Association between retinal vascular measures and brain white matter lesions in schizophrenia

We examined brain white matter lesions as they are considered a predictive marker for future adverse cerebrovascular event.METHODS: We acquired retinal vascular images of both eyes using a non-mydriatic camera and calculated retinal vascular diameter, tortuosity, trajectory and fractal dimension using validated methods. All patients underwent Magnetic Resonance Imaging of bran and we computed white matter hypo-intensities using Freesurfer software. We performed a linear regression analysis to examine the relationship between white matter hypo-intensities and retinal vascular measures controlling for age, sex, fasting blood sugar, creatinine, whole-brain volume, and antipsychotic dose.RESULTS: The regression model was significant in Schizophrenia patients (R=0.983;R2 =0.966;-F=10.849;p = 0.008) but not in healthy volunteers (R=0.828;R2 =0.686;F=0.182; p = 0.963). Among the retinal vascular measures, arterial tortuosity (β = 0.963;p-0.002), tortuosity (β = -1.002;p = 0.001) and fractal dimension (β = -0.688;p = 0.014) were significant predictors of white matter lesions.DISCUSSION: The current study's findings support the conclusion that retinal vascular fractal dimension and tortuosity are associated with changes in cerebral white matter and may be considered proxy markers for cerebral microvasculature in schizophrenia. Considering the relationship between white matter lesions and stroke, these observations could have important clinical implications to screen schizophrenia p...

Source: Asian Journal of Psychiatry - February 27, 2022 Category: Psychiatry Authors: Vittal Korann Satish Suhas Abhishek Appaji Bhargavi Nagendra Ananth Padmanabha Arpitha Jacob Priyanka Devi Rose Dawn Bharath Vijay Kumar Shivarama Varambally Ganesan Venkatasubramanian Shyam Vasudeva Rao Caroll Ab Webers Tos Tjm Berendschot Naren P Rao Source Type: research