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Recent Advances in Visual Dysfunction and Ocular Biomarkers in Neurological Disorders

Authors Cheng J, Paracha SS, Agrawal S , Wu Z, Sung CH 

Received 8 January 2025

Accepted for publication 26 April 2025

Published 14 June 2025 Volume 2025:17 Pages 49—67

DOI https://doi.org/10.2147/EB.S516393

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Rustum Karanjia



Jamie Cheng,1 Saba S Paracha,1 Saumya Agrawal,2 Zhenquan Wu,2 Ching-Hwa Sung2,3

1The Warren Alpert Medical School of Brown University, Providence, RI, USA; 2Department of Ophthalmology, Margaret M. Dyson Vision Research Institute, Weill Cornell Medicine, New York, NY, USA; 3Department of Cell and Developmental Biology, Weill Cornell Medicine, New York, NY, USA

Correspondence: Ching-Hwa Sung, Department of Ophthalmology, Margaret M. Dyson Vision Research Institute, Weill Cornell Medicine, New York, NY, USA, Email [email protected]

Abstract: The visual system is an integral part of the central nervous system, and visual symptoms often serve as an early manifestation of underlying neurological pathologies. This review synthesizes recent findings on visual dysfunction in various neurodevelopmental and neurodegenerative diseases. These reports emphasize that ophthalmological symptoms are increasingly recognized as part of a broader spectrum of neurological conditions, enhancing their clinical relevance for differential diagnosis and symptom management. Non-invasive, high-resolution ocular imaging techniques can identify retinal pathologies at the subcellular level. Additionally, the non-invasive visual functional assay, electroretinography, can further corroborate findings of retinal pathology. Distinct retinal changes are detectable in the early stages of progressive neurodegenerative diseases, such as Parkinson’s disease, and are strongly correlated with cognitive decline in conditions like Huntington’s disease, Alzheimer’s disease, and Joubert syndrome. These findings highlight the clinical potential of retinal imaging for risk assessment, diagnosis, and monitoring the progression of diseases with insidious onset. Furthermore, this review emphasizes the retina’s accessibility as a key component in investigating the underlying pathophysiology of neurological conditions. Additional clinical and basic science research is needed to better understand the distinct and potentially interconnected contributions of the brain and retina to specific visual symptoms. Investigating suitable preclinical mouse models will be vital for developing and refining novel ocular diagnostic markers, which are important for symptom management and the advancement of therapeutic strategies.

Keywords: visual symptom, retinal pathology, non-invasive ocular diagnosis, Alzheimer’s, Parkinson’s

Introduction

The visual system, which includes the retina, visual pathway, visual cortex, and visual-associated cortex, is a crucial part of the central nervous system (CNS).1 Visual dysfunctions are increasingly identified as early indicators of neurological diseases, often preceding or occurring alongside neurological symptoms with insidious onset.2 The retina is the only part of the CNS that can be imaged using non-invasive techniques with (sub)cellular resolution.2 These tools are invaluable for assessing not only primary eye diseases but also visual impairments in a wide range of neurological disorders. Ocular diagnostic tests include fundoscopy, which captures en-face images of the retina; Optical Coherence Tomography (OCT), which provides cross-sectional images to measure structural changes and retinal thickness; Optical Coherence Tomography Angiography (OCTA), which visualizes retinal and choroidal vessels and their blood flow; Electroretinogram (ERG), which measures the retina’s electrical responses to light; and Visual Evoked Potentials (VEP), which assess electrical activity in the visual cortex in response to stimuli.3 Advances in eye-tracking technology enable high-resolution measurement of eye movements. Eye movement tests, such as Anti-saccade, Visually Guided Saccade (VGS), and Memory Guided Saccade (MGS), evaluate brain function and visual pathways, assessing cognitive functions, responses to stimuli, and memory-related visual processing.4

Although many publications cover the widely recognized ocular manifestations in systemic neurological diseases5 or have described recent findings,6,7 this review is the first to critically synthesize recent findings, evidence, and peer-reviewed literature published in 2023 focusing on visual dysfunction across various neurodevelopmental and neurodegenerative diseases. It underscores the increasing recognition of ophthalmological techniques as vital tools for detecting CNS dysfunction. Additionally, the review highlights the need for further research into the underlying mechanisms of both visual and neurological pathologies, as well as their molecular interconnections. With the rapid advancement of non-invasive ocular diagnostic tools and the multimodal imaging data integration by Artificial Intelligence (AI),8–10 there is significant potential for early diagnosis, monitoring disease progression, improving patient care, and optimizing therapeutic outcomes. These innovations are set to play a key role in the future direction of neurological medicine.

Methods

To investigate recent findings on visual impairments in primary neurological disorders, we performed a systematic review of PubMed. We filtered results for papers published in 2023 that met specific eligibility criteria.

The inclusion criteria required that papers focus on a diagnosed neurological or neurodegenerative disease in humans with ophthalmological effects. These effects had to be presented as symptomatic manifestations and/or observed through non-invasive diagnostic techniques examining posterior eye conditions, including Anti-saccade, VGS, MGS, magnetic resonance imaging (MRI), fundoscopy, OCT, OCTA, ERG, VEP, or ocular ultrasound. Eligible studies needed to report either observable visual symptoms or measurable optic changes as a consequence of the primary neurological condition (Table 1). We included papers that presented original research or case reports.

Table 1 Eligibility Inclusion Criteria According to the PICOTS Framework

Papers were excluded if they used animal models or reported ophthalmological effects unrelated to neurological pathophysiology, including but not limited to metabolic, infectious, gastrointestinal, vascular, or endocrine causes. We excluded any studies on primary ophthalmological diseases, such as retinitis pigmentosa (RP), macular degeneration, or microvascular eye diseases. Studies related to anterior eye conditions, visual memory, rapid eye movement disorders, emotional perception, visual-motor integration, and circadian rhythm disturbances were also excluded, as these do not represent physical symptoms or are not diagnosed with the imaging methods we considered. Additionally, conference abstracts, literature reviews, and meta-analyses were excluded.

The search was conducted in PubMed using the following algorithm:

((neurodegenerative OR neurological) disease) AND ((visual OR vision OR optic OR ocular) AND (dysfunction OR impairment))

After applying a filter for papers published in 2023, the search returned 703 articles. Citations were imported into Covidence for title and abstract screening. Two reviewers independently screened the articles for eligibility, using a standardized approach to resolve differences by consensus. Papers were excluded if they did not include a primary neurological disorder or lacked a visual symptom. After title and abstract screening, 164 papers remained for full-text review. A total of 53 papers were included in the final extraction, with no visual manifestations as the primary reason for being excluded. PRISMA flowchart shows final results (Figure 1).11 The findings from all relevant studies are summarized and discussed in this review.

Figure 1 PRISMA flowchart for the systematic review.

Results

A total of 53 studies reviewing 32 distinct diseases were categorized into two major groups: 13 neurodevelopmental (Table 2) and 19 neurodegenerative diseases (Table 3) although some neurodevelopmental disorders exhibit neurodegenerative features. Visual symptoms, along with occasional hearing loss, are associated with several common clinical manifestations including seizures, ataxia, and deficits in motor and cognitive function. Several neurodevelopmental diseases are also characterized by microcephaly, macrocephaly, developmental delay, and additional non-neural manifestations. Most neurological diseases involve genetic factors, either due to specific genetic mutations or genetic susceptibility. Aging is the most prominent risk factor for the development of complex neurodegenerative diseases.

Table 2 Tabular Overview of Current (2023) Research on the Visual Manifestations of Neurodevelopmental Diseases

Table 3 Tabular Overview of Current (2023) Research on the Visual Manifestations of Neurodegenerative Diseases

Neurodevelopmental Disorder

ATP1A3-Related Disorders

ATP1A3-related disorders refer to a group of neurological conditions caused by autosomal dominant mutations in the ATP1A3 gene and are characterized by a range of symptoms, including hemiplegia, cerebellar ataxia, seizures, and early-onset dystonia-parkinsonism.65 A retrospective cohort study of 11 pediatric patients with this disorder reported that one patient (9%) developed severe bilateral optic atrophy after the onset of other neurological symptoms, and the condition persisted without recovery.12

Biotinidase Deficiency

Biotinidase deficiency is a metabolic disorder caused by autosomal recessive mutations in the BTD gene, leading to low levels of free biotin.66 It is characterized by symptoms such as seizures, hypotonia, hearing loss, and vision loss.66 In a retrospective case series of 14 patients with biotinidase deficiency, one of seven (14%) patients under 3 months of age; three out of four (75%) patients between aged 5–14 years; and one out of three (33%) patients aged 18–24 years experienced vision loss. MRI imaging revealed optic chiasm involvement in four of these 14 patients (29%).13 Early diagnosis of biotinidase deficiency is crucial, as many of its symptoms are reversible with biotin supplementation when treated early, whereas delayed treatment can result in permanent optic atrophy.

Boucher-Neuhauser Syndrome (BNHS)

BNHS, caused by autosomal recessive mutations in the PNPLA6 gene, is characterized by early-onset chorioretinal dystrophy, cerebellar ataxia, and hypogonadotropic hypogonadism.67 A recent case report describes a patient with a novel pathogenic mutation in the HK1 gene.14 Interestingly, this patient, initially diagnosed with rod-cone dystrophy, became legally blind by age 23 and later developed cerebellar atrophy and mild parkinsonism, features commonly seen in BNHS.

Canavan Disease (CD)

CD is a genetically inherited leukodystrophy caused by autosomal recessive mutations in the ASPA gene, leading to the accumulation of N-acetylaspartate due to a deficiency in the aspartoacylase enzyme.68 Patients with CD typically present with macrocephaly, hypotonia, and vision loss.68 A case report describes a 14-month-old CD patient, who presented with intractable seizures and hypotonia and was confirmed to be blind based on VEP exam.15

Developmental and Epileptic Encephalopathy (DEE)

Over 90 genes have been identified as potential causes of DEE.16 In a cohort study involving 17 individuals with DEE, linked to TMEM63B gene variants, 11 patients (65%) exhibited early-onset nystagmus and cortical visual impairments concurrently with the onset of epilepsy within the first year of life.16

Genetic Forms of Epilepsy

Novel pathological variants in the CARS and ARSA genes were identified in five consanguineous Pakistani families, all of whom presented with differential visual manifestations.17 Among the four tested patients, two (50%) had nystagmus—one carrying an ARSA mutation and the other carrying a CARS2 mutation. Additionally, one patient with the ARSA mutation also exhibited optic atrophy.17

GNAO-1 Related Encephalopathies

GNAO1-Related Encephalopathies are caused by autosomal dominant mutations in the GNAO1 gene.18 These conditions are characterized by epilepsy, movement disorders, and impaired cognitive function. A study presents the first visual function assessment of young children with GNAO1 deficiency, made possible by using an adapted protocol for this age group with severe epileptic and movement anomalies.18 The study found that all patients (7/7) aged 2–8 years exhibited difficulties tracking complex actions. Additionally, none of the patients had stereopsis, and they all showed reduced contrast sensitivity and visual acuity. Nearly all patients (5/6) also had a reduced visual field. These findings underscore the importance of considering visual impairments in young children with GNAO1-related encephalopathies for appropriate management strategies.

Hypomyelination with Atrophy of Basal Ganglia and Cerebellum (H-ABC)

H-ABC is characterized by neurodevelopmental delays and deficits in motor, speech, and sensory functions, caused by mutations in the TUBB4A and UFM1 genes.19 Nine children carrying UFM1 mutations exhibited impaired vision, including nystagmus and absent visual fixation or pursuit, starting at birth or within the first few months.19

Idiopathic Intracranial Hypertension (IIH)

Patients with IIH often experience impaired vision, headaches, and tinnitus due to elevated intracranial pressure (ICP), typically resulting from dysregulated cerebrospinal fluid (CSF) accumulation.69 A definitive diagnosis of IIH is made by measuring ICP via lumbar puncture. A study involving 25 IIH patients demonstrated that lumbar puncture concomitantly reduced CSF volume, ICP, and optic nerve sheath diameter (ONSD), as measured by optic ultrasonography. This finding suggests that ONSD measurement could be a promising non-invasive tool for both diagnosing and monitoring IIH.20

Joubert Syndrome

Joubert syndrome, a type of ciliopathy caused by mutations in over 40 genes, is clinically diagnosed by the molar tooth sign on MRI.70 Although the specific manifestations vary depending on the gene involved, visual impairments are often among the earliest symptoms, preceding the onset of cerebellar symptoms such as ataxia, dysmetria, and developmental delay.70 A retrospective cross-sectional study involving 59 children with Joubert syndrome, carrying mutations in the AHI1, CC2D2A, CEP290, CPLANE1, or RPGRIP1L genes, is among the first to investigate retinal pathology beyond the known oculomotor impairments associated with cerebellar dysfunction in this disease. Half of the children exhibited signs of retinal dystrophy, such as reduced ERG responses and altered VEP, even in the absence of visible funduscopic abnormalities. Notably, a significant association between retinal dystrophy and intellectual disability was found in these patients (p=0.047).21

KIF1A-Related Disorders

KIF1A-related disorders, caused by mutations in the KIF1A gene, refer to a group of heterogeneous disorders with variable impairments in motor, cognitive, and visual functions.71 A report identified three novel pathogenic KIF1A variants in 5 patients who exhibited non-uniform visual manifestations, including an 11-year-old male with strabismus, astigmatism, and hypermetropia; a 6-year-old female with +4.0 D bilateral hyperopia by age 2; a 3-year-old male with cortical visual disturbance; and a 2-year-7-month-old male with optic nerve atrophy.22

Mitochondrial Disorders

Mitochondrial disorders, caused by numerous variants that alter mitochondrial DNA or nuclear DNA affecting mitochondrial function, lead to a range of symptoms depending on the specific disorder.72 A retrospective study of 150 Italian patients with mitochondrial disorders found that ocular motility abnormalities were present in patients with Leigh syndrome (51.8%) and in those with Progressive External Ophthalmoplegia plus (7.3%). This high rate of ocular involvement in these two diseases has not been previously reported.23 In a case report, a 9-year-old Leigh syndrome patient, who first presented with reduced vision at age 5, was found to subsequently develop severe bilateral visual acuity reduction, color vision deficiency, and bilateral optic atrophy.24 Another case study reported a 33-year-old man diagnosed with mitochondrial neurogastrointestinal encephalopathy, based on clinical presentations and the presence of a pathogenic variant in the TYMP gene. In addition to the optic neuropathy typically associated with MNGIE, this patient also exhibited inner retinal ganglion cell complex thinning and an electronegative ERG. This study is the first to link inner retinal anatomical and functional impairment to MNGIE.25

Shashi-Pena Syndrome (SHAPNS)

SHAPNS, caused by autosomal dominant mutations of the ASXL2 gene, is characterized by distinct facial features with additional neurological disorders including macrocephaly, seizure, and hypotonia.73 A case report detailed the molecular and clinical diagnoses of a 21-day-old patient, carrying ASXL2 gene truncation, manifested previously undescribed bilateral retinal paving-stone-like white lesions under fundoscopy.26

Neurodegenerative Disease

Alzheimer’s Disease (AD)

AD is the most common progressive neurodegenerative disorder and the leading cause of dementia.74 The histopathological hallmarks of AD—amyloid beta (Aβ) aggregates and hyperphosphorylated Tau (pTau) tangles—have been used as CSF biomarkers, while amyloid plaques can also be visualized through positron emission tomography imaging.74 However, these tests are invasive and costly. Retinal functional and structural changes in AD have gained increasing attention as potential non-invasive, more accessible and scalable approach for diagnosing high-risk AD individuals. A study of 75 participants (28 cognitively normal, 26 with subjective cognitive decline, 17 with mild cognitive impairment (MCI), and 4 with AD) found that reduced retinal nerve fiber layer (RNFL) thickness was linked to smaller volumes in several brain regions (eg, hippocampus, amygdala, temporal and occipital lobes) and worse cognitive scores.30 In a study examining the preclinical stage of AD, ophthalmological examinations of 144 healthy individuals—105 with a family history of AD and 39 without, some carrying and some not carrying the high-risk APOE ɛ4 allele—found that the high-risk group had increased visual acuity but showed a trend toward thinning of the inner retina. The authors suggest that higher visual acuity in preclinical AD may be linked to Aβ deposition, which induces hyperexcitability of retinal cells. As the disease progresses, visual acuity is expected to decline, as observed in other studies.27

A study of 43 AD patients, 62 individuals with MCI, and 34 healthy controls found that both AD and MCI groups had reduced vessel density and blood perfusion density in retinal superficial capillary plexus (p<0.05). This reduction was significantly correlated with lower scores in cognitive, visuospatial, and executive functions (p<0.05), but not with CSF biomarkers such as Aβ and p-Tau.28 Another study of 144 MCI patients categorized by CSF biomarkers exhibited unchanged macular vascular density.29

Amyotrophic Lateral Sclerosis (ALS)

ALS, primarily recognized as a motor neuron disease, can also affect non-motor regions of the brain that regulate oculomotor function.75 A study involving 18 ALS patients and 13 controls found that two ALS subtypes—spinal variant and bulbar variant—exhibited distinct saccadic profiles. This study not only supports the diagnostic value of eye movement analysis in ALS but also indicates the involvement of different neural networks associated with each ALS subtype.31 Additionally, a prospective observational study of 53 patients with various types of motor neuron diseases found that 64.2% had ocular dysfunction, including square-wave jerks in 37.7% and saccadic pursuit impairments in 30.2%. These ocular abnormalities were significantly associated with the disease stage.32

Charcot-Marie-Tooth Disease (CMT)

CMT disease encompasses a group of relatively common neurological disorders caused by mutations in at least 100 different genes, typically affecting motor neurons, sensory neurons, and vision.33 A recent study identified a new autosomal recessive variant of the MYO9B gene in a cohort of CMT type 2 patients with optic atrophy. This discovery prompted further investigation, leading to the identification of compound heterozygous MYO9B mutations in patients with isolated optic atrophy.33

Creutzfeldt-Jakob Disease (CJD)

CJD is a fatal prion disease associated with rapidly progressive dementia and often presents with visual symptoms.76 A case series of five Tasmania CJD patients found four with visual hallucinations, one with ocular dysmetria and saccadic pursuits.34 In another case, a 72-year-old woman with Heidenhain variant CJD progressed from photophobia and blurred vision to severe visual deterioration.35 This patient also experienced left homonymous hemianopia and restricted downward movement of the left eye, while the pupillary light reflex was intact with a normal fundoscopy.35 The Heidenhain variant is notably associated with early visual symptoms, including blurred vision, as seen in these cases.

Dementia with Lewy Bodies (DLB)

DLB, the second most common neurodegenerative dementia associated with parkinsonism, is a type of synucleinopathy characterized by phosphorylated α-synuclein aggregates and Lewy bodies (LBs) as pathological hallmarks.77 Among 268 DLB patients stratified by symptom onset, visual hallucinations were the most common in the mixed-onset group (p=0.025).36 Another study found visual hallucinations in 11% of prodromal DLB patients, significantly higher than in AD (OR 11.98, p<0.0001).38 Additionally, increased free water fraction in the pedunculopontine nucleus-thalamus pathway was associated with hallucinations in DLB patients, although the association was not reproducible in a second cohort (p=0.017/p=0.18).37 These findings suggest that visual hallucinations in DLB may relate to specific brain pathways.

Essential Tremor (ET)

ET describes a group of very common, cerebellar dysfunction diseases characterized by intention tremor, mild gait ataxia, and eye movement disorder.78 A cross-sectional study of 62 ET patients and 66 controls found 46.7% of ET patients (vs 20% in controls) had significant eye movement issues, including prolonged saccadic latency (38.7%, p=0.033), altered smooth pursuit (38.7%, p=0.033), anti-saccadic errors (16%, p=0.034), and square-wave jerks (11.5%, p=0.024).39 The study also identified a distinctive ET phenotype with anti-saccadic errors and subcortical cognitive decline, even without overt cerebellar signs.

Fragile-X Associated Tremor/Ataxia Syndrome (FXTAS)

FXTAS, characterized by action tremors, gait ataxia, and cognitive impairments, primarily affects older adult carriers of the FMR1 gene premutation, which consists of 55–200 CGG repeats.79 Due to its X-linked inheritance pattern, most studies have focused on males. A study of oculomotor behavior in female-dominant subjects (16 out of 21 carriers, 21 out of 32 controls) found that carriers exhibited prolonged antisaccade latencies compared to controls. A strong correlation between reduced saccade accuracy and increased antisaccade latency was observed, which was associated with neuromotor impairments in carriers, both when considering both genders and females separately. These findings suggest that oculomotor measures could serve as potential biomarkers for FXTAS in both genders.40

Gaucher’s Disease (GD)

GD, one of the most common lysosomal storage disorders, is caused by mutations in the GBA1 gene, leading to glucocerebrosidase deficiency and the accumulation of glucosylceramide.80 GD typically manifests with early-onset seizures and progressive declines in motor and cognitive functions. A study involving 45 Indian pediatric patients with GD (aged 2.5–15 years) found that cognitive impairment was the most common feature (31/45, 86.7%), followed by gaze palsy (27/45). Additionally, 12 out of 32 testers exhibited abnormal saccades.42 In another study of 22 GD patients, abnormal saccadic movements were found in all GD3 subtype patients (3/3, 100%) and in one GD1 subtype patient (1/19, 5%).41 A significantly higher rate of saccadic impairment was observed in homozygous patients compared to heterozygous patients (3/3, 100% vs 0/19, 0%; p<0.001). These findings support the notion that impaired saccades are a hallmark of neuronopathic GD and may be useful for early diagnosis of the disease.

Huntington’s Disease (HD)

HD, caused by CAG repeat expansions in the huntingtin gene, is an autosomal dominant neurodegenerative disorder that primarily affects the striatum and leads to motor and cognitive impairments.81 A study comparing 36 hD patients with 36 controls found that the manifested patients had significantly thinner RNFL near the optic nerve head in the temple region (p=0.011).43 This study also showed that the macular inner nuclear layer thickness was consistently and significantly associated with cognitive performance in manifest HD patients, suggesting this retinal pathology is a potential biomarker for monitoring cognitive function in HD. Additionally, this report reveals that the external limiting membrane–Bruch’s membrane complex, which includes the photoreceptor inner and outer segments and the retinal pigment epithelium, is also significantly thinner in HD patients. This is the first study to evaluate the thickness of the outermost retinal layer in HD patients, and the results align with prior observations of outer retinal degeneration in various preclinical HD mouse models.

Lafora Disease

Lafora disease, caused by autosomal recessive mutations in the EPM2A and EPM2B genes, is characterized by early-onset seizures, ataxia, and visual impairment, followed by a rapid decline in cognitive and motor function.82 The pathological hallmark of Lafora disease is the deposition of polyglucosan bodies (Lafora bodies). A case report and genetic study described two affected siblings with a novel EPM2A mutation. Both presented with poor visual acuity at the time of diagnosis at age 15, lost all light perception within 4 years, and died at age 24.44

Leukodystrophies

Leukodystrophies, a group of white matter disorders caused by mutations in over 60 genes, result in myelin damage and are characterized by declines in motor, speech, visual, and cognitive functions.83 A whole-exome sequencing study of 16 patients with leukodystrophy identified 8 potentially pathogenic variants in the AARS2, ABCD1, CSF1R, and GALC genes, three of which were novel. One patient carrying a CSF1R variant presented with reduced visual acuity and optic nerve atrophy.47 The authors proposed that axonal degeneration of retinal ganglion cells, probably due to dysregulated myelination of the optic nerve, represents the primary ocular pathology, independent of white matter abnormalities.

A retrospective study of 13 pediatric patients with white matter disorders found that four (30.8%) with ABCD1 mutations showed visual impairment, often associated with occipital lobe involvement on MRI.46 In a cohort of 18 patients with adult-onset vanishing white matter leukodystrophy, 6 out of 7 tested patients exhibited an attenuated ERG b-wave with a normal a-wave. One patient presented with visual disturbances, and two others had thinning of the ganglion cell-inner plexiform layer in the macula, as well as RNFL thinning in both the macula and temporal sector.45 The authors concluded that the common retinal alterations observed in adult-onset leukodystrophy warrant further investigation as potential surrogate biomarkers of disease progression.

Neuronal Ceroid Lipofuscinoses (NCL)

NCL, also known as Batten disease, is a type of lysosomal storage disorder with 14 clinical subtypes (CLN1–CLN14).84 Common features of NCL include early-onset seizures, vision loss, and subsequent motor and cognitive function decline.84 The pathological hallmark of NCL is the accumulation of lipofuscin due to a lysosomal waste clearance dysfunction. Studies showed four49 and ten48 CLN3 mutation-carrying children exhibited abnormal ERG, retinal degeneration, and optic atrophy as the initial symptoms, with onset occurring between 4 and 9 years of age. Another study of five CLN3 patients, with a median age of 6.2 years, revealed electronegative ERG, disrupted ellipsoid zone on OCT, bull’s-eye maculopathy on fundoscopy, and a hyperautofluorescent ring surrounding the central hypoautofluorescent area on fundus autofluorescence imaging.51 A separate study involving 37 NCL patients, stratified by CLN subtype, found that vision loss was the most common symptom, reported in 21 out of 24 (87.5%) patients.50

Multiple Sclerosis (MS)

MS is an autoimmune disease characterized by demyelination of several types of nerve fibers, including the optic nerves, causing optic neuritis.85 A case report described a 29-year-old patient with MS, who had previously been diagnosed with Wall-Eyed Bilateral Internuclear Ophthalmoplegia (WEBINO). The patient presented with binocular diplopia, alternating exotropia, bilateral adduction deficits, nystagmus, and impaired convergence.54 Another case report detailed a 26-year-old man who presented with rapidly progressive vision impairment in one eye, with horizontal nystagmus developing 1–2 years after MS diagnosis.52 A UK study of 5,478 MS patients found 80% reported visual issues, which were more common with longer disease duration.53 A follow-up showed that relapsing-remitting MS patients were more sensitive to visual changes, highlighting the need for early ophthalmologic assessment.

Neuronal Intranuclear Inclusion Disease (NIID)

NIID, caused by expanded GGC repeats in the NOTCH2NLC gene, is generally characterized by motor and cognitive symptoms.86 The neuropathological hallmark of NIID is the deposition of ubiquitin-containing nuclear inclusions. In postmortem tissue from four genetically confirmed NIID patients, similar inclusions were observed in several brain regions as well as throughout the retinas.55 Among these four patients, two (cases 1 and 2) had significantly reduced retinal thickness and ERG abnormalities without any fundus anomalies, while the other two (cases 3 and 4) exhibited both fundus and ERG anomalies, and severe photoreceptor degeneration. Case 3 had been diagnosed with RP 15 years prior to the diagnosis of NIID. This report, consistent with previous studies, highlights that visual dysfunction can be an early sign of NIID, despite clinical heterogeneity. It also supports, for the first time, the pathological contribution of NOTCH2NLC GGC expansion-caused intranuclear inclusions in retinal disorders.

Parkinson’s Disease (PD)

PD, a type of synucleopathy, is the most common neurodegenerative movement disorder, characterized by dopaminergic neuronal loss that leads to motor symptoms.87 Several nonmotor symptoms including visual impairment (eg, visual hallucinations, impaired visual acuity, reduced spatial contrast sensitivity, depth perception issues, and color vision deficits) are highly prevalent in the early stages of the disease.88 A hierarchical cluster analysis of 37 controls and 62 patients with various forms of synucleopathies (ie, DLB, PD, carriers with E46K mutation of SNCA gene) revealed that the mild subtype presented only nonmotor symptoms such as altered visual acuity, while patients in the severe subtype exhibited both marked motor and visual impairments.58 These findings highlight the potential value of nonmotor symptoms, such as impaired visual acuity, in subtyping different forms of synucleopathies and monitoring their associated brain pathophysiology. Comprehensive clinical and imaging analyses of 47 PD patients (12 with and 35 without visual hallucination) plus 27 controls found patients with visual hallucinations had significantly lower visual contrast sensitivity and thicker retinal photoreceptor layers on OCT compared to those without hallucinations and to controls. These observations warrant further studies validating that the visual system is a pathological basis and biomarker for visual hallucinations in PD.56

The awareness of visual dysfunction of PD is often overshadowed by motor symptoms and the effects of aging. A cross-sectional electronic survey assessed the prevalence of awareness regarding PD-associated visual dysfunction among 92 PD patients. Findings revealed that approximately half of the participants who recognized visual issues had a diagnosed eye condition, with cataracts being the most common, followed by intraocular disorders, ocular motor dysfunctions, and optic nerve disorders (p<0.05). Notably, the analysis also showed that ophthalmologic symptoms in PD are more closely associated with the disease itself rather than age-related eye conditions.57

Pontocerebellar Hypoplasia Type 8 (PCH8)

PCH8, caused by autosomal recessive mutations in the CHMP1A gene, is characterized by both motor and cognitive impairment.59 Severe visual symptoms, present from infancy, are also a hallmark of this rare condition. In a case study of a 6-year-old patient, who is the eighth known case of PCH8 worldwide, exhibited severe developmental delay, an inability to track visual stimuli, and was unable to fixate on small objects until the age of two.59

Progressive Supranuclear Palsy (PSP)

PSP, a neurological disorder affecting movement, balance, cognition, and eye control, is characterized by the predominant accumulation of tau tangle at the brainstem, subthalamic nucleus, and basal ganglia.60 A retrospective study of 26 PSP patients and 26 PD patients showed that all PSP patients failed to suppress caloric nystagmus (p=0.002), indicating poor visual fixation suppression, a phenotype that was not presented by PD patients.60 A case report described a 63-year-old woman with gait disturbance who initially presented with “saccadic ping-pong gaze” and square-wave jerks during examination, particularly under dim light or with eyes closed. She was diagnosed with PSP 1.5 years later.61

Spinocerebellar Ataxia (SCA)

SCA is a group of autosomal dominant neurodegenerative disorders characterized by cerebellar atrophy, motor dysfunction, and visual impairment in some forms of SCA.89 A case report described a Japanese patient with SCA7 who presented with cerebellar ataxia at age 34, followed by progressive vision loss at age 42, macular degeneration, and slow eye movement at age 51. Postmortem tissue examination of this patient revealed widespread neuronal degeneration and polyQ-positive inclusions in multiple neural and visual pathways.63 A study comparing VGS and MGS task performance in 20 patients (12 with SCA6 and 8 with SCA31) and 19 controls revealed that patients had increased saccade latency and more variable amplitude (p<0.01) in the VGS task, but not in the MGS task, suggesting the more prominent involvement of cerebellar dysfunction than previously recognized. SCA disease progression was also found to associate with altered saccade velocity, underscoring the potential value of saccade velocity analysis as a tool for investigating cerebellar pathophysiology during SCA progression.62

Wolfram Syndrome (WS)

WS, caused by the WFS1 gene mutation, is a multisystemic genetic disorder that presents both non-neurological and neurological symptoms including early-onset optic atrophy followed by ataxia, cognitive decline, dementia, and psychiatric issues.90 WS patients often became blind by adolescence. A case report discussed a 23-year-old with WS, who presented at the ER with repeated loss of consciousness and had previously been diagnosed with optic atrophy when the patient was 8 years old.64

Discussion

Visual Dysfunction in Neurological Disorders

This review highlights recent advancements in recognizing the critical role of visual symptoms as early indicators of various neurological disorders, including some that were previously unrecognized. For example, a study found that ALS, traditionally thought to spare oculomotor functions, actually presented with oculomotor dysfunctions, such as impaired volitional saccades.31,32 Children with GNAO1-related encephalopathies exhibit severe ocular pathologies, which were identified through specialized protocols designed for individuals with severe epileptic and movement disorders.18 Another example is the high prevalence of ocular pathologies in Leigh syndrome.23

Atypical initial presentations—such as WEBINO in MS,54 impaired visual fixation suppression in PSP,60 and paving-stone-like white fundus lesions in SHAPNS26 — demonstrate how visual symptoms and retinal pathologies can prompt more comprehensive neurological evaluations and potentially enable earlier diagnosis. A report describing two distinct subtypes of ALS identified differential anti-saccadic profiles,31 underscoring that visual manifestations may also provide valuable insights for differential diagnosis when considered alongside molecular diagnostics, medical history, and neurological assessments.

Ocular Markers in Neurological Disorders

Abnormal eye movements and optic atrophy, resulting from impaired visual pathways and brain cortices, are visual symptoms in neurological disorders. Altered retinal structure and function, however, are increasingly observed in various neurodegenerative diseases. Diminished ERG signals and retinal degeneration, leading to retinal thinning, have been documented in patients with Joubert Syndrome,21 leukodystrophies,45 MNGIE,25 NCL3,48,49 and NIID.55 These findings underscore the diagnostic value of retinal pathology in these conditions. They also emphasize retinal pathology is involved in at least some aspects of visual dysfunction of various neurological diseases. In this context, it is to noteworthy that rod-cone dystrophy (ie, RP) has been reported to occur years before the onset of neurological symptoms in patients with BNHS14 and NIND.55 Additionally, the HK1 gene, recently linked to BNHS,14 is also associated with RP.91

The current clinical diagnosis of progressive neurodegenerative diseases, such as AD and PD, relies on symptoms that manifest only after significant neuronal loss, often occurring years after the initial neuronal damage.92 This highlights the critical need for biomarkers that can facilitate early detection of neuronal functional decline and identify therapeutic windows before the clinical manifestation of the disease. A study describing altered retinal structures and visual acuity in PD patients without cognitive deficits suggests the retina’s involvement in early PD.56 Additionally, growing evidence supports associations between reduced retinal vessel density in the superficial capillary plexus and patients with AD and MCI,28 as well as between RNFL thinning and cognitive decline in AD.30 A strong association between RNFL thinning and cognitive decline in HD43 and between retinal dystrophy and intellectual disability in Joubert syndrome21 has also been found. These reports support the need for future research into the mechanistic connection between retinal anatomical changes and cognitive impairment. Collectively, these findings stress the potential of multimodal retinal imaging and functional assessments in identifying novel markers that could be valuable for risk assessment, monitoring disease progression, and gaining insights into specific aspects of neurological symptoms, particularly in disorders with insidious onsets.

Mechanistic Insights of Retinal Dysfunction in Neurological Diseases

The retina offers several distinct advantages for researching CNS pathology, including its relatively simple structure, accessibility to imaging and functional assays for longitudinal monitoring, and potential for targeted therapeutic agent delivery. Retinal dystrophies observed in the early stages of neurodegenerative diseases suggest a common underlying mechanism between retinal and brain pathology. Supporting this, ubiquitin-rich intranuclear inclusions, similar to those found in the brains of patients with NIID, have also been observed in their retinas.55 Additionally, both the retina and brain exhibit similar deposition of lipofuscins in patients with NCL,93–95 β-amyloids in AD,96–101 and LBs in PD.102,103 Mouse models replicating these diseases also exhibited similar pathologies in brains and retinas. For example, studies involving AD transgenic mice have revealed abnormal retinal Aβ deposition.104–106 Fluorescent Aβ plaques, marked by the binding of curcumin (a fluorochrome with high and selective affinity for Aβ), can be visualized in the retinas of both AD mouse models and AD patients using confocal scanning laser ophthalmoscopy (cSLO).97,101 Additionally, hyperspectral imaging could be used to detect changes in the reflected light spectra caused by retinal Aβ deposition in both AD mouse models and human patients.98,107 These advancements highlight the additional potential of ocular imaging for AD diagnosis by detecting the characteristic pathological lesions of Aβ. AI may further enhance the precision and reliability of multiple imaging modalities for AD diagnosis.108,109 Notably, the imaging of tauopathy, which may be more directly relevant to AD pathology,110,111 remains to be fully explored.

CSF diagnosis of α-synuclein has been recent developed for PD diagnosis,112 despite its invasive nature. The high prevalence of early visual symptoms in PD and the presence of LBs in the retinas of PD patients and mouse models113 have sparked interest in the development of ocular imaging for detecting retinal LBs, yet this remains an underexplored area of research. In a novel mouse model Rod∆Vps35 developed by our group, LBs containing endogenous α-synuclein aggregates were found to accumulate in the retina, partially concentrated in activated retinal microglial cells, at the onset of retinal dystrophy.88 Importantly, cSLO sensitively detected these LBs as bright autofluorescent foci in live animals, suggesting their potential as a novel ocular biomarker for the early diagnosis of PD and other synucleinopathies. Validating this approach in human patients is of paramount clinical significance, particularly for identifying an optimal time window for therapeutic interventions and clinical trials. These studies collectively demonstrate that preclinical mouse models of AD and PD are crucial not only for understanding the pathogenesis of these disorders but also for developing novel ocular diagnostic methods.

Limitations

This review has several limitations to consider. The exclusion of studies published before 2023 may have omitted valuable historical data on visual dysfunctions in primary neurological disorders, potentially narrowing the scope of insights. Additionally, variability in study methodologies and sample sizes among the included studies could limit the generalizability of the results, particularly for rare disorders often reported through case studies or small cohorts, which might not represent the broader population affected by these conditions. Furthermore, visual manifestations are rarely specific to a single disease, necessitating comprehensive diagnostic workups to determine their etiology. Case studies, while highlighting atypical presentations, may not generalize to larger populations but serve as crucial reminders of the variability in disease presentation. Atypical cases underscore the diverse clinical manifestations of neurological disorders, emphasizing the need for clinicians to maintain a high index of suspicion when evaluating visual symptoms. The potential effects of drug administration have not been considered.

Gaps and Further Developments

While this review provides a brief overview of the potential connection between visual dysfunction and neurodegenerative diseases, there are differing theories on the mechanisms that contribute to this decline. In the context of visual dysfunction in neurological disorders, different schools of thought focus on whether ocular manifestations merely mirror central neurodegeneration or emerge through distinct pathophysiological mechanisms.114 This debate also extends to the origins of oculomotor abnormalities in conditions traditionally considered to spare ocular pathways, such as ALS, with some studies suggesting cortical involvement while others implicate midbrain or brainstem circuits.115 Additionally, there are controversies around whether the retina and brain share similar pathological changes in the context of AD and inquiries about the need to simultaneously explore retinal and brain structural changes to disentangle correlations between the two.116 Among the fundamental issues, proving causality between retinal and brain pathology remains challenging, despite mounting evidence of correlations between retinal thinning and neurodegenerative disease severity.117,118 Imaging techniques such as OCTA can produce inconsistent results due to motion artifacts and limitations in use among older patients and children,119 and overlapping ocular phenotypes in rare neuro-ophthalmic diseases make differential diagnoses exceedingly complex.120 Current research gaps include a lack of large-scale, longitudinal studies that would validate retinal biomarkers in conditions like PD,121 and insufficient clarity regarding whether early inflammatory or degenerative changes in the retina reflect compensatory adaptations or harmful processes or even drug treatment.122 Looking ahead, advanced imaging modalities and AI-driven analytics show promise for early risk assessment and disease monitoring,123 while new translational animal models could clarify shared molecular pathways and pinpoint optimal therapeutic windows,113 thus fostering the development of novel ocular diagnostic techniques and interventions.

Conclusion

Visual impairments, including ocular-motor, optic nerve, and retinal function deficits, often precede or accompany neurological conditions, emphasizing the need to incorporate visual assessments into clinical practice. Non-invasive ophthalmological examinations are crucial for the high-resolution, high-sensitivity detection of subtle changes in the retina and visual pathways. Advances in imaging technology, the establishment of normative data, and the integration of AI can further enhance the diagnostic value of ocular biomarkers. Longitudinal studies are essential for assessing their prognostic significance. Future research should focus on uncovering the underlying mechanisms of visual dysfunction in neurological conditions. These efforts have the potential to optimize the diagnosis, management, and treatment of both ocular and neurological symptoms across a range of disorders.

Funding

This research has been funded by NIH RO1 EY 032966, EY 029428, Stein Innovation Award from Research To Prevent Blindness, Alcon Research Award, and Betty Neuwirth Lee and Chilly Professor in Stem Cell Research Endowed Chair.

Disclosure

The authors report no conflicts of interest in this work.

References

1. Marchesi N, Fahmideh F, Boschi F, et al. Ocular neurodegenerative diseases: interconnection between retina and cortical areas. Cells. 2021;10(9):2394. doi:10.3390/cells10092394

2. Yap TE, Balendra SI, Almonte MT, Cordeiro MF. Retinal correlates of neurological disorders. Ther Adv Chronic Dis. 2019;10:2040622319882205. doi:10.1177/2040622319882205

3. Pavan-Langston D. Manual of Ocular Diagnosis and Therapy. Lippincott Williams & Wilkins; 2008.

4. Bedell HE, Stevenson SB. Eye movement testing in clinical examination. Vision Res. 2013;90:32–37. doi:10.1016/j.visres.2013.02.001

5. Kasl Z, Poczos P, Herzig R, Jiraskova N, Matuska M, Cesak T. Neurological Disorders. In: Stepanov A, Studnicka J, editors. Ocular Manifestations of Systemic Diseases. Springer International Publishing; 2024:375–446.

6. Chan CKM, Panitha J, Silvia M, et al. Neuro-ophthalmic literature review. Neuro-Ophthalmology. 2013;37(2):86–94. doi:10.3109/01658107.2013.773245

7. Bellows DA, Chan NC, Chen JJ, et al. Neuro-ophthalmic literature review. Neuro-Ophthalmology. 2023;47(5–6):297–308. doi:10.1080/01658107.2023.2271803

8. Gulshan V, Peng L, Coram M, et al. Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. JAMA. 2016;316(22):2402–2410. doi:10.1001/jama.2016.17216

9. Diaz-Pinto A, Colomer A, Naranjo V, Morales S, Xu Y, Frangi AF. Retinal image synthesis and semi-supervised learning for glaucoma assessment. IEEE Transact Med Imaging. 2019;38(9):2211–2218. doi:10.1109/TMI.2019.2903434

10. Dong L, He W, Zhang R, et al. Artificial intelligence for screening of multiple retinal and optic nerve diseases. JAMA Netw Open. 2022;5(5):e229960–e229960. doi:10.1001/jamanetworkopen.2022.9960

11. Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Syst Rev. 2021;10(1):89. doi:10.1186/s13643-021-01626-4

12. Huang D, Song X, Ma J, et al. ATP1A3-related phenotypes in Chinese children: AHC, CAPOS, and RECA. Eur J Pediatr. 2023;182(2):825–836. doi:10.1007/s00431-022-04744-w

13. Biswas A, McNamara C, Gowda VK, et al. Neuroimaging features of biotinidase deficiency. AJNR Am J Neuroradiol. 2023;44(3):328–333. doi:10.3174/ajnr.A7781

14. Peretz RH, Zein WM, Hufnagel RB, et al. A de novo hexokinase 1 (HK1) variant presenting as Boucher-Neuhäuser syndrome. Am J Med Genet A. 2023;191(2):624–629. doi:10.1002/ajmg.a.63045

15. Irilouzadian R, Goudarzi A, Hesami H, Sarmadian R, Biglari HN, Gilani A. An unusual case of a toddler with Canavan disease with frequent intractable seizures: a case report and review of the literature. SAGE Open Med Case Rep. 2023;11:2050313x231160885. doi:10.1177/2050313x231160885

16. Vetro A, Pelorosso C, Balestrini S, et al. Stretch-activated ion channel TMEM63B associates with developmental and epileptic encephalopathies and progressive neurodegeneration. Am J Hum Genet. 2023;110(8):1356–1376. doi:10.1016/j.ajhg.2023.06.008

17. Abdulkareem AA, Zaman Q, Khan H, et al. Whole exome sequencing identified five novel variants in CNTN2, CARS2, ARSA, and CLCN4 leading to epilepsy in consanguineous families. Front Genet. 2023;14:1185065. doi:10.3389/fgene.2023.1185065

18. Gambardella ML, Pede E, Orazi L, et al. Visual function in children with GNAO1-related encephalopathy. Genes. 2023;14(3). doi:10.3390/genes14030544

19. Ivanov I, Pacheva I, Yordanova R, et al. Hypomyelination with atrophy of Basal Ganglia and Cerebellum (HABC) due to UFM1 mutation in Roma patients - severe early encephalopathy with Stridor and severe hearing and visual impairment. A single center experience. CNS Neurol Disord Drug Targets. 2023;22(2):207–214. doi:10.2174/1871527321666220221100704

20. Bozdoğan Z, Şenel E, Özmuk Ö, Karataş H, Kurşun O. Comparison of optic nerve sheath diameters measured by optic ultrasonography Before and after lumbar puncture in idiopathic intracranial hypertension patients. Noro Psikiyatr Ars. 2023;60(2):117–123. doi:10.29399/npa.28074

21. Morelli F, Toni F, Saligari E, et al. Visual function in children with Joubert syndrome. Dev Med Child Neurol. 2024;66(3):379–388. doi:10.1111/dmcn.15732

22. Paprocka J, Jezela-Stanek A, Śmigiel R, et al. Expanding the knowledge of KIF1A-dependent disorders to a group of Polish Patients. Genes. 2023;14(5). doi:10.3390/genes14050972

23. Ardissone A, Ferrera G, Lamperti C, et al. Phenotyping mitochondrial DNA-related diseases in childhood: a cohort study of 150 patients. Eur J Neurol. 2023;30(7):2079–2091. doi:10.1111/ene.15814

24. Howard C, Dev-Borman A, Stokes J, et al. Autonomic instability, arrhythmia and visual impairment in a new presentation of MTFMT-related mitochondrial disease. JIMD Rep. 2023;64(2):150–155. doi:10.1002/jmd2.12355

25. Wang H, Ruan G, Yang S, et al. Ocular manifestations of mitochondrial neurogastrointestinal encephalomyopathy: a case report and literature review. Am J Med Genet A. 2023;191(12):2819–2824. doi:10.1002/ajmg.a.63361

26. Yuan M, Shan Y, Xu F, et al. A newborn with a pathogenic variant in ASXL2 expanding the phenotype of SHAPNS: a case report and literature review. Transl Pediatr. 2023;12(1):86–96. doi:10.21037/tp-22-220

27. López-Cuenca I, Nebreda A, García-Colomo A, et al. Early visual alterations in individuals at-risk of Alzheimer’s disease: a multidisciplinary approach. Alzheimer’s Res Ther. 2023;15(1):19. doi:10.1186/s13195-023-01166-0

28. Ma X, Xie Z, Wang H, et al. A cross-sectional study of retinal vessel changes based on optical coherence tomography angiography in Alzheimer’s disease and mild cognitive impairment. Front Aging Neurosci. 2023;15:1101950. doi:10.3389/fnagi.2023.1101950

29. Marquié M, García-Sánchez A, Alarcón-Martín E, et al. Macular vessel density in the superficial plexus is not associated to cerebrospinal fluid core biomarkers for Alzheimer’s disease in individuals with mild cognitive impairment: the NORFACE cohort. Front Neurosci. 2023;17:1076177. doi:10.3389/fnins.2023.1076177

30. Mathew S, WuDunn D, Mackay DD, et al. Association of brain volume and retinal thickness in the early stages of Alzheimer’s disease. J Alzheimers Dis. 2023;91(2):743–752. doi:10.3233/jad-210533

31. Zaino D, Serchi V, Giannini F, et al. Different saccadic profile in bulbar versus spinal-onset amyotrophic lateral sclerosis. Brain. 2023;146(1):266–277. doi:10.1093/brain/awac050

32. Youn CE, Lu C, Cauchi J, MacGowan D, Morgenstern R, Scelsa S. Oculomotor dysfunction in motor neuron disease. J Neuromuscul Dis. 2023;10(3):405–410. doi:10.3233/jnd-221579

33. Cipriani S, Guerrero-Valero M, Tozza S, et al. Mutations in MYO9B are associated with Charcot-Marie-tooth disease type 2 neuropathies and isolated optic atrophy. Eur J Neurol. 2023;30(2):511–526. doi:10.1111/ene.15601

34. Rajalingam P, de Souza A, Lee-Archer M, Dhakal M. Sporadic Creutzfeldt-Jakob disease in Northern Tasmania. J R Coll Physicians Edinb. 2023;53(1):35–39. doi:10.1177/14782715221150580

35. Hisata Y, Yamashita S, Tago M, et al. Heidenhain variant of sporadic Creutzfeldt-Jakob disease with a variety of visual symptoms: a case report with autopsy study. Am J Case Rep. 2023:24:e938654. doi:10.12659/ajcr.938654

36. Gharbi A, Nasri A, Sghaier I, et al. Subtypes of Dementia with Lewy Bodies: clinical features, survival, and Apolipoprotein E effect. J Alzheimers Dis Rep. 2023;7(1):1277–1288. doi:10.3233/adr-230064

37. Schumacher J, Ray NJ, Hamilton CA, et al. Free water imaging of the cholinergic system in dementia with Lewy bodies and Alzheimer’s disease. Alzheimers Dement. 2023;19(10):4549–4563. doi:10.1002/alz.13034

38. Ting SKS, Saffari SE, Hameed S, et al. Clinical characteristics of pathological confirmed prodromal dementia with Lewy bodies. J Neurol Sci. 2023;453:120815. doi:10.1016/j.jns.2023.120815

39. Rekik A, Mrabet S, Nasri A, et al. Eye movement study in essential tremor patients and its clinical correlates. J Neural Transm. 2023;130(4):537–548. doi:10.1007/s00702-023-02614-9

40. Fielding-Gebhardt H, Kelly SE, Unruh KE, et al. Sensorimotor and inhibitory control in aging FMR1 premutation carriers. Front Hum Neurosci. 2023;17:1271158. doi:10.3389/fnhum.2023.1271158

41. Tullo MG, Cerulli Irelli E, Caramia F, et al. The spectrum of neurological and sensory abnormalities in Gaucher disease patients: a multidisciplinary study (SENOPRO). Int J Mol Sci. 2023;24(10). doi:10.3390/ijms24108844

42. Venkatachari M, Chakraborty S, Correa ARE, et al. The spectrum of neurological manifestations and genotype-phenotype correlation in Indian children with Gaucher disease. Am J Med Genet A. 2023;191(4):1038–1043. doi:10.1002/ajmg.a.63115

43. Murueta-Goyena A, Del Pino R, Acera M, et al. Retinal thickness as a biomarker of cognitive impairment in manifest Huntington’s disease. J Neurol. 2023;270(8):3821–3829. doi:10.1007/s00415-023-11720-3

44. Sun Y, Zhou Z, Wang Q, Yan J, Zhang Z, Cui T. MRI characteristics due to gene mutations in a Chinese pedigree with Lafora disease. Mol Genet Genomic Med. 2023;11(10):e2228. doi:10.1002/mgg3.2228

45. Benzoni C, Moscatelli M, Farina L, et al. Adult-onset leukodystrophy with vanishing white matter: a case series of 19 patients. J Neurol. 2023;270(9):4219–4234. doi:10.1007/s00415-023-11762-7

46. Dong L, Shang L, Liu C, et al. Genotypic and phenotypic heterogeneity among Chinese pediatric genetic white matter disorders. Ital J Pediatr. 2023;49(1):155. doi:10.1186/s13052-023-01555-z

47. Li Y, Xu J, Xu Y, et al. Clinical, genetic, and molecular characteristics in a central-southern Chinese cohort of genetic leukodystrophies. Ann Clin Transl Neurol. 2023;10(9):1556–1568. doi:10.1002/acn3.51845

48. Cameron JM, Damiano JA, Grinton B, et al. Recognition and epileptology of protracted CLN3 disease. Epilepsia. 2023;64(7):1833–1841. doi:10.1111/epi.17616

49. Purzycka-Olewiecka JK, Hetmańczyk-Sawicka K, Kmieć T, et al. Deterioration of visual quality and acuity as the first sign of ceroid lipofuscinosis type 3 (CLN3), a rare neurometabolic disease. Metab Brain Dis. 2023;38(2):709–715. doi:10.1007/s11011-022-01148-5

50. Refeat MM, Naggar WE, Saied MME, Kilany A. Whole exome screening of neurodevelopmental regression disorders in a cohort of Egyptian patients. Neurogenetics. 2023;24(1):17–28. doi:10.1007/s10048-022-00703-7

51. Sakti DH, Cornish EE, Fraser CL, et al. Early recognition of CLN3 disease facilitated by visual electrophysiology and multimodal imaging. Doc Ophthalmol. 2023;146(3):241–256. doi:10.1007/s10633-023-09930-1

52. Franks C, Eylon A, Carrion A, Bassa R. An atypical presentation of progressive multiple sclerosis in a young black male. Cureus. 2023;15(9):e45496. doi:10.7759/cureus.45496

53. Young CA, Rog DJ, Tanasescu R, et al. Multiple sclerosis vision questionnaire (MSVQ-7): reliability, validity, precision and discrimination. Mult Scler Relat Disord. 2023;80:105115. doi:10.1016/j.msard.2023.105115

54. Zainal Abidin N, Tuan Jaffar TN, Ahmad Tajudin LS. Wall-eyed bilateral internuclear ophthalmoplegia as an early presentation of multiple sclerosis. Cureus. 2023;15(3):e36835. doi:10.7759/cureus.36835

55. Sone J, Ueno S, Akagi A, et al. NOTCH2NLC GGC repeat expansion causes retinal pathology with intranuclear inclusions throughout the retina and causes visual impairment. Acta Neuropathol Commun. 2023;11(1):71. doi:10.1186/s40478-023-01564-3

56. Diez-Cirarda M, Cabrera-Zubizarreta A, Murueta-Goyena A, et al. Multimodal visual system analysis as a biomarker of visual hallucinations in Parkinson’s disease. J Neurol. 2023;270(1):519–529. doi:10.1007/s00415-022-11427-x

57. Tester NJ, Liu CJ, Shin YC, Shukla AW. Visual dysfunction and occupational performance in persons with Parkinson’s disease. Am J Occup Ther. 2023;77(6). doi:10.5014/ajot.2023.050235

58. Lucas-Jiménez O, Ibarretxe-Bilbao N, Diez I, et al. Brain degeneration in Synucleinopathies based on analysis of cognition and other nonmotor features: a multimodal imaging study. Biomedicines. 2023;11(2). doi:10.3390/biomedicines11020573

59. He T, Sun H, Xu B, et al. Novel bi-allelic variants of CHMP1A contribute to pontocerebellar hypoplasia type 8: additional clinical and genetic evidence. Front Neurol. 2023;14:1228218. doi:10.3389/fneur.2023.1228218

60. Naito R, Watanabe Y, Naito A, et al. Visual fixation suppression of caloric nystagmus in progressive supranuclear palsy - A comparison with Parkinson’s disease. J Vestib Res. 2023;33(6):385–401. doi:10.3233/ves-210147

61. Nunomura H, Kasahara T, Hatano T, et al. Case report: saccadic ping-pong gaze in progressive supranuclear palsy with predominant postural instability. Front Neurol. 2023;14:1100931. doi:10.3389/fneur.2023.1100931

62. Inomata-Terada S, Fukuda H, Tokushige SI, et al. Abnormal saccade profiles in hereditary spinocerebellar degeneration reveal cerebellar contribution to visually guided saccades. Clin Neurophysiol. 2023;154:70–84. doi:10.1016/j.clinph.2023.07.006

63. Ouchi H, Ishiguro H, Shibano K, et al. Primary degeneration of oculomotor, motor, and somatosensory systems and auditory and visual pathways in spinocerebellar ataxia type 7: a clinicopathological study in a Japanese autopsy case. Neuropathology. 2023;43(2):164–175. doi:10.1111/neup.12869

64. Carvalho MM, Jesus R, Mendes A, Guimarães P, Conde B. Wolfram syndrome: a curious case of repetitive loss of consciousness. Cureus. 2023;15(10):e46426. doi:10.7759/cureus.46426

65. Vezyroglou A, Akilapa R, Barwick K, et al. The phenotypic Continuum of ATP1A3-related disorders. Neurology. 2022;99(14):e1511–e1526. doi:10.1212/wnl.0000000000200927

66. Wolf B, Heard GS, Weissbecker KA, McVoy JR, Grier RE, Leshner RT. Biotinidase deficiency: initial clinical features and rapid diagnosis. Ann Neurol. 1985;18(5):614–617. doi:10.1002/ana.410180517

67. Doğan M, Eröz R, Öztürk E. Chorioretinal dystrophy, hypogonadotropic hypogonadism, and cerebellar ataxia: Boucher-Neuhauser syndrome due to a homozygous (c.3524C>G (p.Ser1175Cys)) variant in PNPLA6 gene. Ophthalmic Genet. 2021;42(3):276–282. doi:10.1080/13816810.2021.1894461

68. Hoshino H, Kubota M. Canavan disease: clinical features and recent advances in research. Pediatr Int. 2014;56(4):477–483. doi:10.1111/ped.12422

69. Wang MTM, Bhatti MT, Danesh-Meyer HV. Idiopathic intracranial hypertension: pathophysiology, diagnosis and management. J Clin Neurosci. 2022;95:172–179. doi:10.1016/j.jocn.2021.11.029

70. Brancati F, Dallapiccola B, Valente EM. Joubert Syndrome and related disorders. Orphanet J Rare Dis. 2010;5:20. doi:10.1186/1750-1172-5-20

71. Nair A, Greeny A, Rajendran R, et al. KIF1A-associated neurological disorder: an overview of a rare mutational disease. Pharmaceuticals. 2023;16(2). doi:10.3390/ph16020147

72. Klopstock T, Priglinger C, Yilmaz A, Kornblum C, Distelmaier F, Prokisch H. Mitochondrial disorders. Dtsch Arztebl Int. 2021;118(44):741–748. doi:10.3238/arztebl.m2021.0251

73. Porter JM, Pena LDM, Spillmann RC, Johnson A, Shashi V. Shashi-Pena syndrome. In: Adam MP, Feldman J, Mirzaa GM, Pagon RA, Wallace SE, Amemiya A, editors. GeneReviews(®). Seattle: University of Washington; 1993.

74. Breijyeh Z, Karaman R. Comprehensive review on Alzheimer’s disease: causes and treatment. Molecules. 2020;25(24). doi:10.3390/molecules25245789

75. Masrori P, Van Damme P. Amyotrophic lateral sclerosis: a clinical review. Eur J Neurol. 2020;27(10):1918–1929. doi:10.1111/ene.14393

76. Sikorska B, Knight R, Ironside JW, Liberski PP. Creutzfeldt-Jakob disease. Adv Exp Med Biol. 2012;724:76–90. doi:10.1007/978-1-4614-0653-2_6

77. McKeith I. Dementia with Lewy bodies. Dialogues Clin Neurosci. 2004;6(3):333–341. doi:10.31887/DCNS.2004.6.3/imckeith

78. Shanker V. Essential tremor: diagnosis and management. BMJ. 2019;366:l4485. doi:10.1136/bmj.l4485

79. Cabal-Herrera AM, Tassanakijpanich N, Salcedo-Arellano MJ, Hagerman RJ. Fragile X-associated tremor/Ataxia syndrome (FXTAS): pathophysiology and clinical implications. Int J Mol Sci. 2020;21(12). doi:10.3390/ijms21124391

80. Stirnemann J, Belmatoug N, Camou F, et al. A review of gaucher disease pathophysiology, clinical presentation and treatments. Int J Mol Sci. 2017;18(2). doi:10.3390/ijms18020441

81. Dhalla A, Pallikadavath S, Hutchinson CV. Visual dysfunction in Huntington’s disease: a systematic review. J Huntingtons Dis. 2019;8(2):233–242. doi:10.3233/jhd-180340

82. Orsini A, Ferrari D, Riva A, et al. Ocular phenotype and electroretinogram abnormalities in Lafora disease and correlation with disease stage. J Neurol. 2022;269(7):3597–3604. doi:10.1007/s00415-022-10974-7

83. Garces P, Antoniades CA, Sobanska A, et al. Quantitative oculomotor assessment in hereditary Ataxia: systematic review and consensus by the Ataxia global initiative working group on digital-motor biomarkers. Cerebellum. 2024;23(3):896–911. doi:10.1007/s12311-023-01559-9

84. Jalanko A, Braulke T. Neuronal ceroid lipofuscinoses. Biochim Biophys Acta. 2009;1793(4):697–709. doi:10.1016/j.bbamcr.2008.11.004

85. Ford H. Clinical presentation and diagnosis of multiple sclerosis. Clin Med. 2020;20(4):380–383. doi:10.7861/clinmed.2020-0292

86. Lu X, Hong D. Neuronal intranuclear inclusion disease: recognition and update. J Neural Transm. 2021;128(3):295–303. doi:10.1007/s00702-021-02313-3

87. Balestrino R, Schapira AHV. Parkinson disease. Eur J Neurol. 2020;27(1):27–42. doi:10.1111/ene.14108

88. Fu C, Yang N, Chuang JZ, et al. Mutant mice with rod-specific VPS35 deletion exhibit retinal α-synuclein pathology-associated degeneration. Nat Commun. 2024;15(1):5970. doi:10.1038/s41467-024-50189-0

89. Sullivan R, Yau WY, O’Connor E, Houlden H. Spinocerebellar ataxia: an update. J Neurol. 2019;266(2):533–544. doi:10.1007/s00415-018-9076-4

90. Pallotta MT, Tascini G, Crispoldi R, et al. Wolfram syndrome, a rare neurodegenerative disease: from pathogenesis to future treatment perspectives. J Transl Med. 2019;17(1):238. doi:10.1186/s12967-019-1993-1

91. Sullivan LS, Koboldt DC, Bowne SJ, et al. A dominant mutation in hexokinase 1 (HK1) causes retinitis pigmentosa. Invest Ophthalmol Vis Sci. 2014;55(11):7147–7158. doi:10.1167/iovs.14-15419

92. Robinson PA. Protein stability and aggregation in Parkinson’s disease. Biochem J. 2008;413(1):1–13. doi:10.1042/BJ20080295

93. Zhong Y, Mohan K, Liu J, et al. Loss of CLN3, the gene mutated in juvenile neuronal ceroid lipofuscinosis, leads to metabolic impairment and autophagy induction in retinal pigment epithelium. Biochim Biophys Acta Mol Basis Dis. 2020;1866(10):165883. doi:10.1016/j.bbadis.2020.165883

94. van der Zee J, Mariën P, Crols R, et al. Mutated CTSF in adult-onset neuronal ceroid lipofuscinosis and FTD. Neurol Genet. 2016;2(5):e102. doi:10.1212/nxg.0000000000000102

95. Rakheja D, Bennett MJ. Neuronal ceroid-lipofuscinoses. Transl Sci Rare Dis. 2018;3:83–95. doi:10.3233/TRD-180024

96. Shi H, Koronyo Y, Rentsendorj A, et al. Identification of early pericyte loss and vascular amyloidosis in Alzheimer’s disease retina. Acta Neuropathol. 2020;139(5):813–836. doi:10.1007/s00401-020-02134-w

97. Koronyo-Hamaoui M, Koronyo Y, Ljubimov AV, et al. Identification of amyloid plaques in retinas from Alzheimer’s patients and noninvasive in vivo optical imaging of retinal plaques in a mouse model. Neuroimage. 2011;54(Suppl 1):S204–17. doi:10.1016/j.neuroimage.2010.06.020

98. More SS, Vince R. Hyperspectral imaging signatures detect amyloidopathy in Alzheimer’s mouse retina well before onset of cognitive decline. ACS Chem Neurosci. 2015;6(2):306–315. doi:10.1021/cn500242z

99. La Morgia C, Ross-Cisneros FN, Koronyo Y, et al. Melanopsin retinal ganglion cell loss in Alzheimer disease. Ann Neurol. 2016;79(1):90–109. doi:10.1002/ana.24548

100. den Haan J, Morrema THJ, Rozemuller AJ, Bouwman FH, Hoozemans JJM. Different curcumin forms selectively bind fibrillar amyloid beta in post mortem Alzheimer’s disease brains: implications for in-vivo diagnostics. Acta Neuropathologica Commun. 2018;6(1):75. doi:10.1186/s40478-018-0577-2

101. Koronyo Y, Biggs D, Barron E, et al. Retinal amyloid pathology and proof-of-concept imaging trial in Alzheimer’s disease. JCI Insight. 2017;2(16). doi:10.1172/jci.insight.93621

102. Hart de Ruyter FJ, Morrema THJ, den Haan J, et al. α-Synuclein pathology in post-mortem retina and optic nerve is specific for α-synucleinopathies. NPJ Parkinson’s Dis. 2023;9(1):124. doi:10.1038/s41531-023-00570-5

103. Ortuño-Lizarán I, Beach TG, Serrano GE, Walker DG, Adler CH, Cuenca N. Phosphorylated α-synuclein in the retina is a biomarker of Parkinson’s disease pathology severity. Mov Disord. 2018;33(8):1315–1324. doi:10.1002/mds.27392

104. Ning A, Cui J, To E, Ashe KH, Matsubara J. Amyloid-beta deposits lead to retinal degeneration in a mouse model of Alzheimer disease. Invest Ophthalmol Vis Sci. 2008;49(11):5136–5143. doi:10.1167/iovs.08-1849

105. Perez SE, Lumayag S, Kovacs B, Mufson EJ, Xu S. Beta-amyloid deposition and functional impairment in the retina of the APPswe/PS1DeltaE9 transgenic mouse model of Alzheimer’s disease. Invest Ophthalmol Vis Sci. 2009;50(2):793–800. doi:10.1167/iovs.08-2384

106. Liu B, Rasool S, Yang Z, et al. Amyloid-peptide vaccinations reduce β-amyloid plaques but exacerbate vascular deposition and inflammation in the retina of Alzheimer’s transgenic mice. Am J Pathol. 2009;175(5):2099–2110. doi:10.2353/ajpath.2009.090159

107. Hadoux X, Hui F, Lim JKH, et al. Non-invasive in vivo hyperspectral imaging of the retina for potential biomarker use in Alzheimer’s disease. Nat Commun. 2019;10(1):4227. doi:10.1038/s41467-019-12242-1

108. Chaitanuwong P, Singhanetr P, Chainakul M, Arjkongharn N, Ruamviboonsuk P, Grzybowski A. Potential ocular biomarkers for early detection of Alzheimer’s disease and their roles in artificial intelligence studies. Neurol Ther. 2023;12(5):1517–1532. doi:10.1007/s40120-023-00526-0

109. Tang MY, Blazes MS, Lee CS. Imaging Amyloid and Tau in the retina: current research and future directions. J Neuroophthalmol. 2023;43(2):168–179. doi:10.1097/wno.0000000000001786

110. Bucci M, Chiotis K, Nordberg A. Alzheimer’s disease profiled by fluid and imaging markers: tau PET best predicts cognitive decline. Mol Psychiatry. 2021;26(10):5888–5898. doi:10.1038/s41380-021-01263-2

111. Hanseeuw BJ, Betensky RA, Jacobs HIL, et al. Association of Amyloid and Tau with cognition in preclinical Alzheimer disease: a longitudinal study. JAMA Neurol. 2019;76(8):915–924. doi:10.1001/jamaneurol.2019.1424

112. Siderowf A, Concha-Marambio L, Lafontant DE, et al. Assessment of heterogeneity among participants in the Parkinson’s progression markers initiative cohort using α-synuclein seed amplification: a cross-sectional study. Lancet Neurol. 2023;22(5):407–417. doi:10.1016/s1474-4422(23)00109-6

113. Mammadova N, Baron T, Verchère J, et al. Retina as a model to study in vivo transmission of α-Synuclein in the A53T mouse model of Parkinson’s disease. In Singh SR, Hoffman RM, Singh A, editors. Mouse Genetics: Methods and Protocols. Springer US; 2021:75–85.

114. London A, Benhar I, Schwartz M. The retina as a window to the brain—from eye research to CNS disorders. Nat Rev Neurol. 2013;9(1):44–53. doi:10.1038/nrneurol.2012.227

115. Hutton SB. Cognitive control of saccadic eye movements. Brain Cogn. 2008;68(3):327–340. doi:10.1016/j.bandc.2008.08.021

116. Chiquita S, Rodrigues-Neves AC, Baptista FI, et al. The retina as a window or mirror of the brain changes detected in Alzheimer’s disease: critical aspects to unravel. Mol Neurobiol. 2019;56(8):5416–5435. doi:10.1007/s12035-018-1461-6

117. Jindahra P, Hengsiri N, Witoonpanich P, et al. Evaluation of retinal nerve fiber layer and ganglion cell layer thickness in Alzheimer’s disease using optical coherence tomography. Clin Ophthalmol. 2020;14:2995–3000. doi:10.2147/opth.S276625

118. Marziani E, Pomati S, Ramolfo P, et al. Evaluation of retinal nerve fiber layer and ganglion cell layer thickness in Alzheimer’s disease using spectral-domain optical coherence tomography. Invest Ophthalmol Vis Sci. 2013;54(9):5953–5958. doi:10.1167/iovs.13-12046

119. Wylęgała A. Principles of OCTA and applications in clinical neurology. Curr Neurol Neurosci Rep. 2018;18(12):96. doi:10.1007/s11910-018-0911-x

120. Poll-The BT, Maillette de buy Wenniger-Prick CJ. The eye in metabolic diseases: clues to diagnosis. Eur J Paediatr Neurol. 2011;15(3):197–204. doi:10.1016/j.ejpn.2011.03.005

121. Kundu A, Ma JP, Robbins CB, et al. Longitudinal analysis of retinal microvascular and choroidal imaging parameters in Parkinson’s disease compared with controls. Ophthalmol Sci. 2023;3(4):100393. doi:10.1016/j.xops.2023.100393

122. Zhang W, Xiao D, Mao Q, Xia H. Role of neuroinflammation in neurodegeneration development. Signal Transduct Target Ther. 2023;8(1):267. doi:10.1038/s41392-023-01486-5

123. Bahr T, Vu TA, Tuttle JJ, Iezzi R. Deep learning and machine learning algorithms for retinal image analysis in neurodegenerative disease: systematic review of datasets and models. Transl Vis Sci Technol. 2024;13(2):16. doi:10.1167/tvst.13.2.16

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