Use of OCT in Neurodegenerative Diseases

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Article initiated by:
Bliss O'Bryhim, MD, PhD
All contributors:
Jared Raabe, MD, Robert Thomson, Koushik Tripathy, MD (AIIMS), Bliss O'Bryhim, MD, PhD, Claudia Prospero Ponce, MD, Ashwini Kini, MD, Robert A Hyde, MD, PhD, Jennifer I Lim MD, Tochukwu Ndukwe, MD
Assigned editor:
Claudia Prospero Ponce, MD, Robert A Hyde, MD, PhD
Review:
Assigned status Update Pending
 by Robert A Hyde, MD, PhD on April 29, 2024.


Introduction

Neurodegenerative diseases (NDDs) are devastating disorders which impair memory, cognition, movements, and general functioning. Although these diseases have distinctive patterns of signs and symptoms, they share many common features:

  • A strong association with age
  • Aberrant protein aggregation
  • A slow, relentless natural history[1]


This group of diseases is also characterized by an insidious onset in which neuropathological changes develop years before clinical presentation.[2]

NDDs are often difficult to diagnose in early stages due to heterogeneity of their initial presentation, the evolving nature of their course, and overlap with other neurologic conditions, and normal aging. This delays not only accurate diagnosis, but also initiation of treatment. Sadly, the clinical picture is often ambiguous until the disease is advanced and a significant amount of neuronal tissue has been irreversibly lost. The examples of NDDs include:

  • Alzheimer’s disease (AD)
  • Parkinson’s disease (PD)
  • Amyotrophic Lateral Sclerosis (ALS)/Motor neuron disease (MND)
  • Huntington's disease
  • Frontotemporal dementia


The retina is an extension of the central nervous system, and it is the only portion that can be viewed non-invasively. It stands to reason, therefore, that neurodegenerative disorders might also cause degeneration of neurons in the retina. Postmortem tissue studies have corroborated this hypothesis, showing loss of tissue thickness in Alzheimer’s disease (AD)[3] [4] [5], Parkinson’s disease (PD)[6], and Amyotrophic Lateral Sclerosis (ALS).[7] [8] However, whether this loss of tissue represents primary neurodegeneration within the retina itself or instead secondary retrograde degeneration due to neuronal and axonal loss in the brain has not yet been determined.

Optical coherence tomography (OCT) is a non-invasive imaging technique which uses reflected light to create high resolution, two or three dimensional representation of retinal architecture. Measurement of the various retinal layers allows for objective, quantitative assessment of structural damage in the visual pathway.[9] OCT has therefore emerged as a non-invasive and relatively inexpensive technique for capturing loss of central nervous system axons and neurons. Because of these advantages, OCT is now being explored as a potential tool to identify retinal changes in patients early in the course of NDDs, and to allow quantifiable, objective monitoring of axonal and neuronal loss with disease progression.

Retina layers by histology hematoxylin and eosin (H&E) stain. Notice that the OCT image follows the retinal layers as depicted in histology. Courtesy of Robert H. Rosa, Jr, MD.
Courtesy of AAO website.
Courtesy of Colin A. McCannel, MD at AAO website

For a video explanation of OCT imaging click here: https://www.aao.org/clinical-video/basic-principles-of-oct

OCT can identify changes in thickness within specific quadrants of the retina. Abnormalities in particular quadrants or combinations of quadrants may indicate a certain pathology and aid in distinguishing similar diseases or disease progressions.

More recently, a subset of OCT, the OCT Angiography is a modality that images integrity of the vasculature in the retina and optic nerve mainly assessing the blood perfusion.[10] It has already described abnormalities in Parkinson’s disease, Huntington’s disease, amyotrophic lateral sclerosis (ALS), Alzheimer's disease, and multiple sclerosis among others(Table 1). However, significant OCT Angiography studies still haven’t fully characterized the expected changes in some conditions, such as amyotrophic lateral sclerosis (ALS) and Huntington’s disease. Despite the lack of current studies, OCT Angiography is projected to be a useful tool for evaluating neurodegenerative diseases[11]

Table 1. Courtesy of Julia Guido.
Courtesy of Richard F. Spaide, MD at AAO Multimedia. This is an OCT angiography with projection artifact removal. A, Superficial vascular plexus with fractal branching. B, Deep vascular plexus. Notice the branching is different and the vessels are smaller than superficial plexus. C, Choriocapillaris with dark areas- low signal(signal voids).

Alzheimer’s Disease (AD)

Background

Alzheimer’s disease (AD) is the most common NDD, affecting an estimated 5 million Americans. This number is expected to rise to 14 million by 2050 as the general population ages.[12] It is characterized by massive neuronal loss in the hippocampus and cortex impairing memory and executive functioning[13], including dysfunction of speech, language, and perception. The pathology of AD is complex but characterized by loss of neurons, brain atrophy, extra-cellular deposition of amyloid Beta (Aβ) plaques, and intracellular accumulation of neurofibrillary tangles composed of phosphorylated tau protein.[14] Symptoms appear very gradually after years of collective neuronal loss.[2] Definite diagnosis formally requires brain biopsy or autopsy confirming the Aβ plaques and neurofibrillary tangles that characterize AD.[13][15] Clinical assessment is imprecise due to heterogeneity of presentation and overlap with other dementing disorders. However, there is evidence that pre-clinical AD (PCA) may be able to be detected in cognitively normal patients using positron emission tomography (PET) of Aβ binding and Aβ and Tau levels in cerebrospinal fluid.[14]

Ophthalmologic findings of AD include visual field deficits, more prominent in the inferior visual fields [16],decreased contrast sensitivity, impaired oculomotor function, and abnormal viewing behavior.[17] [18] [19] Visual dysfunction is common in AD and consists of impairment in spatial contrast sensitivity, motion perception, and color discrimination.[3] [4] [5] Although these deficits have been attributed to damage to the primary visual cortex and visual association areas, there is increasing evidence that cortical dysfunction alone cannot account for all of the visual defects in AD.

Autopsy studies published as early as 1986 revealed retinal abnormalities in patients with advanced AD.[3] [4] [5] Compared to age-matched healthy controls, AD patients were found to have neuronal loss throughout the retina[3], with the most significant decrease in neuronal density in the foveola.[4] Two subsequent reports confirmed these findings using electroretinography, finding retinal ganglion cell (RGC) dysfunction in AD patients.[20] [21] This work was corroborated by experiments using paraphenilene-diamine techniques.[22]

OCT Findings

OCT was first used to analyze retinal tissue structure in patients with AD in 2001,[23] and more than two dozen studies exploring its use in this disease have been published since. Studies have consistently reported thinning of the retinal nerve fiber layer (rNFL) compared to age-matched control subjects.[2][18][23][24] [25] Despite this general agreement, there is significant discrepancy in findings related to which quadrant is most severely affected.[2] [23] [25] A meta analysis of case-control, cross sectional studies, or prospective design studies published prior to December 2017 reviewed 30 eligible studies involving 1257 AD subjects and 1460 controls. Comparison of rNFL thickness in those with AD compared with healthy controls found decreased thickness in all retinal quadrants, of which the superior quadrant demonstrated the most significant reduction.[26] For the differences found in OCT, it is important to adjudicate if the OCT variability is influenced by intervisit or intravisit variabilities. In a study by Loh et.al[27], it was confirmed that changes were still present between mild cognitive impairment (MCI) and AD when compared to controls even after intra-inter visit variabilities were taken into account, with decreased average RNFL, superior RNFL quadrant and average ganglion cell layer between MCI and AD when compared to normal controls (approximately 12.40–20.00 µm, 27.10–30.09 µm and 3.42–4.99 µm, respectively).

Use of OCT to evaluate disease severity has proven more difficult. One study by Parisi, et al did not find correlation of thinning with age or mental status exam results,[23] while another by Paquet, et al. has been shown to be more severe in patients with advanced AD compared to those with mild disease.[25] Additionally, a study by Salobrar-García, et al found significant thinning of foveal, inner macular ring, and superior and inferior retinal density in Alzheimer’s patients compared to healthy controls. The study reported increased foveal thickness and inner macular ring thickness in patients with mild disease compared to moderate disease[28], suggesting the utility of OCT for determining disease progression and severity.

La Morgia et al failed to show any correlation between thinning and duration of disease or MMSE (mini-mental state examination) scores.[29] One of the major limitations of these studies is poor characterization of AD cohorts in terms of disease severity, as well as the presence or absence of biomarkers known to be associated with AD. Many use the Mini Mental Status Examination to evaluate disease severity, but it is a fairly crude assessment of cognitive function and provides limited insight into histopathologic changes.

To date, the ability of loss of rNFL and ganglion cells as measured by OCT to differentiate AD patients from control subjects, and the degree to which changes on OCT correlate to severity of AD remain understudied, and OCT may prove a promising candidate as a non-invasive biomarker to help predict future AD.

Parkinson’s Disease

Background

Parkinson’s disease (PD) is the second most common NDD. Patients present with progressive bradykinesia, tremor, rigidity, and postural instability due to loss of dopaminergic neurons in the substantia nigra and brainstem.[30] Symptoms generally appear only after loss of approximately 80% of these neurons.[31] Ophthalmologic complaints include blepharospasm, convergence insufficiency, and dry eye secondary reduced blinking due to alterations in efferent visual pathways. Visual deficits in PD include abnormal color contrast sensitivity, motion perception abnormalities, and impairment of visual acuity, color vision, stereopsis, and pupil reactivity.[32] As with AD, diagnosis is based on a general clinical picture and the elimination of other diagnoses. To date, no biomarker has been identified to confirm the diagnosis, although many new neuroimaging techniques are currently under investigation.[33]

Dopamine is an important neurotransmitter in the retina. Dopaminergic amacrine cells are present in the inner nuclear and inner plexiform layers (INL and IPL). Dopamine receptors have been identified on retinal pigment epithelial cells, photoreceptors, Mueller glial cells, bipolar cells, horizontal cells, and ganglion cells in the retina.[34] Dopamine modulates the receptive fields of the ganglion cell layer (GCL) to provide spatial contrast sensitivity and color vision, and has additional roles in light adaptation and regulation of melatonin production.[35] [36] Post-mortem analysis revealed that eyes from patients with PD have reduced dopamine content compared to age-matched controls.[6]

OCT Findings

Given the importance of dopamine in regulating several visual processes, many studies hypothesized retinal changes in PD. Early reports using time-domain OCTs found general thinning of the rNFL in PD patients, although there was some disagreement as to which quadrant was most severely affected.[31][37] Later studies with SD-OCT technology were less congruent; two reports supported earlier findings in PD patients with both mild[30] and severe[38] disease. Additionally, rNFL thinning was found to correlate with increased disease duration and stage,[39] as was measurement of peripapillary rNFL.[40] However, two reports found no difference in rNFL thickness of PD patients compared to control, although these studies included patients of non-specific disease stage [41]and with a wide range of disease duration.[42] To better evaluate these discrepancies, a meta-analysis of the data published in the last decade concluded that patients with PD have reduced rNFL thickness in all quadrants.[43]

Studies of foveal involvement have also produced controversial results. One small study found an association between foveal thinning and parkinsonian symptoms.[44] Another group reported no difference in foveal thickness in PD patients with advanced disease compared to controls, but did find asymmetry in foveal thickness between eyes of PD patients.[45] A third study reported both foveal thinning as well as asymmetry in foveal thickness. Interestingly, they also reported that the fovea was often thinnest in the eye contralateral to the limb with most severe parkinsonian symptoms, suggesting that ocular involvement of PD follows the same asymmetrical pattern that is seen elsewhere in the body.[46] Spund et al. reported thinning and broadening of the foveal pit of patients with PD. The authors suggested this change in foveal architecture may provide a “quantifiable signature of PD”.[47] Current studies are underway to mathematically characterize foveal pit changes that may serve as a predictive tool for PD diagnosis and progression.[48]

Examination of individual layers of the retina has also shown conflicting results. The first report by Albrecht et al. using manual segmentation reported increased INL thickness in PD patients compared to age-matched controls.[49] This finding was subsequently confirmed by Garcia-Martin and colleagues using automated logistic regression analysis, although these authors additionally report thinning of the rNFL, GCL, inner plexiform layer (IPL) and outer plexiform layer (OPL) in the same patient population.[39] Using a semi-automated method of differentiating retinal layers, however, Schneider et al. reported no differences in thickness of any retinal layer in PD patients compared to control.[50]


As the inner retinal layer (IRL) ['internal limiting membrane, nerve fiber layer, ganglion cell layer, and inner plexiform layer down to the inner nuclear layer interface'] specifically contains dopaminergic amacrine cells, several studies have examined the relationship of this layer and PD. Adam et al. found IRL thinning in PD patients compared to control.[51] Similarly, a study of paramacular IRL found an approximate 15% decrease in thickness in PD patients compared to age-matched controls.[52] This was hypothesized to be directly due to the loss of dopaminergic cells in PD pathogenesis.[47][51]


Recently, new swept source OCT (SSOCT) technology has confirmed retinal thinning in PD patients, while also showing increased choroidal thickness. The authors suggest choroidal thickening could be a consistent feature of PD, but studies so far are contradicting each other and both suggest possible vascular changes, alterations in perivascular connective tissue density and hypoperfusion.[53]

More work is needed to better understand changes in the retina that occur during PD progression. Although some controversy remains in which specific markers are most useful and most reliable for early detection of PD, the literature largely supports the presence of retinal changes during disease progression that can potentially be used to both diagnose and monitor early disease progression.

Progressive Supranuclear Palsy and Multiple Systems Atrophy

Progressive supranuclear palsy (PSP) and multiple systems atrophy (MSA) are rare variants of NDD. PSP is characterized by degeneration of neurons in the basal ganglia and brainstem, including the substantia nigra. Clinically, patients present with vertical ophthalmoplegia, postural instability, pseudobulbar palsy, mild dementia and parkinsonism unresponsive to levodopa; however, there is wide variation in presentation and significant overlap amongst this sub-group of NDDs, making the diagnosis difficult.[54]

MSA is a sporadic NDD characterized by various degrees of autonomic dysfunction, cerebellar abnormalities, parkinsonism, and corticospinal degeneration. MSA can be further classified into two sub-types, one involving degeneration of nigrostriatal pathways with parkinsonian features. The second primarily involves olivopontocerebellar atrophy and presents with more prominent cerebellar ataxia. Given the diverse clinical features of MSA and significant overlap with PD and PSP, early diagnosis of MSA can be challenging. As in other NDDs, a diagnosis of MSA is presumed until confirmed by post-mortem autopsy with tissue samples showing α-synuclein inclusions in glial cells.[55]

Use of OCT has been explored as a means to better distinguish PSP and MSA, although with conflicting results. Using software based on tensor imaging and fiber tracking software to allow for semi-automated measurement of individual retinal layers, Schneider et al.[50] found retinal changes that were both sensitive and specific to each disease. Patients with PSP were found to have thickening of the OPL[49][50] with relative thinning of the outer nuclear layers ONL compared to controls. The ONL:OPL ratio was found to have a sensitivity of 88% and specificity of 91% in differentiating PSP (<5.03) and MSA (>5.03).[50] Furthermore, patients with MSA had increased thickness of the OPL compared to both healthy control subjects and those with PSP, which may serve as selective marker of this disease.[50]

Recently, spectral domain optical coherence tomography (SD-OCT) has been employed to evaluate retinal thickness in PSP both individually and compared to PD patients. Significant differences were found both compared to age-matched controls and PD patients, so SD-OCT has shown promise as a future diagnostic aid for PSP.[56] [57]

Amyotrophic Lateral Sclerosis

Background

Amyotrophic Lateral Sclerosis (ALS), commonly known as “Lou Gehrig’s Disease”, is a progressive paralyzing disease caused by degeneration of both upper and lower motor neurons in the primary motor cortex, brainstem, and spinal cord.[58] The diagnosis of ALS is one of exclusion as there are no currently known specific biomarkers of the disease; unfortunately, this often results in initial misdiagnosis of a significant number of patients who present early in their disease course with only lower motor neuron signs.[58]

Evidence has suggested as early as the 1960s that the degeneration in ALS may also involve non-motor neurons.[59] [60] This has been investigated using a variety of techniques, including sensory action potentials,[61] [62] [63] [64] nerve biopsy,[61] [62] and MRI imaging of the sensory cortex.[65] These reports confirm the involvement the sensory neurons in up to a third of patients with ALS.[62]

Visual complaints are not frequent in ALS patients, although it is known to affect the oculomotor pathways late in disease progression. Other ophthalmic findings include gaze fixation instability, saccadic abnormalities, supranuclear gaze palsies, and reduced Bell’s phenomenon. A recent cross sectional study found additionally reduced visual acuity in ALS patients.[66] Smaller case studies of familial ALS have also suggested decreased contrast sensitivity[7] and efferent pupillary defect.[8]

OCT Findings

OCT imaging has more recently been used to both explore early diagnosis of ALS as well as to examine involvement of the optic neuron in the degenerative process. Using a generalized estimating equation to determine RNFL thickness, no differences were found between retinas of ALS patients and those from age-matched controls.[67] Additionally, no association between RNFL thickness and disease severity has been found.[67][68] However, a study of patients with familial ALS reported optic nerve pallor with corresponding loss of the papillomacular bundle and thinning of the RNFL on OCT imaging,[69] suggesting that OCT analysis may be useful in at least some subsets of ALS diseases. A 2017 study by Mukherjee et al used SD-OCT to demonstrate retinal thinning in 21 ALS patients who did not have concomitant ocular pathology, suggesting potential use as a diagnostic aid may increase as OCT technology improves.[70]

The discrepancies in findings may be related to the wide variation in underlying pathophysiological mechanisms of ALS as well as the inclusion of patients in different stages of disease progression. Ongoing studies seek to better understand the interplay between specific etiologic factors and ophthalmic manifestations of ALS[68][71] as well as to identify potential biomarkers for more accurate and earlier diagnosis of this disease.[72] [73]

Huntington's Disease

Background

Huntington's disease (HD) is a fully penetrant neurodegenerative disease caused by a dominantly inherited CAG trinucleotide repeat expansion in the huntingtin gene on chromosome 4. Those with greater than 39 CAG repeats are certain to develop the disease, while reduced penetrance is seen between 36 and 39 repeats. HD is characterized by cognitive, motor, and psychiatric disturbances.[74]

HD causes neuronal loss in the brain, especially in the cortex and striatum.[75] Visual features include inability to perform voluntary saccades and fixation and pursuit abnormalities.[76][77] Fewer neuronal connections have been found between the frontal cortex and caudate nucleus in HD patients, and this pathway corresponds to the one used to initiate voluntary saccades.[78]

OCT in Huntington's disease (HD)

There has been varying results for retinal thickness on OCT in HD patients. One paper found that even though the average peripapillary retinal nerve fiber layer in patients was similar to that of the control group, the temporal RNFL was significantly thinner in HD patients (62.3 um vs. the control group at 69.8 um).[79] A second study concurred that there is temporal RNFL thinning in HD patients and also suggested that the superior RNFL could be similarly impacted.[80] A third study did not find either temporal or superior RNFL thinning.[81]

Frontotemporal Dementia

Background

Frontotemporal dementias (FTD) are a heterogeneous group of neurodegenerative disorders characterized by marked impairments in behavior, personality, language, and motor function. FTD is the second most common form of cognitive impairment in those 65 and younger.[82] Patients with FTD commonly demonstrate apathy, disinhibition, social withdrawal, and language impairments. Patients may also exhibit motor symptoms such as muscle atrophy (motor neuron disease), apraxia (corticobasal syndrome), falls, and eye movement abnormalities (progressive supranuclear palsy).[83][84] FTD is pathologically characterized by frontal and temporal lobar atrophy of the brain accompanied by astrocytosis, microgliosis, and the deposition of misfolded proteins, including tau, FUS and TDP-43.6.[82] [85]

OCT Findings

Although there have been very few studies, recent data suggests that outer retinal thinning may be an ocular signature of FTD. Kim et al. reported significant thinning of two outer retinal layers—the outer nuclear layer (ONL) and ellipsoid zone (EZ)—in patients with FTD as compared to subjects without dementia, controlling for age, sex, and race.[86] In a follow-up study investigating the relationship between the rate of change of retinal thickness and progression of FTD, Kim et al. reported an association between interval reductions in outer retinal thickness and cognitive decline quantified with MMSE.[87]

Conclusions

Neurodegenerative diseases are devastating conditions with insidious and relentless progression. There is a need for early detection of diseases prior to severe symptom onset.[15][88] Immunohistochemical studies have demonstrated that NDDs frequently involve the neural retina, resulting in alterations of architecture which can be readily observed using OCT technology. Although other neuroimaging modalities are currently being explored, including PET and SPECT, many are cumbersome, expensive and invasive. OCT is relatively quick and inexpensive, and completely non-invasive, and may prove to be an appealing adjunct or alternative for screening and monitoring of NDDs.

References

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