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Open Access Research article

Perimetric and retinal nerve fiber layer findings in patients with Parkinson’s disease

Evangelia E Tsironi1*, Anna Dastiridou1, Andreas Katsanos1, Efthymios Dardiotis2, Stella Veliki1, Gianna Patramani2, Fani Zacharaki1, Stella Ralli2 and Georgios M Hadjigeorgiou2

Author Affiliations

1 Department of Ophthalmology, University Hospital of Larissa, Faculty of Medicine, University of Thessaly, Mezourlo 41222 Larissa, Greece

2 Department of Neurology, University Hospital of Larissa, Faculty of Medicine, University of Thessaly, Larissa, Greece

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BMC Ophthalmology 2012, 12:54  doi:10.1186/1471-2415-12-54


The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1471-2415/12/54


Received:27 June 2012
Accepted:25 September 2012
Published:2 October 2012

© 2012 Tsironi et al.; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background

Visual dysfunction is common in Parkinson’s disease (PD). It remains, however, unknown whether it is related to structural alterations of the retina. The aim of this study is to compare visual field (VF) findings and circumpapillary retinal nerve fiber layer (RNFL) thickness in a series of PD patients and normal controls, in order to assess possible retinal anatomical changes and/or functional damage associated with PD.

Methods

PD patients and controls were recruited and underwent VF testing with static automated perimetry and RNFL examination with optical coherence tomography (OCT). Cognitive performance using Mini Mental State Examination (MMSE), PD staging using modified Hoehn and Yahr (H-Y) scale and duration of the disease was recorded in PD patients.

Results

One randomly selected eye from each of 24 patients and 24 age-matched controls was included. OCT RNFL thickness analysis revealed no difference in the inferior, superior, nasal or temporal sectors between the groups. The average peripapillary RNFL was also similar in the two groups. However, perimetric indices of generalized sensitivity loss (mean deviation) and localized scotomas (pattern standard deviation) were worse in patients with PD compared to controls (p < 0.01). 73% of eyes of PD patients had glaucomatous-like asymmetrical hemifield defects with abnormal Glaucoma Hemifield Test and various combinations of arcuate defects (n = 12), nasal steps (n = 11) and paracentral scotomas (n = 16). Bilateral defects were found in 14 patients (58%). No correlation was found between VF indices and MMSE or H-Y scores.

Conclusion

PD patients may demonstrate glaucomatous-like perimetric defects even in the absence of decreased RNFL thickness.

Keywords:
Visual loss; Visual fields; Parkinson's disease; Retina; Visual processing

Background

Parkinson’s disease (PD) is a neurodegenerative disorder characterized by selective loss of dopaminergic neurons in the nigrostriatal pathway. PD patients experience progressive motor impairment, often accompanied by a variety of non-motor symptoms [1]. Visual dysfunction is common in PD and manifests as visual acuity loss, reduced colour discrimination and deficiencies in visual contrast sensitivity and motion perception [2-6]. These visual deficits may stem from dopaminergic denervation of amacrine retinal cells [6,7]. Dopamine is essential for light adaptation, by facilitating visual signal transmission in rod and cone circuits, and exerts multiple trophic effects in retinal cells [7]. Studies in autopsy cases of PD revealed loss of the dopaminergic innervation around the fovea and decreased retinal dopamine concentration despite the preservation of retinal dopaminergic neurons [8,9]. It remains, however, unknown whether these changes could result in structural alterations of the retina or only in functional deficits.

In a search of a potential biomarker of PD progression or response to neuroprotective agents, a number of studies [10-12] using optical coherence tomography (OCT), a non-invasive imaging modality [13], have provided evidence of peripapillary retinal nerve fiber layer (RNFL) thinning in PD patients. However, recent studies did not confirm the presence of structural alterations of the retina around the optic nerve head in PD patients [14-16]. On the contrary, visual function tests have highlighted differences between PD patients and controls [6]. A previous study has shown characteristic visual field (VF) defects in PD patients [17].

In the present study, in order to investigate both retinal anatomical changes and functional damage in PD, we compared RNFL thickness measured with OCT and VFs performed with static automated perimetry in a series of PD patients and normal controls.

Methods

Patients

This cross-sectional case–control study was conducted at the University Eye Clinic of Larissa, Greece, between June 2009 and June 2010. Patients diagnosed with PD attending the University Neurology Clinic of Larissa, Greece, were referred for ophthalmic evaluation in the University Ophthalmology Department. Patients were recruited in a consecutive-if-eligible fashion. All patients in our sample underwent a neurologic examination. Eligible patients met the criteria for PD [18] including substantial and sustained response to L-dopa, and were under stable and optimal treatment with L-dopa. In addition, all patients were receiving treatment and were in “ON” period during the ophthalmic evaluation. The patients’ duration of PD, general medical history and treatment modalities were recorded. PD staging was assessed with the modified Hoehn and Yahn (H-Y) scale and severity of cognitive impairment was evaluated using the Mini Mental State Examination (MMSE) test. Age- and gender-matched individuals attending the outpatient eye clinic for mild cataracts or refraction problems were recruited as controls.

Inclusion criteria for PD patients and controls were: visual acuity equal to or better than 6/10, spherical equivalent refractive error between −5 and +3 diopters, at least two intraocular pressure (IOP) readings lower than 21 mmHg at two different time points, and ability to follow the study protocol. In an effort to avoid confounding conditions, exclusion criteria were: presence of diabetic retinopathy, presence of other neurodegenerative disorders, positive family history of glaucoma, narrow anterior chamber angles at gonioscopy, cup-to-disc ratio greater than 0.6, glaucomatous appearance of the optic discs (defined as fellow eye asymmetry in cup-to-disc ratio > 0.2, neuroretinal rim thinning, disc hemorrhages or retinal nerve fiber layer defects), signs of ocular disease other than visually non-significant cataract, and previous ocular surgery other than uneventful phacoemulsification.

Procedures

Both PD patients and controls underwent a thorough ophthalmic evaluation, including assessment of best-corrected visual acuity, VF testing, Goldmann applanation tonometry, slit lamp examination, gonioscopy and dilated fundoscopy with a 90 diopters lens. Standard automated perimetry was performed in all patients with the Humphrey 24–2 SITA-Standard algorithm on the day of examination and was repeated after a period of up to two weeks. RNFL OCT scans were obtained in all participants after pupil dilation in the first visit, using the Stratus OCT (Carl Zeiss Meditec, Dublin, CA, USA) and analyzed with the fast RNFL algorithm. Only participants with high quality OCT scans (signal strength ≥7) and no artifacts were included.

To be eligible for analysis, participants had to have a reliable second VF (false positive and false negative responses lower than 33% and fixation losses lower than 20%). Mean deviation (MD) and pattern standard deviation (PSD) were used as perimetric indices of generalized sensitivity loss and localized scotomas respectively. Only data from the second VF entered the statistical analysis. Based on reports about scotomas similar to glaucomatous visual field losses in PD patients [17], in addition to the Humphrey-provided MD and PSD indices, we calculated sensitivity scores over the superior and inferior hemifields. The VF printout was used for the calculation of mean sensitivity scores in the superior (Mean Sensitivity Superior-MSS) and inferior hemifield (Mean Sensitivity Inferior-MSI) from the individual test-point sensitivity values in the corresponding hemifield. The Glaucoma Hemifield Test (GHT) results, as an index of asymmetry between sensitivity losses in the superior and inferior hemifield of each eye were also analyzed. A scotoma was defined as a cluster of at least three abnormal points (including two or more points depressed by a p-value less than 0.5%) on the pattern deviation probability map of the Humphrey 24–2 SITA-Standard programme. Points with decreased sensitivity immediately adjacent to the blind spot were not considered parts of scotomas. Test points at the periphery (rim points) could be considered as parts of scotomas if at least two of the points were non-peripheral (nonrim) [19].

The study protocol adhered to the tenets of the Helsinki Declaration and was approved by the Institutional Board of the University Hospital of Larissa, Greece. All participants gave informed consent before entering the study.

Statistical analysis

Both eyes from each patient were examined. With the exception of the VF asymmetry analysis in PD patients, one randomly selected eye from each participant was used for all other comparisons [20]. Data are presented as mean ± standard deviation (SD). Normality of distribution was assessed with the Kolmogorov-Smirnov test. The independent samples t-test was used in comparisons of normally distributed data. Mann–Whitney testing was used for non-parametric comparisons. The chi-square test was used to compare differences between groups in categorical variables. Comparisons between fellow eyes or between superior and inferior hemifields of the same eye were performed with the paired t-test where appropriate, or otherwise with the Wilcoxon signed ranks test. Correlation analysis was performed with the Spearman test. A p-value below 0.05 was considered significant. The SPSS software package was used for all analyses (version 16; SPSS, Inc., Chicago, IL, USA).

Results

A sample of 33 PD patients was initially recruited, with nine patients being excluded due to unreliable VFs (n = 7) or inability to acquire an acceptable OCT scan (n = 2). Thus, data from 24 PD patients and 24 controls were analyzed. Mean (SD) age was 66.6 (10.2) years in PD patients and 64.3 (7.3) years in the control group (p = 0.374). Mean disease duration, H-Y staging and MMSE score in the PD group were 5.3 (3.5) years, 1.9 (0.6) and 28.3 (2.4), respectively. Mean IOP was 15.3 (2.2) mmHg in the PD and 14.5 (2.6) mmHg in the control group (p = 0.241). Patients’ characteristics are displayed in Table 1 and 1.

Additional file 1. Clinical characteristics of patients with Parkinson’s disease.

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This file can be viewed with: Microsoft Word ViewerOpen Data

Table 1. Characteristics of the study groups. Results presented as mean (standard deviation)

Analysis of the OCT parameters revealed no difference between the groups in mean RNFL thickness in the inferior, superior, nasal and temporal sectors of the retina (Table 2).

Table 2. Optical coherence tomography and visual field results [mean (standard deviation)] for the study and control groups

Reliable VFs were obtained from 48 eyes of 24 PD patients. MD and PSD scores were worse in PD patients compared to the control group (p < 0.05, Table 2). Likewise, MSI and MSS were found to be lower in PD patients, compared to controls (p < 0.01, Table 2). In the PD group, mean MSS was 22.17 (5.84) dB and mean MSI was 23.95 (4.30) dB. MSI was higher compared to MSS (p = 0.014, Wilcoxon signed ranks test).

No correlation was found between MD and MMSE scores (Spearman ρ = 0.313, p = 0.137) or H-Y scale scores (ρ = −0.229, p = 0.281).

In the group of PD patients, the GHT was within normal limits in 8 (16.7%) eyes, borderline in 5 (10.4%) eyes and outside normal limits in 35 (72.9%) eyes. In the group of patients whose GHT was outside normal limits, arcuate defects were evident in 12 eyes, nasal steps in 11 eyes, and paracentral scotomas in 16 eyes (Figure 1). Bilateral defects were found in 14 patients. No VF defects were detected in controls.

thumbnailFigure 1. A and B: Humphrey visual field (A) and peripapillary retinal nerve fiber layer (RNFL) thickness profile (B) of the left eye of a 67 years-old man with Parkinson’s disease. The visual field print-out shows decreased mean deviation (MD), pathological pattern standard deviation (PSD), glaucoma hemifield test (GHT) outside normal limits, and deep superior arcuate scotoma. The optical coherence tomography printout shows that the RNFL thickness is within normal limits. The marginal decrease of RNFL thickness at the superior-temporal area does not correspond to the visual field scotomas.

Additional analysis was performed to test for asymmetry in VF indices of fellow eyes. Right and left eyes were not found to differ for MD and PSD in PD patients (paired t-test, p = 0.518 and Wilcoxon signed ranks test, p = 0.440, respectively).

Discussion

The present study did not provide evidence of RNFL thinning in patients with PD. However, VF defects were more frequent in PD patients compared to controls.

A number of previous studies [10-12], although not all [14-16], provided evidence of reduced RNFL thickness in PD patients. Inzelberg et al. [11] reported a reduction in the infero temporal RNFL thickness, which was topographically matched to the VF defects, in a subset of five patients with reliable VFs. A reduction in average RNFL thickness, macular thickness and volume was also reported in another study in PD patients [11]. Decreased RNFL thickness has also been suggested in PD patients examined with scanning laser ophthalmoscopy [21]. Moschos et al. [12] reported reduced temporal and inferior RNFL thickness in PD patients compared to controls. However, in agreement with our results, mean RNFL thickness did not differ between the groups. In addition, OCT findings with spectral domain OCT (SD-OCT) suggest a decreased thickness of the paramacular inner retina, including the nerve fiber layer, the ganglion cell layer and the inner plexiform layer in PD patients, while outer retinal layer thickness was not found to differ from controls [22]. Increased inner nuclear layer thickness has been identified in a more recent study [16].

The finding of RNFL thinning in PD patients has been attributed to the loss of trophic effects induced by dopamine depletion in the retina [7]. Although autopsy studies have documented decreased retinal dopamine concentration in PD patients [9], degeneration of retinal dopaminergic neurons and changes in cell density have not been shown [8]. It is not obvious how dopamine depletion could mediate RNFL thinning in PD. A pilot study using the recently introduced SD-OCT imaging platform did not detect differences in the RNFL thickness of PD patients and controls [14]. Moreover, Archibald et al. failed to detect any RNFL thinning in PD patients, but showed more frequent functional visual defects [15]. In another study in PD patients, no evidence of RNFL thinning with the use of SD- OCT was found [16]. Similarly, in our present study, no significant difference was detected in RNFL thickness in PD patients and controls. Discrepancies between studies may be attributed to differences in study populations, small sample size in some reports, different stages of disease and differences in imaging technologies. In our study, the widely available time-domain OCT platform (Stratus OCT) was used. This device is based on low-coherence interferometry to produce high-resolution, two-dimensional images of the optic nerve head and retina [23]. More recently, SD-OCT, with a scanning speed up to 200 times higher than time-domain OCT and a higher axial resolution was introduced in clinical practice [24-26]. Consequently, it could be argued that SD-OCT would provide more valid data and a greater discriminating ability than time-domain OCT. However, despite the theoretical advantages of the superior reproducibility, resolution and higher scanning speed, recent studies have failed to demonstrate an unequivocal superiority of the commercially available SD-OCT devices over time-domain OCT in the assessment of optic nerve diseases [27-29]. Therefore, the use of the widely available Stratus OCT that employs time-domain technology instead of newer SD-OCT devices may not necessarily limit the validity of our results.

Compared to structural tests, visual function tests may be more relevant in detecting differences between PD patients and controls. Yenice et al. [17] studied VFs in 14 patients with PD, and found decreased MD and PSD scores compared to the control group. In that study, six eyes had nasal steps and six eyes had arcuate defects. A pattern that resembles nerve fiber bundle defects and glaucomatous-like VF loss was also observed in PD patients in our study: 73% of 48 eyes had a GHT outside normal limits, compared to 50% of 28 eyes in the study by Yenice et al. It should be noted that the GHT is an algorithm that was specifically developed for glaucoma. However, we have chosen to analyze GHT results due to the resemblance of typical glaucomatous VF defects with the scotomas found in our non-glaucoma cohort of PD patients. In line with the report by Yenice et al. [17], arcuate defects, nasal steps and paracentral scotomas were also found in our patients. Bilateral VF damage was identified in 14 of our patients.

An increased occurrence of probable glaucoma was reported in a retrospective chart review of 38 patients with PD [30]. To ensure that our participants did not have glaucoma, that could confound our results, we excluded PD patients and controls who had positive family history of glaucoma, narrow anterior chamber angles on gonioscopy or optic disc findings suspicious for glaucoma. Therefore, despite the similarities of glaucomatous scotomas with the scotomas detected in our study, it is quite unlikely that the perimetric findings observed in our patients can be attributed to glaucomatous neuropathy. In glaucoma, there is typically a matching of structural and functional damage. Characteristic VF defects in glaucoma patients can usually be matched to topographically corresponding damage of the optic disc and/or RNFL. The glaucomatous-like visual field defects observed in our series of non-glaucoma PD patients, however, could not be matched to corresponding RNFL thinning (Figure 1). Instead, it is reasonable to assume that the functional deficit observed in this cohort of patients can be explained by intra-retinal, subcortical and cortical neuronal disorganization or injury related to PD.

Animal and human studies have suggested the involvement of the visual pathway in the disease process of PD [31,32]. It was shown that higher cortical visual processes, as well as the retina may be affected [6]. Reduced responses have been reported by means of pattern electroretinograms (pERG) reflecting ganglion cell dysfunction [33,34], as well as flash ERG, indicating outer retina impairment [34]. Multifocal ERG testing, which is believed to mainly reflect bipolar cell activity also revealed differences in PD patients and controls [12]. pERG studies also highlighted changes in retinal ganglion cell function in PD [34-36]. Increased latencies in visual evoked potentials (VEP) were also found, corresponding to a delayed response to visual stimuli due to retinal or post-retinal processing dysfunction [34,37]. This delayed response could at least in part originate from retinal damage, given that dopamine neurons are rare in the visual system at sites other than the retina [5].

Indeed, the pathophysiological basis of the functional visual system impairment in PD has not been fully elucidated. A decrease in dopamine concentration has been found in the retina of patients suffering from PD [9]. Although the role of dopamine in the retinal neural circuitry is not fully understood, there is evidence that dopaminergic deficiency may directly or indirectly affect amacrine, horizontal and retinal ganglion cells and modify the receptive field output of the retina [6,31]. These changes in the coupling between the different cellular systems that form the retinal network could, at least in part, explain the VF defects observed in the present study.

L-dopa therapy in PD patients may also have an effect on visual parameters. Actually, administration of L-dopa in PD patients was found to transiently reverse contrast sensitivity abnormalities, pERG alterations and VEP latencies [6,37]. On the contrary, in our sample, VF defects were identified despite our patients being under optimal L-Dopa treatment and in “ON” period. This suggests that apart from dopamine deficiency, there may also be additional mechanisms accounting for retinal dysfunction in patients with PD.

It should be noted that fixation problems and motor system symptoms can also make VF testing a demanding task for this group of patients. Moreover, it has been shown that reaction times and saccadic eye movements may be affected in PD [38], leading to poor VF performance. However, all patients analyzed in the present study had reliable VFs. Additionally, the 24–2 SITA-Standard algorithm that was used offers the advantage of a relatively short testing time compared to other full-threshold strategies [39]. Another relevant feature of this algorithm is that it continuously monitors the patient’s response rate and adjusts the stimulus presentation rate accordingly [40]. Therefore, motor dysfunction per se cannot fully explain the worse perimetric performance of our patients compared to age-matched controls. In addition, visuo-spatial deficits and dysfunction of the visual information processing from the retina to the visual cortex was also reported in PD patients [6] and could contribute to VF defects. However, in the present study, PD patients had a mean MMSE score that corresponds to a normal cognitive function, while 6 patients had a score under the recently suggested cut-off value [41]. Analysis of the data did not show any correlation between the MMSE score and VF indices. This finding may suggest that VF damage in PD patients can be attributed, at least to a certain extent, to retinal dysfunction.

Regardless of the underlying pathophysiological mechanism, our finding that PD patients can have significant visual field defects is clinically relevant. Clinicians need to be aware of the association between this neurodegenerative disorder and visual field deficits. In fact, the attribution of “true” glaucomatous VF defects in PD patients with definite glaucoma can be clinically challenging. In such cases, as previously discussed, careful attention to the matching patterns of structural and functional damage would be critical for the assessment of possible glaucomatous damage. Even more, as judged by the depth and extent of the scotomas, an appreciable functional deficit could be anticipated for at least some of these patients. The impact of these VF defects on the patient’s quality of life remains to be determined.

Conclusion

The present study provides evidence of perimetric defects in a group of PD patients without concomitant signs of anatomical retinal damage. Despite the absence of morphological evidence of RNFL tissue loss, the pattern of VF defects may resemble retinal ganglion cell dysfunction. Prospective longitudinal investigations would be valuable to elucidate retinal structural and functional changes in the course of the disease.

Abbreviations

PD: Parkinson Disease; VF: Visual Field; OCT: Optical Coherence Tomography; RNFL: Retinal Nerve Fiber Layer; MD: Mean Deviation; PSD: Pattern Standard Deviation; IOP: Intraocular Pressure; MMSE: Mini Mental State Examination; VEP: Visual Evoked Potential; ERG: Electoretinogram; GHT: Glaucoma Hemifield Test; MSS: Mean Sensitivity Superior; MSI: Mean Sensitivity Inferior.

Competing interests

The authors declare that they have no competing interests.

Authors’ contribution

EET: Study design, revising the manuscript, interpretation of data, study coordination and supervision AID: Drafting and revising the manuscript, interpretation of data, statistical analysis AK: Drafting the manuscript, interpretation of dataED: Drafting the manuscript, analysis of dataFZ, SV, GP and SR: Acquisition and analysis of data GMH: Analysis and interpretation of data, revising the manuscript. All authors read and approved the final manuscript.

Funding

There was no financial support for this study.

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Pre-publication history

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http://www.biomedcentral.com/1471-2415/12/54/prepub