Magnetic Resonance Imaging Tissue Signatures Associated With White Matter Changes Due to Sporadic Cerebral Small Vessel Disease Indicate That White Matter Hyperintensities Can Regress

Author:

Jochems Angela C. C.12ORCID,Muñoz Maniega Susana12ORCID,Clancy Una12ORCID,Arteaga Carmen12ORCID,Jaime Garcia Daniela12,Chappell Francesca M.12ORCID,Hewins Will12ORCID,Locherty Rachel12ORCID,Backhouse Ellen V.12ORCID,Barclay Gayle3,Jardine Charlotte3ORCID,McIntyre Donna3,Gerrish Iona3,Kampaite Agniete1,Sakka Eleni1ORCID,Valdés Hernández Maria12,Wiseman Stewart12ORCID,Bastin Mark E.1ORCID,Stringer Michael S.12ORCID,Thrippleton Michael J.123ORCID,Doubal Fergus N.12ORCID,Wardlaw Joanna M.123ORCID

Affiliation:

1. Centre for Clinical Brain Sciences University of Edinburgh Edinburgh United Kingdom

2. UK Dementia Research Institute at the University of Edinburgh Edinburgh United Kingdom

3. Edinburgh Imaging Facility, Royal Infirmary of Edinburgh Edinburgh United Kingdom

Abstract

Background White matter hyperintensities (WMHs) might regress and progress contemporaneously, but we know little about underlying mechanisms. We examined WMH change and underlying quantitative magnetic resonance imaging tissue measures over 1 year in patients with minor ischemic stroke with sporadic cerebral small vessel disease. Methods and Results We defined areas of stable normal‐appearing white matter, stable WMHs, progressing and regressing WMHs based on baseline and 1‐year brain magnetic resonance imaging. In these areas we assessed tissue characteristics with quantitative T1, fractional anisotropy (FA), mean diffusivity (MD), and neurite orientation dispersion and density imaging (baseline only). We compared tissue signatures cross‐sectionally between areas, and longitudinally within each area. WMH change masks were available for N=197. Participants' mean age was 65.61 years (SD, 11.10), 59% had a lacunar infarct, and 68% were men. FA and MD were available for N=195, quantitative T1 for N=182, and neurite orientation dispersion and density imaging for N=174. Cross‐sectionally, all 4 tissue classes differed for FA, MD, T1, and Neurite Density Index. Longitudinally, in regressing WMHs, FA increased with little change in MD and T1 (difference estimate, 0.011 [95% CI, 0.006–0.017]; −0.002 [95% CI, −0.008 to 0.003] and −0.003 [95% CI, −0.009 to 0.004]); in progressing and stable WMHs, FA decreased (−0.022 [95% CI, −0.027 to −0.017] and −0.009 [95% CI, −0.011 to −0.006]), whereas MD and T1 increased (progressing WMHs, 0.057 [95% CI, 0.050–0.063], 0.058 [95% CI, 0.050 –0.066]; stable WMHs, 0.054 [95% CI, 0.045–0.063], 0.049 [95% CI, 0.039–0.058]); and in stable normal‐appearing white matter, MD increased (0.004 [95% CI, 0.003–0.005]), whereas FA and T1 slightly decreased and increased (−0.002 [95% CI, −0.004 to −0.000] and 0.005 [95% CI, 0.001–0.009]). Conclusions Quantitative magnetic resonance imaging shows that WMHs that regress have less abnormal microstructure at baseline than stable WMHs and follow trajectories indicating tissue improvement compared with stable and progressing WMHs.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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