Collaboration with the UCSF Memory and Aging Center in the Development of Computer-based Technology for the Diagnosis of Neurodegenerative Diseases

Lead Research Organisation: University of York
Department Name: Electronics

Abstract

Parkinson's disease, Alzheimer's disease and Lewy Body Dementia are three of the most common neurodegenerative brain disorders, affecting in excess of 600,000 people in the UK alone. All three disorders share similar symptoms and consequently, can be easily misdiagnosed. For example, diagnosis of idiopathic Parkinson's disease based on clinical features is particularly unsafe with an error in diagnosis of up to 25% having been reported.

Dr Smith has developed a novel non-invasive assessment of Parkinson's Disease which uses a computer-based system to measure patients undertaking simple tasks used in conventional clinical evaluation, such as finger tapping and drawing simple geometric shapes. An initial clinical trial has recently been completed at Leeds General Infirmary which demonstrated that this technology can be used to reliably identify Parkinson's disease patients, despite them receiving medication to compensate for their symptoms. The technology has also recently been patented by IP21 Ltd on behalf of the University of York.

The aim of this work is to develop the technology further to discriminate between Parkinson's disease, Alzheimer's disease and Lewy Body Dementia. The purpose of the proposed visit to the Memory Center at the University of California, San Francisco is to establish a collaboration in which to study these conditions, having well integrated teams of academics and clinical staff using the latest methods of assessment.

Planned Impact

Some 700,000 people in the UK alone have dementia with over 180,000 new cases occurring in England and Wales every year [1]. The total cost of patients with late onset dementia in 2005/6 is estimated to be £17.03 billion [2]. It is evident that a reliable early diagnosis of these diseases is important for the patient and for the cost effectiveness of the NHS [3]. As stated in [2] "A lack of diagnosis means a lack of specific treatment and care for dementia. Diagnosis is the gateway for care."

Alzheimer's disease accounts for approximately two thirds of all dementia cases, but shares features with Lewy body dementia and Parkinson's disease with dementia. Parkinson's disease is particularly noteworthy as it is reported that up to 25% of all diagnoses is incorrect [4] having substantial consequences for patients receiving incorrect medication such as debilitating side effects and lack of treatment for their true condition. This is particularly important as potential new therapeutic approaches for Parkinson's disease with dementia become available [5]. The cost implications of misdiagnosis are obviously significant.

A reliable and cost effective test for these diseases will have a considerable impact both patient quality of life and NHS budgets. Currently, diagnosis of these conditions is largely subjective and ultimately unreliable. The test proposed here is objective, safe and easy to use and may be readily integrated into current clinical practice. Once developed, and the technology verified through a small scale investigation, further funding will be sought to develop a product suitable for use in the NHS and other health markets.

If successful, this new device can be used to:
i) Achieve reliable diagnosis of a number of neurodegenerative diseases.
ii) Aid effective administration of medication or therapy.
iii) Establish the effectiveness of new drugs or therapies.

Early diagnosis is important for management of these conditions and consequently, the introduction of this technology will have a major impact on:
i) Immediate patient benefit - appropriate treatment/therapy and improvement in quality of life.
ii) Long term patient benefit - better understanding of prognosis and ability to plan ahead.
iii) Benefit to NHS - ability to plan more accurately the administration and cost of the medication/therapy required.

[1] Ferri CP, Prince M, Brayne C, Brodaty H, Fratiglioni L, Ganguli M et al, Global prevalence of dementia: a Delphi consensus study, Lancet, December 17, Vol.366, No.9503, 2112-17, 2005.
[2] Dementia UK, A report into the prevalence and cost of dementia prepared by the Personal Social Services Research Unit (PSSRU) at the London School of Economics and the Institute of Psychiatry at King's College London, for the Alzheimer's Society.
[3] Metzler-Baddeley, C. "A Review of Cognitive Impairments in Dementia with Lewy Bodies Relative to Alzeimer's Disease and Parkinson's Disease with dementia," Cortex, Vol.43, 583-600, 2007.
[4] Levine, C., et al. "Diagnosis and Treatment of Parkinson's Disease: A Systematic Review of the literature", Evidence Report/Technology Assessment, Agency for Healthcare Research and Quality, No. 57, 2003.
[5] Dubois,B. et al. "Diagnostic Procedures for Parkinson's Disease Dementia," Movement Disorders, Vol.22, No.16, 2314-2324, 2007.
 
Description The main objective of this EPSRC Overseas Travel Grant was to develop a collaboration with the University of California San Francisco Memory and Aging Center. This has been extremely successful in the development of computer-based technology for the diagnosis and monitoring of Parkinson's disease, Alzheimer's disease and other neurodegenerative conditions. Two novel devices are currently being used to evaluate patients in San Francisco and a third will be introduced in early 2013.
Exploitation Route Four devices developed by my group are now in routine clinical use in nine leading medical centres worldwide, the result of collaborations I initiated with the University of California San Francisco, Veterans Affairs Medical Centre, San Francisco, University of Washington, Monash University, Melborne, Australia, Rashid Hospital, Dubai and the National Neuroscience Institute in Singapore, as well as Leeds, Liverpool and West Bromwhich hospitals in the UK.
Sectors Healthcare

 
Description The clinical focus of this research is the diagnosis, differentiation and monitoring of neurodegenerative conditions such as Parkinson's disease and Alzheimer's disease. This has transformed clinical practice allowing patients to be monitored with greater accuracy than previously possible in hospital and their own homes, leading the way to saving money and improving the patient's quality of life.
First Year Of Impact 2012
Sector Healthcare
Impact Types Economic,Policy & public services

 
Description Royal Academy of Engineering Enterprise Fellowship
Amount £84,500 (GBP)
Organisation Royal Academy of Engineering 
Sector Charity/Non Profit
Country United Kingdom
Start 03/2013 
End 02/2014
 
Description Wellcome Trust Centre for Chronic Diseases and Disorders
Amount £18,464 (GBP)
Funding ID Centre for Chronic Diseases and Disorders 
Organisation Wellcome Trust 
Sector Charity/Non Profit
Country United Kingdom
Start 07/2012 
End 12/2012
 
Title SIGNAL PROCESSING METHOD AND APPARATUS 
Description The invention provides signal processing algorithms and apparatus for detecting bradykinesia, tremor, or other symptoms of neurological dysfunction in subjects, using three-dimensional sensors to tract finger and hand position. The invention provides Cartesian Genetic Programming networks and particular function blocks for such networks to enable identification of subjects exhibiting such symptoms. 
IP Reference WO2012098388 
Protection Patent application published
Year Protection Granted 2012
Licensed No
Impact None to date.
 
Company Name ClearSky Medical Diagnostics Ltd. 
Description ClearSky Medical Diagnostics specialises in medical devices for the diagnosis and monitoring of Parkinson's disease, Alzheimer's disease and a range of other neurodegenerative conditions. 
Year Established 2013 
Impact A health economics survey has been completed on behalf of ClearSky Medical Diagnostics showing a convincing economic case for the devices under development.
Website http://www.clearskymd.com/