Assessing the risks of treatment in Parkinson disease psychosis: An in-depth analysis.

BACKGROUND: Parkinson disease (PD) psychosis (PDP) is a disabling non-motor symptom. Pharmacologic treatment is limited to pimavanserin, quetiapine, and clozapine, which do not worsen parkinsonism. A Food and Drug Administration black box warning exists for antipsychotics, suggesting increased mortality in elderly patients with dementia. However, the reasons for higher mortality are unknown. AIM: Expanding on prior work exploring mortality in treated PDP patients, we conducted a retrospective comparison to understand the links between treatment regimen, clinical characteristics, and negative outcomes. METHODS: Electronic medical record data extraction included clinically diagnosed PD patients between 4/29/16-4/29/19 and excluded patients with primary psychiatric diagnoses or atypical parkinsonism. Mortality and clinical characteristics during the study period were compared between untreated patients and those receiving pimavanserin, quetiapine, or both agents (combination). Mortality analyses were adjusted for age, sex, levodopa equivalent daily dose (LEDD), and dementia. RESULTS: The pimavanserin group (n = 34) had lower mortality than the untreated group (n = 66) (odds ratio = 0.171, 95% confidence interval: 0.025-0.676, p = 0.026). The untreated group had similar mortality compared to the quetiapine (n = 147) and combination (n = 68) groups. All treated groups had a higher LEDD compared to the untreated group, but no other differences in demographics, hospitalizations, medical comorbidities, medications, or laboratory values were found between the untreated and treated groups. CONCLUSIONS: PDP patients receiving pimavanserin had lower mortality than untreated patients. We found no other clear differences in clinical characteristics to explain the mortality risk. Prospective randomized trials are needed to definitively identify the optimal PDP treatment regimen and associated risks.

Improving Medication Regimen Recommendation for Parkinson's Disease Using Sensor Technology.

Parkinson's disease medication treatment planning is generally based on subjective data obtained through clinical, physician-patient interactions. The Personal KinetiGraph™ (PKG) and similar wearable sensors have shown promise in enabling objective, continuous remote health monitoring for Parkinson's patients. In this proof-of-concept study, we propose to use objective sensor data from the PKG and apply machine learning to cluster patients based on levodopa regimens and response. The resulting clusters are then used to enhance treatment planning by providing improved initial treatment estimates to supplement a physician's initial assessment. We apply k-means clustering to a dataset of within-subject Parkinson's medication changes-clinically assessed by the MDS-Unified Parkinson's Disease Rating Scale-III (MDS-UPDRS-III) and the PKG sensor for movement staging. A random forest classification model was then used to predict patients' cluster allocation based on their respective demographic information, MDS-UPDRS-III scores, and PKG time-series data. Clinically relevant clusters were partitioned by levodopa dose, medication administration frequency, and total levodopa equivalent daily dose-with the PKG providing similar symptomatic assessments to physician MDS-UPDRS-III scores. A random forest classifier trained on demographic information, MDS-UPDRS-III scores, and PKG time-series data was able to accurately classify subjects of the two most demographically similar clusters with an accuracy of 86.9%, an F1 score of 90.7%, and an AUC of 0.871. A model that relied solely on demographic information and PKG time-series data provided the next best performance with an accuracy of 83.8%, an F1 score of 88.5%, and an AUC of 0.831, hence further enabling fully remote assessments. These computational methods demonstrate the feasibility of using sensor-based data to cluster patients based on their medication responses with further potential to assist with medication recommendations.

How Do I Assess Tremor Using Novel Technology?

Transducers are defined as any sensor that converts a physiological signal of tremor into an electrical signal. Evolving technologies have utilized transducers to develop devices for tremor measurement that are more convenient, accurate, and capable of continuous recording. Transducer-based methods provide valuable diagnostic tools for the clinician that can distinguish between different tremor syndromes and differentiate tremor from other hyperkinetic movement disorders. Transducers are also used to objectively quantify and track tremor symptom severity over time and assess clinical response to intervention (e.g., pharmaceutical treatments or DBS). This video highlights the utility of transducer-based methods in characterizing and quantifying tremor and reviews the available technologies for measuring tremor. We provide case examples that demonstrate how different technology-based measures for tremor direct the approach to diagnosis and management of symptoms.

Role of the Personal KinetiGraph in the routine clinical assessment of Parkinson's disease: recommendations from an expert panel.

INTRODUCTION: Evaluation of people with Parkinson's disease (PD) is often complex due to heterogeneity of symptoms and disease course, including the variability of motor fluctuations and dyskinesia. Routine clinical evaluations may be incomplete, may not accurately capture important symptoms, and may not reflect day-to-day variability. While significant advances have been made in wearable ambulatory continuous objective monitoring (COM) technologies, many clinicians remain uncertain of how to incorporate them in clinical practice, including the value to clinical decision-making. The Personal KinetiGraph™ (PKG) has FDA clearance in the United States, and has recently been used in several clinical studies. Areas covered: An expert group of movement disorders neurologists convened to discuss the clinical utility of the PKG in the routine assessment of people with PD. Based on their experience, the group identified clinical scenarios where objective information gained from review of PKG reports can provide useful information to improve clinical management. Expert commentary: PKG provides clinically meaningful data in patients with PD that can aid the clinician in evaluating patients and optimizing their pharmacologic therapy. Early clinical experience and expert opinion suggest that utilization of COM technologies such as the PKG have the potential to improve medical care in people with PD.

Dalfampridine in Parkinson's disease related gait dysfunction: A randomized double blind trial.

BACKGROUND: Disease-related gait dysfunction causes extensive disability for persons with Parkinson's disease (PD), with no effective therapies currently available. The potassium channel blocker dalfampridine has been used in multiple neurological conditions and improves walking in persons with multiple sclerosis. OBJECTIVES: We aimed to evaluate the effect of dalfampridine extended release (D-ER) 10mg tablets twice daily on different domains of walking in participants with PD. METHODS: Twenty-two participants with PD and gait dysfunction were randomized to receive D-ER 10mg twice daily or placebo for 4weeks in a crossover design with a 2-week washout period. The primary outcomes were change in the gait velocity and stride length. RESULTS: At 4weeks, gait velocity was not significantly different between D-ER (0.89m/s±0.33) and placebo (0.93m/s±0.27) conditions. The stride length was also similar between conditions: 0.96m±0.38 for D-ER versus 1.06m±0.33 for placebo. D-ER was generally well tolerated with the most frequent side effects being dizziness, nausea and balance problems. CONCLUSIONS: D-ER is well tolerated in PD patients, however it did not show significant benefit for gait impairment.

Impaired sense of agency in functional movement disorders: An fMRI study.

The sense of agency (SA) is an established framework that refers to our ability to exert and perceive control over our own actions. Having an intact SA provides the basis for the human perception of voluntariness, while impairments in SA are hypothesized to lead to the perception of movements being involuntary that may be seen many neurological or psychiatric disorders. Individuals with functional movement disorders (FMD) experience a lack of control over their movements, yet these movements appear voluntary by physiology. We used fMRI to explore whether alterations in SA in an FMD population could explain why these patients feel their movements are involuntary. We compared the FMD group to a control group that was previously collected using an ecologically valid, virtual-reality movement paradigm that could modulate SA. We found selective dysfunction of the SA neural network, whereby the dorsolateral prefrontal cortex and pre-supplementary motor area on the right did not respond differentially to the loss of movement control. These findings provide some of the strongest evidence to date for a physiological basis underlying these disabling disorders.

Clinical and demographic characteristics related to onset site and spread of cervical dystonia.

BACKGROUND: Clinical characteristics of isolated idiopathic cervical dystonia such as onset site and spread to and from additional body regions have been addressed in single-site studies with limited data and incomplete or variable dissociation of focal and segmental subtypes. The objectives of this study were to characterize the clinical characteristics and demographics of isolated idiopathic cervical dystonia in the largest standardized multicenter cohort. METHODS: The Dystonia Coalition, through a consortium of 37 recruiting sites in North America, Europe, and Australia, recruited 1477 participants with focal (60.7%) or segmental (39.3%) cervical dystonia on examination. Clinical and demographic characteristics were evaluated in terms of the body region of dystonia onset and spread. RESULTS: Site of dystonia onset was: (1) focal neck only (78.5%), (2) focal onset elsewhere with later segmental spread to neck (13.3%), and (3) segmental onset with initial neck involvement (8.2%). Frequency of spread from focal cervical to segmental dystonia (22.8%) was consistent with prior reports, but frequency of segmental onset with initial neck involvement was substantially higher than the 3% previously reported. Cervical dystonia with focal neck onset, more than other subtypes, was associated with spread and tremor of any type. Sensory tricks were less frequent in cervical dystonia with segmental components, and segmental cervical onset occurred at an older age. CONCLUSIONS: Subgroups had modest but significant differences in the clinical characteristics that may represent different clinical entities or pathophysiologic subtypes. These findings are critical for design and implementation of studies to describe, treat, or modify disease progression in idiopathic isolated cervical dystonia. © 2016 International Parkinson and Movement Disorder Society.

Technology in Parkinson's disease: Challenges and opportunities.

The miniaturization, sophistication, proliferation, and accessibility of technologies are enabling the capture of more and previously inaccessible phenomena in Parkinson's disease (PD). However, more information has not translated into a greater understanding of disease complexity to satisfy diagnostic and therapeutic needs. Challenges include noncompatible technology platforms, the need for wide-scale and long-term deployment of sensor technology (among vulnerable elderly patients in particular), 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 that enable multichannel data capture sensitive to the broad range of motor and nonmotor problems that characterize PD and are 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 the tailoring of symptomatic therapy, (3) improve subgroup targeting of patients for future testing of disease-modifying treatments, and (4) identify objective biomarkers to improve the 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 the quality of life of individuals with PD. © 2016 International Parkinson and Movement Disorder Society.

Correction: Brain Networks Responsible for Sense of Agency: An EEG Study.

[This corrects the article DOI: 10.1371/journal.pone.0135261.].

Brain Networks Responsible for Sense of Agency: An EEG Study.

BACKGROUND: Self-agency (SA) is a person's feeling that his action was generated by himself. The neural substrates of SA have been investigated in many neuroimaging studies, but the functional connectivity of identified regions has rarely been investigated. The goal of this study is to investigate the neural network related to SA. METHODS: SA of hand movements was modulated with virtual reality. We examined the cortical network relating to SA modulation with electroencephalography (EEG) power spectrum and phase coherence of alpha, beta, and gamma frequency bands in 16 right-handed, healthy volunteers. RESULTS: In the alpha band, significant relative power changes and phase coherence of alpha band were associated with SA modulation. The relative power decrease over the central, bilateral parietal, and right temporal regions (C4, Pz, P3, P4, T6) became larger as participants more effectively controlled the virtual hand movements. The phase coherence of the alpha band within frontal areas (F7-FP2, F7-Fz) was directly related to changes in SA. The functional connectivity was lower as the participants felt that they could control their virtual hand. In the other frequency bands, significant phase coherences were observed in the frontal (or central) to parietal, temporal, and occipital regions during SA modulation (Fz-O1, F3-O1, Cz-O1, C3-T4L in beta band; FP1-T6, FP1-O2, F7-T4L, F8-Cz in gamma band). CONCLUSIONS: Our study suggests that alpha band activity may be the main neural oscillation of SA, which suggests that the neural network within the anterior frontal area may be important in the generation of SA.

Treatment of essential tremor with long-chain alcohols: still experimental or ready for prime time?

AIM: To review current literature on long-chain alcohols and their derivatives as novel pharmacotherapy for the treatment of essential tremor (ET). BACKGROUND: Currently available and recommended pharmacotherapies for ET are often limited by suboptimal treatment effects, frequent adverse effects, and drug interactions. While ethanol is reported to profoundly decrease tremor severity in the majority of patients with ET, preclinical experience suggests that long-chain alcohols such as 1-octanol might lead to a comparable tremor reduction without ethanol's typical side effects of sedation and intoxication. Here, we review the literature on the first clinical trials on 1-octanol and its metabolite octanoic acid (OA) for the treatment of ET. METHODS: The literature on preclinical and clinical trials on long-chain alcohols as well as OA was reviewed and summarized, and an outlook given on next phases of development. DISCUSSION: 1-octanol was demonstrated to be safe and effective in a double-blind, placebo-controlled low-dose trial, and open-label data showed excellent tolerability and dose-dependent efficacy up to 128 mg/kg. Despite 1-octanol's efficacy, its future viability as an effective therapy is limited by its pharmacological properties that require large volumes to be orally administered. Pharmacokinetic data indicate that OA is the active metabolite of 1-octanol. Preclinical efficacy data for OA are positive, and human pilot data demonstrated excellent safety as well as efficacy in secondary outcome measures of tremor amplitudes. OA also has more favorable pharmacological properties for drug delivery; hence, OA may be worth developing as a pharmaceutical.

Octanoic acid in alcohol-responsive essential tremor: a randomized controlled study.

OBJECTIVE: To assess safety and efficacy of an oral, single, low dose of octanoic acid (OA) in subjects with alcohol-responsive essential tremor (ET). METHODS: We conducted a double-blind, placebo-controlled, crossover, phase I/II clinical trial evaluating the effect of 4 mg/kg OA in 19 subjects with ET. The primary outcome was accelerometric postural tremor power of the dominant hand 80 minutes after administration. Secondary outcomes included digital spiral analysis, pharmacokinetic sampling, as well as safety measures. RESULTS: OA was safe and well tolerated. Nonserious adverse events were mild (Common Terminology Criteria for Adverse Events grade 1) and equally present after OA and placebo. At the primary outcome, OA effects were not different from placebo. Secondary outcome analyses of digital spiral analysis, comparison across the entire time course in weighted and nonweighted accelerometry, as well as nondominant hand tremor power did not show a benefit of OA over placebo. The analysis of individual time points showed that OA improved tremor at 300 minutes (dominant hand, F = 5.49, p = 0.032 vs placebo), with a maximum benefit at 180 minutes after OA (both hands, F = 6.1, p = 0.025). CONCLUSIONS: Although the effects of OA and placebo at the primary outcome were not different, secondary outcome measures suggest superiority of OA in reducing tremor at later time points, warranting further trials at higher dose levels. CLASSIFICATION OF EVIDENCE: This study provides Class I evidence that a single 4-mg/kg dose of OA is not effective in reducing postural tremor in patients with ET at a primary outcome of 80 minutes, but is effective for a secondary outcome after 180 minutes.

Octanoic acid suppresses harmaline-induced tremor in mouse model of essential tremor.

Recent work exploring the use of high-molecular weight alcohols to treat essential tremor (ET) has identified octanoic acid as a potential novel tremor-suppressing agent. We used an established harmaline-based mouse model of ET to compare tremor suppression by 1-octanol and octanoic acid. The dose-related effect on digitized motion power within the tremor bandwidth as a fraction of overall motion power was analyzed. Both 1-octanol and octanoic acid provided significant reductions in harmaline tremor. An 8-carbon alkyl alcohol and carboxylic acid each suppress tremor in a pre-clinical mouse model of ET. Further studies are warranted to determine the safety and efficacy of such agents in humans with ET.

Validation of digital spiral analysis as outcome parameter for clinical trials in essential tremor.

Essential tremor, one of the most prevalent movement disorders, is characterized by kinetic and postural tremor affecting activities of daily living. Spiral drawing is commonly used to visually rate tremor intensity, as part of the routine clinical assessment of tremor and as a tool in clinical trials. We present a strategy to quantify tremor severity from spirals drawn on a digitizing tablet. We validate our method against a well-established visual spiral rating method and compare both methods on their capacity to capture a therapeutic effect, as defined by the change in clinical essential tremor rating scale after an ethanol challenge. Fifty-four Archimedes spirals were drawn using a digitizing tablet by nine ethanol-responsive patients with essential tremor before and at five consecutive time points after the administration of ethanol in a standardized treatment intervention. Quantitative spiral tremor severity was estimated from the velocity tremor peak amplitude after numerical derivation and Fourier transformation of pen-tip positions. In randomly ordered sets, spirals were scored by seven trained raters, using Bain and Findley's 0 to 10 rating scale. Computerized scores correlated with visual ratings (P < 0.0001). The correlation was significant at each time point before and after ethanol (P < 0.005). Quantitative ratings provided better sensitivity than visual rating to capture the effects of an ethanol challenge (P < 0.05). Using a standardized treatment approach, we were able to demonstrate that spirography time-series analysis is a valid, reliable method to document tremor intensity and a more sensitive measure for small effects than currently available visual spiral rating methods.

An open-label, single-dose, crossover study of the pharmacokinetics and metabolism of two oral formulations of 1-octanol in patients with essential tremor.

Existing therapeutic options for management of essential tremor are frequently limited by poor efficacy and adverse effects. Likely the most potent tremor suppressant used is ethanol, although its use is prohibitive due to a brief therapeutic window, and the obvious implications of excessive alcohol use. Longer-chain alcohols have been shown to suppress tremor in harmaline animal models, and appear to be safe and well tolerated in 2 prior studies in humans. Here we report on the findings of a phase I/II study of 1-octanol designed to explore pharmacokinetics, efficacy, and safety. The most significant finding was the identification of octanoic acid as the product of rapid 1-octanol metabolism. Furthermore, the temporal profile of efficacy closely matches the plasma concentration of octanoic acid. Therefore, these findings identify a novel class of compound (e.g., carboxylic acids) with tremor suppressive properties in ET. Administration of 1-octanol also appears to be safe based on various measures collected. Essential tremor (ET) is the most common tremor disorder, with tremors occurring during static posturing or movement. These tremors are known to briefly improve in many cases after alcohol (ethanol) consumption. Two previous studies of a longer chain alcohol, 1-octanol, have demonstrated longer duration tremor-suppressive effects without the occurrence of intoxication. The aim of this study was to characterize the pharmacokinetics of 1-octanol and its primary metabolite octanoic acid using two formulations, along with additional safety and efficacy measures. Participants with proven ethanol-responsive ET were recruited into 1 of 2 parts: (part A) a dose escalation study (1-64 mg/kg; n = 4), and (part B) a fixed dose (64 mg/kg; n = 10) balanced, open-label crossover design. Two participants in part B then completed an exploratory part C evaluating 128 mg/kg.Plasma samples were collected at 10 intervals during a 6-hour period postingestion. Efficacy was assessed using spirography, whereas safety was assessed with electrocardiograms, vital signs, adverse effects surveys, and an intoxication assessment. Plasma concentrations of 1-octanol were detectable at low levels whereas octanoic acid (OA) concentrations were approximately 100-fold higher. The half-life of OA was 87.6 minutes. This was matched by a clinical reduction in tremor severity of 32% at 90 minutes, assessed using spirography. The safety profile was favorable, with the most commonly reported adverse effect being dysgeusia (38%). Early detection and higher plasma concentrations of OA are a product of rapid metabolism of 1-octanol.OA pharmacokinetics mirrored the timing of clinical improvement. These findings provide preliminary evidence for a new class of compound that may be effective in the treatment of ET.

The neural processes underlying self-agency.

Self-agency (SA) is the individual's perception that an action is the consequence of his/her own intention. The neural networks underlying SA are not well understood. We carried out a novel, ecologically valid, virtual-reality experiment using blood oxygen level-dependent functional magnetic resonance imaging (fMRI) where SA could be modulated in real-time while subjects performed voluntary finger movements. Behavioral testing was also performed to assess the explicit judgment of SA. Twenty healthy volunteers completed the experiment. Results of the behavioral testing demonstrated paradigm validity along with the identification of a bias that led subjects to over- or underestimate the amount of control they had. The fMRI experiment identified 2 discrete networks. These leading and lagging networks likely represent a spatial and temporal flow of information, with the leading network serving the role of mismatch detection and the lagging network receiving this information and mediating its elevation to conscious awareness, giving rise to SA.

Exploring yawning with neuroimaging.

The neural mechanisms responsible for spontaneous yawning as well as contagious yawning are not well characterized. Neuroimaging is an essential tool for helping to identify the seminal neural structures and their inter-related functions to carry out this complex stereotyped motor program. Studies to date have explored the structural neural correlates of yawning through a series of lesion-based case reports and identified participatory structures at various levels of the central nervous system. Functional neuroimaging methods like fMRI have also shed led on the genesis of contagious yawning, though cohesive models explaining the neural mechanisms of contagious motor programs such as yawning remain limited.

Current role of functional MRI in the diagnosis of movement disorders.

The functional magnetic resonance (fMR) technique for brain mapping is a valuable tool for understanding both normal physiology and the dysfunction taking place in disorders of the brain. This article provides an overview of fMR imaging methods and their applications in the study of neurologic movement disorders. The article also reviews the current neuroimaging literature regarding parkinsonisms, dystonia, essential tremor, and Huntington disease, and includes a discussion of current methodological limitations and future directions for this exciting field.

Contagious yawning and the frontal lobe: an fMRI study.

We conducted a slow event-related fMRI experiment with naïve subjects' passively viewing yawn and various other control videos along with correlative behavioral testing. Specifically associated with the viewing of the contagious yawn was an area of activation in the ventromedial prefrontal cortex. These findings suggest a role for the prefrontal cortex in the processing of contagious yawning, while demonstrating a unique automaticity in the processing of contagious motor programs which take place independently of mirror neuron networks.