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Jennifer Waymont

Jennifer Waymont
Wrexham University

PhD Medical Imaging

About

10
Publications
1,106
Reads
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81
Citations
Introduction
Jennifer was a postdoctoral researcher in clinical brain scientists in Scotland before she relocated back home to Wales where she works as a planning manager and data analyst for Wrexham University. Jennifer remains involved in academic research whenever possible.
Additional affiliations
March 2022 - August 2023
University of Edinburgh
Position
  • Research Fellow
Description
  • Analysis of perivascular spaces in UK Biobank
December 2020 - March 2022
Brain Health Scotland
Position
  • Research Officer
Description
  • Conducting research on current service provision for people in Scotland with cognitive complaints, assisting in the development of brain health clinical pathways, providing ad-hoc research assistance to Brain Health Scotland staff as required for policy, public health, education, and clinical objectives.
Education
October 2016 - December 2020
University of Aberdeen
Field of study
  • Medical Imaging (Neuroimaging)
October 2015 - September 2016
Bangor University
Field of study
  • Neuroimaging
October 2014 - September 2015
Bangor University
Field of study
  • Psychological Research

Publications

Publications (10)
Preprint
Full-text available
Research into magnetic resonance imaging (MRI)- visible perivascular spaces (PVS) has recently increased, as results from studies in different diseases and populations are cementing their association with sleep, disease phenotypes, and overall health indicators. With the establishment of worldwide consortia and the availability of large databases,...
Research
The Scottish Cognitive Clinics Scoping Exercise was conducted from January to September of 2021. The scoping exercise aimed to collate information on the current landscape for clinical assessment of cognitive complaints and neurodegenerative disease in Scotland. The scoping exercise consisted of an examination of public information ('secondary data...
Article
Full-text available
Development of cerebral small vessel disease, a major cause of stroke and dementia, may be influenced by early life factors. It is unclear whether these relationships are independent of each other, of adult socioeconomic status or of vascular risk factor exposures. We examined associations between factors from birth (ponderal index, birth weight),...
Article
Full-text available
Introduction: This study aims to first discover plasma proteomic biomarkers relating to neurodegeneration (N) and vascular (V) damage in cognitively normal individuals and second to discover proteins mediating sex-related difference in N and V pathology. Methods: Five thousand and thirty-two plasma proteins were measured in 1061 cognitively norm...
Preprint
Full-text available
Development of cerebral small vessel disease (SVD), a major cause of stroke and dementia, may be influenced by early life factors. It is unclear whether these relationships are independent of each other, of adult socioeconomic status (SES) or of vascular risk factor exposures. We examined associations between factors from birth (ponderal index, bir...
Article
Full-text available
In order to address the oft-cited societal, economic, and health and social care impacts of neurodegenerative diseases, such as Alzheimer’s disease, we must move decisively from reactive to proactive clinical practice and to embed evidence-based brain health education throughout society. Most disease processes can be at least partially prevented, s...
Article
Objectives: Cardiovascular risk is associated with cognitive decline and this effect is attributed to brain pathology, including white matter hyperintensity (WMH) burden. Low-dose aspirin is frequently recommended for reducing vascular events. We investigated the effect of taking aspirin on the association between cardiovascular risk, WMH burden a...
Article
Full-text available
Objectives: White matter hyperintensities (WMH) are a common imaging finding indicative of cerebral small vessel disease. Lesion segmentation algorithms have been developed to overcome issues arising from visual rating scales. In this study, we evaluated two automated methods and compared them to visual and manual segmentation to determine the mos...

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