scholarly journals A Low-Cost Three-Dimensional DenseNet Neural Network for Alzheimer’s Disease Early Discovery

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1302
Author(s):  
Braulio Solano-Rojas ◽  
Ricardo Villalón-Fonseca
Keyword(s):  
Neural Network ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Elderly Population ◽  
Operating Characteristic ◽  
Low Cost ◽  
Characteristic Curve ◽  
Three Dimensional ◽  
The Elderly ◽  
Disease Stages

Alzheimer’s disease is the most prevalent dementia among the elderly population. Early detection is critical because it can help with future planning for those potentially affected. This paper uses a three-dimensional DenseNet architecture to detect Alzheimer’s disease in magnetic resonance imaging. Our work is restricted to the use of freely available tools. We constructed a deep neural network classifier with metrics of 0.86¯ mean accuracy, 0.86¯ mean sensitivity (micro-average), 0.86¯ mean specificity (micro-average), and 0.91¯ area under the receiver operating characteristic curve (micro-average) for the task of discriminating between five different disease stages or classes. The use of tools available for free ensures the reproducibility of the study and the applicability of the classification system in developing countries.

Easy Screening for Mild Alzheimer's Disease and Mild Cognitive Impairment from Elderly Speech

2018 ◽  
Vol 15 (2) ◽  
pp. 104-110 ◽  
Author(s):  
Shohei Kato ◽  
Akira Homma ◽  
Takuto Sakuma
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Characteristic Curve ◽  
Linear Regression Analysis ◽  
Speech Sound ◽  
The Elderly ◽  
Speech Sounds ◽  
Mel Frequency Cepstral Coefficients

Objective: This study presents a novel approach for early detection of cognitive impairment in the elderly. The approach incorporates the use of speech sound analysis, multivariate statistics, and data-mining techniques. We have developed a speech prosody-based cognitive impairment rating (SPCIR) that can distinguish between cognitively normal controls and elderly people with mild Alzheimer's disease (mAD) or mild cognitive impairment (MCI) using prosodic signals extracted from elderly speech while administering a questionnaire. Two hundred and seventy-three Japanese subjects (73 males and 200 females between the ages of 65 and 96) participated in this study. The authors collected speech sounds from segments of dialogue during a revised Hasegawa's dementia scale (HDS-R) examination and talking about topics related to hometown, childhood, and school. The segments correspond to speech sounds from answers to questions regarding birthdate (T1), the name of the subject's elementary school (T2), time orientation (Q2), and repetition of three-digit numbers backward (Q6). As many prosodic features as possible were extracted from each of the speech sounds, including fundamental frequency, formant, and intensity features and mel-frequency cepstral coefficients. They were refined using principal component analysis and/or feature selection. The authors calculated an SPCIR using multiple linear regression analysis. Conclusion: In addition, this study proposes a binary discrimination model of SPCIR using multivariate logistic regression and model selection with receiver operating characteristic curve analysis and reports on the sensitivity and specificity of SPCIR for diagnosis (control vs. MCI/mAD). The study also reports discriminative performances well, thereby suggesting that the proposed approach might be an effective tool for screening the elderly for mAD and MCI.

scholarly journals APOE-ε4 polymorphism and cognitive deficit among the elderly population of Fernando de Noronha

2008 ◽  
Vol 66 (2b) ◽  
pp. 298-302 ◽  
Author(s):  
Anália Nusya Garcia ◽  
Helker Albuquerque da Silva ◽  
Renan Carlos Silva ◽  
Eliane Maria Medeiros Leal ◽  
Lorena Rodrigues ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Elderly Population ◽  
Cognitive Deficit ◽  
The Elderly ◽  
Clock Drawing Test ◽  
Apoe Ε4 ◽  
Pcr Rflp ◽  
Fernando De Noronha ◽  
Ε4 Allele

BACKGROUND: Polymorphism of the gene for apolipoprotein E (APOE) is an important risk factor for the development of Alzheimer's disease. The ε4 allele of the APOE gene has been linked with a number of neuropsychiatric illnesses, and also with stress and depression among geriatric populations. OBJECTIVE: To identify APOE-ε4 polymorphism and correlate this with cognitive deficit among the elderly population of the island of Fernando de Noronha. METHOD: Neuropsychiatric tests (mini-mental state examination, verbal fluency test and clock drawing test) were applied to 52 elderly people without Alzheimer's disease. DNA was isolated from peripheral blood and genotyping of APOE was done by the PCR-RFLP method. RESULTS: 87% of the elderly population (mean age 69.6±7.0) had cognitive deficit. CONCLUSION: The observed frequency of the ε4 allele was 10%, but the correlation between the presence of ε4 and cognitive deficit in this population was not statistically significant.

scholarly journals Alzheimer’s Disease and Parkinson Dementia Distinguished by Cognitive Marker

2020 ◽  
Author(s):  
Irina Kozlova ◽  
Mario A Parra ◽  
Nataliya Titova ◽  
Maria Gantman ◽  
Sergio Della Sala
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
High Sensitivity ◽  
Task Demands ◽  
Memory Binding ◽  
Parkinson Dementia ◽  
Temporary Memory

Abstract Background Temporary memory binding (TMB) has been shown to be specifically affected by Alzheimer’s disease (AD) when it is assessed via free recall and titrating the task demands to equate baseline performance across patients. Methods Patients with Parkinson’s disease (PD) were subdivided into patients with and without cognitive impairment and compared with AD and amnestic mild cognitive impairment (aMCI) patients on their performance on the TMB. Results The results show that only patients with AD dementia present with impaired TMB performance. Receiver operating characteristic curve analyses showed that TMB holds high sensitivity and specificity for aMCI and AD relative to PD groups and healthy controls. Conclusion The TMB is sensitive to the neurodegenerative mechanisms leading to AD dementia but not to those underpinning PD dementia. As such, TMB task can aid the differential diagnosis of these common forms of dementia.

scholarly journals The Prevalence of Alzheimer’s Disease; its Risk and Protective Factors Among the Elderly Population in Iran

2017 ◽  
Vol 18 (9) ◽  
Author(s):  
Sakineh Gholamzadeh ◽  
Banafsheh Heshmati ◽  
Arash Mani ◽  
Peyman Petramfar ◽  
Zahra Baghery
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Protective Factors ◽  
Elderly Population ◽  
The Elderly ◽  
Risk And Protective Factors

Metabolomic Alterations in the Blood and Brain in Association with Alzheimer’s Disease: Evidence from in vivo to Clinical Studies

2021 ◽  
pp. 1-28
Author(s):  
Sirawit Sriwichaiin ◽  
Nipon Chattipakorn ◽  
Siriporn C. Chattipakorn
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Clinical Studies ◽  
Elderly Population ◽  
The Elderly ◽  
Pathological Findings ◽  
Major Health Problem ◽  
Major Health ◽  
The Brain

Alzheimer’s disease (AD) has become a major health problem among the elderly population. Some evidence suggests that metabolic disturbance possibly plays a role in the pathophysiology of AD. Currently, the study of metabolomics has been used to explore changes in multiple metabolites in several diseases, including AD. Thus, the metabolomics research in AD might provide some information regarding metabolic dysregulations, and their possible associated pathophysiology. This review summarizes the information discovered regarding the metabolites in the brain and the blood from the metabolomics research of AD from both animal and clinical studies. Additionally, the correlation between the changes in metabolites and outcomes, such as pathological findings in the brain and cognitive impairment are discussed. We also deliberate on the findings of cohort studies, demonstrating the alterations in metabolites before changes of cognitive function. All of these findings can be used to inform the potential identity of specific metabolites as possible biomarkers for AD.

scholarly journals The bile acid TUDCA improves glucose homeostasis through increase of insulin levels in mice with Alzheimer's disease

2019 ◽  
Author(s):  
Lucas Zangerolamo ◽  
Helena Cristina de Lima Barbosa Sampaio ◽  
Jean Franciesco Vettorazzi ◽  
Carina Solon ◽  
Gabriela Moreira Soares ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Insulin Resistance ◽  
Alzheimer's Disease ◽  
Bile Acid ◽  
Elderly Population ◽  
Population Studies ◽  
The Elderly ◽  
Insulin Homeostasis ◽  
Aβ Oligomer

Alzheimer's disease (AD) and Type 2 Diabetes Mellitus (T2DM) are two of the most prevalent disorders in the elderly population. Studies suggest that people with T2DM have higher risk of developing AD. Likewise, AD brains presents Insulin resistance resulting in low capacity of glucose uptake. There is a growing evidence that insulin resistance and downstream abnormalities in the insulin signaling pathway are present in the AD brain and contribute to the development of cognitive dysfunction. Here we reported that C57BL/6 mice submitted to intracerebroventricular injection of streptozotocin, model of AD, and treated during 10 days with the bile acid TUDCA presented reduced accumulation of Aβ oligomer in the hippocampus and higher insulin secretion and glucose tolerance, besides improvement in memory test, suggesting that TUDCA treatment interferes with glucose-insulin homeostasis in brain and consequently attenuates AD.

scholarly journals Direct and indirect neurological, cognitive and behavioral effects of COVID-19 on the normal elderly, Mild-Cognitive-Impairment and Alzheimer’s Disease populations

2020 ◽  
Author(s):  
Francesco Iodice ◽  
Valeria Cassano ◽  
Paolo Maria Rossini
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Indirect Effects ◽  
Elderly Population ◽  
Health Resources ◽  
The Elderly ◽  
Recovery Phase ◽  
Healthy Elderly

Abstract This article reviews the main articles that have been published so far about the direct and indirect effects of the COVID-19 pandemic on a particularly fragile population represented by the healthy elderly people as well as those with Mild Cognitive Impairment and Alzheimer's disease. Such populations have been among the most affected in the early stages of the pandemic due to the direct effects of the virus and numerous indirect effects now emerge and will have to be carefully assessed over time. The pandemic associated to COVID-19 has shifted most of the health resources to the emergency area and has consequently left the three main medical areas that dealing with the elderly population (oncology, time-dependent diseases and degenerative disease) temporarily “uncovered”. In the phase following the emergency, it will be crucial to guarantee to each area the economic and organizational resources to quickly return to the level of support of the pre-pandemic state. The emergency phase represented an important moment of discussion on the possibilities of telemedicine which will inevitably become increasingly important but all the limits of its use in the elderly population have to be considered. In the post-lockdown recovery phase, alongside the classic medical evaluation, the psychological evaluation must become even more important for doctors caring about people with cognitive decline.

scholarly journals REVIEW ON ELECTROENCEPHALOGRAPHIC FINDINGS IN PATIENTS WITH ALZHEIMER'S DISEASE

2021 ◽  
Vol 27 (1) ◽  
pp. 3529-3533
Author(s):  
Ivan Todorov ◽  
◽  
Kosta Kostov ◽  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Central Nervous System ◽  
Nervous System ◽  
Cognitive Impairment ◽  
Low Cost ◽  
The Elderly ◽  
Pathological Process ◽  
The Central Nervous System ◽  
Progressive Cognitive Impairment

Nowadays, with the constant enhancement of the longevity of the human population, the spreading of dementia is in steady rising. Among the many different sources of progressive cognitive impairment, Alzheimer's disease plays a major role being the most common reason for mental decline in the elderly population. Alzheimer's disease is a neurodegenerative disease of the central nervous system that leads to progressive cognitive impairment and has severe health, social and economic tolls. The lack of effective treatment and the problems of the daily living that the disease creates for the patients and their families raises many important issues in modern times. Due to the effect on the individuals and the need for a permanent caregiver, it is of high importance to have accessible tools for early diagnostic and assessment of the ongoing treatment. Electroencephalography is a noninvasive, easily reproductive diagnostic method with low cost that can be performed in different stages of the diseases of the central nervous system and give input on the current condition. This review presents the current achievements in the field of the usage of electroencephalography and its specific findings in patients with Alzheimer's disease and the qualitative and quantitative changes that appears and are important for early diagnosis, differential diagnostic, prediction of acceleration of the pathological process, distinguishing of co-existing conditions and follow-up of the effect of the administered treatment.

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