A literature review of the biology of Alzheimer's disease essay
This narrative review aimed to summarize evidence regarding responses to exercise in patients with preclinical Alzheimer's disease and the effectiveness of long-term exercise interventions in improving cognitive function and neuropsychiatric symptoms. We conducted a narrative review of the existing literature on Alzheimer's disease AD, a progressive neurodegenerative disease that affects memory and cognitive judgment. It is the leading cause of dementia in later life and is associated with a significant social burden and increased morbidity and mortality in the elderly. Due to the mixed effectiveness of medications, exercise has been. Introduction. Alzheimer's disease is the most common form of dementia. There are currently one million people living with the disease. World Health Organization, 2018. The disease is characterized by impaired cognitive functioning memory, visuospatial problems and executive functioning, emotional control and neuropsychiatric symptoms, Alzheimer's disease. AD is the most common cause of dementia, a syndrome characterized by impairment of memory and/or thinking that is severe enough to interfere with activities of daily living. 1, dementia affects millions of people worldwide and is currently the sixth leading cause of death in the United States. 3, -related, 1. Introduction. Dementia is one of the most important health problems in aging societies1,2. The World Health Organization suggests that millions of new cases of dementia occur worldwide every year, and -70 of these are patients with Alzheimer's disease. Due to aging trends, especially in Alzheimer's disease, Alzheimer's disease is the most common source of dementia in the elderly. It is a neurodegenerative disease that slowly progresses to complete loss of cognitive abilities in the patient. AD is responsible for ~70% of progressive mental and intellectual decline in the elderly. Alzheimer's disease AD is the most common form of dementia. The physiopathology of AD is well described by the presence of two neuropathological features: amyloid plaques and tau neurofibrillary tangles. Over the past decade, neuroinflammation and cellular stress have gained importance as key factors in development and pathology. Background: Alzheimer's disease AD and dementia are chronic diseases with progressive deterioration of cognition, function, and behavior, leading to severe disability and death. The prevalence of AD and dementia is continuously increasing due to the ongoing aging of the population. These conditions represent a significant one. An assessment of AD detection of Alzheimer's disease using deep learning is conducted. • Intensity normalization amplifier recording is an important preprocessing method in AD detection. • Patch-based methods for disease-related regions are more useful for feature extraction. • Convolutional neural networks are increasingly being used in impressive ways. Alzheimer's disease AD is the most common form of dementia in older people. Cognitive disorders, mainly related to memory disorders, are the most common manifestation of this. Advanced diagnostic methods are essential for the early diagnosis of Alzheimer's disease. These methods, which combine machine learning, neuroimaging and biomarkers, make it possible to detect small changes in the brain before symptoms appear. Early stages of disease provide a...,