Non-invasive brain stimulation to suppress pathological tremors

Lead Research Organisation: University of Oxford
Department Name: Medical Sciences Divisional Office

Abstract

Tremor is the fast involuntary movement of a body part that forms a disabling symptom in countless movement disorders, most commonly Essential Tremor and Parkinson's disease. It is currently estimated that as many as 3.4 million people are afflicted with some form of tremor in the UK with few viable treatment options. Recently, I demonstrated that rhythmic electrical stimulation applied across the scalp can controllably suppress tremor in Parkinson's disease by up to 50%. I have continued to pursue this avenue of research and there is now considerable evidence that this effect can be substantially improved. The objective of this proposal is therefore the development of a non-invasive form of electrical stimulation as a realisable therapy for those afflicted with disabling tremors.

Determining the precise form of stimulation, where that stimulation should be delivered, and who would be responsive to such treatment is a major undertaking. Whether this form of stimulation will prove equally effective across pathology is a key question, after all, different tremors are distinct. In Parkinson's disease tremor typically emerges at rest, while Essential Tremor emerges only during use of the affected muscles. This latter form is considered far more disabling to the patient, severely affecting activities of daily living. But the precise form of tremor can vary even for patients diagnosed with the same disease. Indeed, my previous studies into Parkinson's disease have shown that not all patients respond equally to stimulation. Instead, those with the most consistent tremors showed greatest benefit. Essential Tremor is one such condition that could benefit greatly from this approach. To understand this dependence, and in-so-doing identify those patients who would benefit most from stimulation, a thorough characterisation of real-world activity is planned that will assess the typical emergence characteristics of tremor over the course of everyday life.

A key objective of this study is the identification of those brain regions responsible for tremor that are also susceptible to stimulation across the scalp. Using mechanistic hypotheses of tremor production, four carefully chosen electrode arrangements will be tested to reveal the gross anatomical regions implicated in the amelioration of tremor by stimulation. Of course, these arrangements can only act as a first approximation since no further optimisation is possible without extensive trialing or, more pragmatically, functional neuroimaging of the brains response to stimulation. This latter option is precisely the approach taken later in the study that will identify the specific anatomical substrates impacted by the most-effective electrode arrangements. This in turn will allow electrical field models to be built, then extended to provide a predictive model describing the optimal electrode arrangement required to focally target the implicated brain regions. This will likely involve multiple small electrodes to permit electric "field steering". Targeted suppression will optimise therapeutic benefit whilst minimising potential side-effects. In a longer term view these configurations will be adapted into a practical therapeutic application through non-invasive "skin tattoos", or minimally invasive surgical procedures. Delivery will be driven by intelligent control systems informed by my characterisation of real-world utility.

In summary, this project builds on my unique experience in the field, with assistance from world-renowned international collaborators, to develop a non-invasive form of electrical stimulation as a realisable therapy for those afflicted with disabling tremors. The combined resource of behavioural, functional and modelling data will provide a rich legacy dataset on which mechanistic hypotheses of tremor production and refinements to the delivery system can be built.

Technical Summary

Tremor is a disabling symptom in many movement disorders, estimated to affect over 3.4 million people in the UK alone. The lack of any clear pathophysiology means that there have been no new interventional tools developed for the treatment of tremor in the last 20 years. Recently, I pioneered an approach in which non-invasive transcranial alternating current stimulation (TACS) was delivered during bouts of tremor over sensorimotor cortex at the patients' individual tremor frequency. When delivered open-loop a slow precession occurred between stimulation and tremor waveforms (as measured by accelerometry), permitting those alignments that induced the greatest suppression in tremor to be identified. By fixing this relationship in a closed-loop arrangement I was able to induce a 50% reduction in resting tremor amplitude for Parkinson's disease. Yet there is a growing body of evidence that the effect-size can be dramatically increased. It also remains unclear whether this approach could be adopted to provide a generic treatment for all forms of tremor. My objective is the development of a non-invasive form of electrical stimulation as a realisable therapy for those afflicted with disabling tremors.

Tremor itself is a complex, evolving entity with an unclear mechanism of emergence. But tremors are distinct - in Parkinson's disease the tremor emerges at rest, while it emerges in Essential Tremor during use of the affected limbs. I aim to employ an integrated approach encompassing contemporary brain stimulation techniques, neuroimaging and electric field modelling to identify those neural substrates responsive to electrical stimulation, and tune that stimulation to maximal effect through cutting-edge electric field steering technology. By evaluating these techniques in the two most common tremor syndromes (Parkinson's disease and Essential Tremor), the widespread efficacy and applicability of the approach will be assessed.

Planned Impact

1) Patients suffering from Essential Tremor and Parkinson's disease

This research will be most relevant to patients suffering from the two most common movement disorders - namely Parkinson's disease and Essential Tremor. Both are associated with tremor, the uncontrollable rhythmic movements of a body part. Essential Tremor is estimated to affect 2-4% of the population, while Parkinson's disease currently affects around 120,000 patients in the UK alone. Current medication options have inconsistent and partial effects leaving many patients with no viable treatment options.

The principal objective of this proposal is the development of a non-invasive form of electrical stimulation as a realisable therapy for those afflicted with disabling tremors.

2) Patients suffering from other forms of tremor

With an aging population, and a prevalence rate as high as 15% in 50-89 year olds, the number of people currently afflicted with non-specific forms of tremor is estimated to be as high as 3.4 million in the UK alone.

While the focus of this proposal is on the two most common movement disorders (Parkinson's disease and Essential Tremor), the results of this research will likely be applicable to many other pathologies associated with disabling tremors, most notably primary orthostatic tremor, neuropathic tremor, dystonic Tremor, enhanced physiological tremor and tremor resulting from acquired brain injury.

3) Other patient groups

The results of this research will inform on our capacity to accurately deliver non-invasive brain stimulation for clinical benefit. This has far reaching implications for several other patient groups. Tremor is a rhythmic phenomenon, therefore the most direct extension of this work might focus on the treatment of pathologies associated with other rhythmic disturbances, such as schizophrenia, Alzheimer's disease and the bradykinetic symptoms of Parkinson's disease. There are also a number of other conditions where non-rhythmic brain stimulation is being trialled, notably in stroke rehabilitation. Improved forms of targetted stimulation therapy would be of considerable benefit to those patient groups also.

4) Healthcare industry

Tremor is a poorly managed medical symptom. The prospect of a targeted interventional therapy that could be delivered non-invasively would be of great commercial interest. Current approaches, such as deep brain stimulation, involve highly invasive neurosurgical procedures that bring with them associated costs and complications, including haemorrhage. The current proposal would have two distinct benefits to the healthcare industry. First, this proposal could inform on the effectiveness of patterned forms of stimulation that would improve battery life and efficacy of already implanted medical devices. Secondly, this proposal opens the door to the development of a new wearable technology that would become active when necessary to suppress on-going tremulous activity.

Recently, pharmaceutical companies have also shown interest in this research field, as evident from the recent $50 million venture capital created by GlaxoSmithKline to invest in research into bioelectronics; i.e. electrical stimulation of nerve fibers to restore health. Indeed, related proposals focussing on "closed-loop" electrical stimulation have been launched including the Defense Advanced Research Projects Agency's (DARPA) Systems-based Neurotechnology for Emerging Therapies (SUBNETS) program.

5) Wider public

Transcranial electrical stimulation is an active area of research that has captured the imagination of the public for its clinical benefit, but also in applications as diverse as augmented brain training. Media coverage of the technique is currently ballooning with widespread interest in its potential.

Publications

10 25 50
 
Description MRC BNDU, Oxford 
Organisation Medical Research Council (MRC)
Department MRC Brain Network Dynamics Unit at the University of Oxford (BNDU)
Country United Kingdom 
Sector Public 
PI Contribution I have provided expertise, training and support in experimental design, brain stimulation techniques and computational modelling with regard to research projects undertaken in the MRC BNDU, principally in collaboration with the Brown Group.
Collaborator Contribution The MRC BNDU has provided intellectual input on projects, an avenue for patient recruitment, and shared access to specialist equipment, for brain stimulation and recording electrophysiological signals.
Impact This collaboration has previously led to peer-review publications, and work is on-going to progress this work.
Start Year 2016
 
Description Physiological Neuroimaging Group, OHBA, Oxford 
Organisation University of Oxford
Department Oxford Centre for Human Brain Activity (OHBA)
Country United Kingdom 
Sector Academic/University 
PI Contribution I have provided expertise in brain stimulation techniques and computational modelling with regard to research projects undertaken at OHBA, principally in collaboration with the Physiological Neuroimaging Group.
Collaborator Contribution OHBA provided supervision and funding for a project that we collaborated on with regards simultaneous brain stimulation and neuroimaging, a combination of techniques that I will be exploring as part of my research grant going into year 2.
Impact A potential publication is currently under review.
Start Year 2016
 
Description Speech & Brain Research Group, Experimental Psychology, Oxford 
Organisation University of Oxford
Department Department of Experimental Psychology
Country United Kingdom 
Sector Academic/University 
PI Contribution I have so far provided expertise in data analysis (including statistical analysis) towards research projects within Prof Watkins' Speech & Brain Research Group.
Collaborator Contribution Prof Watkins is a named collaborator on my research grant, providing important intellectual input on brain imaging techniques. This specifically includes experimental design where FMRI is combined with brain stimulation techniques.
Impact No outcomes have yet resulted from this collaboration.
Start Year 2016
 
Title METHODS AND SYSTEM FOR CHARACTERISING TREMORS 
Description A method of characterising tremor stability in a subject is described for a subject having an involuntary tremor symptomatic of a neurological disorder. The method comprising: identifying a series of tremor cycles from measured tremor data of the subject, said tremor cycles measuring periodic variation in movement of the subject due to the tremor; determining an instantaneous frequency for each tremor cycle and collating the instantaneous frequencies; determining an instantaneous variation between the instantaneous frequencies of each pair of adjacent tremor cycles within the series; comparing the instantaneous variation to the collation of determined instantaneous frequencies to determine a distribution of instantaneous variations; and determining an index value of the distribution of the instantaneous variations, said index value defining the stability of the tremor. 
IP Reference WO2018134579 
Protection Patent application published
Year Protection Granted 2018
Licensed No
Impact Misdiagnosis among tremor syndromes is common, and can impact on both clinical care and research. To date no validated neurophysiological technique is available that has proven to have good classification performance, and the diagnostic gold standard is the clinical evaluation made by a movement disorders expert. We present a robust new neurophysiological measure, the tremor stability index, which can discriminate Parkinson's disease tremor and essential tremor with high diagnostic accuracy. The
 
Title Tremor Stability Index 
Description In collaboration with Prof Peter Brown (MRC BNDU, Oxford University) and Prof Vicenzo Di Lazzaro (Universita Campus Bio-Medico Di Roma, Italy) we developed a robust new neurophysiological measure, the Tremor Stability Index (TSI), that can discriminate Parkinson's disease tremor (PD) and Essential tremor (ET) with high diagnostic accuracy. Misdiagnosis among tremor syndromes is common, and can impact on both clinical care and research. To date no validated neurophysiological technique is available that has proven to have good classification performance, and the diagnostic gold standard is the clinical evaluation made by a movement disorders expert. The TSI is derived from kinematic measurements of tremulous activity and has so-far been assessed in over 86 recordings of tremor-dominant PD and postural tremor recordings in ET. Using clinical diagnosis as the de facto gold standard (validated against PET and postmortem data where available), 100 seconds of tremor recording were selected for analysis in each patient where TSI alone gave good classification performance in both test and validation datasets. TSI sensitivity, specificity and accuracy ranged between 88-95%, 88-95% and 90-92%, respectively. Importantly, classification accuracy proved independent of operator, recording device or posture. TSI can aid in the differential diagnosis of the two most common tremor types, it affords high diagnostic accuracy, can be derived from short, cheap, widely available and non-invasive tremor recordings, and is independent of operator or postural context in its interpretation. The algorithm used to determine TSI from kinematic recordings has been filed for patent approval, and is currently under review for publication in a leading scientific journal. 
Type Diagnostic Tool - Non-Imaging
Current Stage Of Development Initial development
Year Development Stage Completed 2016
Development Status Under active development/distribution
Impact See above.