Successful brain function in the very old (90+ years) may inform understanding of how to maintain healthy brain function across the lifespan. Researchers will develop a derived 90+ dataset for continued population research.
Selective recruitment of high-risk participants into clinical trials for dementia research is both cost effective and highly informative. This work will help inform highly specific recruitment to clinical trials of dementia treatments.
Understanding the predictors of Alzheimer’s disease will aid early diagnosis. Researchers will use machine learning techniques with DPUK cohorts to support the efficient design of clinical trials.
Unified sources of data from cohort studies will aid diagnosis and treatment of dementia.
We know from previous studies that poor mental health can have a harmful effect on cognitive function in old age. In this study we are using the existing mental health and cognitive data in five cohorts to examine anxiety, depression and stress.
Prevail Therapeutics is a biotech company that is developing gene-therapy for brain disorders such as Parkinson's disease. The researchers are using the Data Portal to investigate the genetics of the disease.
There is increased evidence of beneficial, though modest, effects from clinical trials for three drugs which are acetylcholinesterase inhibitors (AcEIs). The aim of the study is to enrich the evidence on AcEIs by looking at their effectiveness in more realistic settings.
The sex-hormones testosterone and oestrogen are implicated in psychological behaviour and as such, also in psychiatric disorders. This study will explore hormone levels and cognitive performance to investigate the associations and interactions in these variables.
Sexual abuse, deprivation and family dysfunction are traumatic events which some children live through, and which are known to be linked to mental health in adulthood. Researchers are exploring these associations across four DPUK cohorts in the Data Portal.
Researchers have curated the genetic datasets relating to the donated brains in the Brains for Dementia Research cohort study.
This study will conduct many individual analyses to investigate associations between lifestyle activities, physical fitness, social engagement, biomedical measures and mental health on later life cognition
Harmonising large imaging databses to assess white matter tissue hyperintensities in cognitive ageing
This study aims to develop and refine tools for harmonising measurements of white matter hyperintensities in existing DPUK cohorts.
Cardiovascular and metabolic diseases impact organs and tissues beyond those of the cardiovascular system. However, despite the social burden, the causative mechanisms are still poorly understood.
Research suggests higher Body Mass Index (BMI) in midlife is associated with lower cognitive function in later life. However, this association is not found to be consistently observed across age groups.
Assessing the trajectory of cognitive change over time is of utmost importance in the pursuit of understanding cognitive ageing and dementia. In this study we assess datasets with detailed longitudinal cognitive records.
The impact of vascular factors on the declining incidence of dementia varies widely between studies. Filling this knowledge gap is critical to the development of public health based dementia prevention strategies.
It is well established that psychiatric symptoms are associated with cognitive decline and neural degeneration in older age. This study aims to evaluate in more detail the nature of the associations.
Disease models which use ‘real world data’ from existing population cohorts can be used to improve efficiency of drug treatment strategies.
Dementias Platform UK (DPUK) proposes to develop its own data discovery tools so that data can be highly categorised, enabling researchers to more clearly identify cohorts which are applicable for their research proposals.