Cerebrovascular reactivity in the brain white matter: Magnitude, temporal characteristics, and age effects

Binu P. Thomas, Peiying Liu, Denise C. Park, Matthias J.P. Van Osch, Hanzhang Lu

Research output: Contribution to journalArticlepeer-review

66 Scopus citations


White matter (WM) comprises about half of the brain and its dysfunction is implicated in many brain disorders. While structural properties in healthy and diseased WM have been extensively studied, relatively little is known about the physiology underlying these structural characteristics. Recent advances in magnetic resonance (MR) technologies provided new opportunities to better understand perfusion and microvasculature in the WM. Here, we aim to evaluate vasodilatory capacity of the WM vasculature, which is thought to be important in tissue ischemia and autoregulation. Fifteen younger and fifteen older subjects performed a CO2 inhalation task while blood-oxygenation-level- dependent (BOLD) magnetic resonance imaging (MRI) images were continuously collected. The cerebrovascular reactivity (CVR) index showed that the value of CVR in the WM (0.03±0.002%/mm Hg) was positive, but was significantly lower than that in the gray matter (GM) (0.22±0.01%/mm Hg). More strikingly, the WM response showed a temporal delay of 19±3 seconds compared with GM, which was attributed to the longer time it takes for extravascular CO2 to change. With age, WM CVR response becomes greater and faster, which is opposite to the changes seen in the GM. These data suggest that characteristics of WM CVR are different from that of GM and caution should be used when interpreting pathologic WM CVR results.

Original languageEnglish (US)
Pages (from-to)242-247
Number of pages6
JournalJournal of Cerebral Blood Flow and Metabolism
Issue number2
StatePublished - Feb 2014
Externally publishedYes

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology
  • Cardiology and Cardiovascular Medicine


Dive into the research topics of 'Cerebrovascular reactivity in the brain white matter: Magnitude, temporal characteristics, and age effects'. Together they form a unique fingerprint.

Cite this