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Research Anthology on Diagnosing and Treating Neurocognitive Disorders最新文献

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Early Detection of Electroencephalogram Temporal Events in Alzheimer's Disease 阿尔茨海默病脑电图时间事件的早期检测
Research Anthology on Diagnosing and Treating Neurocognitive Disorders Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-1724-5.CH007
P. Rodrigues, D. Freitas, João Paulo Teixeira, Dílio Alves, C. Garrett
{"title":"Early Detection of Electroencephalogram Temporal Events in Alzheimer's Disease","authors":"P. Rodrigues, D. Freitas, João Paulo Teixeira, Dílio Alves, C. Garrett","doi":"10.4018/978-1-5225-1724-5.CH007","DOIUrl":"https://doi.org/10.4018/978-1-5225-1724-5.CH007","url":null,"abstract":"Alzheimer's Disease (AD) is considered one of the most debilitating illness in modern societies and the leading cause of dementia. This study is a new approach to detect early AD Electroencephalogram (EEG) temporal events in order to improve early AD diagnosis. For that, Self-Organized Maps (SOM) were used, and it was found that there are sequences of EEG energy variation, characteristic of AD, that appear with high incidence in Mild Cognitive Impairment (MCI) patients. Those AD events are related to the first cognitive changes in patients that interfered with the normal EEG signal pattern. Moreover, there are significant differences concerning the propagation time of those events between the study groups(p=0.0082<0.05), meaning that, as AD progresses the brain dynamics are progressively affected, what is expected because AD causes brain atrophy.","PeriodicalId":230045,"journal":{"name":"Research Anthology on Diagnosing and Treating Neurocognitive Disorders","volume":"43 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":"123272766","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
Dementia 痴呆
Research Anthology on Diagnosing and Treating Neurocognitive Disorders Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-3441-0.ch027
S. Mukherjee
{"title":"Dementia","authors":"S. Mukherjee","doi":"10.4018/978-1-7998-3441-0.ch027","DOIUrl":"https://doi.org/10.4018/978-1-7998-3441-0.ch027","url":null,"abstract":"The high global prevalence, economic impact of dementia on families, caregivers, and communities, and the associated stigma and social exclusion present dementia as a significant public health challenge. Global as well as Indian data confirms a greater vulnerability of the women patients than their male counterparts. The global health community has recognized the need for action and to place dementia and its care and support services on the public health agenda. Dementia imposes significant physical, mental, and financial stress on caregivers who, again, often are women. In this context, the chapter aims to use capability approach and the concept of “disability paradox” to project dementia as a capability deprivation situation and through comparative analysis of various care models proposes a comprehensive economic care model and plan of action for a developing country like India to ensure dignified quality living for dementia patients and their caregivers.","PeriodicalId":230045,"journal":{"name":"Research Anthology on Diagnosing and Treating Neurocognitive Disorders","volume":"1 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":"129542833","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
Assessment of Gait Disorder in Parkinson's Disease 帕金森病步态障碍的评估
Research Anthology on Diagnosing and Treating Neurocognitive Disorders Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-8567-1.CH007
Divya Govindaraju, G. Nagarajan, Paramasivam Alagumariappan
{"title":"Assessment of Gait Disorder in Parkinson's Disease","authors":"Divya Govindaraju, G. Nagarajan, Paramasivam Alagumariappan","doi":"10.4018/978-1-5225-8567-1.CH007","DOIUrl":"https://doi.org/10.4018/978-1-5225-8567-1.CH007","url":null,"abstract":"Neurological disorders are some of the leading chronic disorders that impose a massive burden on low-income and developing countries. The disability resulting from the neurological disorder increases the severity and costs during the primary healthcare and for entire lifetime. Parkinson's disease (PD) is the second most common chronic neurodegenerative disorder which is slowly progressive with decrease in the motor and non-motor function of the nervous system due to cognitive impairment leading to gait abnormality. PD is most common in the age group of 40-65years leading to increase in gait disorders associated with slowing down of the movement, balance instability, rigidness in the muscles, and difficulty in performing everyday tasks. The assessment of gait plays a significant role in maintaining the balance disorders in Parkinson's disease. In patients with PD, the neurons present in substantia nigra region of the brain get injured, and they progressively decline during their lifetime. Therefore, the patients lose their ability to perform movement and also lose their stability. The symptoms of PD can be monitored and controlled by assessing gait parameters based on gait disorder.","PeriodicalId":230045,"journal":{"name":"Research Anthology on Diagnosing and Treating Neurocognitive Disorders","volume":"6 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":"128062945","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: 3
Tremor Identification Using Machine Learning in Parkinson's Disease 机器学习在帕金森病中的震颤识别
Research Anthology on Diagnosing and Treating Neurocognitive Disorders Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-8567-1.CH008
Angana Saikia, Vinayak Majhi, Masaraf Hussain, S. Paul, A. Datta
{"title":"Tremor Identification Using Machine Learning in Parkinson's Disease","authors":"Angana Saikia, Vinayak Majhi, Masaraf Hussain, S. Paul, A. Datta","doi":"10.4018/978-1-5225-8567-1.CH008","DOIUrl":"https://doi.org/10.4018/978-1-5225-8567-1.CH008","url":null,"abstract":"Tremor is an involuntary quivering movement or shake. Characteristically occurring at rest, the classic slow, rhythmic tremor of Parkinson's disease (PD) typically starts in one hand, foot, or leg and can eventually affect both sides of the body. The resting tremor of PD can also occur in the jaw, chin, mouth, or tongue. Loss of dopamine leads to the symptoms of Parkinson's disease and may include a tremor. For some people, a tremor might be the first symptom of PD. Various studies have proposed measurable technologies and the analysis of the characteristics of Parkinsonian tremors using different techniques. Various machine-learning algorithms such as a support vector machine (SVM) with three kernels, a discriminant analysis, a random forest, and a kNN algorithm are also used to classify and identify various kinds of tremors. This chapter focuses on an in-depth review on identification and classification of various Parkinsonian tremors using machine learning algorithms.","PeriodicalId":230045,"journal":{"name":"Research Anthology on Diagnosing and Treating Neurocognitive Disorders","volume":"4 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":"123752439","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: 4
Alzheimer's and Parkinson's Disease Novel Therapeutic Target 阿尔茨海默病和帕金森病新的治疗靶点
Research Anthology on Diagnosing and Treating Neurocognitive Disorders Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-3441-0.ch021
Allen K. Bourdon, G. Villareal, George Perry, C. Phelix
{"title":"Alzheimer's and Parkinson's Disease Novel Therapeutic Target","authors":"Allen K. Bourdon, G. Villareal, George Perry, C. Phelix","doi":"10.4018/978-1-7998-3441-0.ch021","DOIUrl":"https://doi.org/10.4018/978-1-7998-3441-0.ch021","url":null,"abstract":"Thiazolidinedione (TZD) drugs (Takeda Pharmaceuticals and Metabolic Solutions Development Company) targeting inhibition of the mitochondrial pyruvate carrier (MPC) are currently being tested in clinical trials to prevent progression into mild cognitive impairment of Alzheimer's disease (AD) or in the pipeline to prevent neurodegeneration in Parkinson's disease (PD). These have Ki values in the µM range. This study was focused on identifying candidate drug precursors of the natural cinnamic acid products that might have good bioavailability in the nM ranges forming covalent thiol bonds with targets. In silico protein homology modeling and ligand docking has demonstrated that binding cysteine residues within the transport channel is a key part of the inhibitory mechanism. These are covalent thiohemiacetal bonds with the alpha-carbon, carboxylate group, off a phenol ring. Like the classic MPC inhibitors, these natural derivatives of hydroxycinnamic acid have a conjugated pi-system used to form thiol bonds with the cysteine residue via Michael addition.","PeriodicalId":230045,"journal":{"name":"Research Anthology on Diagnosing and Treating Neurocognitive Disorders","volume":"16 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":"126755787","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
Analysis of Biomedical Image for Alzheimer's Disease Detection 用于阿尔茨海默病检测的生物医学图像分析
Research Anthology on Diagnosing and Treating Neurocognitive Disorders Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-0066-8.ch012
R. Kumari, Shashank Pushkar
{"title":"Analysis of Biomedical Image for Alzheimer's Disease Detection","authors":"R. Kumari, Shashank Pushkar","doi":"10.4018/978-1-7998-0066-8.ch012","DOIUrl":"https://doi.org/10.4018/978-1-7998-0066-8.ch012","url":null,"abstract":"Image analysis is giving a huge breakthrough in every field of science and technology. The image is just a collection of pixels and light intensity. The image capturing was done in two ways: (1) by using infrared sensors and (2) by using radiography. The normal images are captured by using the infrared sensors. Radiography uses the various forms of a light family, such as x-ray, gamma rays, etc., to capture the image. The study of neuroimaging is one of the challenging research topics in the field of biomedical image processing. So, from this note, the motivation for this work is to analyze 3D images to detect Alzheimer's disease and compare the statistical results of the whole brain image data with standard doctor's results. The authors also provide a very short implementation for brain slicing and feature extraction using Freesurfer and OpenNeuro dataset.","PeriodicalId":230045,"journal":{"name":"Research Anthology on Diagnosing and Treating Neurocognitive Disorders","volume":"8 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":"133282945","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
Neuro-Imaging Machine Learning Techniques for Alzheimer's Disease Diagnosis 阿尔茨海默病诊断的神经成像机器学习技术
Research Anthology on Diagnosing and Treating Neurocognitive Disorders Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-2229-4.CH022
Gehad Ismail Sayed, A. Hassanien
{"title":"Neuro-Imaging Machine Learning Techniques for Alzheimer's Disease Diagnosis","authors":"Gehad Ismail Sayed, A. Hassanien","doi":"10.4018/978-1-5225-2229-4.CH022","DOIUrl":"https://doi.org/10.4018/978-1-5225-2229-4.CH022","url":null,"abstract":"Alzheimer's disease (AD) is considered one of the most common dementia's forms affecting senior's age staring from 65 and over. The standard method for identifying AD are usually based on behavioral, neuropsychological and cognitive tests and sometimes followed by a brain scan. Advanced medical imagining modalities such as MRI and pattern recognition techniques are became good tools for predicting AD. In this chapter, an automatic AD diagnosis system from MRI images based on using machine learning tools is proposed. A bench mark dataset is used to evaluate the performance of the proposed system. The adopted dataset consists of 20 patients for each diagnosis case including cognitive impairment, Alzheimer's disease and normal. Several evaluation measurements are used to evaluate the robustness of the proposed diagnosis system. The experimental results reveal the good performance of the proposed system.","PeriodicalId":230045,"journal":{"name":"Research Anthology on Diagnosing and Treating Neurocognitive Disorders","volume":"25 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":"121489727","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
The Early Diagnosis of Alzheimer's Disease 阿尔茨海默病的早期诊断
Research Anthology on Diagnosing and Treating Neurocognitive Disorders Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-3441-0.ch008
Yanna Ren, Weiping Yang, Xiaoyu Tang, Fengxia Wu, Satoshi Takahashi, Jinglong Wu
{"title":"The Early Diagnosis of Alzheimer's Disease","authors":"Yanna Ren, Weiping Yang, Xiaoyu Tang, Fengxia Wu, Satoshi Takahashi, Jinglong Wu","doi":"10.4018/978-1-7998-3441-0.ch008","DOIUrl":"https://doi.org/10.4018/978-1-7998-3441-0.ch008","url":null,"abstract":"Alzheimer's disease, a common form of dementia, is a type of neurodegenerative disease that affects more than 30% of the population older than 85. Clinically, it is characterized as memory loss and cognitive decline. Pathologically, its symptoms include cerebral atrophy, amyloid plaques and NFTs. Generally, the life expectancy is no more than nine years after the definite diagnosis, and life expectancy exceeds 14 years in only 3% of patients. Presently, there is no effective treatment to stop the process; the only measures we can take are to ease or improve symptoms temporarily. Therefore, it is necessary to diagnosis the disease in the early stage, such as through imaging detection via CT, MRI, PET and MSR, or prediction before the disease (genetic examination). However, literature data have supported the notion that Alzheimer's disease patients show cognitive reserve abilities to some degree. In the future, research perspectives may focus on the cognitive training paradigms in compensatory and restorative strategies.","PeriodicalId":230045,"journal":{"name":"Research Anthology on Diagnosing and Treating Neurocognitive Disorders","volume":"12 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":"127805906","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 Landscape Design for Alzheimer's 阿尔茨海默氏症环境景观设计
Research Anthology on Diagnosing and Treating Neurocognitive Disorders Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-0925-7.CH002
G. Yücel
{"title":"Environmental Landscape Design for Alzheimer's","authors":"G. Yücel","doi":"10.4018/978-1-5225-0925-7.CH002","DOIUrl":"https://doi.org/10.4018/978-1-5225-0925-7.CH002","url":null,"abstract":"People suffering from Alzheimer's may feel anxious or unsettled as a result of these symptoms – in particular the decrease in their cognitive abilities and in their ability to take into account new information or external stimuli – as well from the effects of their medications. Because of their sensitivity, such individuals find it difficult to keep up a positive attitude and remain emotionally stable for long: they experience mood swings, and are unable to keep their negative emotions in check. For this reason, the best practice in treatment is to help them maintain a positive view of their lives and balance their emotions, both personally, in terms of keeping their sense of self, and in social environments, where they have to recognize and interact with others. In this way, good environmental landscape design will have an important role to play in improving their quality of life.","PeriodicalId":230045,"journal":{"name":"Research Anthology on Diagnosing and Treating Neurocognitive Disorders","volume":"2012 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":"123823295","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
Virtual Reality Therapeutic Environments in Autism Spectrum Disorder (ASD) and Alzheimer's 自闭症谱系障碍(ASD)和阿尔茨海默病的虚拟现实治疗环境
Research Anthology on Diagnosing and Treating Neurocognitive Disorders Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-7168-1.CH004
David W. Sime
{"title":"Virtual Reality Therapeutic Environments in Autism Spectrum Disorder (ASD) and Alzheimer's","authors":"David W. Sime","doi":"10.4018/978-1-5225-7168-1.CH004","DOIUrl":"https://doi.org/10.4018/978-1-5225-7168-1.CH004","url":null,"abstract":"This chapter is devoted to observing and analyzing the role of virtual reality environments in the therapeutic treatment, analysis, and ongoing treatment planning of autistic spectrum disorders (ASD), Alzheimer's, and dementia. Using live real-world examples of the above activities in action and a literature review, the chapter will examine the level of empirical data and pre-existing qualitative and quantitative research to support these ongoing approaches. Critical analysis will also be made of the current level of empirical research available highlighting areas that should be focused on for future research.","PeriodicalId":230045,"journal":{"name":"Research Anthology on Diagnosing and Treating Neurocognitive Disorders","volume":"7 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":"126105552","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
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