Detailed Analysis of Intraretinal Layers and Their Correlation to Brain Structures in Normal Healthy Aging.

IF 2.7 3区 医学 Q2 OPHTHALMOLOGY
Jack Anthony Cipolla, Giovana Rosa Gameiro, William Tackett, Jessica Morgan, Geoffrey Aguirre, Pradip Pattany, Robert O'Brien, Hong Jiang, John A Detre, Jianhua Wang
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Abstract

Purpose: The purpose of this study was to investigate the relationships between intraretinal layer volumes and visual cortical thickness in healthy individuals and determine the influence of age on these associations.

Methods: Fifty-three subjects were recruited. One eye per subject was imaged using optical coherence tomography (OCT) to quantify volumes of total retinal thickness (TRT), retinal nerve fiber layer (RNFL), ganglion cell-inner plexiform layer (GCIPL), inner nuclear layer (INL), outer nuclear layer (ONL), outer plexiform layer (OPL), and photoreceptor (PR) layer. Brain magnetic resonance imaging (MRI) was performed, and cortical thickness was quantified in 13 visual cortex regions using the Schaefer 2018 atlas.

Results: TRT, RNFL, and GCIPL volumes were significantly correlated with cortical thickness in multiple visual regions (r = 0.34-0.59, all P < 0.05). These associations were largely attenuated after adjusting for age. In contrast, selected RNFL and INL associations remained significant after age adjustment. OPL, ONL, and PR layer showed no significant correlations with cortical thickness. PR layer volume increased with age (r = 0.38, P < 0.01), unlike the age-related thinning observed in other layers.

Conclusions: Distinct retinal layers exhibit differential relationships with the visual cortex, with some associations predominantly mediated by age and selected RNFL and INL associations persisting independently of age.

Translational relevance: Distinguishing age-mediated from age-independent retinal-cortical relationships may help identify OCT-derived retinal measures that differentiate normal aging from cerebral pathology and support their investigation as noninvasive biomarkers of central nervous system (CNS) integrity.

正常健康老年人视网膜内层结构及其与脑结构的相关性分析。
目的:本研究的目的是探讨健康个体视网膜内层体积与视觉皮层厚度之间的关系,并确定年龄对这些关系的影响。方法:招募53名受试者。采用光学相干断层扫描(OCT)对每名受试者的一只眼睛进行成像,量化视网膜总厚度(TRT)、视网膜神经纤维层(RNFL)、神经节细胞-内丛状层(GCIPL)、内核层(INL)、外核层(ONL)、外丛状层(OPL)和光感受器层(PR)的体积。进行脑磁共振成像(MRI),并使用Schaefer 2018图集量化13个视觉皮层区域的皮质厚度。结果:TRT、RNFL、GCIPL体积与多个视觉区皮质厚度呈显著相关(r = 0.34 ~ 0.59,均P < 0.05)。在调整年龄后,这些关联在很大程度上减弱了。相比之下,经年龄调整后,选定的RNFL和INL相关性仍然显著。OPL、ONL和PR层与皮质厚度无显著相关性。PR层体积随年龄增加而增加(r = 0.38, P < 0.01),与其他层不同。结论:不同的视网膜层与视觉皮层表现出不同的关系,其中一些关联主要由年龄介导,而选择的RNFL和INL关联独立于年龄而持续存在。翻译相关性:区分年龄介导的与年龄无关的视网膜-皮层关系可能有助于识别oct衍生的视网膜测量,区分正常衰老与大脑病理,并支持其作为中枢神经系统(CNS)完整性的非侵入性生物标志物的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Translational Vision Science & Technology
Translational Vision Science & Technology Engineering-Biomedical Engineering
CiteScore
5.70
自引率
3.30%
发文量
346
审稿时长
25 weeks
期刊介绍: Translational Vision Science & Technology (TVST), an official journal of the Association for Research in Vision and Ophthalmology (ARVO), an international organization whose purpose is to advance research worldwide into understanding the visual system and preventing, treating and curing its disorders, is an online, open access, peer-reviewed journal emphasizing multidisciplinary research that bridges the gap between basic research and clinical care. A highly qualified and diverse group of Associate Editors and Editorial Board Members is led by Editor-in-Chief Marco Zarbin, MD, PhD, FARVO. The journal covers a broad spectrum of work, including but not limited to: Applications of stem cell technology for regenerative medicine, Development of new animal models of human diseases, Tissue bioengineering, Chemical engineering to improve virus-based gene delivery, Nanotechnology for drug delivery, Design and synthesis of artificial extracellular matrices, Development of a true microsurgical operating environment, Refining data analysis algorithms to improve in vivo imaging technology, Results of Phase 1 clinical trials, Reverse translational ("bedside to bench") research. TVST seeks manuscripts from scientists and clinicians with diverse backgrounds ranging from basic chemistry to ophthalmic surgery that will advance or change the way we understand and/or treat vision-threatening diseases. TVST encourages the use of color, multimedia, hyperlinks, program code and other digital enhancements.
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