Regional and depth-dependence of cortical blood-flow assessed with high-resolution Arterial Spin Labeling (ASL). Issue 8 (August 2021)

• Record Type: Journal Article
• Authors: Taso, Manuel; Munsch, Fanny; Zhao, Li; Alsop, David C
• Is Part Of: Journal of cerebral blood flow & metabolism. Volume 41:Issue 8(2021)
• Page Start: 1899
• Page End: 1911
• Publication Date: 2021-08
• Subjects: ASL -- perfusion -- cerebral blood-flow -- cortical perfusion -- surface-based analysis; Cerebral circulation -- Periodicals; Brain -- Metabolism -- Periodicals; Brain -- Blood-vessels -- Periodicals; Cerebrovascular disease -- Periodicals; 612.824
• DOI: 10.1177/0271678X20982382
• Languages: English
• ISSNs: 0271-678X

Abstract

Methods for imaging of cerebral blood flow do not typically resolve the cortex and thus underestimate flow. However, recent work with high-resolution MRI has emphasized the regional and depth-dependent structural, functional and relaxation times variations within the cortex. Using high-resolution Arterial Spin Labeling (ASL) and T1 mapping acquisitions, we sought to probe the effects of spatial resolution and tissue heterogeneity on cortical cerebral blood flow (CBF) measurements with ASL. We acquired high-resolution (1.6mm) 3 whole brain ASL data in a cohort of 10 volunteers at 3T, along with T1 and transit-time (ATT) mapping, followed by group cortical surface-based analysis using FreeSurfer of the different measured parameters. Fully resolved regional analysis showed higher than average mid-thickness CBF in primary motor areas (+15%, p<0.002), frontal regions (+17%, p<0.01) and auditory cortex, while occipital regions had lower average CBF (-20%, p<10 −5 ). ASL signal was higher towards the pial surface but correction for the shorter T1 near the white matter surface reverses this gradient, at least when using the low-resolution ATT map. Similar to structural measures, fully-resolved ASL CBF measures show significant differences across cortical regions. Depth-dependent variation of T1 in the cortex complicates interpretation of depth-dependent ASL signal and may have implications for the accurate CBF quantification at lower resolutions.