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User-Independent Detection for Freezing of Gait in Parkinson's Disease Using Random Forest Classification 基于随机森林分类的帕金森病步态冻结用户独立检测
Research Anthology on Diagnosing and Treating Neurocognitive Disorders Pub Date : 2019-01-01 DOI: 10.4018/IJBDAH.2019010105
Amruta Meshram, B. Rai
{"title":"User-Independent Detection for Freezing of Gait in Parkinson's Disease Using Random Forest Classification","authors":"Amruta Meshram, B. Rai","doi":"10.4018/IJBDAH.2019010105","DOIUrl":"https://doi.org/10.4018/IJBDAH.2019010105","url":null,"abstract":"Freezing of gait (FOG) is a gait impairment which occurs in Parkinson's disease (PD) patients. As PD progresses, the patient is unable to perform locomotion normally. This increases the risk of falls and adversely affects the patient's quality of life. In this article, a user-independent method has been proposed to detect FOG events in PD patients. The proposed method is divided into three phases. Phase-1 extracts the statistical features from a FOG dataset. Phase-2 divides the data into two clusters based on FOG events. Phase-3 selects significant factors, using a randomized block design with replication. A Random Forest model is built using a combination of significant factors obtained from the design of experiments. The proposed method classifies FOG events with an average sensitivity up to 94.33% and specificity up to 92.77%. This model can be integrated along with non-pharmaceutical treatments to generate sensory-motor feedback at the onset of a FOG event.","PeriodicalId":230045,"journal":{"name":"Research Anthology on Diagnosing and Treating Neurocognitive Disorders","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133250013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
QSAR and QAAR Studies on Mixtures of 3-(Benzylidene)Indolin-2-One Isomers as Leads to Develop PET Radiotracers for Detection of Parkinson's Disease 3-(苄基)吲哚-2- 1异构体的QSAR和QAAR研究用于开发帕金森病的PET示踪剂
Research Anthology on Diagnosing and Treating Neurocognitive Disorders Pub Date : 2018-07-01 DOI: 10.4018/IJQSPR.2018070107
S. Bhayye, A. Saha
{"title":"QSAR and QAAR Studies on Mixtures of 3-(Benzylidene)Indolin-2-One Isomers as Leads to Develop PET Radiotracers for Detection of Parkinson's Disease","authors":"S. Bhayye, A. Saha","doi":"10.4018/IJQSPR.2018070107","DOIUrl":"https://doi.org/10.4018/IJQSPR.2018070107","url":null,"abstract":"Deposition of α–synuclein, tau and β–amyloid protein plaques in brain leads to neurodegeneration. A series of indolin derivatives, which can bind to α–synuclein and detect Parkinson's disease (PD), were used for development of QSAR and QAAR models. It is the first attempt of QSAR for any radiotracer agents used for detection of PD. The binding affinity against α–synuclein was used as dependent variable while independent variables, such as structural, topological, E-state keys, electronic, molecular shape analysis and spatial molecular descriptors were used for QSAR modeling. For QAAR modeling, the binding affinities of molecules for tau and β–amyloid along with different molecular descriptors were used as independent variables. All models were successfully developed using multiple linear regression method, and validated internally and externally, based on different standard criteria. This article describes how the derived models postulate that conformation of molecules and presence of unsaturated hydrocarbon chains, nitro, methoxy and amine functionalities play an important role in determining binding affinity.","PeriodicalId":230045,"journal":{"name":"Research Anthology on Diagnosing and Treating Neurocognitive Disorders","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126542232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Monitoring System for Persons With Alzheimer's Disease via Video-Object Tracking 基于视频对象跟踪的阿尔茨海默病患者监测系统
Research Anthology on Diagnosing and Treating Neurocognitive Disorders Pub Date : 2018-07-01 DOI: 10.4018/IJMDWTFE.2018070102
Haitham Al-Anssari, I. Abdel-Qader, M. Mickus
{"title":"Monitoring System for Persons With Alzheimer's Disease via Video-Object Tracking","authors":"Haitham Al-Anssari, I. Abdel-Qader, M. Mickus","doi":"10.4018/IJMDWTFE.2018070102","DOIUrl":"https://doi.org/10.4018/IJMDWTFE.2018070102","url":null,"abstract":"This article presents a framework for a food intake monitoring system intended for use with persons with Alzheimer's disease and other dementias. Alzheimer's disease has a significant impact on the individual's ability to perform their daily activities including eating. Providing assistance with feeding is a major challenge for caregivers, including a significant time commitment. We present a vision-based system that tracks moving objects, such as the hand, using a combined optical flow and skin region detection algorithms. Skin detection is implemented using two different methods. Hue, saturation, and value (HSV) color space, which is on separation of the illuminance component from chrominance one as the first method and skin color information is extracted from subject's face detected using Viola-Johns algorithm for the second method. Once face and other moving skin regions are detected, bounding boxes are created and used to track all moving regions over the video frames, recognizing eating behavior or the lack of it. Based on experimental results the proposed method using optical flow and skin regions segmentation using HSV color detects the hand to mouth eating motion with 92.12% accuracy. The optical flow and skin region segmentation based on face color information achieves a higher accuracy of 94.29%.","PeriodicalId":230045,"journal":{"name":"Research Anthology on Diagnosing and Treating Neurocognitive Disorders","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129629038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Amyloid Beta β淀粉样蛋白
Research Anthology on Diagnosing and Treating Neurocognitive Disorders Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-5282-6.CH011
A. Anand, N. Sharma, M. Gulati, N. Khurana
{"title":"Amyloid Beta","authors":"A. Anand, N. Sharma, M. Gulati, N. Khurana","doi":"10.4018/978-1-5225-5282-6.CH011","DOIUrl":"https://doi.org/10.4018/978-1-5225-5282-6.CH011","url":null,"abstract":"Alzheimer's disease (AD), exhibiting accumulation of amyloid beta (Aβ) peptide as a foremost protagonist, is one of the top five causes of deaths. It is a neurodegenerative disorder (ND) that causes a progressive decline in memory and cognitive abilities. It is characterized by deposition of Aβ plaques and neurofibrillary tangles (NFTs) in the neurons, which in turn causes a decline in the brain acetylcholine levels. Aβ hypothesis is the most accepted hypothesis pertaining to the pathogenesis of AD. Amyloid Precursor Protein (APP) is constitutively present in brain and it is cleaved by three proteolytic enzymes (i.e., alpha, beta, and gamma secretases). Beta and gamma secretases cleave APP to form Aβ. Ubiquitin Proteasome System (UPS) is involved in the clearing of Aβ plaques. AD also involves impairment in UPS. The novel disease-modifying approaches involve inhibition of beta and gamma secretases. A number of clinical trials are going on worldwide with moieties targeting beta and gamma secretases. This chapter deals with an overview of APP and its enzymatic cleavage leading to AD.","PeriodicalId":230045,"journal":{"name":"Research Anthology on Diagnosing and Treating Neurocognitive Disorders","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116713051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 51
Electroencephalogram Signal Analysis in Alzheimer's Disease Early Detection 脑电图信号分析在阿尔茨海默病早期检测中的应用
Research Anthology on Diagnosing and Treating Neurocognitive Disorders Pub Date : 1900-01-01 DOI: 10.4018/IJRQEH.2018010104
P. Rodrigues, D. Freitas, João Paulo Teixeira, Dílio Alves, C. Garrett
{"title":"Electroencephalogram Signal Analysis in Alzheimer's Disease Early Detection","authors":"P. Rodrigues, D. Freitas, João Paulo Teixeira, Dílio Alves, C. Garrett","doi":"10.4018/IJRQEH.2018010104","DOIUrl":"https://doi.org/10.4018/IJRQEH.2018010104","url":null,"abstract":"The World's health systems are now facing a global problem known as Alzheimer's disease (AD) that mainly affects the elderly. The goal of this work is to perform a classification methodology skilled with Artificial Neural Networks (ANN) to improve the discrimination accuracy amongst patients at AD different stages comparatively to the state-of-art. For that, several study features that characterized the Electroencephalogram (EEG) signals “slow-down” were extracted and presented to the ANN entries in order to classify the dataset. The classification results achieved in the present work are promising concerning AD early diagnosis and they show that EEG can be a good tool for AD detection (Controls (C) vs AD: accuracy 95%; C vs Mild-cognitive Impairment (MCI): accuracy 77%; MCI vs AD: accuracy 83%; All vs All: accuracy 90%).","PeriodicalId":230045,"journal":{"name":"Research Anthology on Diagnosing and Treating Neurocognitive Disorders","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114960243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Deep Learning in Early Detection of Alzheimer's 深度学习在老年痴呆症早期检测中的应用
Research Anthology on Diagnosing and Treating Neurocognitive Disorders Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-7862-8.CH009
A. S. Pillai, B. Menon
{"title":"Deep Learning in Early Detection of Alzheimer's","authors":"A. S. Pillai, B. Menon","doi":"10.4018/978-1-5225-7862-8.CH009","DOIUrl":"https://doi.org/10.4018/978-1-5225-7862-8.CH009","url":null,"abstract":"Advancement in technology has paved the way for the growth of big data. We are able to exploit this data to a great extent as the costs of collecting, storing, and analyzing a large volume of data have plummeted considerably. There is an exponential increase in the amount of health-related data being generated by smart devices. Requisite for proper mining of the data for knowledge discovery and therapeutic product development is very essential. The expanding field of big data analytics is playing a vital role in healthcare practices and research. A large number of people are being affected by Alzheimer's Disease (AD), and as a result, it becomes very challenging for the family members to handle these individuals. The objective of this chapter is to highlight how deep learning can be used for the early diagnosis of AD and present the outcomes of research studies of both neurologists and computer scientists. The chapter gives introduction to big data, deep learning, AD, biomarkers, and brain images and concludes by suggesting blood biomarker as an ideal solution for early detection of AD.","PeriodicalId":230045,"journal":{"name":"Research Anthology on Diagnosing and Treating Neurocognitive Disorders","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128300970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Cognitive Functions in the Geriatric Population 老年人群的认知功能
Research Anthology on Diagnosing and Treating Neurocognitive Disorders Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-3480-8.CH006
Shivani Sharma, A. Nehra
{"title":"Cognitive Functions in the Geriatric Population","authors":"Shivani Sharma, A. Nehra","doi":"10.4018/978-1-5225-3480-8.CH006","DOIUrl":"https://doi.org/10.4018/978-1-5225-3480-8.CH006","url":null,"abstract":"This chapter describes how one of the challenging issues of clinical diagnosis is distinguishing between the cognitive deficits manifested in normal aging, depression, mild cognitive impairment (MCI) and dementia. The diagnostic challenge is that there is a great deal of overlap in the symptom constellations of these conditions. It is thus important to establish conceptual and clinical criteria with sufficient predictive validity to accurately identify differences and similarities in cognitive states to justify initiation of appropriate treatments.","PeriodicalId":230045,"journal":{"name":"Research Anthology on Diagnosing and Treating Neurocognitive Disorders","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123457052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Assessment of Cognitive-Communicative Functions in Persons With Mild Cognitive Impairment and Dementia of Alzheimer's Type 轻度认知障碍和阿尔茨海默氏型痴呆患者认知交际功能的评估
Research Anthology on Diagnosing and Treating Neurocognitive Disorders Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-4955-0.CH014
R. Varghese, S. Goswami
{"title":"Assessment of Cognitive-Communicative Functions in Persons With Mild Cognitive Impairment and Dementia of Alzheimer's Type","authors":"R. Varghese, S. Goswami","doi":"10.4018/978-1-5225-4955-0.CH014","DOIUrl":"https://doi.org/10.4018/978-1-5225-4955-0.CH014","url":null,"abstract":"According to world population prospects data report, older individuals, especially those aged 60 years and above, have increased substantially over the recent year, which is going to accelerate in the coming decades. The most common problems the aging population faces are dementia of the Alzheimer's type (DAT) and mild cognitive impairment (MCI). Assessment of cognitive-communicative markers is essential for persons with MCI and DAT. Furthermore, it can help in the differential diagnosis of DAT and MCI. Proper assessment by speech-language pathologists is warranted in this area as it will throw light on the differential diagnosis of MCI and DAT, the clinical description of the characteristics between the two clinical groups, the prognosis for improved outcomes, recommendations for intervention and support, and referral for other professionals for assessments or services.","PeriodicalId":230045,"journal":{"name":"Research Anthology on Diagnosing and Treating Neurocognitive Disorders","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132000990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Environmental Aspects of Alzheimer's and Parkinson's Diseases Neuropathologies 阿尔茨海默病和帕金森病的环境因素
Research Anthology on Diagnosing and Treating Neurocognitive Disorders Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-7775-1.CH012
Nadia Zouhairi, O. E. Hiba, Hasna Lahouaoui, Hind Benammi, H. Chatoui, A. E. Got, A. Aimrane, A. Bitar, K. Kahime, A. Draoui, Ouassil El Kherchi, Wafa Ait Hmyed
{"title":"Environmental Aspects of Alzheimer's and Parkinson's Diseases Neuropathologies","authors":"Nadia Zouhairi, O. E. Hiba, Hasna Lahouaoui, Hind Benammi, H. Chatoui, A. E. Got, A. Aimrane, A. Bitar, K. Kahime, A. Draoui, Ouassil El Kherchi, Wafa Ait Hmyed","doi":"10.4018/978-1-5225-7775-1.CH012","DOIUrl":"https://doi.org/10.4018/978-1-5225-7775-1.CH012","url":null,"abstract":"This chapter presents a literature review on the effect of environmental changes factors exposure in the etiology of Alzheimer's and Parkinson's diseases. The use of pesticides is more intense and somehow erratic as it aims to face climate change consequences like drought and water scarcity. The rural population is getting to be more vulnerable to have these neurodegenerative diseases. However, intense food production and economic models mean also the use of heavy metals in many stages as well during the production and the consumption processes and practices. Evidence from experimental studies shows that such heavy metals may also be a factor for the occurrence of Parkinson's and Alzheimer's diseases. At least, the environmental lifestyle and, likely, genetic factors, individually and collectively, play a significant role in the etiology of the diseases.","PeriodicalId":230045,"journal":{"name":"Research Anthology on Diagnosing and Treating Neurocognitive Disorders","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132118110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
MSDC-0160 and MSDC-0602 Binding with Human Mitochondrial Pyruvate Carrier (MPC) 1 and 2 Heterodimer MSDC-0160和MSDC-0602与人线粒体丙酮酸载体(MPC) 1和2异源二聚体的结合
Research Anthology on Diagnosing and Treating Neurocognitive Disorders Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-3441-0.ch022
C. Phelix, Allen K. Bourdon, Jason L. Dugan, G. Villareal, George Perry
{"title":"MSDC-0160 and MSDC-0602 Binding with Human Mitochondrial Pyruvate Carrier (MPC) 1 and 2 Heterodimer","authors":"C. Phelix, Allen K. Bourdon, Jason L. Dugan, G. Villareal, George Perry","doi":"10.4018/978-1-7998-3441-0.ch022","DOIUrl":"https://doi.org/10.4018/978-1-7998-3441-0.ch022","url":null,"abstract":"The mitochondrial pyruvate carrier (MPC) is a novel target for therapeutic drugs to treat Alzheimer's and Parkinson's disease, diabetes mellitus, and non-alcoholic steatohepatitis (NASH). Metabolic Solutions Development Company (MSDC) has two thiazolidinediones, MSDC-0160 and MSDC-0602, in the pipeline. This report describes results for a MPC1/2 heterodimer homology model. The FASTA sequences for MPC1 and MPC2 were accessed from UniProt and submitted to RaptorX, resulting in best candidate monomeric “protein data base” files for each. One mutant form of MPC1, L36I, was also processed. These were submitted to PyDock to generate best candidate MPC1/2 heterodimer models that were used for ligand docking analyses with AutoDock Vina and “Rosetta Online Server that Includes Everyone” (ROSIE). Multiple binding sites for pyruvate and both drugs were found on both MPC1 and MPC2 subunits with drugs having nearly double the affinity in each case except the intermediate and open-in states for the L36I mutant transporter.","PeriodicalId":230045,"journal":{"name":"Research Anthology on Diagnosing and Treating Neurocognitive Disorders","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132311774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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