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CANTAB Research Grant funds new ways to assess vascular cognitive impairment and dementia (VCID) in

Dr Simone De Luca recently received the 2020 CANTAB Research Grant primary award for her project: “New ways to assess vascular cognitive impairment and dementia (VCID) in chronic lung disease”. We spoke to her about the impact winning would have on her research.

Guidance for including elderly patients in clinical trials

Older adults shoulder a disproportionate burden of chronic diseases and consumption of prescription drugs. Nevertheless, older adults, especially those aged over 75 years, are chronically under-represented in clinical trials. In this two part series, Dr Kiri Granger explores the risks of under-presentation and outlines guidance for including older adults in clinical trials.

Read on for session two: key design considerations when including elderly patients in clinical trials, with a focus on cognitive assessment.  

6 tests for assessing cognition in Parkinson’s disease

Cognitive dysfunction in Parkinson’s disease remains a significant, unmet therapeutic need for patients; as such it is vital that there is rigorous research into the topic. Here we will discuss six CANTAB tasks that can address this research gap. 

CANTAB tests predict functional decline in patients with amnestic mild cognitive impairment

We presented a novel, predictive model of functional decline at CTAD 2018. The model suggests that CANTAB PAL and SWM provide essential screening information when recruiting patients with amnestic mild cognitive impairment into Alzheimer’s disease clinical trials.

Using Bayesian methods to model normative CANTAB cognitive performance across adulthood

At CTAD 2018 we shared our new data on why a Bayesian approach is best to describe normative cognitive performance, especially when making scientifically robust comparisons to neurologically impaired groups. 

Using CANTAB to investigate age-related cognitive changes associated with dementia in Down syndrome

PhD researcher, Rosalyn Hithersay, spoke to us about her recent publication on which cognitive tests are most sensitive to the early stages of dementia in Down syndrome.

Neural Network classification of longitudinal cognitive data for prediction of individual-level chan

For the first time, Neural Network classifiers have been applied to changes in CANTAB PAL performance between baseline and 10 months to accurately predict the development of MCI at 20 months. Dr Elizabeth Baker, Statistical Scientist at Cambridge Cognition, presented the novel findings at AAIC 2018

Revolutionising the detection of cognitive impairment in multiple sclerosis with technology

Cognitive dysfunction is a leading cause of disability in multiple sclerosis (MS), yet practical restraints mean it often goes unassessed in routine clinical care. Promising new research, published in Frontiers in Neurology, suggests the Cambridge Neuropsychological Test Automated Battery (CANTAB) may offer a brief and sensitive technological solution.

Comparing visuospatial associative learning for a middle-aged birth cohort and patients with schizop

Visuospatial memory is extremely heterogeneous in schizophrenia. In a large population study, around a fifth of patients with schizophrenia showed similar errors rates to the top 50% of the general population. Conversely, half of the patients sampled showed substantial impairments. 

The CANTAB Paired Associates Learning task as a pre-screening tool for clinical trials

Enriching participant eligibility for clinical trials through pre-screening for cognitive deficit.

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