Medullary vein architecture modulates the white matter BOLD cerebrovascular reactivity signal response to CO2: Observations from high-resolution T2 weighted imaging at 7T

• Published in: NeuroImage (Orlando, Fla.) Vol. 245; p. 118771
• Main Author: Bhogal, Alex A.
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 15-12-2021; Elsevier
• Subjects: Cerebrovascular reactivity; CVR; Hypercapnia 7 tesla; MRI; White matter; Cerebrovascular reactivity; MRI; White matter; CVR; Hypercapnia 7 tesla
• ISSN: 1053-8119; 1095-9572
• DOI: 10.1016/j.neuroimage.2021.118771

•Hemodynamic parameter mapping using 7 T BOLD-MRI with CO2 challenge.•Spatial correlation of hemodynamic responses with venous vascular architecture.•BOLD signal response shape in white matter is driven by venous architecture.•Implications when attributing altered BOLD response to disease mechanisms.
Brain stress testing using blood oxygenation level-dependent (BOLD) MRI to evaluate changes in cerebrovascular reactivity (CVR) is of growing interest for evaluating white matter integrity. However, even under healthy conditions, the white matter BOLD-CVR response differs notably from that observed in the gray matter. In addition to actual arterial vascular control, the venous draining topology may influence the WM-CVR response leading to signal delays and dispersions. These types of alterations in hemodynamic parameters are sometimes linked with pathology, but may also arise from differences in normal venous architecture. In this work, high-resolution T2*weighted anatomical images combined with BOLD imaging during a hypercapnic breathing protocol were acquired using a 7 tesla MRI system. Hemodynamic parameters including base CVR, hemodynamic lag, lag-corrected CVR, response onset and signal dispersion, and finally ΔCVR (corrected CVR minus base CVR) were calculated in 8 subjects. Parameter maps were spatially normalized and correlated against an MNI-registered white matter medullary vein atlas. Moderate correlations (Pearson's rho) were observed between medullary vessel frequency (MVF) and ΔCVR (0.52; 0.58 for total WM), MVF and hemodynamic lag (0.42; 0.54 for total WM), MVF and signal dispersion (0.44; 0.53 for total WM), and finally MVF and signal onset (0.43; 0.52 for total WM). Results indicate that, when assessed in the context of the WM venous architecture, changes in the response shape may only be partially reflective of the actual vascular reactivity response occurring further upstream by control vessels. This finding may have implications when attributing diseases mechanisms and/or progression to presumed impaired WM BOLD-CVR.