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What is the relationship between human movement and alzheimer's disease?

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The relationship between human movement and Alzheimer's disease is intricate and multifaceted. Research suggests that cognitive deficits and movement disturbances in Alzheimer's patients may be linked to the aggregation of β-amyloid and τ-protein. Mobility disorders are recognized as early symptoms of Alzheimer's disease, with studies utilizing smartphone accelerometers to analyze mobility patterns for disease stage classification. Furthermore, a unique dance intervention study aims to improve the quality of life in Alzheimer's patients by focusing on movement and social engagement aspects, potentially altering brain network connectivity involved in motor and social-emotional functioning. Additionally, a study exploring finger movements in Alzheimer's patients found correlations between brain atrophy, cognitive function, and specific movement parameters, highlighting the interplay between motor performance and cognitive decline in the disease.

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Open access A Convolutional Neural Network-Based Method for Human Movement Patterns Classification in Alzheimer's Disease. Santos Bringas, Sergio Salomón, Rafael Duque, José Luis Montaña, Carmen Lage - Show less +4 more 01 Jan 2019 1 Citations	Human movement patterns can classify Alzheimer's disease stages using accelerometer data processed by a CNN, achieving a 91% success rate in identifying mobility patterns in patients.
Journal Article•DOI Neurochemical Aspects of Alzheimer's Disease and Movement Disturbances: A Theory of β-Amyloid and τ-Protein. Auda Fares, Dieter Borrmann - Show less +1 more 25 Jul 2018-American Journal of Alzheimers Disease and Other Dementias 7 Citations	β-amyloid and τ-protein aggregation in neurodegenerative disorders like Alzheimer's disease link motor dysfunction and cognitive decline, suggesting a shared pathogenic mechanism impacting human movement.
Open access•Journal Article•DOI A Convolutional Neural Network-Based Method for Human Movement Patterns Classification in Alzheimer’s Disease Santos Bringas, Sergio Salomón, Rafael Duque, José Luis Montaña, Carmen Lage - Show less +4 more 21 Nov 2019 8 Citations	A Convolutional Neural Network classifies Alzheimer's disease stages based on mobility patterns from accelerometer data, achieving a 91% success rate in classifying 35 patients.
Open access•Journal Article•DOI IMOVE: Protocol for a randomized, controlled 2x2 factorial trial of improvisational movement and social engagement interventions in older adults with early Alzheimer's disease Christina E. Hugenschmidt, Edward H. Ip, Jessie Sarah Laurita-Spanglet, Phyllis Babcock, Ashley R. Morgan, Jason Fanning, Kamryn King, Jantira Thomas, Christina T. Soriano - Show less +8 more 24 Jan 2023-Contemporary clinical trials communications	The study investigates how group dance interventions impact brain networks and quality of life in older adults with early Alzheimer's disease, focusing on movement and social engagement aspects.

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