virtual observational study following the completion of participation in brick-and-mortar clinical trials in Parkinson's disease. This study, which brings research to participants, will compare established clinical endpoints with novel digital biomarkers and thereby inform the longitudinal follow-up of clinical trial participants and design of future clinical trials., (© 2020 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association.)

The COVID-19 pandemic forced the abrupt and rapid expansion of an alternative care model that embraces the use of video-based visits in the care of persons with Parkinson's disease. Video-based visits not only eliminate the risk of infection but also reduce geography- and disability-related barriers to accessing specialist care. Research has established that they are feasible, acceptable to persons with Parkinson's disease and patient-centered. In the Unites States, the relaxation of licensure requirements, adoption of reimbursement parity and investment in telemedicine infrastructure has enabled the rapid growth of video-based visits during the COVID-19 pandemic. Now, we must turn our attention to ensuring that progress made in expanding access to video-based care is not lost and expanded worldwide. More work is needed to identify the optimal video-based care model, establish best practices, and ensure equitable access to care.

Introduction: In Parkinson's disease (PD), anxiety is common, associated with lower health-related quality of life, and undertreated. The primary objective of this study was to determine the tolerability of buspirone for the treatment of anxiety in PD., Methods: Individuals with PD and clinically significant anxiety were randomized 4:1 to flexible dosage buspirone or placebo for 12 weeks. Treatment was initiated at 7.5 mg twice daily and titrated based on response and tolerability to an optimal dosage (maximum 30 mg twice daily). The primary outcome was the proportion of participants who failed to complete the study on study drug. Secondary outcomes included adverse events, dosage reductions, motor function, dyskinesias, and anxiety., Results: A total of 21 participants enrolled, 4 were randomized to placebo and 17 to buspirone (mean (SD) age 65.5 (9.8), 76.5% male, 88% on concomitant antidepressant or anxiolytic). In the buspirone group, 7 (41%) failed to complete the study on drug, 5 due to intolerability. The median buspirone dosage was 7.5 mg twice daily. No serious adverse events occurred. A total of 9 (53%) buspirone participants experienced adverse events consistent with worsened motor function. In the buspirone group, mean (SD) improvement from baseline to week 12 in Hamilton Anxiety Rating Scale was -3.9 (3.8) and Parkinson Anxiety Scale -7.1 (6.4)., Conclusion: Tolerability concerns do not support moving immediately forward with a large-scale efficacy trial. However, concomitant anxiolytics may have affected tolerability and a signal of efficacy was seen suggesting that future studies of buspirone monotherapy be considered., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Background: The presence of subjective cognitive complaints (SCC) as a predictor of cognitive impairment in Parkinson´s disease (PD) has shown conflicting results. Most previous studies only assessed complaints in the memory domain. We investigate the association of SCCs across cognitive domains with development of mild cognitive impairment (PD-MCI) and dementia (PDD) in PD and to assess agreement between SCCs and objective cognitive impairments in this population., Methods: This is a retrospective analysis of a prospective cohort study. Participants were enrolled at six North-American movement disorders centers. They underwent neuropsychological and non-cognitive clinical evaluations, including the modified Neurobehavioral Inventory to elicit SCC (rated by each patient and independently by their close contact (CC)). Associations between SCCs and development of future cognitive impairment were assessed. Agreement between SCCs and objective impairment within the same domain was also calculated., Results: Of 138 included PD patients, 42% fulfilled criteria for PD-MCI. None of the NBI items predicted development of cognitive impairment after one and two years in PD with normal cognition. In PD-MCI patients, SCCs related to attention predicted dementia at year one. CC ratings of SCCs related to memory and language problems predicted PDD in PD-MCI patients. According to CC reported patients' complaints, there was a significant agreement between SCCs and objective cognitive test scores on attention., Conclusions: Eliciting SCCs including cognitive domains other than memory is crucial for a complete evaluation, including both patient and CC report. Memory, language, and especially attention SCCs in PD-MCI may predict progression to dementia., (© 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Background: Cognitive decline creates substantial morbidity and cost in Parkinson's disease (PD) and clinicians have limited tools for counseling patients on prognosis. We aimed to use data from a randomized, controlled trial of isradipine in Parkinson's disease (STEADY-PD III) to determine which objective cognitive domain deficits drive patient complaints of cognitive symptoms., Methods: Neuro-Quality of Life (Neuro-QoL) Cognition: General Concerns (GC), and Cognition: Executive Function (EF) (subjective measures), were administered at baseline, 1, 2, and 3 years in 324 people with PD. Baseline Montreal Cognitive Assessment (MoCA) was divided into 4 domains: visuospatial/executive, memory, attention, and language (objective measures). Spearman rank correlations and multiple regression models adjusted for other clinical variables evaluated associations between baseline Neuro-QoL domains and individual MoCA domains. Multiple regression models evaluated the association between baseline MoCA domain performance and Neuro-QoL change over three years. Cox proportional hazards predicted development of PD-MCI based on baseline and time-varying Neuro-QoL reporting., Results: Higher MoCA memory performance was associated with better Neuro-QoL-GC (β = 0.75, SE = 0.391, p = 0.05) and Neuro-QoL-EF (β = 0.81, SE = 0.36, p = 0.02) at baseline. There was a trend for baseline MoCA memory to predict the degree of subjective cognitive decline on the Neuro-QoL-EF (β = 0.70, SE = 0.42, p = 0.09). Baseline depression and anticholinergic use were associated with worsened Neuro-QoL-EF and Neuro-QoL-GC. Increasing subjective cognitive complaints in Neuro-QoL-EF were associated with development of PD-MCI over 3 years of follow-up (HR = 0.95, CI = 0.90-1.0, p = 0.039)., Conclusions: Objective memory impairment may be a stronger predictor than executive or visuospatial dysfunction for the presence of subjective cognitive complaints in early PD., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Purpose of Review: The prevalence of neurodegenerative diseases, such as Alzheimer's disease (AD) and Parkinson's disease (PD), is rising as the global population ages. Access to specialist care, which improves outcomes, is insufficient and disease-related disability makes in-person physician visits burdensome. Telehealth is one potential means for improving access to care. The purpose of this manuscript is to review recent publications on telemedicine in AD and PD., Recent Findings: Telemedicine is feasible in AD and PD and acceptable to patients and their caregivers. Compared with in-person visits, telemedicine reduces visit-associated travel and time. Telemedicine can be used for rehabilitative therapies, to administer cognitive tests, and to support caregivers. Access to telemedicine results in changes in patient care including medication adjustments and referrals for therapies and supports., Summary: The use of telemedicine in AD and PD stands to decrease burden on patients and increase access to specialty care. Barriers to the expansion of telemedicine care include lack of widespread broadband access, state licensure requirements, and inconsistent reimbursement. More outcomes-based prospective telemedicine studies are needed., Competing Interests: Conflicts of Interest The authors each declare no conflicts of interest.

Phenotype is the set of observable traits of an organism or condition. While advances in genetics, imaging, and molecular biology have improved our understanding of the underlying biology of Parkinson's disease (PD), clinical phenotyping of PD still relies primarily on history and physical examination. These subjective, episodic, categorical assessments are valuable for diagnosis and care but have left gaps in our understanding of the PD phenotype. Sensors can provide objective, continuous, real-world data about the PD clinical phenotype, increase our knowledge of its pathology, enhance evaluation of therapies, and ultimately, improve patient care. In this paper, we explore the concept of deep phenotyping-the comprehensive assessment of a condition using multiple clinical, biological, genetic, imaging, and sensor-based tools-for PD. We discuss the rationale for, outline current approaches to, identify benefits and limitations of, and consider future directions for deep clinical phenotyping.

Introduction: Deep brain stimulation (DBS) surgery is an efficacious, underutilized treatment for Parkinson's disease (PD). Studies of DBS post-operative outcomes are often restricted to data from a single center and consider DBS in isolation. National estimates of DBS readmission and post-operative outcomes are needed, as are comparisons to commonly performed surgeries., Methods: This study used datasets from the 2013 and 2014 Nationwide Readmissions Database (NRD). Our sample was restricted to PD patients discharged alive after hospitalization for DBS surgery. Descriptive analyses examined patient, clinical, hospital and index hospitalization characteristics. The all-cause, non-elective 30-day readmission rate after DBS was calculated, and logistic regression models were built to examine factors associated with readmission. Readmission rates for the most common surgical procedures were calculated and compared to DBS., Results: There were 6058 DBS surgeries for PD in our sample, most often involving a male aged 65 and older, who lived in a high socioeconomic status zip code. DBS patients had an average of four comorbidities. With respect to outcomes, the majority of patients were discharged home (95.3%). Non-elective readmission was rare (4.9%), and was associated with socioeconomic status, comorbidity burden, and teaching hospital status. Much higher acute, non-elective readmission rates were observed for common procedures such as upper gastrointestinal endoscopy (16.2%), colonoscopy (14.0%), and cardiac defibrillator and pacemaker procedures (11.1%)., Conclusion: Short-term hospitalization outcomes after DBS are generally favorable. Socioeconomic disparities in DBS use persist. Additional efforts may be needed to improve provider referrals for and patient access to DBS., Competing Interests: Declaration of competing interest RBS: Has no conflicts of interest relevant to this work but reports grant support from the National Institute of Neurological Disorders and Stroke, Biohaven Pharmaceuticals, CHDI Foundation, Teva Pharmaceuticals, Pfizer, Nuredis Inc., The Michael J. Fox Foundation, and the Canadian Institute of Health Research as well as financial support from the Parkinson's Foundation. JJ-S: Reports research support from Medtronic and St. Jude Medical/Abbott as well as consulting agreements with Medtronic, St. Jude Medical/Abbott, and Boston Scientific relevant to this work. Also reports research support from Teva and Lilly; consulting agreements with Bracket and Nuvelution; and grant support from the National Institute of Neurological Disorders and Stroke, the Michael J. Fox Foundation, and the Simons Foundation. DSA: Has no conflicts of interest relevant to this work but reports research support from the National Institutes of Health and financial support from the Parkinson's Foundation. DPT: None. SM: None. MF: Has no conflicts of interest relevant to this work but reports active research funding from the American Academy of Neurology, American Brain Foundation, and the Parkinson's Foundation. MAB: Has no conflicts of interest relevant to this work but reports active research funding from the Parkinson's Foundation. KLC: Has no conflicts of interest relevant to this work but reports active research funds from the National Institutes of Health and the Parkinson Study Group, consulting agreements with Sunovion Pharmaceuticals, and royalties from UpToDate and Springer. MS: Has no conflicts of interest relevant to this work but reports active research funding from Abbvie, USWorldMeds, Sanofi, Lundbeck, and Abbott. WJJ: None. P-FD: Has no conflicts of interest relevant to this work but reports service as an Officer of Neurotargeting LLC. MKY: Has no conflicts of interest relevant to this work but reports personal compensation for consultant, Steering Committee, and Data Safety Monitoring Board service from the Michael J. Fox Foundation and Boston Scientific. JCK: None. JMS: Has no conflicts of interest relevant to this work but reports research grants from Medtronic, service as a consultant for Guidant, LLC, and salary support from Blue Cross Blue Shield of Michigan. AJE: Has no conflicts of interest relevant to this work but reports grant support from the National Institutes of Health, Great Lakes Neurotechnologies, and the Michael J Fox Foundation; personal compensation as a consultant/scientific advisory board member for Abbvie, Neuroderm, TEVA, Impax, Acadia, Acorda, Cynapsus/Sunovion, Lundbeck, Osmotica Pharmaceutical, and USWorldMeds; publishing royalties from Lippincott Williams & Wilkins, Cambridge University Press, and Springer; and honoraria from Abbvie, UCB, USWorldMeds, Lundbeck, Acadia, the American Academy of Neurology, and the Movement Disorders Society. LCS: Has no conflicts of interest relevant to this work but reports employment with Biogen, Inc. DKS: Has no conflicts of interest relevant to this work but reports research funding from BioElectron Technology, Lysosomal Therapeutics, Mission Therapeutics, Voyager Therapeutics, the Weston Brain Institute, and the National Institutes of Health as well as honorarium for Steering Committee service from the Michael J. Fox Foundation and Biogen. CH: None. JAGC: Has no conflicts of interest relevant to this work but reports research support from the Northern Ontario Academic Medicine Association. AWW: Has no conflicts of interest relevant to this work but reports research funding from the National Institutes of Health and the Parkinson's Foundation., (Copyright © 2019. Published by Elsevier Ltd.)

Background: The rise of direct-to-consumer genetic testing has enabled many to learn of their possible increased risk for rare diseases, some of which may be suitable for gene-targeted therapies. However, recruiting a large and representative population for rare diseases or genetically defined sub-populations of common diseases is slow, difficult, and expensive., Objective: To assess the feasibility of recruiting and retaining a cohort of individuals who carry a genetic mutation linked to Parkinson's disease (G2019S variant of LRRK2); to characterize this cohort relative to the characteristics of traditional, in-person studies; and to evaluate this model's ability to create an engaged study cohort interested in future clinical trials of gene-directed therapies., Methods: This single-site,3-year national longitudinal observational study will recruit between 250 to 350 LRRK2 carriers without Parkinson's disease and approximately 50 with the condition. Participants must have undergone genetic testing by the personal genetics company, 23andMe, Inc., have knowledge of their carrier status, and consent to be contacted for research studies. All participants undergo standardized assessments, including video-based cognitive and motor examination, and complete patient-reported outcomes on an annual basis., Results: 263 individuals living in 33 states have enrolled. The cohort has a mean (SD) age of 56.0 (15.9) years, 59% are female, and 76% are of Ashkenazi Jewish descent. 233 have completed the baseline visit: 47 with self-reported Parkinson's disease and 186 without., Conclusions: This study establishes a promising model for developing a geographically dispersed and well-characterized cohort ready for participation in future clinical trials of gene-directed therapies.

Background: The appropriate timing of dopaminergic treatment initiation in Parkinson's disease (PD) remains a matter of debate. The primary objective of this study was to determine whether earlier initiation of treatment was associated with less worsening of total UPDRS scores over 48 months., Methods: We performed a secondary analysis of data from the CALM-PD (Comparison of the Agonist Pramipexole With Levodopa on Motor Complications of Parkinson's Disease) trial to examine the associations between years since diagnosis and 48-month changes in total and component UPDRS scores, Parkinson's Disease Quality of Life Scale (PDQUALIF) score, and the EuroQol-5D visual analogue scale (VAS) score., Results: There were no associations between years since PD diagnosis and 48-month changes in total UPDRS, component UPDRS scores, PDQUALIF score, or EuroQol-5D VAS score., Conclusion: Earlier treatment was not associated with improved long-term outcomes in this secondary analysis. Prospective studies are required to determine the appropriate timing of initiation of dopaminergic treatment to inform clinical practice.

Background: Clinical monitoring of patients with Parkinson's disease (PD) for cognitive decline is an important element of care. The Montreal Cognitive Assessment (MoCA) has been proposed to be a sensitive tool for assessing cognitive impairment in PD. The aim of our study was to compare the responsiveness of the MoCA to decline in cognition to the responsiveness of the Mini Mental State Examination (MMSE) and the Scales for Outcomes of Parkinson's disease-cognition (SCOPA-Cog)., Methods: PD patients without dementia were enrolled at 6 North American movement disorders centers between 2008 and 2011. Participants received annual evaluations including the MoCA, MMSE, and SCOPA-Cog followed by formal neuropsychological testing. The gold standard for change in cognition was defined as the change on the neuropsychological test scores over the annual assessments. The Reliable Change Method was used to provide an estimate of the probability that a given difference score would be obtained by chance. The sensitivity of the MoCA, MMSE, and SCOPA-Cog to change was quantified using receiver operating characteristics (ROC) curves., Results: One hundred seventeen patients were included in the analysis. Participants were followed at mean intervals of 11 ± 2 months for a median of 2 (maximum 5) visits. According to the reliable change index, 56 intervals of cognitive testing showed a decline in global cognition. ROC analysis of change in MoCA, MMSE, and SCOPA-Cog global scores compared to gold standard testing found an area under the curve (AUC) of 0.55 (95% CI 0.48-0.62), 0.56 (0.48-0.63), and 0.63 (0.55-0.70) respectively. There were no significant differences in the AUCs across the tests. The sensitivity of the MoCA, MMSE, and SCOPA-Cog to change at various thresholds for decline in scores reached a maximum of 71% for a cut-off of 1 point change on the SCOPA-Cog., Conclusion: Using neuropsychological testing as a gold standard comparator, the performance of the MoCA, MMSE, and SCOPA-Cog for detecting decline in non-demented PD patients over a 1-year interval is poor. This has implications for clinical practice; stable scores may not be taken as reassurance of the absence of cognitive decline., (© 2019 S. Karger AG, Basel.)

Importance: Current Parkinson disease (PD) measures are subjective, rater-dependent, and assessed in clinic. Smartphones can measure PD features, yet no smartphone-derived rating score exists to assess motor symptom severity in real-world settings., Objectives: To develop an objective measure of PD severity and test construct validity by evaluating the ability of the measure to capture intraday symptom fluctuations, correlate with current standard PD outcome measures, and respond to dopaminergic therapy., Design, Setting, and Participants: This observational study assessed individuals with PD who remotely completed 5 tasks (voice, finger tapping, gait, balance, and reaction time) on the smartphone application. We used a novel machine-learning-based approach to generate a mobile Parkinson disease score (mPDS) that objectively weighs features derived from each smartphone activity (eg, stride length from the gait activity) and is scaled from 0 to 100 (where higher scores indicate greater severity). Individuals with and without PD additionally completed standard in-person assessments of PD with smartphone assessments during a period of 6 months., Main Outcomes and Measures: Ability of the mPDS to detect intraday symptom fluctuations, the correlation between the mPDS and standard measures, and the ability of the mPDS to respond to dopaminergic medication., Results: The mPDS was derived from 6148 smartphone activity assessments from 129 individuals (mean [SD] age, 58.7 [8.6] years; 56 [43.4%] women). Gait features contributed most to the total mPDS (33.4%). In addition, 23 individuals with PD (mean [SD] age, 64.6 [11.5] years; 11 [48%] women) and 17 without PD (mean [SD] age 54.2 [16.5] years; 12 [71%] women) completed in-clinic assessments. The mPDS detected symptom fluctuations with a mean (SD) intraday change of 13.9 (10.3) points on a scale of 0 to 100. The measure correlated well with the Movement Disorder Society Unified Parkinson Disease's Rating Scale total (r = 0.81; P < .001) and part III only (r = 0.88; P < .001), the Timed Up and Go assessment (r = 0.72; P = .002), and the Hoehn and Yahr stage (r = 0.91; P < .001). The mPDS improved by a mean (SD) of 16.3 (5.6) points in response to dopaminergic therapy., Conclusions and Relevance: Using a novel machine-learning approach, we created and demonstrated construct validity of an objective PD severity score derived from smartphone assessments. This score complements standard PD measures by providing frequent, objective, real-world assessments that could enhance clinical care and evaluation of novel therapeutics.

Parkinson's disease is a neurodegenerative disorder characterized by motor and nonmotor symptoms. Psychosis is a common feature of Parkinson's disease. Parkinson's disease psychosis (PDP) encompasses minor phenomena (illusions, passage hallucinations and presence hallucinations), visual and nonvisual hallucinations and delusions. PDP is associated with reduced function and quality of life. The initial management approach should focus on identification and treatment of any contributory medical factors, reduction or discontinuation of medications with potential to induce or worsen psychosis, nonpharmacological strategies and consideration of acetylcholinesterase inhibitor treatment in the setting of dementia. Pimavanserin, quetiapine and clozapine may all be considered for use in PDP. In this review, we discuss the presentation, diagnosis and management of PDP.

Disparities in access to health care, particularly specialist care, exist worldwide. As the prevalence of chronic neurological disorders increases with ageing populations, access to neurologist care is likely to worsen in many regions if there are no changes to models of care. Telemedicine-defined here as the use of real-time, synchronous videoconferencing to deliver medical care-could be used to improve access to neurologist care for patients with a range of chronic neurological disorders. In Parkinson's disease, several studies have shown the feasibility and potential benefits of telemedicine-delivered care. Further research is needed to establish whether telemedicine can deliver on the promise of improved access to neurologist care and whether telemedicine-delivered care is comparable to in-person care in terms of clinical outcomes. Many barriers to widespread implementation of telemedicine services remain to be addressed, including reimbursement, legal considerations, and technological issues., (Copyright © 2017 Elsevier Ltd. All rights reserved.)

Atypical antipsychotics are increasingly being used to manage depression in older adults where these symptoms can often be refractory to first-line treatment with selective serotonin reuptake inhibitors (SSRIs) or serotonin norepinephrine reuptake inhibitors (SNRIs). Unfortunately, atypical antipsychotics can be associated with the development of extrapyramidal symptoms (EPS), with drug-induced parkinsonism (DIP) being the most common movement disorder induced by this class of medication. The management of treatment-resistant depression in older adults is of particular concern as depression is a common feature of idiopathic Parkinson's disease (IPD) and can manifest prior to the development of motor symptoms. Herein, we discuss the use of atypical antipsychotics for the management of depression in older adults including the risk of DIP and propose that antipsychotics may potentially unmask IPD.

Objective: The primary objective of this research was to characterize the movement disorders associated with FOXG1 mutations., Methods: We identified patients with FOXG1 mutations who were referred to either a tertiary movement disorder clinic or tertiary epilepsy service and retrospectively reviewed medical records, clinical investigations, neuroimaging, and available video footage. We administered a telephone-based questionnaire regarding the functional impact of the movement disorders and perceived efficacy of treatment to the caregivers of one cohort of participants., Results: We identified 28 patients with FOXG1 mutations, of whom 6 had previously unreported mutations. A wide variety of movement disorders were identified, with dystonia, choreoathetosis, and orolingual/facial dyskinesias most commonly present. Ninety-three percent of patients had a mixed movement disorder phenotype. In contrast to the phenotype classically described with FOXG1 mutations, 4 patients with missense mutations had a milder phenotype, with independent ambulation, spoken language, and normocephaly. Hyperkinetic involuntary movements were a major clinical feature in these patients. Of the symptomatic treatments targeted to control abnormal involuntary movements, most did not emerge as clearly beneficial, although 4 patients had a caregiver-reported response to levodopa., Conclusions: Abnormal involuntary movements are a major feature of FOXG1 mutations. Our study delineates the spectrum of movement disorders and confirms an expanding clinical phenotype. Symptomatic treatment may be considered for severe or disabling cases, although further research regarding potential treatment strategies is necessary., (© 2016 American Academy of Neurology.)

Many who have served in a war zone carry deep emotional wounds that go beyond the typical symptom clusters of reexperiencing, avoidance/numbing, and hyperarousal that comprise a diagnosis of posttraumatic stress disorder (PTSD). Specifically, many combatants experience unresolved grief, guilt, and shame caused by losses and traumatic experiences suffered in war, called "moral injury" by some clinicians and researchers (e.g., Litz et al., 2009; Shay, 1994). We describe the aspects of human attachment that set the stage for grief, guilt, and shame, and outline the 3-phase group therapy model we have implemented in a clinical setting to foster the reconnection of severed human bonds. Special attention is paid to killing and related phenomena that are unique to combat PTSD. The program phases include psychoeducation, trauma-focused therapy, and aftercare, which focuses on assisting the veterans in reconnecting with their families and communities. The use of letter writing as an intervention is illustrated through case examples, and clinical outcomes are anecdotally described.

Rorschach Oral Dependency scores (Masling, Rabie, & Blondheim, 1967) were compared among nonsexually offending psychopaths (NSOPs, n = 32), sexual homicide perpetrators (SHPs, n = 38), and non-violent pedophiles (NVPs, n = 39) as initially reported by Gacono, Meloy, and Bridges (2000). The aggressive special scores of Gacono and Meloy (1994; Gacono, unpublished doctoral dissertation, 1998) were also scored and compared with ROD scores. Consistent with theory and predictions, NVPs were found to have significantly higher levels of oral dependency scores than NSOPs or SHPs. Additionally, there was a high degree of association between oral dependency and aggression in the SHP and NSOP groups. These Rorschach differences support the validity of the ROD as an implicit measure of dependency and add to the understanding of the dynamics that fuel sexually deviant violence., (Copyright 2004 John Wiley & Sons, Ltd.)