Blog
15 August 2019
Does low-level exposure to lead and manganese affect cognition and behaviour?
The Salud Ambiental Montevideo cohort is characterised by several social-environmental factors, including exposure to metals and cognitive performance. We caught up with Seth Frndak from the University of Buffalo to talk through CANTAB’s role in this epidemiological study.
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13 August 2019
Why does the largest twins registry in the UK use CANTAB?
TwinsUK has been using CANTAB for the last 10 years to enable their multi-modal, longitudinal research into typical and pathological ageing. We caught up with the Project Coordinator, Taha Bhatti, to discuss the cohort’s experience of completing the tasks, and transitioning to web-based delivery.
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6 August 2019
Using CANTAB to enhance pro-cognitive clinical trials in multiple sclerosis
Accurate outcome measures and suitable patient recruitment will be vital to the success of pro-cognitive treatment trials in multiple sclerosis (MS). In this article, we highlight the sensitivity of various CANTAB tasks to cognitive dysfunction in MS, and discuss the advantages of using these computerised assessments over paper-and-pencil based tests. We also consider how CANTAB tasks can be used to screen prospective participants for specific types and severities of cognitive impairment in order to gauge their suitability for inclusion in pro-cognitive intervention trials.
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18 July 2019
Interim Analysis of Online Screening as a Recruitment Strategy for the Models of Patient Engagement in Alzheimer’s disease (MOPEAD) Initiative
At AAIC 2019 we presented an interim analysis of online screening as a recruitment strategy for the MOPEAD initiative. The initial findings are positive, with high levels of engagement from older adults, as well as sensitivity to impairment.
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18 July 2019
Large-Scale Remote Assessment of Verbal Cognitive Function Using Automatic Speech Recognition
At AAIC 2019, we shared how to administer and score verbal neuropsychological assessments on participants own devices in a way that is acceptable, feasible and reliable.
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18 July 2019
Vocalic Markers of Cognitive Load Derived from Automated Verbal Neuropsychological Assessment and Machine Learning in a Large Scale Remote Sample
The effort participants exert in order to complete a task provides the researcher with a rich understanding of their level of functioning. At AAIC 2019, we shared how to derive this cognitive load from voice recordings.
