Literature DB >> 31007436

Assessment of Neurodegeneration by Optical Coherence Tomography and Mini-Mental Test in Parkinson's Disease.

Demet Yıldız1, Nilüfer Büyükkoyuncu Pekel1, Neslihan Parmak Yener2, Meral Seferoğlu1, Aygül Günes1, Deniz Sığırlı3.   

Abstract

BACKGROUND: Parkinson's disease is a neurodegenerative disease. Cognitive disorders and retinal degeneration may occur during the early stages of the disease. Retinal degeneration and cognitive findings can be assessed easily with optical coherence tomography and mini-mental test, respectively.
MATERIALS AND METHODS: Twenty-two patients who are being followed-up with Parkinson's disease and 22 healthy controls have been included in the study. The Unified Parkinson's Disease Rating Scale (UPDRS) and Hoehn-Yahr staging of the patients have been conducted at the time of admission. Retinal nerve fiber layer analysis and ganglion cell thickness (ganglion cell complexes [GCCs]) were evaluated through optical coherence tomography (OCT). And at the same time, we aimed to compare the stage of the disease, the UPDRS score and the duration of the disease with OCT and cognitive functions by mini-mental test.
RESULTS: Mini-mental test total score value (P = 0.025) and language value (P = 0.021) were lower in the patient group compared to the control group. In patients, there is a reverse significant correlation between UPDRS-T and GCC-left-superior (r = -0.495; P = 0.026), GCC-left-inferior (r = -0.517; P = 0.019), and GCC-left-to (r = -0.508; P = 0.022). There is a significant parallel relation between recall and RFNL-right-mean (r = 0.626; P = 0.039).
CONCLUSION: Our findings indicate that the neurodegeneration continues multisystemically and neurodegeneration increases simultaneously with the disease. OCT, which is a noninvasive method, can be used as an indicator of neurodegeneration in patients with Parkinson's disease.

Entities:  

Keywords:  Choroidal thickness; Parkinson's disease; optical coherence tomography

Year:  2019        PMID: 31007436      PMCID: PMC6472223          DOI: 10.4103/aian.AIAN_424_17

Source DB:  PubMed          Journal:  Ann Indian Acad Neurol        ISSN: 0972-2327            Impact factor:   1.383


INTRODUCTION

Parkinson's disease is the second most common disease among central neurodegenerative diseases and is characterized by loss of dopaminergic neurons in the central nervous system.[1] It has been shown in studies that Parkinson's disease is a neurodegenerative disease and affects many parts of the brain such as smelling, mental functions, and many systems, including the intestinal system before the typical symptoms of the disease develops.[23] Dopamine is also a major neurotransmitter in the retina as well as in motor function.[4] Dopamine is also important in controlling the efficacy of other neurochemical systems such as gamma-aminobutyric acid and glycine and glutamate in the retina. It is possible that the decreased dopaminergic inputs in ganglion cells contribute to the abnormal production of glutamate and the atrophy of the nerve fibers. In Parkinson's disease, dopamine dysfunction has been shown in the retina as well, as in the basal ganglia.[5] PD patients have some specific visual impairments such as color vision and contrast sensitivity (CS) and difficulties in complex visual tasks.[6] In our study, we aimed to evaluate the retinal nerve fiber layer analysis (RNFL) and ganglion cell complexes (GCCs) by optical coherence tomography (OCT) and cognitive functions with mini–mental state examination (MMSE) which may be markers of neurodegeneration in Parkinson's disease and to examine the relationship between these parameters and the duration and the stage of the disease.

MATERIALS AND METHODS

Twenty-two patients who are being followed-up with Parkinson's disease in neurology outpatient clinic between January 2016 and August 2016 and 22 healthy controls have been included in the study. A detailed eye examination including visual acuity, intraocular pressure (İOP) measurement, biomicroscopic examination, and dilated fundus examination were performed for all participants. Patients whose best-corrected visual acuity (BVAC) is 0.5 or more measured by Snellen chart, whose İOP is 21 or less, with no >3 spherical >5 cylindrical deficiency, who do not have any opacity that inhibit OCT measurement in cornea or lens, without any retinal disease (macular degeneration, diabetic retinopathy, etc.), optic nerve disease (glaucoma, optic neuropathy, etc.), and who have no eye trauma or surgical history were included in the study. Fourier-Domain OCT, an ultra-high-resolution OCT device, (RTVue-XR Avanti; Optovue Inc., Fremont, CA, USA) was used to measure retinal parameters. This system operates at 840 nm wavelength and has an axial scanning speed of 70,000/s and a resolution of 5 μm. With this device, GCC thickness measurements could be obtained as well as the RNFL thickness measurement. It was possible to distinguish the inner three layers of the retina (the nerve fiber layer, the ganglion cell layer, and the inner plexiform layer in the normal retinal layer using the “GCC” scanning protocol. In the measurement of RNFL, a circular section with a diameter of 3.45 mm was used as a standard and the mean nerve thickness and measurements of the upper and lower nasal and temporal quadrants were taken in microns. In GCC measurements, three thickness parameters; mean GCC and lower and upper quadrant measurements, were taken in microns. OCT measurements were performed after pupil dilatation was ensured with 1% tropicamide by the same physician and measurements with a signal strength indicator > 50 were considered as reliable and used for analysis. The diagnosis of Parkinson's disease was made according to the criteria of the UK Parkinson's Disease Society Brain Bank. The patients were scaled using the Unified Parkinson's Disease Rating Scale (UPDRS) and Hoehn–Yahr staging (HYS) by a neurology specialist. HYS was used for staging and UPDRS was used for clinical level of seriousness. UPDRS comprises four main parts, in which the mental status, daily living activities, motor functions, and treatment complications of the patients are assessed. Totally, 42 items of the test are assessed by scoring them between 0 and 4. High score indicates bad state. The HYS Scale is a staging system in which the severity of the patient's disease and the progression can be assessed.[7]

Mini–mental test

This is a short, useful, and standardized test that is frequently used all over the world in assessing the global cognitive level. The test comprises 11 items which are grouped under five main titles, namely, orientation, recording memory, attention and calculation, recall, and language are evaluated over the total score of 30. It was published for the first time in 1975 by Folstein et al.[8] The validity and reliability study for educated people in Turkish society was conducted by Güngen et al.in 2002, and the validity and reliability study for the uneducated and illiterate people was conducted by Yıldız et al. in 2015. In both studies, it was determined that MMSE was a valid and reliable test for the Turkish population, with an ideal threshold value of 23/24 for mild dementia diagnosis.[9] In addition, we aimed to investigate the effect of the UPDRS score and the duration of the disease on OCT and MMSE values. All participants signed informed consent. The study was approved by the local ethics committee in Bursa Training and Research Hospital and was conducted in accordance with the Declaration of Helsinki.

RESULTS

The mean age of the 44 participants included in the study was 66.48 ± 6.26 years and 21 (47.7%) of them were female and 23 (52.3%) of them were male. Patient and the control group were similar regarding their demographic characteristics [Table 1]. According to HYS, 68.2% of the patients were stage 1, 13.6% were stage 2, and 18.2% were stage 3. Mini–mental test total (MMTT) value (P = 0.025) and language value (P = 0.021) was lower in the patient group compared to the control group [Table 2]. OCD measurements were not different between groups [Table 3]. However, in patients, there is a reverse significant correlation between UPDRS-T and GCC-left-s (r = −0.495; P = 0.026), GCC-left-i (r = −0.517; P = 0.019), and GCC-left-to (r = −0.508; P = 0.022). There is a significant parallel relation between Recall and RNFL-right-tot (r = 0.626; P = 0.039).
Table 1

Comparison of patient characteristics between patient and control groups

VariablePatient (n=22)Control (n=22)P
Age (year)#67.50 (55/79)64 (57/81)0.090
Gender&, n (%)
 Female12 (54.5)9 (40.9)0.365
 Male10 (45.5)13 (59.1)
Weight*79.14±15.7978.86±12.030.949
Height*163.73±8.60166.05±8.150.364
Marital status&, n (%)
 117 (77.3)19 (86.4)0.698
 25 (22.7)3 (13.6)
Tea&, n (%)
 Drinks16 (72.7)19 (86.4)0.457
 Does not drink6 (27.3)3 (13.6)
Coffee&, n (%)
 Drinks11 (50)11 (50)1.000
 Does not drink11 (50)11 (50)
Education&, n (%)
 02 (9.1)3 (13.6)0.318
 116 (72.7)10 (45.5)
 23 (13.6)7 (31.8)
 31 (4.5)2 (9.1)
HT&, n (%)
 010 (45.5)14 (63.6)0.226
 112 (54.5)8 (36.4)
DM&, n (%)
 016 (72.7)20 (90.9)0.240
 16 (27.3)2 (9.1)

HT=Hypertension, DM=Diabetes mellitus, #=Median (minimum/maximum), *=Mean ± standard deviation, &=n(%)

Table 2

Comparison of the mini-mental test results of the patients between patient and control groups

VariablePatient (n=22)Control (n=22)P
MMTT#26 (18/30)27 (26/30)0.025
Orientation#9 (8/10)10 (8/10)0.110
Attention#5 (0/5)5 (2/5)0.494
Recall#2 (0/5)2 (1/5)0.869
Language#7 (4/9)8 (6/9)0.021

MMTT=Mini–mental test total, #=Median (minimum-maximum) values

Table 3

Comparison of the optical coherence tomography measurements between the patient and control groups

VariablePatient (n=22)Control (n=22)P
rnflrights*122.42±30.91118.59±16.920.697
rnflrighti*126.17±22.00124.64±17.620.826
rnflrightn#85.5 (60/146)76 (33/185)0.606
rnflrightte*71.75±14.2172.95±15.430.825
rnflrighttot*102.92±19.72101.64±15.840.838
rnfllefts*124.60±23.53121.58±13.620.642
rnfllefti#127 (101/157)125 (105/159)0.918
rnflleftn#80 (21/105)81 (61/130)0.973
rnflleftte#77 (48/122)67 (52/123)0.202
rnfllefttot#102 (70/192)97 (82/119)0.632
gclrights#91.96 (42.87/112.29)92.05 (64.90/107.84)0.435
gclrighti#94.15 (45.51/109.64)94.23 (71.00/114.78)0.339
gclrightto#94.01 (46.03/109.82)93.49 (67.95/111.21)0.378
gcllefts#93.45 (59.39/108.13)92.94 (82.63/111.52)0.762
gcllefti#95.91 (51.21/107.93)95.97 (83.67/117.32)0.534
gclleftto#95.41 (59.21/108.02)93.73 (83.14/114.44)0.851

Rnfl=Retinal nerve fiber layer analysis, gcl=Ganglion cell thickness s=Superior, i=Inferior, te=Temporal, *=Mean ± standard deviation, #=Median (minimum/maximum)

Comparison of patient characteristics between patient and control groups HT=Hypertension, DM=Diabetes mellitus, #=Median (minimum/maximum), *=Mean ± standard deviation, &=n(%) Comparison of the mini-mental test results of the patients between patient and control groups MMTT=Mini–mental test total, #=Median (minimum-maximum) values Comparison of the optical coherence tomography measurements between the patient and control groups Rnfl=Retinal nerve fiber layer analysis, gcl=Ganglion cell thickness s=Superior, i=Inferior, te=Temporal, *=Mean ± standard deviation, #=Median (minimum/maximum)

Statistical methods used

The Shapiro–Wilk test was used to check whether the data are normally distributed. In comparison of two independent groups, Independent sample t-test was used for data that have normal distribution, and Mann–Whitney U test was used for data that have nonnormal distribution. Variables that met the normal distribution criteria are given with mean ± standard deviation and those that did not meet the criteria are given with median (minimum/maximum) values. The Pearson Chi-square test and the Fisher exact test were used to compare the categorical variables and were given as n and percentage values. Relations between the variables were examined by Spearman correlation coefficient. α was considered to be 0.05. Statistical analyzes were carried out in the IBM SPSS Statistics 21 program (IBM SPSS, Chicago, IL).

DISCUSSION

In our study, no statistically significant differences were found between the control group and the Parkinson group in the RNFL analyzes and GCC evaluated using OCT. In an OCT study carried out by Inzelberg et al. on patients with Parkinson's disease, they found thinning within the inferotemporal area in the Parkinson group.[4] Moschos et al.[7] has found differences in RNFL thickness of Parkinson's patients, particularly in the inferior and temporal quadrants. In our study, the reason of not having a significant difference in the RNFL in the Parkinson group may be due to the low number of samples and due to the fact that 68.2% of the patients with Parkinson's disease were in Stage 1 according to HYS. In a study comparing 17 PD and 11 controls, carried out by Altintaş et al., it was found out that the mean RFNL thickness decreased significantly, being prominent in the total macular volume and superior quadrant when compared to the control group. There was an inverse correlation between UPDRS total score and motor scores and the mean total macular volume.[10] In a study with 61 Parkinson patients and 30 healthy controls, a significant parafoveal inner nuclear layer thinning was detected in the Parkinson group. However, no differences were observed in other retinal layers, including the RNFLretinal nerve fiber layer, and total macular thickness. In terms of visual hallucinations, only the thickness of the RNFL varied between the PD subgroups, while the total macula thickness and thickness of the other retinal layers were not different. The RNFL was detected to be the thinnest within the group with hallucinations with no dementia, and the group that was indicating hallucinations with dementia followed that one, and the nonhallucinating nondementia group followed the latter. There was no significant correlation detected between the retinal thicknesses and duration or severity of PD and drug doses. The results indicated that thinning of the RNFL may be associated with visual hallucinations in patients with PD and no dementia.[11] In another study, no difference was found between PD and controls in RNFL thickness, similar to our study. A negative correlation was detected between right nasal superior quadrant RNFL and central macular thickness and the UPDRS motor scores. The outer retinal layer was found to be thinner in PD patients in the right nasal quadrant and right inferior quadrant.[12] In another study with 153 PD and 242 controls, all the macular parameters except RNFL parameters and fovea thickness showed significant differences between controls and patients. HY scores showed significant and inverse correlation with all the macular parameters measured by OCT and with the RNFL thickness.[13] In our study, similar to the literature, there was a significant correlation between the UPDRS-Total score and ganglion cell thickness, which is a more sensitive method than retinal nerve thickness. In another study, the mean RNFL thickness was found to be decreased in PD in all quadrants. There was a negative correlation between RNFL thickness and UPDRS score and the duration of the disease. In this study, it was argued that measuring OCT and RNFL thickness could be a successful biomarker in early detection of disease and in the progression of the disease.[14] In a study in which the profiles of visual impairment of mild-to-moderate PD patients without dementia and their association with motor and cognitive dysfunction were examined, 76 mild-to-moderate PD patients were compared with 116 controls. The participants were evaluated in terms of visual acuity, CS, processing and visual speed of attention, spatial and emotional perception, visual and verbal memory, executive functions, depression, and motor functions. Inadequacy of visual attention and the spatial perception was found to be correlated with deterioration in cognitive function. There were correlations observed between visual speed tests of processing and attention, spatial and motional perception, deterioration in visual structural and executive functions, and the postural stability and walking difficulty.[15] Although the majority of our patients were at the early stage of the Parkinson's disease, the MMTT value and the language value in the mini–mental test were lower in the patient group than in the control group. In our study, a parallel significant correlation was observed between the recall section of the mini–mental test and the thickness of the right retinal nerve fiber. This finding indicated that neurodegeneration in Parkinson's disease affects many parts of the brain simultaneously.

CONCLUSION

In our study, the negative correlation between UPDRS score and ganglion cell amount and the relationship between MMSE recall modalities and RNFL indicate that the neurodegeneration continues multisystemically and neurodegeneration increases simultaneously with the disease. The noninvasive method, OCT, can be used as an indicator regarding the development of dementia. There is a need for larger scaled follow-up studies indicating that other systems are influenced simultaneously as well, and in which the examination mechanism of the RNFL is brought into the light.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.
  15 in total

1.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician.

Authors:  M F Folstein; S E Folstein; P R McHugh
Journal:  J Psychiatr Res       Date:  1975-11       Impact factor: 4.791

Review 2.  Staging of the intracerebral inclusion body pathology associated with idiopathic Parkinson's disease (preclinical and clinical stages).

Authors:  Heiko Braak; Kelly Del Tredici; Hansjürgen Bratzke; John Hamm-Clement; Daniele Sandmann-Keil; Udo Rüb
Journal:  J Neurol       Date:  2002-10       Impact factor: 4.849

3.  Visual dysfunction in Parkinson disease without dementia.

Authors:  E Y Uc; M Rizzo; S W Anderson; S Qian; R L Rodnitzky; J D Dawson
Journal:  Neurology       Date:  2005-11-09       Impact factor: 9.910

4.  Gastric alpha-synuclein immunoreactive inclusions in Meissner's and Auerbach's plexuses in cases staged for Parkinson's disease-related brain pathology.

Authors:  Heiko Braak; Rob A I de Vos; Jürgen Bohl; Kelly Del Tredici
Journal:  Neurosci Lett       Date:  2005-12-05       Impact factor: 3.046

5.  Correlation between retinal morphological and functional findings and clinical severity in Parkinson's disease.

Authors:  Ozgül Altintaş; Pervin Işeri; Berna Ozkan; Yusuf Cağlar
Journal:  Doc Ophthalmol       Date:  2007-10-26       Impact factor: 2.379

Review 6.  Non-motor symptoms of Parkinson's disease: diagnosis and management.

Authors:  K Ray Chaudhuri; Daniel G Healy; Anthony H V Schapira
Journal:  Lancet Neurol       Date:  2006-03       Impact factor: 44.182

7.  [Reliability and validity of the standardized Mini Mental State Examination in the diagnosis of mild dementia in Turkish population].

Authors:  Can Güngen; Turan Ertan; Engin Eker; Resmiye Yaşar; Funda Engin
Journal:  Turk Psikiyatri Derg       Date:  2002

8.  Morphologic changes and functional retinal impairment in patients with Parkinson disease without visual loss.

Authors:  Marilita M Moschos; Georgios Tagaris; Ioannis Markopoulos; Ioannis Margetis; Stylianos Tsapakis; Menelaos Kanakis; Chrysanthi Koutsandrea
Journal:  Eur J Ophthalmol       Date:  2011 Jan-Feb       Impact factor: 2.597

9.  Retinal nerve fiber layer thickness and visual hallucinations in Parkinson's Disease.

Authors:  Jee-Young Lee; Jae Min Kim; Jeeyun Ahn; Han-Joon Kim; Beom S Jeon; Tae Wan Kim
Journal:  Mov Disord       Date:  2013-06-17       Impact factor: 10.338

10.  Retinal nerve fiber layer thinning in Parkinson disease.

Authors:  Rivka Inzelberg; Jose Antonio Ramirez; Puiu Nisipeanu; Avinoam Ophir
Journal:  Vision Res       Date:  2004-11       Impact factor: 1.886

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  2 in total

1.  Retinal Nerve Fiber Layer Thickness and Associations With Cognitive Impairment in Parkinson's Disease.

Authors:  Zihan Chang; Fen Xie; Hualing Li; Feilan Yuan; Lina Zeng; Lin Shi; Shuzhen Zhu; Xiaohe Lu; Xiaobo Wei; Qing Wang
Journal:  Front Aging Neurosci       Date:  2022-02-10       Impact factor: 5.750

2.  Retinal Microvascular Density Was Associated With the Clinical Progression of Parkinson's Disease.

Authors:  Bei Xu; Xin Wang; Jifeng Guo; Huizhuo Xu; Beisha Tang; Bin Jiao; Lu Shen
Journal:  Front Aging Neurosci       Date:  2022-02-17       Impact factor: 5.750

  2 in total

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