AUTHOR=Zhao Yitian , Zhao Jinyu , Gu Yuanyuan , Chen Bang , Guo Jiaqi , Xie Jianyang , Yan Qifeng , Ma Yuhui , Wu Yufei , Zhang Jiong , Lu Qinkang , Liu Jiang
TITLE=Outer Retinal Layer Thickness Changes in White Matter Hyperintensity and Parkinson's Disease
JOURNAL=Frontiers in Neuroscience
VOLUME=15
YEAR=2021
URL=https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2021.741651
DOI=10.3389/fnins.2021.741651
ISSN=1662-453X
ABSTRACT=Purpose: To investigate the thickness changes of outer retinal layers in subjects with white matter hyperintensities (WMH) and Parkinson's Disease (PD).
Methods: 56 eyes from 31 patients with WMH, 11 eyes from 6 PD patients, and 58 eyes from 32 healthy controls (HC) were enrolled in this study. A macular-centered scan was conducted on each participant using a spectral-domain optical coherence tomography (SD-OCT) device. After speckle noise reduction, a state-of-the-art deep learning method (i.e., a context encoder network) was employed to segment the outer retinal layers from OCT B-scans. Thickness quantification of the outer retinal layers was conducted on the basis of the segmentation results.
Results: WMH patients had significantly thinner Henle fiber layers, outer nuclear layers (HFL+ONL) and photoreceptor outer segments (OS) than HC (p = 0.031, and p = 0.005), while PD patients showed a significant increase of mean thickness in the interdigitation zone and the retinal pigment epithelium/Bruch complex (IZ+RPE) (19.619 ± 4.626) compared to HC (17.434 ± 1.664). There were no significant differences in the thickness of the outer plexiform layer (OPL), the myoid and ellipsoid zone (MEZ), and the IZ+RPE layer between WMH and HC subjects. Similarly, there were also no obvious differences in the thickness of the OPL, HFL+ONL, MEZ and the OS layer between PD and HC subjects.
Conclusion: Thickness changes in HFL+ONL, OS, and IZ+RPE layers may correlate with brain-related diseases such as WMH and PD. Further longitudinal study is needed to confirm HFL+ONL/OS/IZ+RPE layer thickness as potential biomarkers for detecting certain brain-related diseases.