Lesion – symptom mapping
In order to understand the neural substrates for any given brain function under investigation, many studies in cognitive neuroscience employ functional brain imaging techniques. Lesion-based neuropsychology research has the unique advantage of investigating not just which areas of the brain are involved when we do a particular task or think about a particular thing, but crucially which areas are necessary. By researching large groups of stroke survivors with a variety of resulting brain areas damaged, we can use this data to better understand the neural underpinnings of behaviour.
Publications
- Moore MJ, Mattingley JB, & Demeyere N. (2024) Multivariate and network lesion mapping reveals distinct architectures of domain-specific post-stroke cognitive impairments. Neuropsychologia
- Moore MJ, Demeyere N, Rorden C, Mattingley JB. (2023) Lesion mapping in neuropsychological research: a practical and conceptual guide. Cortex, 2023
- Moore MJ, Hearne L, Demeyere N, Mattingley JB (2023). Comprehensive voxel-wise, tract-based, and network lesion mapping reveals unique architectures of right and left visuospatial neglect. Brain Structure & Function. 2023
- Moore MJ, Jenkinson M, Griffanti L, Huygelier H, Gillebert CR, Demeyere N. A comparison of lesion mapping analyses based on CT versus MR imaging in stroke. Neuropsychologia. 2023 Jun 6;184:108564.
- Moore, M. J., & Demeyere, N. (2022). Lesion symptom mapping of domain-specific cognitive impairments using routine imaging in stroke. Neuropsychologia, 167, 108159.
- Moore, M. J., Gillebert, C. R., & Demeyere, N. (2021). Right and left neglect are not anatomically homologous: A voxel-lesion symptom mapping study. Neuropsychologia, 162, 108024.
- Haupt, M., Gillebert, C. R., & Demeyere, N. (2017). The zero effect: voxel-based lesion symptom mapping of number transcoding errors following stroke. Scientific reports, 7(1), 9242.
- Varjačić, A., Mantini, D., Levenstein, J., Slavkova, E. D., Demeyere, N., & Gillebert, C. R.. (2018). The role of left insula in executive set-switching: lesion evidence from an acute stroke cohort. Cortex, 107, 92–101.
- Chechlacz, M., Novick, A., Rotshtein, P., Bickerton, W., Humphreys, G. W., & Demeyere, N. (2014). The neural substrates of drawing: a voxel-based morphometry analysis of constructional, hierarchical, and spatial representation deficits. Journal of cognitive neuroscience, 26(12), 2701–2715.
Brain Health Markers
Stroke is complex, and the acute focal lesion often occurs alongside degenerating brain health changes with high prevalence of grey and white matter changes, associated with ageing, Alzheimer’s and vascular disease. Understanding the interactions between focal and distributed damage visible in neuro-imaging is a key area of interest.
Publications
- Hobden G, Moore MJ, Mair G, Pendlebury ST, & Demeyere N (2024). Poststroke Executive Function in Relation to White Matter Damage on Clinically Acquired CT Brain Imaging. Cognitive and Behavioral Neurology. 2024 Mar;37(1):23.
- Milosevich E, Demeyere N, & Pendlebury ST (2024). Infection, Inflammation, and Poststroke Cognitive Impairment. Journal of the American Heart Association. 2024 Jan 16;13(2):e9130.
- Hobden G, Moore MJ, Colbourne E, Pendlebury S, & Demeyere N. (2023). Association of neuroimaging markers on clinical CT scans with domain-specific cognitive impairment in the early and later post-stroke stages. Neurology.
Development of analysis tools for CT brain
CT-brain imaging is the standard brain imaging modality used in the NHS. CT-brain images contain a wealth of data on brain ageing and cerebrovascular disease burden. Here, in collaboration with the Wellcome Institute for Integrative Neuroscience and the Centre for the Prevention of Stroke and Dementia, we are developing tools to derive standardised quantification of stroke lesions, white matter disease and brain atrophy from routine clinical CT imaging.
Publications
- Vass, L., Moore, M. J., Hanayik, T., Mair, G., Pendlebury, S. T., Demeyere, N., & Jenkinson, M.. (2021). A Comparison of Cranial Cavity Extraction Tools for Non-contrast Enhanced CT Scans in Acute Stroke Patients. Neuroinformatics.
Funding
NIHR i4i Dementia. Identifying older patients at high short-term risk of dementia and cognitive decline using routinely collected hospital electronic clinical and brain imaging data to improve care. (PI Pendlebury)
NHMRC. Computational and neural investigations of integrated perceptual decision making in health and disease (PI Mattingley)
Medical Sciences Division Knowledge Exchange (KE) Seed fund. Application of automatic segmentation algorithms to Brain CT and low-field MRI data in an African population (PI Griffanti)
NIHR OUH BRC Cluster funding. Development of a semi-automated CT-brain analysis tool for application to real world clinical cohorts. (with Pendlebury & Jenkinson)
People
