AUTHOR=Lv Xiaohan , Teng Zhenjie , Jia Zhiyang , Dong Yanhong , Xu Jing , Lv Peiyuan 

TITLE=Retinal thickness changes in different subfields reflect the volume change of cerebral white matter hyperintensity

JOURNAL=Frontiers in Neurology

VOLUME=13

YEAR=2022

URL=https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2022.1014359

DOI=10.3389/fneur.2022.1014359

ISSN=1664-2295

ABSTRACT=<sec><title>Purpose</title><p>To investigate the relationship between the retinal thickness in different subfields and the volume of white matter hyperintensity (WMH), with the hope to provide new evidence for the potential association between the retina and the brain.</p></sec><sec><title>Methods</title><p>A total of 185 participants aged over 40 years were included in our study. Magnetic resonance imaging (MRI) was used to image the WMH, and WMH volume was quantitatively measured by a specific toolbox. The thickness of the total retina, the retinal nerve fiber layer (RNFL), and the ganglion cell and inner plexiform layer (GCIP) was measured by optical coherence tomography (OCT) in nine subfields. The association between retinal thickness and WMH volume was demonstrated using binary logistic regression and Pearson correlation analysis.</p></sec><sec><title>Results</title><p>Participants were divided into two groups by the WMH volume (‰, standardized WMH volume) median. In the quartile-stratified binary logistic regression analysis, we found that the risk of higher WMH volume showed a positive linear trend correlation with the thickness of total retina (95% CI: 0.848 to 7.034; <italic>P</italic> for trend = 0.044)/ GCIP (95% CI: 1.263 to 10.549; <italic>P</italic> for trend = 0.038) at the central fovea, and a negative linear trend correlation with the thickness of nasal inner RNFL (95% CI: 0.086 to 0.787; <italic>P</italic> for trend = 0.012), nasal outer RNFL (95% CI: 0.058 to 0.561; <italic>P</italic> for trend = 0.004), and inferior outer RNFL (95% CI: 0.081 to 0.667; <italic>P</italic> for trend = 0.004), after adjusting for possible confounders. Correlation analysis results showed that WMH volume had a significant negative correlation with superior outer RNFL thickness (<italic>r</italic> = −0.171, <italic>P</italic> = 0.02) and nasal outer RNFL thickness (<italic>r</italic> = −0.208, <italic>P</italic> = 0.004).</p></sec><sec><title>Conclusion</title><p>It is suggested that central fovea and outer retina thickness are respectively associated with WMH volume. OCT may be a biological marker for early detection and longitudinal monitoring of WMH.</p></sec>