Journal Article

DZNE-2023-00550

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Vessel distance mapping: A novel methodology for assessing vascular-induced cognitive resilience.

Garcia Garcia, B. (First author)DZNE* ; Mattern, H.DZNE* ; Vockert, N.DZNE* ; Yakupov, R.DZNE* ; Schreiber, F.DZNE* ; Spallazzi, M. ; Perosa, V.Extern* ; Haghikia, A.DZNE* ; Speck, O.DZNE* ; Düzel, E.DZNE* ; Maass, A.DZNE* ; Schreiber, S. (Last author)DZNE*

2023
Academic Press Orlando, Fla.

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Please use a persistent id in citations: doi:10.1016/j.neuroimage.2023.120094

Abstract: The association between cerebral blood supply and cognition has been widely discussed in the recent literature. One focus of this discussion has been the anatomical variability of the circle of Willis, with morphological differences being present in more than half of the general population. While previous studies have attempted to classify these differences and explore their contribution to hippocampal blood supply and cognition, results have been controversial. To disentangle these previously inconsistent findings, we introduce Vessel Distance Mapping (VDM) as a novel methodology for evaluating blood supply, which allows for obtaining vessel pattern metrics with respect to the surrounding structures, extending the previously established binary classification into a continuous spectrum. To accomplish this, we manually segmented hippocampal vessels obtained from high-resolution 7T time-of-flight MR angiographic imaging in older adults with and without cerebral small vessel disease, generating vessel distance maps by computing the distances of each voxel to its nearest vessel. Greater values of VDM-metrics, which reflected higher vessel distances, were associated with poorer cognitive outcomes in subjects affected by vascular pathology, while this relation was not observed in healthy controls. Therefore, a mixed contribution of vessel pattern and vessel density is proposed to confer cognitive resilience, consistent with previous research findings. In conclusion, VDM provides a novel platform, based on a statistically robust and quantitative method of vascular mapping, for addressing a variety of clinical research questions.

Keyword(s): Humans (MeSH) ; Aged (MeSH) ; Magnetic Resonance Imaging: methods (MeSH) ; Cognition (MeSH) ; Cerebral Small Vessel Diseases: pathology (MeSH) ; Hippocampus: pathology (MeSH) ; Cerebral small vessel disease ; Hippocampus ; Vessel distance mapping ; circle of Willis ; cognition

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Contributing Institute(s):

1. Mixed Cerebral Pathologies and Cognitive Aging (AG Schreiber)
2. Clinical Neurophysiology and Memory (AG Düzel 3)
3. Pathophysiology of Dementia (AG Reymann ; AG Reymann)
4. Multimodales Neuroimaging (AG Maaß)
5. Linking imaging projects iNET (AG Speck)

Research Program(s):

1. 353 - Clinical and Health Care Research (POF4-353) (POF4-353)
2. 352 - Disease Mechanisms (POF4-352) (POF4-352)

Appears in the scientific report 2023

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