Recent update on the heterogeneity of the Alzheimer's disease spectrum

KA Jellinger - Journal of Neural Transmission, 2022 - Springer
Abstract Alzheimer's disease (AD), the most common form of dementia worldwide, is a mixed
proteinopathy (β-amyloid, tau and other proteins). Classically defined as a …

[HTML][HTML] The pollutome-connectome axis: a putative mechanism to explain pollution effects on neurodegeneration

L Pini, A Salvalaggio, AM Wennberg, A Dimakou… - Ageing Research …, 2023 - Elsevier
The study of pollutant effects is extremely important to address the epochal challenges we
are facing, where world populations are increasingly moving from rural to urban centers …

Identification of Alzheimer's disease from central lobe EEG signals utilizing machine learning and residual neural network

IA Fouad, FEZM Labib - Biomedical Signal Processing and Control, 2023 - Elsevier
Cognitive and behavioral deficits are some of the symptoms of Alzheimer's disease, a
neurological disease caused by brain deterioration. Early diagnosis of the disease …

[HTML][HTML] Brain network modulation in Alzheimer's and frontotemporal dementia with transcranial electrical stimulation

L Pini, FB Pizzini, I Boscolo-Galazzo, C Ferrari… - Neurobiology of …, 2022 - Elsevier
The default mode (DMN) and the salience (SN) networks show functional hypo-connectivity
in Alzheimer's disease (AD) and the behavioral variant of frontotemporal dementia (bvFTD) …

ABCA7-Associated Clinical Features and Molecular Mechanisms in Alzheimer's Disease

X Qian, S Chen, X Liu, H Tang - Molecular Neurobiology, 2023 - Springer
Alzheimer's disease (AD) is the most common type of neurodegenerative disease and its
pathogenesis is still unclear. Genetic factors are thought to account for a large proportion of …

A low-dimensional cognitive-network space in Alzheimer's disease and frontotemporal dementia

L Pini, SC de Lange, FB Pizzini… - Alzheimer's research & …, 2022 - Springer
Background Alzheimer's disease (AD) and frontotemporal dementia (FTD) show network
dysfunctions linked with cognitive deficits. Within this framework, network abnormalities …

Transcranial magnetic stimulation treatment in Alzheimer's disease: a meta-analysis of its efficacy as a function of protocol characteristics and degree of …

A Menardi, L Dotti, E Ambrosini, A Vallesi - Journal of Neurology, 2022 - Springer
Alzheimer's disease (AD) represents the most common type of neurodegenerative disorder.
Although our knowledge on the causes of AD remains limited and no curative treatments are …

Abnormal EEG microstates in Alzheimer's disease: predictors of β-amyloid deposition degree and disease classification

Y Yan, M Gao, Z Geng, Y Wu, G **ao, L Wang, X Pang… - GeroScience, 2024 - Springer
Electroencephalography (EEG) microstates are used to study cognitive processes and brain
disease-related changes. However, dysfunctional patterns of microstate dynamics in …

Personalized, precision medicine to cure Alzheimer's dementia: approach# 1

J Fessel - International journal of molecular sciences, 2024 - mdpi.com
The goal of the treatment for Alzheimer's dementia (AD) is the cure of dementia. A literature
review revealed 18 major elements causing AD and 29 separate medications that address …

Virtual brain simulations reveal network-specific parameters in neurodegenerative dementias

A Monteverdi, F Palesi, M Schirner… - Frontiers in Aging …, 2023 - frontiersin.org
Introduction Neural circuit alterations lay at the core of brain physiopathology, and yet are
hard to unveil in living subjects. The Virtual Brain (TVB) modeling, by exploiting structural …