Retinal electrophysiology in central nervous system disorders: A review of human and mouse studies

Paul Constable, Jeremiah Lim, Dorothy Thompson

Research output: Contribution to journalReview articlepeer-review

9 Citations (Scopus)
80 Downloads (Pure)

Abstract

The retina and brain share similar neurochemistry and neurodevelopmental origins, with the retina, often viewed as a “window to the brain.” With retinal measures of structure and function becoming easier to obtain in clinical populations there is a growing interest in using retinal findings as potential biomarkers for disorders affecting the central nervous system. Functional retinal biomarkers, such as the electroretinogram, show promise in neurological disorders, despite having limitations imposed by the existence of overlapping genetic markers, clinical traits or the effects of medications that may reduce their specificity in some conditions. This narrative review summarizes the principal functional retinal findings in central nervous system disorders and related mouse models and provides a background to the main excitatory and inhibitory retinal neurotransmitters that have been implicated to explain the visual electrophysiological findings. These changes in retinal neurochemistry may contribute to our understanding of these conditions based on the findings of retinal electrophysiological tests such as the flash, pattern, multifocal electroretinograms, and electro-oculogram. It is likely that future applications of signal analysis and machine learning algorithms will offer new insights into the pathophysiology, classification, and progression of these clinical disorders including autism, attention deficit/hyperactivity disorder, bipolar disorder, schizophrenia, depression, Parkinson’s, and Alzheimer’s disease. New clinical applications of visual electrophysiology to this field may lead to earlier, more accurate diagnoses and better targeted therapeutic interventions benefiting individual patients and clinicians managing these individuals and their families.

Original languageEnglish
Article number1215097
Number of pages30
JournalFrontiers in Neuroscience
Volume17
DOIs
Publication statusPublished - 2 Aug 2023

Keywords

  • Psychiatry
  • Retinal biomarkers
  • Retina
  • PERG
  • Electro-oculogram
  • Electroretinogram
  • Central nervous system
  • ERG

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