scholarly journals Hierarchical Boosting Dual-Stage Feature Reduction Ensemble Model for Parkinson’s Disease Speech Data

Diagnostics ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2312
Author(s):  
Mingyao Yang ◽  
Jie Ma ◽  
Pin Wang ◽  
Zhiyong Huang ◽  
Yongming Li ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Small Sample ◽  
Feature Reduction ◽  
Ensemble Model ◽  
High Quality ◽  
Speech Data ◽  
Dual Stage ◽  
Instance Space ◽  
Quality Features

As a neurodegenerative disease, Parkinson’s disease (PD) is hard to identify at the early stage, while using speech data to build a machine learning diagnosis model has proved effective in its early diagnosis. However, speech data show high degrees of redundancy, repetition, and unnecessary noise, which influence the accuracy of diagnosis results. Although feature reduction (FR) could alleviate this issue, the traditional FR is one-sided (traditional feature extraction could construct high-quality features without feature preference, while traditional feature selection could achieve feature preference but could not construct high-quality features). To address this issue, the Hierarchical Boosting Dual-Stage Feature Reduction Ensemble Model (HBD-SFREM) is proposed in this paper. The major contributions of HBD-SFREM are as follows: (1) The instance space of the deep hierarchy is built by an iterative deep extraction mechanism. (2) The manifold features extraction method embeds the nearest neighbor feature preference method to form the dual-stage feature reduction pair. (3) The dual-stage feature reduction pair is iteratively performed by the AdaBoost mechanism to obtain instances features with higher quality, thus achieving a substantial improvement in model recognition accuracy. (4) The deep hierarchy instance space is integrated into the original instance space to improve the generalization of the algorithm. Three PD speech datasets and a self-collected dataset are used to test HBD-SFREM in this paper. Compared with other FR algorithms and deep learning algorithms, the accuracy of HBD-SFREM in PD speech recognition is improved significantly and would not be affected by a small sample dataset. Thus, HBD-SFREM could give a reference for other related studies.

scholarly journals Weighted Hybrid Feature Reduction Embedded with Ensemble Learning for Speech Data of Parkinson’s Disease

Mathematics ◽  
2021 ◽  
Vol 9 (24) ◽  
pp. 3172
Author(s):  
Zeeshan Hameed ◽  
Waheed Ur Rehman ◽  
Wakeel Khan ◽  
Nasim Ullah ◽  
Fahad R. Albogamy
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Ensemble Learning ◽  
Neurodegenerative Disorder ◽  
Small Sample Size ◽  
Small Sample ◽  
Feature Reduction ◽  
Speech Data ◽  
Boosting Method ◽  
The Stability

Parkinson’s disease (PD) is a progressive and long-term neurodegenerative disorder of the central nervous system. It has been studied that 90% of the PD subjects have voice impairments which are some of the vital characteristics of PD patients and have been widely used for diagnostic purposes. However, the curse of dimensionality, high aliasing, redundancy, and small sample size in PD speech data bring great challenges to classify PD objects. Feature reduction can efficiently solve these issues. However, existing feature reduction algorithms ignore high aliasing, noise, and the stability of algorithms, and thus fail to give substantial classification accuracy. To mitigate these problems, this study proposes a weighted hybrid feature reduction embedded with ensemble learning technique which comprises (1) hybrid feature reduction technique that increases inter-class variance, reduces intra-class variance, preserves the neighborhood structure of data, and remove co-related features that causes high aliasing and noise in classification. (2) Weighted-boosting method to train the model precisely. (3) Furthermore, the stability of the algorithm is enhanced by introducing a bagging strategy. The experiments were performed on three different datasets including two widely used datasets and a dataset provided by Southwest Hospital (Army Military Medical University) Chongqing, China. The experimental results indicated that compared with existing feature reduction methods, the proposed algorithm always shows the highest accuracy, precision, recall, and G-mean for speech data of PD. Moreover, the proposed algorithm not only shows excellent performance for classification but also deals with imbalanced data precisely and achieved the highest AUC in most of the cases. In addition, compared with state-of-the-art algorithms, the proposed method shows improvement up to 4.53%. In the future, this algorithm can be used for early and differential diagnoses, which are rated as challenging tasks.

Expanding OT's Role in the Mental Health Treatment of Parkinson's Disease Through High-Quality Online Education

2021 ◽  
Vol 75 (Supplement_2) ◽  
pp. 7512500009p1-7512500009p1
Author(s):  
Sarah A. Zurawski ◽  
Kristen A. Pickett ◽  
Maria Widmer
Keyword(s):  
Mental Health ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Online Education ◽  
Mental Health Treatment ◽  
Mental Health Needs ◽  
Learning Program ◽  
High Quality ◽  
Capstone Project

Abstract Date Presented 04/12/21 OT has been specifically called upon to improve the quality of care of people with Parkinson's disease (PD). This capstone project is a response to this call. A two-module online learning program was designed to address the gap between knowledge and current best practices in the treatment of mental health concerns associated with PD. The results suggest that high-quality online training is an effective way to teach OTs to better address the mental health needs of people with PD. Primary Author and Speaker: Sarah A. Zurawski; Contributing Authors: Wendy Coster, Gael Orsmond

scholarly journals Role of MicroRNAs in Parkinson’s Disease

2019 ◽  
Vol 20 (22) ◽  
pp. 5649 ◽  
Author(s):  
Suh Yee Goh ◽  
Yin Xia Chao ◽  
Shaikali Thameem Dheen ◽  
Eng-King Tan ◽  
Samuel Sam-Wah Tay
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Small Sample Size ◽  
Small Sample ◽  
Biological Molecules ◽  
Incomplete Penetrance ◽  
Cellular Functions ◽  
Druggable Targets ◽  
The Brain

Parkinson’s disease (PD) is a disabling neurodegenerative disease that manifests with resting tremor, bradykinesia, rigidity and postural instability. Since the discovery of microRNAs (miRNAs) in 1993, miRNAs have been shown to be important biological molecules involved in diverse processes to maintain normal cellular functions. Over the past decade, many studies have reported dysregulation of miRNA expressions in PD. Here, we identified 15 miRNAs from 34 reported screening studies that demonstrated dysregulation in the brain and/or neuronal models, cerebrospinal fluid (CSF) and blood. Specific miRNAs-of-interest that have been implicated in PD pathogenesis include miR-30, miR-29, let-7, miR-485 and miR-26. However, there are several challenges and limitations in drawing definitive conclusions due to the small sample size in clinical studies, varied laboratory techniques and methodologies and their incomplete penetrance of the blood–brain barrier. Developing an optimal delivery system and unravelling druggable targets of miRNAs in both experimental and human models and clinical validation of the results may pave way for novel therapeutics in PD.

scholarly journals Cognitive Rehabilitation for Executive Dysfunction in Parkinson's Disease: Application and Current Directions

2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Jessica Calleo ◽  
Cristina Burrows ◽  
Harvey Levin ◽  
Laura Marsh ◽  
Eugene Lai ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Dysfunction ◽  
Cognitive Skills ◽  
Cognitive Rehabilitation ◽  
Small Sample ◽  
Behavioral Approach ◽  
Rehabilitation Programs

Cognitive dysfunction in Parkinson's disease contributes to disability, caregiver strain, and diminished quality of life. Cognitive rehabilitation, a behavioral approach to improve cognitive skills, has potential as a treatment option to improve and maintain cognitive skills and increase quality of life for those with Parkinson's disease-related cognitive dysfunction. Four cognitive rehabilitation programs in individuals with PD are identified from the literature. Characteristics of the programs and outcomes are reviewed and critiqued. Current studies on cognitive rehabilitation in PD demonstrate feasibility and acceptability of a cognitive rehabilitation program for patients with PD, but are limited by their small sample size and data regarding generalization of effects over the long term. Because PD involves progressive heterogeneous physical, neurological, and affective difficulties, future cognitive rehabilitation programs should aim for flexibility and individualization, according to each patient's strengths and deficits.

scholarly journals Genetic Analysis of LRRK2 R1628P in Parkinson’s Disease in Asian Populations

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Yuan Zhang ◽  
Qiying Sun ◽  
Minhan Yi ◽  
Xun Zhou ◽  
Jifeng Guo ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Risk Factor ◽  
Chinese Population ◽  
Genetic Factors ◽  
Meta Analysis ◽  
Asian Population ◽  
High Quality ◽  
Asian Populations ◽  
Risk Variants

Although the etiology of Parkinson’s disease (PD) remains unclear, there is increasing evidence of genetic factors contributing to the onset of PD. Various mutations and risk variants of the gene LRRK2 have been reported, but the association between LRRK2 R1628P and PD is still inconsistent. Thus, we conducted a meta-analysis to determine the potential relationship between R1628P and PD. Our study sample was an aggregate of 17 publications, which in total consisted of 9,275 PD patients and 8,114 controls. All of these articles are of high quality according to NOS, and there was no obvious reporting bias or heterogeneity. In a general Asian population, the pooled OR of the risk genotype contrasts was 1.83 (95% CI: 1.57, 2.13). When stratified by ethnicity, the pooled ORs were 1.84 (95% CI: 1.56, 2.18) in a Chinese population and 1.79 (95% CI: 1.27, 2.52) in a non-Chinese population. Our study suggests that LRRK2 R1628P appears to be a risk factor for PD in Asian populations, both Chinese and non-Chinese.

scholarly journals Acupuncture-Related Therapies for Parkinson's Disease: A Meta-Analysis and Qualitative Review

2021 ◽  
Vol 13 ◽  
Author(s):  
Xiaopeng Wen ◽  
Kunbin Li ◽  
Hao Wen ◽  
Qian Wang ◽  
Zhiyuan Wu ◽  
...  
Keyword(s):  
Systematic Review ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Rating Scale ◽  
Meta Analysis ◽  
Risk Of Bias ◽  
Cochrane Library ◽  
Hamilton Depression Scale ◽  
High Quality ◽  
Conventional Medication

Objective: This systematic review and meta-analysis aimed to assess the effects of the combination of acupuncture-related therapies with conventional medication compared with conventional medication in patients with Parkinson's disease (PD).Methods: A literature search within eight databases [including Medline, Embase, the Cochrane Library, PubMed, China National Knowledge Infrastructure (CNKI), China Biology Medicine (CBM), VIP, and Wanfang Database] was performed covering a time frame from their inception to August 2020. Randomized controlled trials (RCTs) comparing acupuncture-related therapies combined with conventional medication vs. conventional medication in patients with PD were eligible. Two authors independently assessed the risk of bias. Assessments were performed with the total and subscales scores of the Unified Parkinson's Disease Rating Scale (UPDRS), 39-item Parkinson's Disease Questionnaire (PDQ-39), the dosage of Madopar, Mini-Mental State Examination (MMSE), and 17-item Hamilton Depression Scale (HAMD). Data were analyzed by adopting the Cochrane Collaboration's RevMan 5.4 (Review Man, Copenhagen, Denmark); and mean effect sizes and 95% confidence intervals were estimated. Tests for heterogeneity were used to assess differences in treatment effects across different types of acupuncture used.Results: Sixty-six trials met the inclusion criteria, of which 61 trials provided data for the meta-analysis. We defined high-quality articles as those with a low risk of bias in four or more domains; and only 10 (15.15%) articles were of high quality. Compared with the controls, acupuncture-related therapies with conventional medication achieved a benefit in the primary outcomes of UPDRS (motor subscore: −3.90, −4.33 to −3.49, P < 0.01; total score: −7.37 points, −8.91 to −5.82, P < 0.001; activities of daily living subscore: −3.96, −4.96 to −2.95, P < 0.01). For the subgroup difference test among the effects of different acupuncture methods, significant differences existed in outcomes with the UPDRS-III, UPDRS-I, UPDRS-IV, and PDQ-39 scores and Madopar dosage, while non-significant differences existed with the UPDRS-total, UPDRS-II, HAMD, and MMSE scores.Conclusions: Acupuncture-related therapies combined with conventional medication may benefit individuals with PD. Our review findings should be considered with caution because of the methodological weaknesses in the included trials. Future, large randomized trials of acupuncture-related therapies for PD with high methodological quality are warranted.Systematic Review Registration: Identifier CRD42021228110.

scholarly journals Analysis of the Factors That Affect the Quality of Life of Patients with Parkinson's Disease in the Clinic of Neurology of the Hospital Royal Prima Medan 2019

2021 ◽  
Vol 8 (8) ◽  
pp. 176-181
Author(s):  
M Dwiky Yunarko ◽  
Linda Chiuman ◽  
Sri Wahyuni Nasution
Keyword(s):  
Quality Of Life ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
General Hospital ◽  
Social Relations ◽  
National Institutes Of Health ◽  
High Quality ◽  
Factors Affecting

An estimated 50,000 Americans are diagnosed with Parkinson's disease each year, according to the National Institutes of Health, and around one million Americans have the condition. To find out the analysis of the factors that influence the quality of life of Parkinson's sufferers at the Neurology Polyclinic at The Royal Prima Hospital in 2019. There is a relationship between age and quality of life and social relations of patients with Parkinson's in the Neurology Polyclinic of The Royal Prima Hospital in 2019. There is no relationship between gender and stadium of Parkinson's disease with the quality of life of patients with Parkinson's in the Neurology Polyclinic of The Royal Prima Hospital in 2019 in Medan. It is expected that the Hospital must continue to pay attention and improve in order to create quality and high-quality services at The Royal Prima General Hospital, Medan, especially regarding the factors that affect the quality of life of Parkinson's sufferers. Keywords: Factors Affecting the Quality of Life of Parkinson's Patients.

scholarly journals Genetic Analysis with Feature Reduction to Predict the Onset of Parkinson’s disease

2020 ◽  
Vol 9 (10) ◽  
pp. 12-16
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Feature Reduction ◽  
Reduction Techniques ◽  
Parkinson’S Diseases ◽  
Efficient Prediction ◽  
Primary Focus ◽  
The Voice ◽  
The Brain ◽  
Optimal Feature

Parkinson is a disease which directly affects the brain cells and certain movement, voice and other disabilities. Hence curable medication is not available in market. The best solution is the early diagnosis to relieve the symptoms of Parkinson’s disease affected people. One major concern effecting public is Parkinson's disease (PD). This paper studies the bias of various traditional algorithms on the voice-based data that has various parameters recorded from Parkinson patients and healthy patients. A brief survey of techniques are mentioned for the prediction of Parkinson's diseases is presented. To accomplish this task, identifying the best feature reduction approach was the primary focus. This paper further applies feature reduction techniques using a genetic algorithm for efficient prediction of Parkinson's disease along with machine learning-based approaches. The proposed method also presents higher accuracy in prediction by using this optimal feature reduction technique.

scholarly journals Gambling Habits of People With Parkinson’s Disease: An Exploratory Study

2017 ◽  
Author(s):  
Dominic Nadeau ◽  
Isabelle Giroux ◽  
Martine Simard ◽  
Christian Jacques ◽  
Nicolas Dupré
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Impulse Control ◽  
Small Sample Size ◽  
Structured Interview ◽  
Small Sample ◽  
Slot Machines ◽  
Gambling Problem ◽  
Maladie De Parkinson ◽  
Gambling Activities

The development of pathological gambling (PG) among people with Parkinson’s disease (PD) is increasingly reported. The intake of dopamine agonists is most often associated with the emergence of this addiction. Although it is known that gambling habits contribute to the onset of gambling problems in the general population, these habits have not yet been studied in individuals with PD. Thus, this study aimed to explore gambling habits in people with PD. Twenty-five individuals with PD and 8 caregivers participated. Thirteen gamblers took part in a semi-structured interview regarding their gambling habits and the presence of a gambling problem and other impulse-control disorders. The results show that gamblers mainly play lotteries and slot machines. Most gamble for pleasure, but some reported wanting to win money to finance a cure for their PD. None of the gamblers involved a caregiver in their gambling activities and no gambler currently presented a gambling problem. However, 2 at-risk gamblers reported having developed a gambling problem in the past. This study sheds light on factors that may contribute to the development of PG among patients with PD, namely, the emergence of new reasons for gambling after a PD diagnosis, erroneous beliefs about gambling, and discretion about gambling habits. Prevention strategies are discussed in view of these results. However, given the small sample size, further studies examining the gambling habits of people with PD are required.RésuméDe plus en plus, on observe le développement du jeu pathologique (JP) chez les personnes atteintes de la maladie de Parkinson (MP). La prise d’agonistes de la dopamine est le plus souvent associée à l’émergence de cette dépendance. Bien qu’il soit connu que les habitudes de jeu contribuent à l’apparition de problèmes de jeu dans la population en général, ces habitudes n’ont pas encore été étudiées chez les personnes atteintes de la maladie de Parkinson (MP). Dans cette optique, cette étude explore les habitudes de jeu chez les personnes atteintes de la MP. Vingt-cinq personnes atteintes de la maladie de Parkinson et huit soignants y ont participé. Treize joueurs ont participé à une entrevue semi-structurée concernant leurs habitudes de jeu et la présence d’un problème de jeu et d’autres troubles liés au contrôle des impulsions. Les résultats montrent que les joueurs jouent principalement aux loteries et aux machines à sous. La plupart jouent par plaisir, mais certains ont déclaré vouloir gagner de l’argent pour financer une thérapie contre la maladie. Aucun des joueurs n’avait avec lui un fournisseur de soins dans ses activités de jeu et aucun joueur ne présentait actuellement de problème de jeu. Cependant, deux joueurs à risque ont déclaré en avoir développé un par le passé. Cette étude met en lumière les facteurs qui peuvent contribuer au développement du jeu pathologique chez les personnes atteintes de Parkinson, à savoir l’émergence de nouvelles raisons pour le jeu après un diagnostic de MP, les croyances erronées sur le jeu et la discrétion sur les habitudes de jeu. Compte tenu de ces résultats, des stratégies de prévention sont analysées. Cependant, étant donné la petite taille de l’échantillon, d’autres études examinant les habitudes de jeu des personnes atteintes de cette maladie sont nécessaires.

scholarly journals Spatial RNA Sequencing Identifies Robust Markers of Vulnerable and Resistant Human Midbrain Dopamine Neurons and Their Expression in Parkinson’s Disease

2021 ◽  
Vol 14 ◽  
Author(s):  
Julio Aguila ◽  
Shangli Cheng ◽  
Nigel Kee ◽  
Ming Cao ◽  
Menghan Wang ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Small Sample ◽  
Dopamine Neurons ◽  
Substantia Nigra Pars Compacta ◽  
Minimal Sample ◽  
Differential Vulnerability ◽  
Minimal Sample Size ◽  
Midbrain Dopamine ◽  
Small Sample Sizes

Defining transcriptional profiles of substantia nigra pars compacta (SNc) and ventral tegmental area (VTA) dopamine neurons is critical to understanding their differential vulnerability in Parkinson’s Disease (PD). Here, we determine transcriptomes of human SNc and VTA dopamine neurons using LCM-seq on a large sample cohort. We apply a bootstrapping strategy as sample input to DESeq2 and identify 33 stably differentially expressed genes (DEGs) between these two subpopulations. We also compute a minimal sample size for identification of stable DEGs, which highlights why previous reported profiles from small sample sizes display extensive variability. Network analysis reveal gene interactions unique to each subpopulation and highlight differences in regulation of mitochondrial stability, apoptosis, neuronal survival, cytoskeleton regulation, extracellular matrix modulation as well as synapse integrity, which could explain the relative resilience of VTA dopamine neurons. Analysis of PD tissues showed that while identified stable DEGs can distinguish the subpopulations also in disease, the SNc markers SLIT1 and ATP2A3 were down-regulated and thus appears to be biomarkers of disease. In summary, our study identifies human SNc and VTA marker profiles, which will be instrumental for studies aiming to modulate dopamine neuron resilience and to validate cell identity of stem cell-derived dopamine neurons.

Sign in / Sign up

Export Citation Format

Share Document