The use of optical coherence tomography in neurology: a review

Xie, Jim; Donaldson, Laura; Margolin, Edward

doi:10.1093/brain/awac317

Cited by 27 publications

(22 citation statements)

References 216 publications

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“…RNFL and GCIPL thicknesses are indicators of retinal ganglion cell structure integrity, 29 where the RNFL comprises retinal ganglion cell axons whereas the GCIPL comprises the cell bodies and dendrites of the retinal ganglion cells 30 . The ONH is the main ocular site for IH thus, an insult to the ONH causes atrophy ultimately leading to thinning of these neuronal layers during IH 31 as seen in our study.…”

Section: Discussionsupporting

confidence: 69%

Retinal microvascular and structural changes in intracranial hypertension patients correlate with intracranial pressure

et al. 2023

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AimsWe aimed to evaluate the retinal microvascular and structural changes in intracranial hypertension (IH) patients compared with an age‐ and sex‐matched control group. We also investigated the association between clinical parameters and retinal changes in IH patients.MethodsIntracranial hypertension patients were divided into eyes with papilledema (IH‐P) and eyes without papilledema (IH‐WP). IH patients underwent lumbar puncture to measure intracranial pressure (ICP); visual acuity was performed using the Snellen chart. Optical coherence tomography (OCT) was used to image and measure the retinal nerve fiber layer (RNFL) and ganglion cell‐inner plexiform layer (GCIPL) while OCT angiography was used to image and measure the superficial vascular complex (SVC) and deep vascular complex (DVC).ResultsIntracranial hypertension patients showed reduced microvascular densities and thinner retinal thicknesses compared with the control group (all p < 0.001). Compared with the control group, IH‐P showed reduced microvascular densities and thinner retinal thicknesses (all p < 0.001). IH‐P showed reduced SVC density and thinner retinal thicknesses when compared with IH‐WP (p = 0.008 for SVC, p = 0.025 for RNFL, and p = 0.018 for GCIPL). ICP correlated with the microvascular densities and GCIPL thickness in IH patients (p = 0.025 for GCIPL, p = 0.004 for SVC, and p = 0.002 for DVC). A significant association of ICP with SVC (p = 0.010) and DVC (p = 0.005) densities were also found in IH‐P.ConclusionsGiven the observed differences in these noninvasive retinal imaging markers, further research into their clinical utility in IH is needed.

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Section: Discussionsupporting

confidence: 69%

Retinal microvascular and structural changes in intracranial hypertension patients correlate with intracranial pressure

et al. 2023

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“…These layers can be individually segmented in vivo in cross-sectional scans, and their thickness quantified with a non-invasive and reproducible technology called optical coherence tomography (OCT), that achieves a high resolution in cross-sectional images ( Figure 1 a), similar to that obtained in histological sections [ 11 ]. OCT technology has been extensively used to study biomarkers in other CNS disorders [ 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

Macular Anatomy Differs in Dyslexic Subjects

García-Medina

Bascuñana-Mas

Sobrado‐Calvo

et al. 2023

JCM

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The macula, as the central part of the retina, plays an important role in the reading process. However, its morphology has not been previously studied in the context of dyslexia. In this research, we compared the thickness of the fovea, parafovea and perifovea between dyslexic subjects and normal controls, in 11 retinal segmentations obtained by optical coherence tomography (OCT). With this aim, we considered the nine sectors of the Early Treatment Diabetic Retinopathy Study (ETDRS) grid and also summarized data from sectors into inner ring subfield (parafovea) and outer ring subfield (perifovea). The thickness in all the four parafoveal sectors was significantly thicker in the complete retina, inner retina and middle retina of both eyes in the dyslexic group, as well as other macular sectors (fovea and perifovea) in the inner nuclear layer (INL), inner plexiform layer (IPL), IPL + INL and outer plexiform layer + outer nuclear layer (OPL + ONL). Additionally, the inner ring subfield (parafovea), but not the outer ring subfield (perifovea), was thicker in the complete retina, inner retina, middle retina (INL + OPL + ONL), OPL + ONL, IPL + INL and INL in the dyslexic group for both eyes. In contrast, no differences were found between the groups in any of the sectors or subfields of the outer retina, retinal nerve fiber layer, ganglion cell layer or ganglion cell complex in any eye. Thus, we conclude from this exploratory research that the macular morphology differs between dyslexic and normal control subjects, as measured by OCT, especially in the parafovea at middle retinal segmentations.

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“…The axons of RGCs form the optic nerve, which extends to the thalamus and the midbrain. Studies have shown that retinal atrophy may occur in conjunction with CNS pathologies, due to injury to ganglion cells, direct degeneration of the pregeniculate pathway or retrograde trans-synaptic degeneration secondary to postgeniculate lesions 8…”

Section: Introductionmentioning

confidence: 99%

“…Notably, studies have employed OCT images to reveal retinal changes in neurodegenerative diseases, including thinning of the retinal nerve fibre layer (RNFL) 9 10. Peripapillary RNFL and macular ganglion cell complex (GCC) thickness measured by OCT have been applied to efficiently diagnose and monitor neurological disorders 8. Ong et al 11 reported that retinal neuronal damage was associated with grey matter atrophy, suggesting that retinal changes could reflect neurodegenerative changes in the brain.…”

Section: Introductionmentioning

confidence: 99%

Role of optical coherence tomography in depression detection: a protocol of systematic review and meta-analysis

et al. 2023

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IntroductionOptical coherence tomography (OCT) is a non-invasive approach for detecting changes in the retinal layers, which may also reflect changes in brain structure and function. As one of the leading causes of disability worldwide, depression has been associated with alteration of brain neuroplasticity. However, the role of OCT measurements in detecting depression remains unknown. This study aims to employ a systematic review and meta-analysis approach to explore ocular biomarkers measured by OCT for detecting depression.Methods and analysisWe will search studies describing the relationship between OCT and depression across seven electronic databases, and retrieve articles published from database inception to date. We will also manually search grey literature and reference lists included in the retrieved studies. Two independent reviewers will screen studies, extract data and assess risk of bias. Target outcomes will include peripapillary retinal nerve fibre layer thickness, macular ganglion cell complex thickness and macular volume, as well as other related indicators. Next, we will conduct subgroup analysis and meta-regression to explore study heterogeneity, then perform sensitivity analysis to investigate the robustness of the synthesised results. Meta-analysis will be performed using Review Manager (V.5.4.1) and STATA (V.12.0), and the certainty of evidence will be graded according to the Grading of Recommendations Assessment, Development and Evaluation system.Ethics and disseminationEthics approval is not necessary because the data used in this systematic review and meta-analysis will be extracted from published studies. Study results will be disseminated by publishing our findings in a peer-reviewed journal.

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The use of optical coherence tomography in neurology: a review

Cited by 27 publications

References 216 publications

Retinal microvascular and structural changes in intracranial hypertension patients correlate with intracranial pressure

Retinal microvascular and structural changes in intracranial hypertension patients correlate with intracranial pressure

Macular Anatomy Differs in Dyslexic Subjects

Role of optical coherence tomography in depression detection: a protocol of systematic review and meta-analysis

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