Journal
STROKE
Volume 53, Issue 5, Pages 1735-1745Publisher
LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1161/STROKEAHA.121.036997
Keywords
connectome; dementia; mice; neuroimaging; white matter
Categories
Funding
- Biotechnology and Biosciences Research Council [BB/M008770/1]
- German Research Foundation [Exc 257, BO 4484/2-1, HA5741/5-1]
- Federal Ministry of Education and Research [01EO1301]
- European Commission [01EW1201, 01EW1811]
- (ERA-NET NEURON)
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This study presents a pipeline for structural and functional connectivity analysis of the mouse brain and applies it to a mouse model of vascular dementia. The findings reveal brain lesions in the model and provide insights into the mouse connectome and how it is affected by vascular insufficiency.
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.
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