Perfusion heterogeneity of cerebral small vessel disease revealed via arterial spin labeling MRI and machine learning.

ABSTRACT: Cerebral small vessel disease (CSVD) is associated with altered cerebral perfusion. However, global and regional cerebral blood flow (CBF) are highly heterogeneous across CSVD patients. The aim of this study was to identify subtypes of CSVD with different CBF patterns using an advanced machine learning approach. 121 CSVD patients and 53 healthy controls received arterial spin label MRI, T1 structural MRI and clinical measurements. Regional CBF were used to identify distinct perfusion subtypes of CSVD via a semi-supervised machine learning algorithm. Statistical analyses were used to explore alterations in CBF, clinical measures, gray and white matter volume between healthy controls and different subtypes of CSVD. Correlation analysis was used to assess the association between clinical meas

SUBMITTER: Lu W 

PROVIDER: S-EPMC9434130 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature