scholarly journals Screening Patients with Early Stage Parkinson’s Disease Using a Machine Learning Technique: Measuring the Amount of Iron in the Basal Ganglia

2020 ◽  
Vol 10 (23) ◽  
pp. 8732
Author(s):  
Seon Lee ◽  
Se-Hong Oh ◽  
Sun-Won Park ◽  
Chaewon Shin ◽  
Jeehun Kim ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Grey Matter ◽  
Early Stage ◽  
Support Vector ◽  
Motor Symptoms ◽  
Model Based ◽  
Svm Model ◽  
Deep Grey Matter ◽  
Non Motor Symptoms

The purpose of this study was to determine whether a support vector machine (SVM) model based on quantitative susceptibility mapping (QSM) can be used to differentiate iron accumulation in the deep grey matter of early Parkinson’s disease (PD) patients from healthy controls (HC) and Non-Motor Symptoms Scale (NMSS) scores in early PD patients. QSM values on magnetic resonance imaging (MRI) were obtained for 24 early PD patients and 27 age-matched HCs. The mean QSM values in deep grey matter areas were used to construct SVM and logistic regression (LR) models to differentiate between early PD patients and HCs. Additional SVM and LR models were constructed to differentiate between low and high NMSS scores groups. A paired t-test was used to assess the classification results. For the differentiation between early PD patients and HCs, SVM had an accuracy of 0.79 ± 0.07, and LR had an accuracy of 0.73 ± 0.03 (p = 0.027). SVM for NMSS classification had a fairly high accuracy of 0.79 ± 0.03, while LR had 0.76 ± 0.04. An SVM model based on QSM offers competitive accuracy for screening early PD patients and evaluates non-motor symptoms, which may offer clinicians the ability to assess the progression of motor symptoms in the patient population.

Effects of deep brain stimulation on sleep-wake disturbances in patients with Parkinson's disease: A narrative review

2021 ◽  
Vol 19 ◽  
Author(s):  
Yu Jin Jung ◽  
Han-Joon Kim ◽  
Sun Ha Paek ◽  
Beomseok Jeon
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Early Stage ◽  
Motor Symptoms ◽  
Specific Effects ◽  
The Impact ◽  
Non Motor Symptoms ◽  
Deep Brain

: Sleep-wake disturbances (SWD) are one of the most common non-motor symptoms in Parkinson's disease (PD) and can appear in the early stage even before the onset of motor symptoms. Deep brain stimulation (DBS) is an established treatment for the motor symptoms in patients with advanced PD. However, the effect of DBS on SWD and its specific mechanisms are not widely understood and remain controversial. In addition to the circuit-mediated direct effect, DBS may improve SWD by an indirect effect such as the resolution of nocturnal motor complications and a reduction of dopaminergic medication. Here, the authors review the recent literatures regarding the impact of DBS on SWD in patients with PD. Furthermore, the selection of the DBS targets and the specific effects of applying DBS to each target on SWD in PD are also discussed.

scholarly journals Longitudinal evolution of non-motor symptoms in early Parkinson’s disease: a 3-year prospective cohort study

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Ruwei Ou ◽  
Yanbing Hou ◽  
Qianqian Wei ◽  
Junyu Lin ◽  
Kuncheng Liu ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Effect Size ◽  
Rating Scale ◽  
Early Stage ◽  
Chinese Patients ◽  
Sexual Dysfunctions ◽  
Motor Symptoms ◽  
Small Effect Size ◽  
Non Motor Symptoms

AbstractThe progression of global non-motor symptoms (NMS) in Chinese patients with Parkinson’s disease (PD) has not been explored. We aimed to examine the longitudinal evolution of overall NMS in a 3-year prospective Chinese cohort with early-stage PD. We included 224 patients with early PD who underwent annual evaluation of motor and non-motor symptoms. NMS was assessed using the non-motor symptoms scale (NMSS). We observed an increased number of NMS in the majority of the NMSS domains except mood/apathy and sexual dysfunctions. Significant deterioration was observed in the sleep/fatigue, perceptual problems/hallucinations, attention/memory, gastrointestinal, urinary, and miscellaneous domains during the follow-up (P < 0.05). Notably, the number and the score of sexual dysfunctions decreased with the progression of the disease. All NMSS domains showed a small effect size from baseline to 1-, 2-, and 3-year follow-ups (effect size < 0.5). The generalized estimating equations model indicated that the total number of NMS was significantly associated with age and the Unified Parkinson’s Disease Rating Scale (UPDRS) III score (P < 0.05). Multiple logistic regression indicated that a high number of NMS at baseline was associated with a 3-point, a 6-point, and a 9-point increase in the UPDRS III score from baseline to 1-year (odds ratio [OR] 1.074, P = 0.017), 2-year (OR 1.113, P = 0.001), and 3-year (OR 1.117, P < 0.001), respectively. Our study indicated that overall NMS evolution in early PD is mild and multidimensional; a high NMS burden in early PD predicts the faster motor progression of PD. Our study is helpful for understanding the longitudinal evolution of NMS in PD.

scholarly journals Unusual motor and non-motor symptoms and signs in the early stage of Parkinson’s disease

2016 ◽  
Vol 74 (10) ◽  
pp. 781-784 ◽  
Author(s):  
Hélio A. G. Teive ◽  
Délcio C. Bertucci Filho ◽  
Renato P. Munhoz
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Shoulder Pain ◽  
Movement Disorders ◽  
Early Stage ◽  
Color Discrimination ◽  
Motor Symptoms ◽  
Non Motor Symptoms ◽  
Symptoms And Signs

ABSTRACT Objective Patients with Parkinson’s disease (PD) may present with unusual motor and non-motor symptoms and signs in the early stage of the disease. Methods Cases were collected over a five-year period at two tertiary movement disorders clinics. All had a diagnosis of PD with unusual presentations defined retrospectively as the presence of complaints not objectively related to any of the classic cardinal signs of parkinsonism or the typical early non-motor features of PD. Results A total of 15 early PD patients fulfilled the proposed criteria, presenting with symptoms such as atypical tremors, shoulder pain, signs related to the rigid akinetic syndrome, as well as cases of asthenia, rhinorrhea, parosmia, dysgeusia, nocturnal sialorrhea, and color discrimination disorders. Conclusions Unusual motor and non-motor symptoms and signs in the early stage of PD can be difficult to interpret. Specialists should be aware of these conditions as clues to a potential diagnosis.

scholarly journals Monoamine Oxidase-B Inhibitors for the Treatment of Parkinson’s Disease: Past, Present, and Future

2021 ◽  
pp. 1-17
Author(s):  
Yu-Yan Tan ◽  
Peter Jenner ◽  
Sheng-Di Chen
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Monoamine Oxidase ◽  
Early Stage ◽  
Symptomatic Treatment ◽  
Monoamine Oxidase B ◽  
Motor Symptoms ◽  
Mao B ◽  
Advanced Stages ◽  
Non Motor Symptoms

Monoamine oxidase-B (MAO-B) inhibitors are commonly used for the symptomatic treatment of Parkinson’s disease (PD). MAO-B inhibitor monotherapy has been shown to be effective and safe for the treatment of early-stage PD, while MAO-B inhibitors as adjuvant drugs have been widely applied for the treatment of the advanced stages of the illness. MAO-B inhibitors can effectively improve patients’ motor and non-motor symptoms, reduce “OFF” time, and may potentially prevent/delay disease progression. In this review, we discuss the effects of MAO-B inhibitors on motor and non-motor symptoms in PD patients, their mechanism of action, and the future development of MAO-B inhibitor therapy.

scholarly journals Identifying Parkinson’s disease subtypes with motor and non-motor symptoms via model-based multi-partition clustering

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Fernando Rodriguez-Sanchez ◽  
Carmen Rodriguez-Blazquez ◽  
Concha Bielza ◽  
Pedro Larrañaga ◽  
Daniel Weintraub ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Age Of Onset ◽  
Real Life ◽  
Motor Symptoms ◽  
Excessive Sweating ◽  
Model Based ◽  
Disease Subtypes ◽  
Partition Clustering ◽  
Non Motor Symptoms

AbstractIdentification of Parkinson’s disease subtypes may help understand underlying disease mechanisms and provide personalized management. Although clustering methods have been previously used for subtyping, they have reported generic subtypes of limited relevance in real life practice because patients do not always fit into a single category. The aim of this study was to identify new subtypes assuming that patients could be grouped differently according to certain sets of related symptoms. To this purpose, a novel model-based multi-partition clustering method was applied on data from an international, multi-center, cross-sectional study of 402 Parkinson’s disease patients. Both motor and non-motor symptoms were considered. As a result, eight sets of related symptoms were identified. Each of them provided a different way to group patients: impulse control issues, overall non-motor symptoms, presence of dyskinesias and pyschosis, fatigue, axial symptoms and motor fluctuations, autonomic dysfunction, depression, and excessive sweating. Each of these groups could be seen as a subtype of the disease. Significant differences between subtypes (P< 0.01) were found in sex, age, age of onset, disease duration, Hoehn & Yahr stage, and treatment. Independent confirmation of these results could have implications for the clinical management of Parkinson’s disease patients.

scholarly journals Identifying Parkinson’s disease subtypes with motor and non-motor symptoms via model-based multi-partition clustering

2021 ◽  
Author(s):  
Fernando Rodriguez-Sanchez ◽  
Carmen Rodriguez-Blazquez ◽  
Concha Bielza ◽  
Pedro Larrañaga ◽  
Daniel Weintraub ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Age Of Onset ◽  
Real Life ◽  
Motor Symptoms ◽  
Excessive Sweating ◽  
Model Based ◽  
Disease Subtypes ◽  
Partition Clustering ◽  
Non Motor Symptoms

Abstract Identification of Parkinson’s disease subtypes may help understand underlying disease mechanisms and provide personalized management. Although clustering methods have been previously used for subtyping, they have reported generic subtypes of limited relevance in real life practice because patients do not always fit into a single category. The aim of this study was to identify new subtypes assuming that patients could be grouped differently according to certain sets of related symptoms. To this purpose, a novel model-based multi-partition clustering method was applied on data from an international, multi-center, cross-sectional study of 402 Parkinson’s disease patients. Both motor and non-motor symptoms were considered. As a result, eight sets of related symptoms were identified. Each of them provided a different way to group patients: impulse control issues, overall non-motor symptoms, presence of dyskinesias and pyschosis, fatigue, axial symptoms and motor fluctuations, autonomic dysfunction, depression, and excessive sweating. Each of these groups could be seen as a subtype of the disease. Significant differences between subtypes (p < 0.01) were found in sex, age, age of onset, disease duration, and Hoehn & Yahr stage. Independent confirmation of these results could have implications for the clinical management of Parkinson’s disease patients.

scholarly journals Intrinsically photosensitive retinal ganglion cell mediated pupil function is impaired in Parkinson’s disease

2017 ◽  
Author(s):  
Daniel S. Joyce ◽  
Beatrix Feigl ◽  
Graham Kerr ◽  
Luisa Roeder ◽  
Andrew J. Zele
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Rating Scale ◽  
Early Stage ◽  
Motor Symptoms ◽  
Retinal Ganglion ◽  
Cone Photoreceptor ◽  
Pupil Control ◽  
Pupil Light Reflex ◽  
Non Motor Symptoms

AbstractParkinson’s disease is characterised by non-motor symptoms including sleep and circadian disruption, but the underlying aetiology is not well understood. Melanopsin-expressing intrinsically photosensitive Retinal Ganglion Cells (ipRGC) transmit light signals from the eye to brain areas controlling circadian rhythms and the pupil light reflex. Here we evaluate the hypothesis that these non-motor symptoms in people with Parkinson’s disease may be linked to ipRGC dysfunction. Using chromatic pupillometry, we measured intrinsic (melanopsin-mediated) ipRGC and extrinsic (rod/cone photoreceptor-mediated) inputs to the pupil control pathway in a group of optimally medicated participants with a diagnosis of Parkinson’s disease (PD, n = 17) compared to controls (n = 12). Autonomic tone was evaluated by measuring pupillary unrest in darkness. The PD participants underwent additional clinical assessments using the Unified Parkinson’s disease Rating Scale (UPDRS) and the Hoehn and Yahr scale (H&Y).Compared to controls, the PD group demonstrated an attenuated pupil constriction amplitude in response to long wavelength pulsed stimulation, and reduced post-illumination pupil response (PIPR) amplitude in response to both short wavelength pulsed and sinusoidal stimulation. In the PD group, PIPR amplitude did not correlate with measures of sleep quality, retinal nerve fibre layer thickness, UPDRS or H&Y score, or medication dosage. Both groups exhibited similar pupillary unrest in darkness.We show that melanopsin and the rod/cone-photoreceptor contributions to the pupil control pathway are impaired in people with early-stage Parkinson’s disease. Given that the deficits are independent of clinical assessment severity and are observed despite optimal medication, the melanopsin-mediated PIPR may be a biomarker for the detection of Parkinson’s disease and its continued monitoring in both medicated and unmedicated individuals.

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