蓝莓视频

Researchers from the UK Dementia Research Institute, Imperial College London, UCL and Newcastle University are collaborating in a major new project to develop a technology that could help identify people at risk of developing dementia by analysing their sleep patterns. This project is led by Prof David Sharp, Centre Director of the UK DRI Care Research & Technology Centre, and Professor of Neurology at Imperial College London, as well as the 蓝莓视频 BRC Brain Science Theme Lead.

The Dementia Sleep Index, created by Dr Eyal Soreq and team (UK DRI Care Research & Technology, hosted by Imperial College London and the University of Surrey), is the outcome of a three-year collaboration with technology company Withings, using their Sleep Analyzer tracking mat. By comparing the sleep patterns of people living with dementia to data that equates to 3.7 million nights of sleep in the general population, Dr Soreq and his collaborators created a ‘digital biomarker’ that unveils a signature characteristic of sleep disorders frequently observed in people with dementia. In this new project, funded by the National Institute for Health and Care Research (蓝莓视频), they will now extend this approach to see if it is possible to identify individuals at risk of developing dementia.

Prof Sharp said, 鈥淭his is a very exciting opportunity to explore whether new digital monitoring technology can be used to identify early signs of neurodegeneration in the brain. If successful the work will provide a completely new method for dementia screening.鈥�

To do this, the team will study 250 individuals from the Insight 46 study, which is drawn from members of the MRC National Survey of Health and Development (NSHD) 1946 British Birth Cohort. These individuals were all born in the same week in 1946, and now at 77 years old, have been studied throughout their lives and had detailed investigations of their brain health. Researchers will compare the sleep data from these participants with their brain scans and health data to see if they can predict which individuals have evidence of poor brain health.

Prof Jonathan Schott, UK DRI Clinical Advisor and Professor of Neurology at UCL, said: 鈥淪tudying the Insight 46 cohort offers us a unique opportunity to really understand the way sleep behaviour relates to dementia risk. If successful, this technique has huge potential for identifying people within the wider population who might take part in clinical trials or, in due course, treatments to prevent cognitive decline.鈥�

Disrupted sleep is a common symptom experienced by people living with dementia, however, we still do not know if this is a consequence or a driving factor in the disease progression. Growing evidence suggests that long-term sleep disturbances could be a risk factor for dementia, and scientists are working to uncover the mechanisms behind this potential link.

The Sleep Analyzer tracking mats used to monitor sleep are low-cost and unobtrusive. The mats are placed underneath a person鈥檚 mattress and can detect heart rate, respiration rate, sleep phases and when the person gets in and out of bed. Sleep Analyzer is a medical device that can detect sleep apnea and snoring time. The data is sent back to the research team in real-time through a cellular data network, meaning that the device is extremely easy for participants to use.

Meanwhile, a team from Imperial鈥檚 Helix Centre and Newcastle鈥檚 Centre of Excellence in Dementia Research will work with members of the public, and health and social care professionals, to design a service that could be used to assist dementia diagnosis using this digital biomarker in the NHS.

The team will co-design the service with representative users, and explore issues around acceptability, accessibility and understanding the consequences of the data.

Prof Dame Louise Robinson, Professor of Primary Care and Ageing and Regius Professor of Ageing, Newcastle University, said: 鈥�This innovative project brings together a wide range of expertise to explore whether everyday, home-based technology can help us in the detection and monitoring of dementia and whether such tools are acceptable to the public. 鈥�

Link to the original article from the UK Dementia Research Institute: