Dr Jenny Waymont

Jenny joined the Centre for Clinical Brain Sciences (CCBS) in 2022 as a Research Fellow. Her main project involves quantifying perivascular spaces in T1 brain imaging of UK Biobank participants. Jenny’s background is in psychology, having gained a BSc in Psychology with Clinical and Health Psychology and Master’s degrees in Psychological Research and in Neuroimaging at Bangor University, North Wales. Jenny completed her PhD in Medical Imaging at the University of Aberdeen, exploring life course determinants and outcomes of white matter hyperintensity burden in healthy ageing and in Alzheimer’s Disease. Jenny has also worked on image analysis in industry, analysing imaging and cognitive clinical endpoints in a Phase III clinical trial for a novel Alzheimer’s Disease treatment. Outside of image analysis, Jenny has worked on clinical service development, working with Brain Health Scotland, NHS Scotland, and Scottish Government to establish a national care pathway for brain health. She is interested in clinical and psychosocial factors across the life span relating to brain health and neurodegenerative diseases, as evaluated by neuroimaging, cognitive, and functional outcomes.

Key Publications:

Ritchie, C.W., Waymont, J.M.J., Pennington, C., et al. (2021). The Scottish Brain Health Service Model: Rationale and Scientific Basis for a National Care Pathway of Brain Health Services in Scotland. Journal of Prevention of Alzheimer’s Disease. DOI: 10.14283/jpad.2021.63

Khezrian, M., Waymont, J.M.J., Myint, P.K., McNeil, C.J., Whalley, L.J., Staff, R., & Murray, A.D. (2020). Aspirin moderates the association between cardiovascular risk, brain white matter hyperintensity total lesion volume and processing speed in normal ageing. Maturitas, 133 (49-53). DOI: 10.1016/j.maturitas.2020.01.001

Waymont, J.M.J., McNeil, C.J., Waiter, G.D., & Murray, A.D. (2019). ‘A risk factor profile of increased white matter hyperintensity burden in the Aberdeen Children of the Nineteen Fifties Cohort’. Alzheimer’s & Dementia, 15 (7): P764-P765. DOI: 10.1016/j.jalz.2019.06.2817.

Waymont, J.M.J., Petsa, C., McNeil, C.J., Murray, A.D., & Waiter, G.D. (2019). Validation and comparison of two automated methods for quantifying brain white matter hyperintensities of presumed vascular origin. Journal of International Medical Research, Special Issue: Cerebral Small Vessel Disease: Recent Trends. DOI: 10.1177/0300060519880053