Abstract
OCTA imaging in optic neuropathies.
Keywords: Alzheimer’s disease, dominant optic atrophy, erythrocyte mediated angiography, glaucoma, Leber’s hereditary optic neuropathy, optic neuropathy, optical coherence tomography angiography, Parkinson’s disease, retinal blood flow, schizophrenia, vasomotion, Wolfram Syndrome
Introduction
Optical coherence tomography angiography (OCTA) is an emerging technique for non-invasively imaging the ocular vasculature. OCTA enables en-face visualization of the retinal circulation into anatomic slabs of the superficial as well as deep vascular networks supplying the various retinal layers (Figure 1). In addition, OCTA provides quantitative measurements of retinal vascular anatomy, permitting an objective approach for evaluating vascular pathology in disease.1 Vessel density and perfusion density are two OCTA metrics frequently reported in the literature. In particular, vessel density represents the percentage of blood vessels occupying a given area following image binarization, whereas perfusion density reflects the percentage of blood vessels occupying a given area following image skeletonization.1
The eye, and more particularly, the optic nerve and the retina share many vascular characteristics with the central nervous system (CNS). Measuring the structural and functional changes within the ocular vasculature may be useful as an objective, quantitative means of non-invasively evaluating the cerebrovascular architecture.2,3 The current article reviews the most recent applications of OCTA imaging at the eye–brain interface and highlights the emerging vascular biomarkers for neurodegenerative optic neuropathies.
Alzheimer’s disease
Alzheimer’s disease (AD) is the leading cause of dementia, affecting more than 5.8 million Americans, and is the most expensive disease in the United States at a total cost of $290 billion in 2019.4 As the field of medicine prolongs life, the number of people suffering from AD increases together with aging and is estimated to quadruple by 2050.4 Ophthalmologic impairments including loss of visual acuity, color recognition, and motion perception have all been reported in AD. Intriguingly, these visual changes have been documented not only in the early stages of disease, but also in the presymptomatic stages.5–10 In addition, visual abnormalities in AD have been associated with degeneration of the anterior visual pathways, as first demonstrated histopathologically using postmortem human tissues.11–14
Vascular abnormalities in AD include impaired β-amyloid (Aß) clearance and subsequent breakdown of the blood–brain barrier followed by cerebrovascular dysfunction.15–18 Similar mechanisms of cortical neurodegeneration involving amyloid deposition have also been observed in the optic nerve and retina.19–21 Given this resemblance between the cerebral and the intraocular vasculature, investigators have increasingly sought to identify potential oculovascular biomarkers for AD.
Retinal vascular pathology in AD
Histological studies in AD human retina have provided evidence of vascular pathology resembling that of the cerebral vasculature including narrowed vessel caliber, reduced blood flow, and increased blood oxygen saturation as well as tortuosity.20,22–30 Schultz and colleagues reported significant differences in islet amyloid polypeptide levels, pericyte number, and vessel length between retinal fractions derived from AD and non-demented patient cases. In addition, these retinal parameters significantly correlated with corresponding variables in respective hippocampal fractions.31 Initial live-patient studies conducted by Berisha and colleagues hypothesized that retinal atrophy in AD may be associated with abnormal retinal blood flow. In particular, Berisha and colleagues measured retinal blood flow column diameter and flow rates in early AD using laser Doppler imaging. AD subjects featured significant retinal nerve fiber layer (RNFL) loss superiorly accompanied by decreased flow rate and narrowing of the superior temporal retinal vein relative to controls.20 Using fundus photography and automated vessel segmentation software, Cheung and colleagues23 demonstrated narrowing of retinal vessel caliber, decreased fractal dimension, and pronounced vessel tortuosity in AD patients relative to controls.
Bulut and colleagues were the first to evaluate the vascular density and foveal avascular zone (FAZ) of the retina in AD using OCTA. Relative to controls, they found significant enlargement of the FAZ and decreased vascular density for all retinal zones of the superficial vascular complex in AD.15 These vascular changes may be associated with reduced angiogenesis from the binding of vascular endothelial growth factor (VEGF) to Aβ.19,21 Aβ accumulation and subsequent plaque formation in vessel walls may also occlude and thus impair blood flow.20,32 Studies conducted by Jiang and colleagues similarly showed loss of retinal vessel density in AD. In particular, the superficial capillary plexus (SCP) and deep capillary plexus (DCP) were both markedly attenuated in AD, whereas only the DCP was significantly affected in mild cognitive impairment (MCI).33 In addition, a progressive pattern of vessel loss from MCI to AD was observed, suggesting OCTA’s potential role in detecting the conversion from MCI to AD.33 Given the non-uniform distribution of retinal ganglion cells and their corresponding vascular supply, Jiang and colleagues33 also reported sectoral differences with respect to vascular pathology, whereby vessel density was highest between 0.5 to 1.25 mm from the fovea. Notably, however, Mini–Mental State Examination (MMSE) scores did not correlate with retinal vascular changes in AD relative to controls. This demonstrates that there is relatively low sensitivity of the MMSE to differentiate MCI from AD.34,35 Further studies by Yoon and colleagues36 have confirmed retinal vascular changes in AD and MCI. In this relatively large cross-sectional study, AD participants showed significantly reduced macular vessel density and perfusion density of the SCP relative to MCI and control subjects. In contrast to previous studies, the FAZ did not significantly differ among the three cohorts. These variable findings may be attributed to confounding factors including glaucoma and retinal disease, segmentation algorithms, and the diagnostic criteria for AD and MCI.37–39 Additional diagnostics using positron emission tomography (PET) imaging or lumbar puncture may be necessary for homogenizing cohorts in future studies. This is especially important since MCI is a complex, heterogeneous group that includes patients who may not progress to AD, may revert back to being cognitively normal, or may demonstrate non-AD dementia.40
Querques and colleagues41 evaluated the functional and morphological characteristics of the retinal vasculature in AD and MCI. Using both dynamic vessel analyzer (DVA) and OCTA, the study demonstrated significant impairment of retinal neurovascular coupling not only in AD, but also in MCI. In addition, vascular impairment was inversely correlated with the level of Aβ in the cerebrospinal fluid (CSF). During DVA testing, the group observed an overall reduction of vessel response, mostly involving arterial vasodilation. DVA analysis also demonstrated an altered vascular response to flicker stimulus in MCI.41 Therefore, functional alterations in the retinal vasculature may occur earlier in disease pathogenesis and precede structural changes. These findings further support those by Jiang and colleagues,33 whereby vascular parameters may aid in predicting the transition from MCI to AD. Notably, CSF Aβ levels directly correlated with arterial dilation level after flicker, suggesting a potential relationship between Aβ load and neurovascular coupling. This is consistent with the known inverse correlation between Aβ levels in the brain with CSF Aβ levels, and the direct correlation with CSF phosphorylated-tau levels.42
However, the clinical utility of the retinal vasculature as a purported surrogate marker for AD remains inconclusive, given the inconsistent findings between groups and the various limitations of OCTA associated with live-patient studies. Problems include reduced cooperation in patients who are cognitively compromised and the persistent challenge of unequivocally diagnosing AD clinically.42,43 Results may be confounded by artifacts or poor scan quality, as may be caused by poor subject compliance and fixation deficits.15 Therefore, data derived from subjects with advanced disease may not always reliably reflect AD.
Notably, more recent OCTA studies have also evaluated the retinal vasculature in cognitively healthy, preclinical AD. Reported findings include increased FAZ area along with decreased vessel density and flow in these presymptomatic stages.44,45 In contrast, den Haan and colleagues showed no significant decrease in vessel density or increase in FAZ in asymptomatic participants with AD pathology, after adjusting for age and sex. In addition, there were no associations between retinal vascular parameters and CSF biomarkers or MMSE scores.46 Taken together, these findings suggest that retinal vascular pathology may possibly precede cognitive impairment. Nevertheless, results have varied across groups and additional studies involving larger cohorts are necessary for validation.
Correlations with primary open-angle glaucoma
Primary open-angle glaucoma (POAG) is a progressive neurodegenerative optic neuropathy characterized by retinal ganglion cell atrophy and associated visual field loss. Aside from elevated intraocular pressure, vascular pathology, among other etiologies, has long been implicated in glaucoma pathogenesis.47 Early fluorescein angiography (FA) studies have shown reduced optic nerve head fluorescence, delayed arterial-venous transit times, and diffuse hypoperfusion of glaucomatous discs.48–50 Since the development of OCTA, numerous studies have provided evidence of vascular pathology in glaucoma and the diagnostic potential of the peripapillary and macular vasculature in different stages of disease (see Bekkers and colleagues51 for comprehensive review). More recently, OCTA has also been used to evaluate the potential relationship between dementia and POAG. AD and POAG are neurodegenerative diseases associated with apoptosis of nerve cells and impairment of microvasculature.52 Both AD and POAG affect similar populations of older people and are commonly referred to as diseases of accelerated aging.53 Studies on the pathogenesis of glaucoma have shown a significant decrease in Aβ as well as an increase in tau protein levels in the vitreous body.54 These results resemble CSF protein levels in AD.55 Retinal vascular changes have also been compared between glaucoma and AD. Notably, the superficial vessels may be more impaired in POAG, whereas the vessels supplying the deeper layers of the retina are more affected in AD.56 Zabel and colleagues showed decreased vascular density in deep vascular plexus (DVP) and FAZ enlargement in AD relative to glaucoma and healthy control subjects. For the POAG group, significant changes occurred in the radial peripapillary capillary plexus (RPCP) and in the SCP, which correlated with peripapillary RNFL thickness reduction.56 These OCTA findings suggest notable patterns of vessel attenuation in the retina that may be used to discern between AD and POAG. Nevertheless, additional studies confirming and elaborating on these findings are necessary, especially given the potentially confounding effects of anti-glaucoma medication on ocular hemodynamics.56
Parkinson’s disease
Parkinson’s disease (PD) is a leading neurodegenerative disorder characterized by abnormal deposition of cytoplasmic α-synuclein (α-syn) protein inclusions leading to progressive loss of dopaminergic neurons.57 In particular, dopamine depletion following neuronal loss in the nigrostriatal pathway leads to characteristic motor symptoms in PD including bradykinesia, resting tremor, rigidity, and postural instability.58,59 However, non-motor symptoms have similarly been described in this disease including behavioral and autonomic nervous system disturbances, dementia, and ophthalmologic impairments.58–62 In fact, studies have provided significant histopathological evidence of retinal α-syn aggregation in PD.63 These retinal findings may possibly explain the visual impairments frequently observed in PD including visual acuity, color discrimination, motion perception, and contrast sensitivity.60
Several studies have provided evidence of vascular pathology in PD retina. Miri and colleagues64 quantified the perifoveal capillary network in 23 PD patients and 13 healthy controls using FA. PD patients exhibited significant reduction in FAZ area, which correlated inversely with foveal thinning. In addition, foveal thinning was highly associated with disease duration and motor impairment in PD patients.64 More recently, OCTA retinal imaging has also been applied in PD. Studies conducted by Kwapong and colleagues first described vascular pathology in 38 early PD and 28 control subjects using OCTA. Microvascular density was markedly reduced in the total 2.5-mm annular zone (TAZ) of the macula, most pronounced in the SCP, whereas the DCP was overall spared in PD patients relative to healthy controls. In addition, correlation analysis revealed a significant relationship between SCP vessel attrition and ganglion cell-inner plexiform layer (GC-IPL) thickness, suggesting a vascular contribution to retinal degeneration in PD.65
Schizophrenia
Schizophrenia, a severe mental illness characterized by psychotic symptoms and behavioral disturbances, is a leading cause of disease-related disability in the world.66 Notably, however, its pathogenesis remains unclear largely due to the difficulty of directly assessing its neuronal-level dysfunctions. Aside from psychiatric abnormalities, visual and ophthalmologic impairments from color recognition to motion perception have also been reported in schizophrenia spectrum disorders (SSDs).67 Recent studies have shown neurological features in SSD similar to AD and PD including cognitive impairment and dopamine dysregulation, respectively.68 Since the advent of OCT, there has been a renewed interest in ophthalmologic studies of schizophrenia. Intriguingly, recent reports have provided evidence of retinal ganglion cell and nerve fiber atrophy, suggesting potential ocular biomarkers for schizophrenia as a neurodegenerative disease process.68
Neuroimaging studies have illustrated impaired circulation in schizophrenic patients, suggesting vascular involvement in this disease.69–71 More recently, researchers have similarly sought to evaluate the retinal vasculature in SSD retina. Initial retinal imaging studies conducted by Meier and colleagues showed significant widening of retinal venule caliber in schizophrenia, which notably correlated with psychotic symptoms reported in adulthood as well as in childhood. The authors proposed that these vascular findings may reflect a limited brain oxygen supply, since subjects with wider venules developed schizophrenia.72,73 Several studies have also evaluated the retinal vasculature in SSD using OCTA. Kasetty and colleagues performed OCT and OCTA imaging in 19 SSD patients and eight healthy controls. While retinal thickness did not significantly differ between groups, vessel and perfusion densities of the parafoveal superficial vascular plexus (SVP) were markedly reduced in SSD patients relative to controls. Intriguingly, however, DCP perfusion density was notably greater in patients as compared to controls.74 In a prospective study of 39 SSD patients and 27 healthy controls, Asanad and colleagues75 reported a significant reduction in peripapillary SVP perfusion density temporally and increased central macular SVP vessel density in patients relative to controls. Lizano and colleagues analyzed the macular SVP in 24 SSD patients and 16 healthy controls using Swept Source OCTA. Relative to controls, Lizano and colleagues found no significant differences in vessel density in SSD patients. Notably, however, SVP vessel diameter was markedly increased in SSD. In addition, increased vessel diameter was associated with worse negative symptoms, whereas decreased vessel tortuosity was associated with reduced cognitive function.76 Additional studies in schizophrenic patients may provide important insight into disease pathogenesis and diagnosis.
Mitochondrial optic neuropathies
Mitochondrial optic neuropathies are another class of neuro-ophthalmic disease where OCTA has recently been applied in identifying vascular biomarkers. Among these include Leber’s hereditary optic neuropathy (LHON), dominant optic atrophy (DOA), and Wolfram syndrome (WS).
LHON
LHON is a rare, mitochondrial neurodegenerative disease of the optic nerve, characteristically involving bilateral vision loss and preferentially occuring in males as compared to females, having a 9:1 gender distribution ratio, respectively.77 Various studies have advanced our understanding of LHON pathogenesis in relation to the microvascular blood supply. Nikoskelainen and colleagues first provided evidence of vascular pathology in LHON. In asymptomatic patients, FA showed peripapillary microangiopathy with arteriovenous shunting in telangiectatic vessels.78–80 In acute LHON, Nikoskelainen and colleagues reported maximal dilation and rapid flow of arteries and telangiectatic vessels with reduced filling of the papillomacular capillaries. In chronic stages, FA showed diminished optic nerve head vascularity and delayed arteriovenous circulation.80 Recent applications of OCTA have expanded upon these early qualitative findings by providing more objective and precise quantitative measures of vascular pathology. Balducci and colleagues used OCTA to detect significant peripapillary microvascular changes over the disease course of LHON. Intriguingly, decreased RPCP vessel density corresponded with loss of the RGC-IPL and preceded thinning of the RNFL.81
In addition to the peripapillary region, OCTA studies have also provided evidence of pathology associated with the macular vasculature in different disease stages of LHON.82–84 OCTA in acute LHON showed increased vascular perfusion along with microangiopathic vascular telangiectasias (Figure 2), whereas subacute LHON featured vascular attrition of the FAZ, which was markedly enlarged.84 Borrelli and colleagues showed quantitative differences in the macular retinal and choroidal circulation in chronic LHON. Similar to acute and subacute LHON, vascular attenuation in chronic disease stages preferentially involved the macular region comprising the papillomacular bundle (PMB), which contains the smallest caliber retinal ganglion cell fibers that are the most vulnerable to mitochondrial dysfunction.84–86 OCTA has improved upon previous imaging technologies through enhanced visualization of the optic disc and the retinal microvasculature, non-invasively. Relative to previous subjective findings by conventional angiography, these OCTA studies provide new insights into the evolution of mitochondrial optic neuropathies and introduce the clinical utility of vascular metrics as objective, quantitative biomarkers for LHON.
DOA
DOA is another inherited mitochondrial optic neuropathy affecting the retinal ganglion cells with similarities to LHON. DOA is most commonly associated with a mutation in OPA1, a nuclear gene on chromosome 3q28-q29, which regulates normal mitochondrial morphology.87 Among its roles, OPA1 maintains mitochondrial membrane integrity for modulating apoptosis and is also important for mitochondrial dynamics, oxidative phosphorylation, and the maintenance of mitochondrial DNA (mtDNA).88
In contrast to LHON, which typically manifests in the second and third decades of life, DOA is most often diagnosed at latency age (7–10 years old) and presents as slowly progressive and symmetric loss of vision that stops progressing at about age 20 years old. DOA patients are frequently asymptomatic in early disease stages, and children may not always complain of symptoms. Consequently, diagnostic work-up commonly follows incidental visual field findings, pertinent family history, or optic atrophy on funduscopic examination.89 DOA pathophysiology has been suggested to involve a neurodegenerative etiology. OCT in DOA characteristically shows significant reduction of the peripapillary RNFL thickness in all quadrants, although most pronounced in the temporal and inferotemporal quadrants.88,90,91 Vascular pathology in DOA had not previously been reported by conventional FA. Using OCTA, Balducci and colleagues found that the temporal networks of the peripapillary and optic nerve head microvasculature were reduced in DOA patients, which is consistent with the preferential involvement of the PMB that similarly is a hallmark feature in LHON.92,93 Intriguingly, Balducci and colleagues also showed that radial peripapillary capillary vessel density strongly correlated with both functional and structural parameters including best-corrected visual acuity, visual field testing, and RNFL thickness. These findings suggest that perfusion indices may potentially be useful for staging and monitoring the natural history of DOA.92
Further studies conducted by Martins and colleagues evaluated the macular microvascular blood supply and the link between structural and vascular changes in DOA using OCTA.94 Their analysis of the ratio between parafoveal SCP vessel density and macular ganglion cell complex thickness showed more severe relative vascular pathology. Specifically, vascular dysfunction was more pronounced in the macular region, whereas neuronal and vascular dysfunctions were equally prominent in the peripapillary region. This study also found a significant correlation between global circumpapillary vessel density and temporal RNFL thickness in DOA eyes, which further suggests a neurovascular degenerative process in disease pathogenesis.94
WS
WS, also known by the acronym DIDMOAD (diabetes insipidus, diabetes mellitus, optic atrophy, and deafness), is an autosomal recessive, progressive neurodegenerative disease. Patients with WS characteristically present with early onset diabetes mellitus and optic atrophy in the first decade of life, diabetes insipidus and deafness in the second decade, and urinary tract with neurological complications in the third decade.95 WS has been associated with mutations in the WFS1 or CISD2 (WFS2) gene, which likely lead to impaired calcium homeostasis followed by widespread cellular apoptosis. Nevertheless, there remains a limited fund of knowledge of disease pathophysiology.92 Studies have postulated that WS pathophysiology may not be solely restricted to the endoplasmic reticulum, as previously suggested, but may also include a mitochondrial-related etiology. Recent studies have provided evidence for a mitochondrial-associated etiology by demonstrating a striking similarity in the histopathological pattern of optic nerve atrophy between WS and LHON, an established mitochondrial optic neuropathy.96 Al-Till and colleagues97 previously noted mild window defects but otherwise normal fovea in WS individuals using FA. Until recently, however, vascular pathology in WS had not been characterized. Asanad and colleagues98 first described OCTA findings in WS, which showed appreciable vessel dropout in the SCP of the temporal optic nerve head and peripapillary microvasculature (Figure 3). This pattern of vascular attenuation is consistent with the preferential involvement of the small axons comprising the PMB, a hallmark feature associated with well-established mitochondrial optic neuropathies such as LHON.92 The unmyelinated retinal ganglion cell axons of the PMB are long and narrow in caliber, thus exhibiting a high surface area to volume ratio. This anatomical design with high energy demands for axonal transport make the PMB fibers most vulnerable in mitochondrial optic neuropathy.84–86 The temporal involvement in WS was also consistent with the vascular attenuation patterns seen in OCTA and laser speckle flowgraphy (LSFG) studies in DOA.99,100 In addition, OCTA showed remarkable similarities between WS and LHON with respect to peripapillary telangiectatic blood vessels and vascular tortuosity (Figure 3 (b) and (e)), which are pathognomonic findings for LHON.98,101
Future directions
OCTA has served as a transformative tool for mapping vascular perfusion at the structural and qualitative functional levels.17,102,103 In addition to structural indices of the retinal vasculature, retinal blood flow has also been recognized as a potentially valuable biomarker for neurodegenerative optic neuropathies.40,104,105 Various methods of measuring retinal blood flow have been developed including color Doppler imaging, laser speckle imaging, Doppler OCT, and more recently OCTA and its derivatives. These imaging modalities determine retinal blood flow indirectly from surrogates of blood flow, as opposed to absolute measures of retinal blood flow.106–110 Indirect measurements of blood flow may be more prone to artifact, which may decrease the signal-to-noise ratio of blood flow measurements, possibly contributing to disagreement in vascular findings in optic neuropathies. In addition, OCTA is relatively limited by its spatial resolution and imaging speed.111,112 In turn, quantitative assessment of absolute retinal blood flow in the human retina has yet to be elucidated.112,113 Therefore, there is a critical need for an accurate and precise gold standard for quantifying human retinal blood flow to validate these current devices and to establish the use of ocular microvascular blood flow as a robust biomarker for neurodegenerative optic neuropathies.112,114 Direct observation and quantification of absolute retinal blood flow may help improve our understanding of these optic nerve diseases.
Erythrocyte-mediated angiography
Erythrocyte-mediated angiography (EMA) is a novel imaging technique which directly measures erythrocyte velocity in vivo.114,115 Following cell preparation, using a protocol previously described by Flower and colleagues,116,117 autologous indocyanine green (ICG)-labeled erythrocyte ghosts are injected into the bloodstream, providing a wide-field view of retinal blood flow in the peripapillary and macular regions (Figure 4) and individual erythrocytes are tracked over time to determine retinal blood flow (Figure 5). By measuring vessel diameter using an automated approach, flow rate can further be determined.114,115 A recent study conducted by Tracey and colleagues114 showed EMA as having an intrasession variability of about 4% and intersession variability of approximately 5%. These findings support the premise that EMA may reliably determine retinal blood flow.
Retinal neurovascular units may underlie the regulation of retinal blood flow through neurovascular coupling (neuron-associated changes in vascular flow). Specifically, the metabolic demands of local retinal tissue are coupled with the corresponding blood supply through spontaneous rhythmic changes in vessel tonicity, also known as vasomotion. Impaired neurovascular coupling, manifesting as impaired vasomotion, reduces circulatory efficiency and may play a role in early glaucoma pathogenesis and AD.117–119 The early detection of vasomotion impairment by EMA may not only enhance our understanding of retinal blood flow dysregulation, but also may be useful as a complementary technology to OCTA. Taken together, these synergistic imaging modalities may provide new insights into the vascular pathology associated with optic neuropathies, providing more sensitive as well as objective biomarkers for predicting capillary structural changes and diagnosing disease.
Conclusions and final remarks
Recent applications of OCTA have provided valuable new insights into the pathogenesis of diseases of the optic nerve. These findings have introduced a new era of biomarkers that allows for better structure/function understanding in neuro-ophthalmology. OCTA, and the creative platforms building upon it, may together provide a foundation for evaluating the efficacy of purported therapies for neuro-ophthalmic diseases, allowing for early interventions and ultimately monitoring of disease.
Footnotes
Conflict of interest statement: The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding: The authors received no financial support for the research, authorship, and/or publication of this article.
ORCID iD: Samuel Asanad https://orcid.org/0000-0002-7556-0155
Contributor Information
Samuel Asanad, Department of Ophthalmology and Visual Sciences, University of Maryland Eye Associates, University of Maryland Medical Center and University of Maryland School of Medicine, 419 W. Redwood St., Baltimore, MD 21201, USA.
Isa Mohammed, Department of Ophthalmology and Visual Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Alfredo A. Sadun, Doheny Eye Center, Los Angeles, CA, USA; Department of Ophthalmology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
Osamah J. Saeedi, Department of Ophthalmology and Visual Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
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