Measures of Retinal Structure and Function as Biomarkers in Neurology and Psychiatry

Q2 Medicine
Steven M. Silverstein , Docia L. Demmin , Jesse B. Schallek , Samantha I. Fradkin
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引用次数: 29

Abstract

Investigators have increasingly turned to studying the retina as a window into brain structure and function. In neuropsychiatric diseases, retinal anatomy as assessed by optical coherence tomography (OCT) and retinal cell function as assessed by various forms of electroretinography (ERG) demonstrate notable changes. In addition, many studies indicate significant correlations between retinal changes and clinical features such as cognitive decline, overall illness severity, and progression of illness. Here, we review retinal findings in psychiatric (schizophrenia, autism, mood disorders, attention deficit hyperactivity disorder, anorexia nervosa), and neurologic (multiple sclerosis, Parkinson's disease, Alzheimer's disease and mild cognitive impairment, Huntington's disease, traumatic brain injury) conditions, in terms of their potential as biomarkers of disease onset, progression, severity, and outcomes. Consistency and variability in findings across studies are highlighted, and implications for future research are discussed. Potential confounds and methodological issues central to studies of retinal structure and function in neuropsychiatry are also considered. The review concludes with discussions of: a) recent advances in retinal imaging and their potential applications for studying brain disorders; and b) the potential for applications of artificial intelligence to increasing the predictive validity of retinal data.

视网膜结构和功能作为神经病学和精神病学生物标志物的测量
研究人员越来越多地将研究视网膜作为研究大脑结构和功能的窗口。在神经精神疾病中,通过光学相干断层扫描(OCT)评估的视网膜解剖和通过各种形式的视网膜电图(ERG)评估的视网膜细胞功能显示出明显的变化。此外,许多研究表明,视网膜变化与临床特征,如认知能力下降、整体疾病严重程度和疾病进展之间存在显著相关性。在这里,我们回顾了精神疾病(精神分裂症、自闭症、情绪障碍、注意缺陷多动障碍、神经性厌食症)和神经疾病(多发性硬化症、帕金森病、阿尔茨海默病和轻度认知障碍、亨廷顿病、创伤性脑损伤)的视网膜发现,以及它们作为疾病发病、进展、严重程度和结局的生物标志物的潜力。强调了研究结果的一致性和可变性,并讨论了对未来研究的影响。潜在的混淆和方法问题的中心研究视网膜结构和功能在神经精神病学也被考虑。本文最后讨论了视网膜成像的最新进展及其在脑疾病研究中的潜在应用;b)人工智能在提高视网膜数据预测有效性方面的应用潜力。
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
Biomarkers in Neuropsychiatry
Biomarkers in Neuropsychiatry Medicine-Psychiatry and Mental Health
CiteScore
4.00
自引率
0.00%
发文量
12
审稿时长
7 weeks
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