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000258088 1001_ $$0P:(DE-2719)2812734$$aGarcia Garcia, Berta$$b0$$eFirst author$$udzne
000258088 245__ $$aVessel distance mapping: A novel methodology for assessing vascular-induced cognitive resilience.
000258088 260__ $$aOrlando, Fla.$$bAcademic Press$$c2023
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000258088 520__ $$aThe 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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000258088 650_7 $$2Other$$aCerebral small vessel disease
000258088 650_7 $$2Other$$aHippocampus
000258088 650_7 $$2Other$$aVessel distance mapping
000258088 650_7 $$2Other$$acircle of Willis
000258088 650_7 $$2Other$$acognition
000258088 650_2 $$2MeSH$$aHumans
000258088 650_2 $$2MeSH$$aAged
000258088 650_2 $$2MeSH$$aMagnetic Resonance Imaging: methods
000258088 650_2 $$2MeSH$$aCognition
000258088 650_2 $$2MeSH$$aCerebral Small Vessel Diseases: pathology
000258088 650_2 $$2MeSH$$aHippocampus: pathology
000258088 7001_ $$0P:(DE-2719)9002178$$aMattern, Hendrik$$b1$$udzne
000258088 7001_ $$0P:(DE-2719)9000804$$aVockert, Niklas$$b2$$udzne
000258088 7001_ $$0P:(DE-2719)2812398$$aYakupov, Renat$$b3$$udzne
000258088 7001_ $$0P:(DE-2719)9000986$$aSchreiber, Frank$$b4$$udzne
000258088 7001_ $$aSpallazzi, Marco$$b5
000258088 7001_ $$0P:(DE-2719)9000985$$aPerosa, Valentina$$b6$$udzne
000258088 7001_ $$0P:(DE-2719)9001370$$aHaghikia, Aiden$$b7$$udzne
000258088 7001_ $$0P:(DE-2719)2810706$$aSpeck, Oliver$$b8$$udzne
000258088 7001_ $$0P:(DE-2719)2000005$$aDüzel, Emrah$$b9$$udzne
000258088 7001_ $$0P:(DE-2719)2811815$$aMaass, Anne$$b10$$udzne
000258088 7001_ $$0P:(DE-2719)2812631$$aSchreiber, Stefanie$$b11$$eLast author$$udzne
000258088 773__ $$0PERI:(DE-600)1471418-8$$a10.1016/j.neuroimage.2023.120094$$gVol. 274, p. 120094 -$$p120094$$tNeuroImage$$v274$$x1053-8119$$y2023
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