Study on the correlation between enlarged perivascular space and motor symptoms in Parkinson's disease using 7 T MRI
WANG Xinyu
LU Haoxuan
XIONG Yongqin
ZHANG Luhua
WANG Xiaoyu
HUANG Jiayu
LI Yan
LOU Xin
Abstract:Objective Utilizing 7 T MRI to study the correlation between enlarged perivascular spaces(EPVS)and motor symptoms in Parkinson's disease(PD)patients,and to explore the diagnosing value of EPVS measured with 7 T MRI.Methods Fourteen patients clinically diagnosed with PD(PD group)were prospectively included in the study.Their motor symptoms were evaluated using the Hoehn-Yahr(H-Y)staging and the unified Parkinson's disease rating scale(UPDRS).Additionally,17 healthy controls(HC group)were included.Both groups underwent 7 T MRI examinations,and the EPVS in the centrum semiovale and basal ganglia were analyzed on T2WI and T2-fluid attenuated inversion recovery(FLAIR)images,with EPVS counted and scored.An independent samples t-test was used to compare the differences in the number and scores of EPVS in the centrum semiovale and basal ganglia between the two groups.Pearson correlation analysis was employed to assess the correlation between the scores and number of EPVS in the centrum semiovale and basal ganglia and the motor symptom scores in PD patients.Results The PD group had a higher number of EPVS in the basal ganglia region and higher EPVS scores in the centrum semiovale than the HC group(both P<0.05).There was a positive correlation between the H-Y stage and the number of EPVS in the basal ganglia region in PD patients(r=0.242,P<0.001).No correlation was found between other motor symptom scores and EPVS numbers or scores(all P>0.05).Conclusions EPVS were more numerous in PD patients than in healthy controls on 7 T MRI.The motor symptoms positively correlated with the number of EPVS in the basal ganglia in PD patients,suggesting that EPVS measured on 7 T MRI could potentially serve as an imaging biomarker for PD.
Keywords:Parkinson's diseaseMagnetic resonance imagingUltra high filedPerivascular spaceMotor symptoms
Publication Date:2024-07-15
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:5( 407-411 )
