Home > Publications Database > Vessel distance mapping: A novel methodology for assessing vascular-induced cognitive resilience. > print

001     258088
005     20231120155344.0
024 7 _ |a 10.1016/j.neuroimage.2023.120094
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024 7 _ |a 1053-8119
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024 7 _ |a 1095-9572
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037 _ _ |a DZNE-2023-00550
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Garcia Garcia, Berta
|0 P:(DE-2719)2812734
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245 _ _ |a Vessel distance mapping: A novel methodology for assessing vascular-induced cognitive resilience.
260 _ _ |a Orlando, Fla.
|c 2023
|b Academic Press
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520 _ _ |a 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.
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650 _ 7 |a Cerebral small vessel disease
|2 Other
650 _ 7 |a Hippocampus
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650 _ 7 |a Vessel distance mapping
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650 _ 7 |a circle of Willis
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650 _ 7 |a cognition
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650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Aged
|2 MeSH
650 _ 2 |a Magnetic Resonance Imaging: methods
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650 _ 2 |a Cognition
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650 _ 2 |a Cerebral Small Vessel Diseases: pathology
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650 _ 2 |a Hippocampus: pathology
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700 1 _ |a Mattern, Hendrik
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700 1 _ |a Vockert, Niklas
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700 1 _ |a Yakupov, Renat
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700 1 _ |a Schreiber, Frank
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700 1 _ |a Spallazzi, Marco
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700 1 _ |a Perosa, Valentina
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700 1 _ |a Haghikia, Aiden
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700 1 _ |a Speck, Oliver
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700 1 _ |a Düzel, Emrah
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700 1 _ |a Maass, Anne
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700 1 _ |a Schreiber, Stefanie
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773 _ _ |a 10.1016/j.neuroimage.2023.120094
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