Gerard R Hall
Long-Term Connectome Analysis Reveals Reshaping of Visual, Spatial Networks in a Model With Vascular Dementia Features
Hall, Gerard R; Boehm-Sturm, Philipp; Dirnagl, Ulrich; Finke, Carsten; Foddis, Marco; Harms, Christoph; Koch, Stefan Paul; Kuchling, Joseph; Madan, Christopher R; Mueller, Susanne; Sassi, Celeste; Sotiropoulos, Stamatios N; Trueman, Rebecca C; Wallis, Marcus; Yildirim, Ferah; Farr, Tracy D
Authors
Philipp Boehm-Sturm
Ulrich Dirnagl
Carsten Finke
Marco Foddis
Christoph Harms
Stefan Paul Koch
Joseph Kuchling
CHRISTOPHER MADAN CHRISTOPHER.MADAN@NOTTINGHAM.AC.UK
Assistant Professor
Susanne Mueller
Celeste Sassi
STAMATIOS SOTIROPOULOS STAMATIOS.SOTIROPOULOS@NOTTINGHAM.AC.UK
Professor of Computational Neuroimaging
Dr REBECCA TRUEMAN REBECCA.TRUEMAN@NOTTINGHAM.AC.UK
Associate Professor
Marcus Wallis
Ferah Yildirim
TRACY FARR T.Farr@nottingham.ac.uk
Associate Professor
Abstract
Background: Connectome analysis of neuroimaging data is a rapidly expanding field that offers the potential to diagnose, characterize, and predict neurological disease. Animal models provide insight into biological mechanisms that underpin disease, but connectivity approaches are currently lagging in the rodent. Methods: We present a pipeline adapted for structural and functional connectivity analysis of the mouse brain, and we tested it in a mouse model of vascular dementia. Results: We observed lacunar infarctions, microbleeds, and progressive white matter change across 6 months. For the first time, we report that default mode network activity is disrupted in the mouse model. We also identified specific functional circuitry that was vulnerable to vascular stress, including perturbations in a sensorimotor, visual resting state network that were accompanied by deficits in visual and spatial memory tasks. Conclusions: These findings advance our understanding of the mouse connectome and provide insight into how it can be altered by vascular insufficiency.
Citation
Hall, G. R., Boehm-Sturm, P., Dirnagl, U., Finke, C., Foddis, M., Harms, C., …Farr, T. D. (2022). Long-Term Connectome Analysis Reveals Reshaping of Visual, Spatial Networks in a Model With Vascular Dementia Features. Stroke, 53(5), 1735-1745. https://doi.org/10.1161/STROKEAHA.121.036997
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 22, 2021 |
Online Publication Date | Feb 2, 2022 |
Publication Date | May 1, 2022 |
Deposit Date | Nov 26, 2021 |
Publicly Available Date | Aug 3, 2022 |
Journal | Stroke |
Print ISSN | 0039-2499 |
Electronic ISSN | 1524-4628 |
Publisher | American Heart Association |
Peer Reviewed | Peer Reviewed |
Volume | 53 |
Issue | 5 |
Pages | 1735-1745 |
DOI | https://doi.org/10.1161/STROKEAHA.121.036997 |
Keywords | Advanced and Specialized Nursing; Cardiology and Cardiovascular Medicine; Neurology (clinical) |
Public URL | https://nottingham-repository.worktribe.com/output/6789677 |
Publisher URL | https://www.ahajournals.org/doi/10.1161/STROKEAHA.121.036997 |
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Long-term connectome analysis reveals reshaping of visual, spatial networks in a model with vascular dementia features
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Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
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