" Visual Characterization of Parkinson's Patients and Oculomotor or Perceptual Therapy"
NCT ID: NCT06032130
Last Updated: 2023-11-30
Study Results
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Basic Information
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RECRUITING
160 participants
OBSERVATIONAL
2023-09-29
2026-06-01
Brief Summary
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The aim is to compare visual function between PD patients and healthy subjects in order to adequately characterise the visual capabilities of the PD population and perform oculomotor or perceptual therapy to find optometric solutions to slow down the visual impairment they suffer from or minimise their visual symptoms.
In the first phase, non-invasive tests will be carried out, such as measuring visual acuity, refraction, pupil diameter in different lighting conditions, sensory dominance, contrast sensitivity, colour vision, stereopsis, reading speed, binocular vision, eye movements and influence on quality of life.
In the second, visual oculomotor or perceptual exercises will be performed in a group of PD patients to assess whether there is stabilisation of impairment or improvement of these visual skills. These will be performed in a non-invasive way using simple and easy-to-use instruments or an application on an electronic device could be used.
Finally, in the third phase, those visual skills that have been treated will be re-evaluated to assess possible changes, compared with a group of PD patients who have not undergone the visual exercises.
Detailed Description
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It is hypothesised that a programme of visual oculomotor therapy and/or visual perceptual learning (VPL) could slow or halt the deterioration of oculomotor ability and/or CS in these patients. Visual perceptual learning or VPL is a long-term improvement in performance on a visual task, any relatively permanent change in perception that arises from visual experience. Contrast Sensitivity or CS is the ability of the visual system to differentiate an object from the background in which it is located by the difference in contrast. It is the ability to detect differences in luminance between adjacent areas in an image.
If the results confirm the hypothesis, this study will have a great impact on the PD population because it could slow down the deterioration of oculomotor ability that 75% of them suffer from. It could also slow down the decline in CS that they suffer, as demonstrated by several studies. Consequently, patients would also experience an improvement in their quality of life, as they would be able to continue to perform activities of daily living that are affected by visual impairment such as walking, reading, driving and cooking. This would have a major impact on society as PD affects many people worldwide. In Europe, the prevalence and incidence rates of PD are estimated to be approximately 108-257/100 000 and 11-19/100 000 per year, respectively. Furthermore, this project would expand scientific knowledge because to date there is no literature that has evaluated VPL in patients with PD. However, there is research on amblyopia, Stargardt's disease and other neural pathologies, such as Huntington's disease. Likewise, with regard to oculomotor therapy, there is still a lot of research to be done, as there are few studies on this subject.
This is an analytical, longitudinal, prospective and observational study. In the first phase, to characterise the vision of the population with Parkinson's disease, non-invasive tests would be performed, such as measuring visual acuity, refraction, contrast sensitivity, colour vision, depth vision, the state of binocular vision and visual pathways and eye movements. Simultaneously, a control population will be measured to compare the data obtained in PD patients.
In a second phase, visual oculomotor and/or perceptual exercises would be performed in a group of PD patients to assess whether there is stabilisation of the impairment and/or improvement of these visual skills.
Finally, in the third phase, those visual skills that have been treated would be re-evaluated to assess possible changes, compared with a group of PD patients who have not undergone the visual exercises.
The research will be carried out at the Laboratory of Vision and Colour Sciences of the Department of Optics, Optometry and Vision Sciences of the University of Valencia, at the Arnau de Vilanova Hospital and at the Parkinson's Association of Valencia. These are the institutions from which the participants who take part in the study will come. They will do so voluntarily, will not be coerced to participate in any way and will be free to choose whether they want to participate or not, after having been explained to them what this project consists of. Furthermore, they will be able to revoke their signed consent at any time, so that they will automatically be excluded from the study and their data will not be used in the study if the patient so wishes. Furthermore, this project does not harm the patient's health and does not bring any financial benefit to the patient.
Only the members of the project will have access to the original study data. These data will be collected on paper, and the original source will be kept under lock and key in the laboratory of Vision and Colour Sciences of the Department of Optics, Optometry and Vision Sciences of the University of Valencia. For data analysis, the principal investigator will extract the data into a computer document in which each patient will be identified by a two-letter code (GP: control group; PD: Parkinson's patient) and three numbers. Not even the initials of the name will appear. Under this code, the data of each patient will be entered. This is the data that the rest of the group will see and have access to. Adverse event reporting and change management will be carried out through the Reservio platform, which will be used for appointment planning and online booking.
Data analysis will be carried out using the SPSS (Statistical Package for Social Sciences) statistical software and the Matlab numerical calculation system. The statistical analysis plan is as follows: the mean, standard deviation and normality of the samples will be performed with the Shapiro-Wilk test. Statistical comparison between groups will be performed with Student's t-test if the data follow a normal distribution or with the U-Mann-Whitney test otherwise. The statistical test used for qualitative variables will be Pearson's chi-square test.
Conditions
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Keywords
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Study Design
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CASE_CONTROL
PROSPECTIVE
Study Groups
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Parkinson Disease Group (PD)
1. Anamnesis
2. Measurement of best visual acuity with an EDTRS (Early Treatment Diabetic Retinopathy Study) test
3. Measurement of refraction with trial frame refraction
4. Measurement of pupillary diameter under photopic and mesopic illumination conditions using a specific millimetric ruler
5. Measurement of ocular sensory dominance with the red filter test
6. Measurement of binocular vision status with the Cover Test, prism bar and Maddox wing
7. Photopic and mesopic achromatic contrast sensitivity using the Functional Test Analyzer device
8. Stereopsis using the Titmus Test
9. Colour vision using the Farnsworth-Munsell 100 Hue sorting test
10. Measurement of eye movements with aDEMd (adult Developmental Eye Movement) test and NSUCO (Northeastern State University College of Optometry)
11. Measurement of reading speed with Radner-Vissum test
12. National Eye Institute Visual Functioning Questionnaire-25 (NEI VFQ-25)
Clinical measurements
Optometric measurements
Control Group (GP)
1. Anamnesis: name, sex, date of birth, contact, family contact, medical report, Hoehn \& Yahr classification, medication, systemic, ocular and family history, consumption of tobacco, alcohol, drugs, coffee, physical activity, eye colour, other observations
2. Measurement of best visual acuity with an EDTRS test
3. Measurement of refraction with trial frame refraction
4. Measurement of pupillary diameter under photopic and mesopic illumination conditions using a specific millimetric ruler
5. Measurement of ocular sensory dominance with the red filter test
6. Measurement of binocular vision status with the Cover Test, prism bar and Maddox wing
7. Photopic and mesopic achromatic contrast sensitivity using the Functional Test Analyzer device
8. Stereopsis using the Titmus Test
9. Colour vision using the Farnsworth-Munsell 100 Hue sorting test
10. Measurement of eye movements with aDEMd test and NSUCO
11. Measurement of reading speed with Radner-Vissum test
12. NEI VFQ-25
Clinical measurements
Optometric measurements
Therapy Parkinson Disease Group (TPD)
Oculomotor exercises such as tracking eye movements, saccadic eye movements and fixations will be performed. These exercises will be performed in a non-invasive manner using simple and easy-to-use instruments. An application on an electronic device, namely the virtual reality software Visionary, could also be used. If financial resources allow, the intention is to use tablets or computers for this purpose. Perceptual learning exercises will also be carried out on an electronic device. The following variables will be collected from these exercises: time taken to carry out the tests, errors made, speed of completion, latency, etc. These will be compared before and after the exercises in the third phase. In addition, the patients will be given indications for working on these exercises at home.
Oculomotor or perceptual therapy
Oculomotor or perceptual visual learning exercices
Control Parkinson Disease Group (CPD)
These patients will not receive oculomotor or perceptual therapy. They will be evaluated in the same manner as patients who will receive therapy, both at the beginning and at the end of therapy in the other group.
Clinical measurements
Optometric measurements
Interventions
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Clinical measurements
Optometric measurements
Oculomotor or perceptual therapy
Oculomotor or perceptual visual learning exercices
Eligibility Criteria
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Inclusion Criteria
* Subjects not taking medication with visual side effects.
* Subjects able to perform the tests.
* Subjects of similar age and sex as their corresponding Parkinson's patient so that both samples are age and gender matched.
* Subjects diagnosed with Parkinson's disease.
* Parkinson's patients classified according to the Hoehn \& Yahr Scale.
Exclusion Criteria
* Subjects with neurodegenerative or neural diseases other than the study itself, such as Alzheimer's disease, Devic's disease, Huntington's disease, Creutzfeldt-Jakob disease, epilepsy, ataxia, multiple sclerosis or amyotrophic lateral sclerosis.
* Subjects taking medication that may alter any visual ability such as anxiolytics, antidepressants, sleeping pills.
* Subjects with problems in understanding and following the tests.
* Patients who have been previously treated under a vision therapy program.
30 Years
100 Years
ALL
Yes
Sponsors
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Asociación Parkinson Valencia
OTHER
Hospital Arnau de Vilanova
OTHER
University of Valencia
OTHER
Responsible Party
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Amparo Diez
Principal Investigator
Principal Investigators
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María Amparo Díez-Ajenjo, PhD
Role: PRINCIPAL_INVESTIGATOR
University of Valencia
Locations
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Hospital Arnau de Vilanova
Valencia, , Spain
Countries
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Central Contacts
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Facility Contacts
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Carlos Perla Muedra, Doctor
Role: primary
References
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Armstrong MJ, Okun MS. Diagnosis and Treatment of Parkinson Disease: A Review. JAMA. 2020 Feb 11;323(6):548-560. doi: 10.1001/jama.2019.22360.
Armstrong RA. Visual symptoms in Parkinson's disease. Parkinsons Dis. 2011;2011:908306. doi: 10.4061/2011/908306. Epub 2011 May 25.
Balestrino R, Schapira AHV. Parkinson disease. Eur J Neurol. 2020 Jan;27(1):27-42. doi: 10.1111/ene.14108. Epub 2019 Nov 27.
Beste C, Wascher E, Dinse HR, Saft C. Faster perceptual learning through excitotoxic neurodegeneration. Curr Biol. 2012 Oct 23;22(20):1914-7. doi: 10.1016/j.cub.2012.08.012. Epub 2012 Sep 13.
Borm CDJM, Visser F, Werkmann M, de Graaf D, Putz D, Seppi K, Poewe W, Vlaar AMM, Hoyng C, Bloem BR, Theelen T, de Vries NM. Seeing ophthalmologic problems in Parkinson disease: Results of a visual impairment questionnaire. Neurology. 2020 Apr 7;94(14):e1539-e1547. doi: 10.1212/WNL.0000000000009214. Epub 2020 Mar 11.
Campbell FW, Robson JG. Application of Fourier analysis to the visibility of gratings. J Physiol. 1968 Aug;197(3):551-66. doi: 10.1113/jphysiol.1968.sp008574.
Ekker MS, Janssen S, Seppi K, Poewe W, de Vries NM, Theelen T, Nonnekes J, Bloem BR. Ocular and visual disorders in Parkinson's disease: Common but frequently overlooked. Parkinsonism Relat Disord. 2017 Jul;40:1-10. doi: 10.1016/j.parkreldis.2017.02.014. Epub 2017 Feb 21.
Fahle M. Perceptual learning: a case for early selection. J Vis. 2004 Oct 26;4(10):879-90. doi: 10.1167/4.10.4.
Gonzalez-Rodriguez P, Zampese E, Stout KA, Guzman JN, Ilijic E, Yang B, Tkatch T, Stavarache MA, Wokosin DL, Gao L, Kaplitt MG, Lopez-Barneo J, Schumacker PT, Surmeier DJ. Disruption of mitochondrial complex I induces progressive parkinsonism. Nature. 2021 Nov;599(7886):650-656. doi: 10.1038/s41586-021-04059-0. Epub 2021 Nov 3.
Han G, Han J, Han K, Youn J, Chung TY, Lim DH. Visual Acuity and Development of Parkinson's Disease: A Nationwide Cohort Study. Mov Disord. 2020 Sep;35(9):1532-1541. doi: 10.1002/mds.28184. Epub 2020 Jul 25.
Huang CB, Zhou Y, Lu ZL. Broad bandwidth of perceptual learning in the visual system of adults with anisometropic amblyopia. Proc Natl Acad Sci U S A. 2008 Mar 11;105(10):4068-73. doi: 10.1073/pnas.0800824105. Epub 2008 Mar 3.
Kaur M, Saxena R, Singh D, Behari M, Sharma P, Menon V. Correlation Between Structural and Functional Retinal Changes in Parkinson Disease. J Neuroophthalmol. 2015 Sep;35(3):254-8. doi: 10.1097/WNO.0000000000000240.
Sasaki Y, Nanez JE, Watanabe T. Advances in visual perceptual learning and plasticity. Nat Rev Neurosci. 2010 Jan;11(1):53-60. doi: 10.1038/nrn2737. Epub 2009 Dec 2.
Sasso P, Silvestri V, Sulfaro M, Scupola A, Fasciani R, Amore F. Perceptual learning in patients with Stargardt disease. Can J Ophthalmol. 2019 Dec;54(6):708-716. doi: 10.1016/j.jcjo.2019.03.012. Epub 2019 May 31.
Savitt J, Aouchiche R. Management of Visual Dysfunction in Patients with Parkinson's Disease. J Parkinsons Dis. 2020;10(s1):S49-S56. doi: 10.3233/JPD-202103.
Shibasaki H, Tsuji S, Kuroiwa Y. Oculomotor abnormalities in Parkinson's disease. Arch Neurol. 1979 Jun;36(6):360-4. doi: 10.1001/archneur.1979.00500420070009.
Other Identifiers
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2161984
Identifier Type: -
Identifier Source: org_study_id