%0 Journal Article
%A Mietzner, Grazia
%A Lümkemann, Lilli
%A Schreiber, Frank
%A Brüggemann, Jascha
%A Benramadan, Abrar
%A Al-Dubai, Marwa
%A Sciarra, Alessandro
%A Knoll, Christoph
%A Kuehn, Esther
%A Speck, Oliver
%A Schreiber, Stefanie
%A Mattern, Hendrik
%T Assessing Arterial Patterns in the Motor Cortex With 7 Tesla Magnetic Resonance Imaging and Vessel Distance Mapping.
%J Human brain mapping
%V 46
%N 11
%@ 1065-9471
%C New York, NY
%I Wiley-Liss
%M DZNE-2025-00905
%P e70311
%D 2025
%X Leveraging high-resolution 7 T magnetic resonance imaging (MRI) and vessel distance mapping (VDM), the arterial supply patterns and dominances of the motor cortex, which could previously only be studied postmortem, were assessed in vivo and fully noninvasively. Beyond vessel patterns and dominances, the potential relation between the vascularization and the motor cortex thickness was studied. Twenty-one healthy participants underwent 7 T MRI scans to map arterial supply and motor cortex at 0.45 mm isotropic resolution. The motor cortex vasculature was segmented manually with vessel-specific labels. VDM was utilized to estimate the vessel-specific supply regions and, subsequently, assess vessel patterns and dominances. Statistical tests were applied to test if the vasculature impacts mean motor cortical thickness estimates. Vessel patterns, that is the presence of supplying vessels, were classified as three-, four-, and five-vessel patterns with a prevalence of 26.3
%K Humans
%K Motor Cortex: blood supply
%K Motor Cortex: diagnostic imaging
%K Motor Cortex: anatomy & histology
%K Male
%K Magnetic Resonance Imaging: methods
%K Female
%K Adult
%K Young Adult
%K Cerebral Arteries: diagnostic imaging
%K Cerebral Arteries: anatomy & histology
%K Image Processing, Computer-Assisted
%K Middle Aged
%K high‐resolution imaging (Other)
%K inter‐individual vascular variability (Other)
%K motor cortex vascularization (Other)
%K ultra‐high field (Other)
%K vessel atlas (Other)
%K vessel dominance (Other)
%K vessel supply patterns (Other)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:40762423
%2 pmc:PMC12322923
%R 10.1002/hbm.70311
%U https://pub.dzne.de/record/280227