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Alzheimer Disease Detection Techniques and Methods: A Review

Sitara Afzal, Muazzam Maqsood, Umair Khan, Irfan Mehmood, Hina Nawaz, Farhan Aadil, Oh-Young Song, Yunyoung Nam
2021 International Journal of Interactive Multimedia and Artificial Intelligence  
Here is the review study of Alzheimer's disease based on Neuroimaging and cognitive impairment classification.  ...  Brain pathological changes linked with Alzheimer's disease (AD) can be measured with Neuroimaging.  ...  For the classification of patients with Alzheimer's Disease, the early applications of support vector machines to neuroimaging data were mainly meant to translating the mental state of Normal or healthy  ... 
doi:10.9781/ijimai.2021.04.005 fatcat:yklogr5wefei7e247dmjdrosum

On the early diagnosis of Alzheimer's Disease from multimodal signals: A survey

Ane Alberdi, Asier Aztiria, Adrian Basarab
2016 Artificial Intelligence in Medicine  
Introduction: The number of Alzheimer's Disease (AD) patients is increasing with increased life expectancy and 115.4 million people are expected to be affected in 2050.  ...  Objective: An automatic, continuous and unobtrusive early AD detection method would be required to improve patients' life quality and avoid big healthcare costs.  ...  Acknowledgements The authors would like to thank the anonymous reviewers for the detailed analysis and helpful comments.  ... 
doi:10.1016/j.artmed.2016.06.003 pmid:27506128 fatcat:eeleugymvfd6vempqgkuxn3xva

Abstracts for the Second International Meeting of the Milan Center for Neuroscience (Neuromi): Prediction and Prevention of Dementia: New Hope (Milan, July 6–8, 2016)

2016 Journal of Alzheimer's Disease  
Results: Subjects with any type of dementia (D) had higher ORO scores in PBMCs than controls (C). ORO score did not signifi cantly differ between AD, MD and VD.  ...  Nineteen patients with a diagnosis of rhizarthrosis and nineteen healthy subjects participated in the study.  ...  A relationship between the traumatic event and NCD is suggested. Subjects with NCD had poorer functional outcomes at discharge.  ... 
doi:10.3233/jad-169002 pmid:27341014 fatcat:accgaph5uzalzevbhb7bumvvmy

Machine Learning-Based Multimodel Computing for Medical Imaging for Classification and Detection of Alzheimer Disease

Fatemah H. Alghamedy, Muhammad Shafiq, Lijuan Liu, Affan Yasin, Rehan Ali Khan, Hussien Sobahi Mohammed, Amandeep Kaur
2022 Computational Intelligence and Neuroscience  
In spite of the fact that this method makes it simpler to differentiate between signal and noise, the images still include a significant amount of graininess.  ...  Memory loss is the first indication of Alzheimer's disease, but as the disease progresses and more brain cells die, additional symptoms arise.  ...  A technique based on machine learning that was developed by Long et al. can differentiate between patients suffering from moderate cognitive impairment (MCI) and healthy older persons.  ... 
doi:10.1155/2022/9211477 pmid:35990121 pmcid:PMC9391119 fatcat:r3ne7vu5arhcbetqq73wvsmyz4

Alzheimer's Disease Diagnosis Based on Cognitive Methods in Virtual Environments and Emotions Analysis [article]

Juan Manuel Fernández Montenegro
2018 arXiv   pre-print
Early detection of AD is considered of high importance for improving the quality of life of patients and their families.  ...  Alzheimer's Disease (AD) is the most common dementia affecting cognitive domains such as memory and learning, perceptual-motion or executive function.  ...  Results Participants The twenty participants of this test are aged between 23 and 82 years old including both healthy people and Alzheimer's patients diagnosed with mild dementia less than a year ago  ... 
arXiv:1810.10941v1 fatcat:lrqvy6gqkvhszkxffxbq5iyut4

Final Program, Abstracts Presented at the Thirty–Fifth Annual International Neuropsychological Society Conference, February 7–10, Portland, Oregon, USA

2007 Journal of the International Neuropsychological Society  
The role of disease variables, age, and depression proneness in predicting depression in MS patients.  ...  Objective: To examine the differences in disease variables, age, depression proneness, and reported depression between relapsing remitting and secondary progressive MS patients.  ...  It was also significant in predicting dementia of the Alzheimer's type but was not included in the discriminant function, while age and apo e4 status was included in the function.  ... 
doi:10.1017/s1355617707079969 fatcat:hyqc3ut5ybg3rnk6shatuylham

Final Program, The 2012 International Neuropsychological Society Mid-Year Meeting/11th Nordic Meeting in Neuropsychology June 27–30, 2012 Oslo, Norway

2012 Journal of the International Neuropsychological Society  
The symposium will include four talks that describe some of the current approaches to understanding and alleviating ADHD in adult life, combining research techniques and paradigms both from cognitive neuroscience  ...  Invited Symposium: Adult ADHD -a Multifaceted Approach to Assessment and Intervention Co-Chairs: Liisa Klenberg, Laura Hokkanen 8:30-10:00 a.m. L. HOKKANEN, M. LAASONEN, P. HELENIUS & J. WASSERSTEIN.  ...  Results: We found that a patient with bilateral lesion around CoS demonstrated marked impairment of texture naming and discrimination, with shape discrimination preserved.  ... 
doi:10.1017/s1355617712001063 fatcat:hvqdxc6a5jb6rfbhapoem4q72i

Final Program, Thirty-Sixth Annual Meeting International Neuropsychological Society, February 6-9, 2008, Waikoloa, Hawaii, USA

2008 Journal of the International Neuropsychological Society  
C Co on nc cl lu us si io on ns s: : A novel mental motor imagery task discriminated normal subjects from subjects with pain; furthermore, the task differentiated between groups of subjects defined by  ...  investigate patterns of functional connectivity between the posterior cingulate (PC) and the rest of the brain in subjects with mild cognitive impairment (MCI) and Alzheimer's disease (AD).  ...  Dementia patients (n = 68) and healthy controls subjects (n = 20) were also included for comparison.  ... 
doi:10.1017/s1355617708080429 fatcat:7cinmclodjdjdfwakkdssx2iiy

Abstracts Presented at the Thirty–Third Annual International Neuropsychological Society Conference, February 2–5, 2005, St. Louis, Missouri, USA

2005 Journal of the International Neuropsychological Society  
Early experience with this technique has shown dramatic increased uptake of tracer in subjects with Alzheimer's disease compared to subjects without dementia.  ...  Subjects consisted of SCID diagnosed inpatients with BD manic or mixed type and healthy comparison subjects.  ...  E-mail: Terpsicore@msn.com Studies have suggested a link between the ApoE ε4 allele and odor identification deficits in both healthy elderly subjects and patients with Alzheimer's disease.  ... 
doi:10.1017/s1355617705059916 fatcat:qu62kn3sqfgnlhda5oxtruv5wq

Radiological images and machine learning: Trends, perspectives, and prospects

Zhenwei Zhang, Ervin Sejdić
2019 Computers in Biology and Medicine  
The applications of machine learning are the key ingredients of future clinical decision making and monitoring systems.  ...  By giving insight on how take advantage of machine learning powered applications, we expect that clinicians can prevent and diagnose diseases more accurately and efficiently.  ...  The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.  ... 
doi:10.1016/j.compbiomed.2019.02.017 pmid:31054502 pmcid:PMC6531364 fatcat:tcyorm6g3ff6dg7ty2ubtqorjq

Final Program, The International Neuropsychological Society, Federation of Spanish Societies of Neuropsychology, Spanish Neuropsychological Society, Spanish Psychiatry Society Joint Mid-Year Meeting, July 4-7, 2007 Bilbao, Spain

2007 Journal of the International Neuropsychological Society  
(MCI) patients and 11 healthy control subjects.  ...  The aim of the present study was to analyse the usefulness of the 15OT to assess visual agnosia in preclinical and mild Alzheimer's disease (AD).  ...  to discriminate between mild cognitive impairment (MCI) and mild Alzheimer's disease (AD).  ... 
doi:10.1017/s1355617707071408 fatcat:ecyaxaxu6jf4pkcc3wdaxqiirm

Final Program, Thirty-Seventh Annual Meeting International Neuropsychological Society

2009 Journal of the International Neuropsychological Society  
efforts of new measures of cognitive/neuropsychological functioning including memory (Patricia Bauer), executive functioning and language (Beth Borosh), and working memory and processing speed (Noelle  ...  The lack of uniformity between measures make it difficult to compare results across NIH-funded studies.  ...  profiles of asymptomatic first-degree relatives of patients with Alzheimer's disease (AD) and at identifying early cognitive markers of AD.  ... 
doi:10.1017/s1355617709090420 fatcat:plmt5kh37vaebhhkowx5e54wqu

Machine Learning and Deep Learning Approaches for Brain Disease Diagnosis: Principles and Recent Advances

Protima Khan, Md. Fazlul Kader, S. M. Riazul Islam, Aisha B. Rahman, Md. Shahriar Kamal, Masbah Uddin Toha, Kyung-Sup Kwak
2021 IEEE Access  
Brain is the controlling center of our body. With the advent of time, newer and newer brain diseases are being discovered.  ...  Detection of brain diseases at an early stage can make a huge difference in attempting to cure them.  ...  between the clinical, cognitive, imaging, genetic, and biochemical biomarker characteristics of AD.  ... 
doi:10.1109/access.2021.3062484 fatcat:lmhp34ad3zdexb5y4bt5ksntia

Final Program, Fortieth Annual Meeting International Neuropsychological Society February 15–18, 2012 Montréal, Québec, Canada

2012 Journal of the International Neuropsychological Society  
In this symposium a panel of neuropsychologists will provide direction and insights towards developing a program of sustained externally funded research.  ...  The symposium is geared towards students with a focus on the unique challenges faced by junior investigators.  ...  dictation, rhyme, immediate memory for digits in forward order and digit naming speed, 50% in sound discrimination, immediate memory for digits in order indirect, visual memory and speed of picture naming  ... 
doi:10.1017/s1355617712000537 fatcat:4p2fkgxxzna3vcf3uxxgac6rsi

Final Program, The 2011 International Neuropsychological Society Mid-Year Meeting/ASSBI 4th Pacific Rim Conference

2011 Journal of the International Neuropsychological Society  
Participants and Methods: Twenty-six patients with a diagnosis of MND (13 with co-existing FTD [FTD-MND] and 13 without dementia), 13 matched FTD patients and 28 age-matched, healthy controls completed  ...  Aim of the study was to compare features of dual task performance in patients with TBI and healthy subjects.  ...  We describe the study characteristics, including sample size, patient population, type of attention targeted, study duration and type of intervention.  ... 
doi:10.1017/s1355617711001184 fatcat:xsutr4jzvfhndcfwjzk7elfeny
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