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BACKGROUND: Tremor is a debilitating symptom of Multiple Sclerosis (MS). Little is known about its pathophysiology and treatments are limited. Clinical trials investigating new interventions often rely on subjective clinical rating scales to provide supporting evidence of efficacy. NEW METHOD: We present a novel instrument (TREMBAL) which uses electromagnetic motion capture technology to quantify MS tremor. We aim to validate TREMBAL by comparison to clinical ratings using regression modelling with 310 samples of tremor captured from 13 MS participants who performed five different hand exercises during several follow-up visits. Minimum detectable change (MDC) and test-retest reliability were calculated and comparisons were made between MS tremor and data from 12 healthy volunteers. RESULTS: Velocity of the index finger was most congruent with clinical observation. Regression modelling combining different features, sensor configurations, and labelling exercises did not improve results. TREMBAL MDC was 84% of its initial measurement compared to 91% for the clinical rating. Intra-class correlations for test-retest reliability were 0.781 for TREMBAL and 0.703 for clinical ratings. Tremor was lower (p = 0.002) in healthy subjects. COMPARISON WITH EXISTING METHODS: Subjective scales have low sensitivity, suffer from ceiling effects, and mitigation against inter-rater variability is challenging. Inertial sensors are ubiquitous, however, their output is nonlinearly related to tremor frequency, compensation is required for gravitational artefacts, and their raw data cannot be intuitively comprehended. CONCLUSIONS: TREMBAL, compared with clinical ratings, gave measures in agreement with clinical observation, had marginally lower MDC, and similar test-retest reliability.

Impaired balance is a major contributor to falls and diminished quality of life in Parkinson's disease, yet the pathophysiology is poorly understood. Here, we assessed if patients with Parkinson's disease and severe clinical balance impairment have deficits in the intermittent and continuous control systems proposed to maintain upright stance, and furthermore, whether such deficits are potentially reversible, with the experimental therapy of pedunculopontine nucleus deep brain stimulation. Two subject groups were assessed: (i) 13 patients with Parkinson's disease and severe clinical balance impairment, implanted with pedunculopontine nucleus deep brain stimulators; and (ii) 13 healthy control subjects. Patients were assessed in the OFF medication state and blinded to two conditions; off and on pedunculopontine nucleus stimulation. Postural sway data (deviations in centre of pressure) were collected during quiet stance using posturography. Intermittent control of sway was assessed by calculating the frequency of intermittent switching behaviour (discontinuities), derived using a wavelet-based transformation of the sway time series. Continuous control of sway was assessed with a proportional-integral-derivative (PID) controller model using ballistic reaction time as a measure of feedback delay. Clinical balance impairment was assessed using the 'pull test' to rate postural reflexes and by rating attempts to arise from sitting to standing. Patients with Parkinson's disease demonstrated reduced intermittent switching of postural sway compared with healthy controls. Patients also had abnormal feedback gains in postural sway according to the PID model. Pedunculopontine nucleus stimulation improved intermittent switching of postural sway, feedback gains in the PID model and clinical balance impairment. Clinical balance impairment correlated with intermittent switching of postural sway (rho = - 0.705, P < 0.001) and feedback gains in the PID model (rho = 0.619, P = 0.011).

Type: Poster Abstract Category: Clinical aspects of MS - Clinical assessment tools Background: Tremor in MS (MST) is difficult to treat and the development of new interventions is limited by the absence of universal measuring systems. At present, therapeutic outcomes are measured by a variety of clinical rating scales that are subjective and lack sufficient sensitivity. With increasing use of interventional treatments such as Botulinum toxin injections or Deep Brain Stimulation for MST, it has become critical to develop precise measurement instruments. Objective: To clinically validate the TREMBAL software in MST. Methods: TREMBAL (Bionics Institute, Melbourne, Australia) utilises an electromagnetic motion tracker (Ascension, Vermont, US) to acquire absolute displacements and rotations of a tremulous body part. Tremor was recorded bilaterally from four locations (second phalanx of the middle finger, wrist dorsum, forearm and upper arm) in five positions (hands resting on lap, arms outstretched in front, finger-nose, batwing static and batwing action). Tremor exercises were video recorded (GoPro Hero3, GoPro Inc., San Mateo, California) and rated by two experts using the 5-point Unified Tremor Rating Assessment (UTRA) scale where 0=no tremor and 4=severe. TREMBAL tremor displacements (measured in units of millimetres) were averaged and log transformed to match the distribution of clinical ratings. Data were pooled across exercises. Congruence between TREMBAL measures and mean clinical ratings was explored using regression analysis and Pearson´s correlation. Results: We assessed ten MST patients over 6 months and rated 200 videos. The median pooled UTRA score was 0.5 (interquartile range 0, 1.5). The average TREMBAL recorded tremor displacement was 1.65 mm (standard deviation 2.1). A strong correlation between UTRA scores and log transformed TREMBAL displacement was found, r = 0.749, p< 0.001. Conclusions: TREMBAL measurements are highly accurate when compared to clin

Parkinson’s disease (PD) and Essential Tremor (ET) are progressive conditions with high world-wide prevalence. Deep Brain Stimulation (DBS) is an accepted therapy, yet the underlying therapeutic neurophysiological mechanisms are not well understood. We studied the wash in/out times of DBS therapy for tremor suppression and speech side-effect to gain further insight into these mechanisms and to establish guidelines for future research. Methods: After obtaining informed consent, 10 patients (ET or tremor-dominant PD) with DBS were recruited into our study from the medical registers of two neurologists. Over the course of a two hour assessment, DBS amplitude was systematically varied between 100% (therapeutic level) and 0% (DBS off) with 75% and 50% as intermediate steps. After each DBS adjustment, patients were asked to perform the following exercises: hands outstretched, finger-nose-finger, sustained vowel and reading tasks. The tasks were also performed at approximately 5 minutes and 10 minutes post-adjustment. Tremor was objectively measured using an electromagnetic tracking system and speech was recorded using a head-mounted microphone - both were analysed using in-house design software. Results: While an immediate increase in tremor severity was observed when DBS was disabled, preliminary qualitative results indicate that it may take more than 10 minutes to achieve steady-state. In contrast, we found that incremental increases in DBS achieved tremor-steady state within seconds. Speech parameters generally reached steady values within 2 minutes. Discussion: Wash in and wash out times must be taken into consideration during patient assessments, both in standard care and scientific studies. Where DBS parameters are randomised during patient assessment, at least 10 minutes must be allowed during consecutive trials to allow for wash in/out. This time can be reduced to two minutes when a systematic assessment procedure is adopted, where each subsequent trial increments