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000280227 0247_ $$2ISSN$$a1097-0193
000280227 037__ $$aDZNE-2025-00905
000280227 041__ $$aEnglish
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000280227 1001_ $$aMietzner, Grazia$$b0
000280227 245__ $$aAssessing Arterial Patterns in the Motor Cortex With 7 Tesla Magnetic Resonance Imaging and Vessel Distance Mapping.
000280227 260__ $$aNew York, NY$$bWiley-Liss$$c2025
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000280227 520__ $$aLeveraging 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%, 50.0%, and 23.7%, respectively. Vessel dominance, that is the ratio of supply volumes, of the ACA branches showed dominance of the pericallosal artery, callosomarginal artery, and equal contribution, in 34.2%, 34.2%, and 31.6% of the cases, respectively. For the MCA groups, the prevalence of precentral group dominance, central group dominances, and equal contribution was 13.2%, 34.2%, and 52.6%, respectively. Although the central and precentral groups were found in all hemispheres, the postcentral group was found in 28.9% of hemispheres with highly variable supply contribution. Statistical tests returned no significance for the effect of vessel patterns and dominances on the mean motor cortex thickness. With 7 T MRI and VDM, the motor cortex vascularization can be assessed fully noninvasively and longitudinally while providing overall good concordance with previous post mortem studies. Our comprehensive analysis of arterial motor cortex vascularization showed considerable variability between hemispheres, rendering the usage of pattern-specific atlases and analysis more suitable than single normative representations. The successful translation from post mortem to in vivo enables the study of vascular reserve in disorders affecting the motor cortex, such as ALS, and can be translated to other brain regions and neurodegenerative diseases in the future.
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000280227 650_7 $$2Other$$ahigh‐resolution imaging
000280227 650_7 $$2Other$$ainter‐individual vascular variability
000280227 650_7 $$2Other$$amotor cortex vascularization
000280227 650_7 $$2Other$$aultra‐high field
000280227 650_7 $$2Other$$avessel atlas
000280227 650_7 $$2Other$$avessel dominance
000280227 650_7 $$2Other$$avessel supply patterns
000280227 650_2 $$2MeSH$$aHumans
000280227 650_2 $$2MeSH$$aMotor Cortex: blood supply
000280227 650_2 $$2MeSH$$aMotor Cortex: diagnostic imaging
000280227 650_2 $$2MeSH$$aMotor Cortex: anatomy & histology
000280227 650_2 $$2MeSH$$aMale
000280227 650_2 $$2MeSH$$aMagnetic Resonance Imaging: methods
000280227 650_2 $$2MeSH$$aFemale
000280227 650_2 $$2MeSH$$aAdult
000280227 650_2 $$2MeSH$$aYoung Adult
000280227 650_2 $$2MeSH$$aCerebral Arteries: diagnostic imaging
000280227 650_2 $$2MeSH$$aCerebral Arteries: anatomy & histology
000280227 650_2 $$2MeSH$$aImage Processing, Computer-Assisted
000280227 650_2 $$2MeSH$$aMiddle Aged
000280227 7001_ $$aLümkemann, Lilli$$b1
000280227 7001_ $$0P:(DE-2719)9000986$$aSchreiber, Frank$$b2$$udzne
000280227 7001_ $$aBrüggemann, Jascha$$b3
000280227 7001_ $$aBenramadan, Abrar$$b4
000280227 7001_ $$aAl-Dubai, Marwa$$b5
000280227 7001_ $$aSciarra, Alessandro$$b6
000280227 7001_ $$0P:(DE-2719)9001280$$aKnoll, Christoph$$b7$$udzne
000280227 7001_ $$0P:(DE-2719)9001179$$aKuehn, Esther$$b8$$udzne
000280227 7001_ $$0P:(DE-2719)2810706$$aSpeck, Oliver$$b9$$udzne
000280227 7001_ $$0P:(DE-2719)2812631$$aSchreiber, Stefanie$$b10$$udzne
000280227 7001_ $$0P:(DE-2719)9002178$$aMattern, Hendrik$$b11$$eLast author
000280227 773__ $$0PERI:(DE-600)1492703-2$$a10.1002/hbm.70311$$gVol. 46, no. 11, p. e70311$$n11$$pe70311$$tHuman brain mapping$$v46$$x1065-9471$$y2025
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