Abstract #4881

Caffeine reduces cerebrovascular reactivity in addition to lowering basal perfusion

Dinil Sasi Sankaralayam¹, Zhiyi Hu^1,2, Cuimei Xu³, Dengrong Jiang¹, Peiying Liu⁴, Abhay Moghekar⁵, and Hanzhang Lu^1,2,6

¹Russell H Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States, ²Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States, ³Johns Hopkins University School of Medicine, Baltimore, MD, United States, ⁴Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States, ⁵Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, ⁶F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, United States

Synopsis

Keywords: Perfusion, Velocity & Flow, Cerebrovascular reactivity

Motivation: Caffeine, one of the widely used psychoactive substances is known to reduce basal cerebral blood flow (CBF). However, its effect on vasodilatory capacity has not been characterized

Goal(s): To evaluate the impact of Caffein on cerebrovascular reactivity (CVR)

Approach: 8 healthy caffeine-naïve volunteers were scanned for baseline (pre-caffeine) and post-Caffeine CVR measurements using BOLD MRI and phase-contrast MRI (PC)-MRI during normal air breathing and hypercapnia using 5% CO2 enriched gas mixture

Results: There was a significant reduction in blood-flux (BF) during room-air (p=0.002) and hypercapnia (p=0.0015) post caffeine administration (variation=33.7% and 41.3% respectively). PC-CVR and BOLD-CVR were reduced by 32.7%(p=0.006) and 22.5%(p=0.006) respectively

Impact: This study's findings provide valuable insights into the impact of caffeine on cerebrovascular reactivity (CVR), revealing a significant reduction after caffeine intake. Findings would be beneficial in reducing the inter-subject variability of CVR by improving the sensitivity in detecting abnormalities.

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