AIMC Topic: Tauopathies

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Inferring Parameters of Pyramidal Neuron Excitability in Mouse Models of Alzheimer's Disease Using Biophysical Modeling and Deep Learning.

Bulletin of mathematical biology Mar 25, 2024
Alzheimer's disease (AD) is believed to occur when abnormal amounts of the proteins amyloid beta and tau aggregate in the brain, resulting in a progressive loss of neuronal function. Hippocampal neurons in transgenic mice with amyloidopathy or tauopa...
Alzheimer Disease Mice, Transgenic Models, Biological Potassium Tauopathies Mathematical Concepts Pyramidal Cells Deep Learning Mice Disease Models, Animal Amyloid beta-Peptides Animals
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Kinetic Ensemble of Tau Protein through the Markov State Model and Deep Learning Analysis.

Journal of chemical theory and computation Mar 19, 2024
The ordered assembly of Tau protein into filaments characterizes Alzheimer's and other neurodegenerative diseases, and thus, stabilization of Tau protein is a promising avenue for tauopathies therapy. To dissect the underlying aggregation mechanisms ...
Humans Protein Structure, Secondary Tauopathies gamma-Globulins Melphalan Deep Learning Amino Acid Sequence tau Proteins
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Diagnosis of Alzheimer Disease and Tauopathies on Whole-Slide Histopathology Images Using a Weakly Supervised Deep Learning Algorithm.

Laboratory investigation; a journal of technical methods and pathology Mar 6, 2023
Neuropathologic assessment during autopsy is the gold standard for diagnosing neurodegenerative disorders. Neurodegenerative conditions, such as Alzheimer disease (AD) neuropathological change, are a continuous process from normal aging rather than c...
Pick Disease of the Brain Neurodegenerative Diseases Alzheimer Disease Tauopathies Humans tau Proteins Deep Learning Supranuclear Palsy, Progressive
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Deep learning reveals disease-specific signatures of white matter pathology in tauopathies.

Acta neuropathologica communications Oct 21, 2021
Although pathology of tauopathies is characterized by abnormal tau protein aggregation in both gray and white matter regions of the brain, neuropathological investigations have generally focused on abnormalities in the cerebral cortex because the can...
Deep Learning Alzheimer Disease Tauopathies Humans White Matter Corticobasal Degeneration Brain Supranuclear Palsy, Progressive
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Deep learning-based model for diagnosing Alzheimer's disease and tauopathies.

Neuropathology and applied neurobiology Aug 31, 2021
AIMS: This study aimed to develop a deep learning-based model for differentiating tauopathies, including Alzheimer's disease (AD), progressive supranuclear palsy (PSP), corticobasal degeneration (CBD) and Pick's disease (PiD), based on tau-immunostai...
Pick Disease of the Brain Humans Deep Learning Supranuclear Palsy, Progressive Tauopathies Alzheimer Disease tau Proteins
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Artificial intelligence in neuropathology: deep learning-based assessment of tauopathy.

Laboratory investigation; a journal of technical methods and pathology Feb 15, 2019
Accumulation of abnormal tau in neurofibrillary tangles (NFT) occurs in Alzheimer disease (AD) and a spectrum of tauopathies. These tauopathies have diverse and overlapping morphological phenotypes that obscure classification and quantitative assessm...
Neuropathology Aged Brain Tauopathies Aged, 80 and over Humans Male Female Deep Learning
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Synthesizing images of tau pathology from cross-modal neuroimaging using deep learning.

Brain : a journal of neurology Mar 1, 2024
Given the prevalence of dementia and the development of pathology-specific disease-modifying therapies, high-value biomarker strategies to inform medical decision-making are critical. In vivo tau-PET is an ideal target as a biomarker for Alzheimer's ...
Biomarkers Deep Learning Humans Artificial Intelligence Amyloidogenic Proteins Fluorodeoxyglucose F18 Tauopathies Neuroimaging
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