Artificial intelligence-assisted oculo-gait measurements for cognitive impairment in cerebral small vessel disease.

ABSTRACT:

Introduction

Oculomotor and gait dysfunctions are closely associated with cognition. However, oculo-gait patterns and their correlation with cognition in cerebral small vessel disease (CSVD) remain unclear.

Methods

Patients with CSVD from a hospital-based cohort (n = 194) and individuals with presumed early CSVD from a community-based cohort (n = 319) were included. Oculo-gait patterns were measured using the artificial intelligence (AI) -assisted 'EyeKnow' eye-tracking and 'ReadyGo' motor evaluation systems. Multivariable linear and logistic regression models were employed to investigate the association between the oculo-gait parameters and cognition.

Results

Anti-saccade accuracy, stride velocity, and swing velocity were significantly associated with cognition in bo

SUBMITTER: Chen H 

PROVIDER: S-EPMC11667535 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature