To improve assessments & early diagnosis

Clinical data and brain scans from a cohort of patients, controls and ‘at-risk’ individuals collected to better understand the different onset and progression of Parkinson’s disease in different people. 

Led by: Michele Hu, Richard Wade-Martins and Clare Mackay
Find out more: https://www.opdc.ox.ac.uk/home

To improve diagnosis of early Alzheimer’s disease by building a database of pre-clinical measures such as brain scans, cognitive and memory tests, scans of magnetic fields generated by the brain, retinal imaging, blood tests, and the use of wearable technology to measure movement, gait and ongoing cognitive abilities.

Led by: Vanessa Raymont, Ivan Koychev, Tony Thayanandan, Emma Craig
Find out more: https://www.dementiasplatform.uk/our-impact/case-studies/deep-and-frequent-phenotyping-study

Using large-scale population data from UK Biobank to compare different models of dementia risk.

Led by: Sana Suri

Developing a classification system for brain characteristics related to cerebral small vessel disease (CSVD), based on multiple types of MRI brain scan images, to investigate the influence of CSVD on cognitive decline and dementia risk in the Whitehall II cohort.

Led by: Sana Suri
Find out more: https://www.psych.ox.ac.uk/research/neurobiology-of-ageing/research-projects-1/whitehall-oxford

Using advanced brain scans and memory tests, this study hopes to identify the earliest features of Alzheimer’s disease, observe disease progression over time, and develop new ways to measure the effectiveness of future treatments.

Led by: Kia Nobre, Mark Woolrich, Vanessa Raymont, Andrew Quinn, Jemma Pitt, Tony Thayanandan, James Rowe, John Issac
Find out more: https://www.dementiasplatform.uk/our-impact/case-studies/study-into-early-alzheimers-disease-treatments

https://www.oxfordmail.co.uk/news/18213217.oxford-volunteers-wanted-alzheimers-brain-scan-study/

https://www.oxfordmail.co.uk/news/18212225.oxford-dementia-study-starts-getting-results/

A UK-wide study that aims to identify risk factors for dementia in mid-life and find ways to predict who is at greatest risk of dementia in the future.

Led by: Ivan Koychev, Craig Ritchie, Karen Ritchie
Find out more: https://preventdementia.co.uk

Study exploring the use of a new positron-emission tomography (PET) brain scanning method to measure levels of Tau, a protein related to Alzheimer’s disease, in the brain.

Led by: Ivan Koychev
Find out more: https://www.dementiasplatform.uk/our-impact/imaging-network/tau-pet

A sub-study of the PREVENT Dementia program that uses virtual reality navigation and MRI brain scans aiming to identify changes in the brain that predict who is at risk of dementia.

Led by: Ivan Koychev, John O’Brien
Find out more: https://preventdementia.co.uk/researchers-gather-for-first-prevent-imaging-meeting/

A joint clinical-research service for NHS patients with memory problems, providing patients and doctors with access to high-quality assessments, including MRI brain scans, and research opportunities. 

Led by: Clare O’Donoghue, Clare Mackay, Lola Martos, Vanessa Raymont, Jasmine Blane
Find out more: https://oxfordhealthbrc.nihr.ac.uk/our-work/brain-health-centre/the-memory-clinic/

Recruiting a cohort of healthy older adults, who will complete an MRI brain scan, cognitive testing and questionnaires, to provide a comparison for data collected from patients attending the Brain Health Centre clinical service. 

Led by: Clare O’Donoghue, Clare Mackay, Lola Martos, Vanessa Raymont, Jasmine Blane
Find out more: https://oxfordhealthbrc.nihr.ac.uk/our-work/brain-health-centre/the-memory-clinic/researchers/

Developing and refining standardised digital cognitive tests, which will be hosted online and facilitate remote follow-ups for patients and assessment of large numbers of research participants.

Led by: Nahid Zokaei, Kia Nobre
Find our more: https://www.psy.ox.ac.uk/research/the-brain-cognition-lab

A series of studies that uses the ‘real-world’ nature of virtual reality tasks to study memory, attention, and emotional deficits.

Led by: Kia Nobre, Dejan Draschkow
Find out more: https://www.psy.ox.ac.uk/research/the-brain-cognition-lab

Research examining the validity of a new set of behavioural tasks that aim to study a number of different types of cognitive skills, including attention, inhibition, task shifting, and short- and long-term memory, allowing us to determine whether the new sensitive measures can eventually replace traditional, less-sensitive tests currently used in clinical practice. 

Led by: Kia Nobre, Nahid Zokaei
Find out more: https://oxfordhealthbrc.nihr.ac.uk/our-work/brain-health-centre/

A register for healthy research volunteers who are interested in contributing to dementia research. Health data from their existing research cohorts, together with newly completed cognitive assessments, allows volunteers to be matched with new dementia research studies.

Led by: John Gallacher, Ivan Koychev
Find out more: https://www.greatmindsfordementia.uk/

An international study across several European countries aiming to better understand the factors that lead to a diagnosis of Alzheimer’s dementia, and to more rapidly develop new treatments which may prevent Alzheimer’s dementia. 

Led by: Vanessa Raymont, Craig Ritchie
Find out more: http://ep-ad.org/

A sub-study of the PREVENT Dementia program that explores the use of smart technology and spatial positioning to assess cognitive skills, in comparison to traditional means of cognitive assessment.

Led by: Ivan Koychev
Find out more: https://preventdementia.co.uk/for-researchers/

Study testing the use of a variety of digital and wearable products to provide information about how healthy older adults as well as patients with Alzheimer’s disease manage day-to-day activities.

Led by: Ivan Koychev, Dag Aarsland
Find out more: https://www.imi.europa.eu/projects-results/project-factsheets/radar-ad