AIMC Topic: Alzheimer Disease

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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...
Neurodegenerative Diseases Alzheimer Disease Humans Deep Learning Tauopathies Pick Disease of the Brain tau Proteins Supranuclear Palsy, Progressive
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Deep Learning-Based Feature Extraction with MRI Data in Neuroimaging Genetics for Alzheimer's Disease.

Genes Mar 1, 2023
The prognosis and treatment of patients suffering from Alzheimer's disease (AD) have been among the most important and challenging problems over the last few decades. To better understand the mechanism of AD, it is of great interest to identify genet...
Humans Alzheimer Disease Genome-Wide Association Study Neuroimaging Deep Learning Magnetic Resonance Imaging
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DeAF: A multimodal deep learning framework for disease prediction.

Computers in biology and medicine Feb 28, 2023
Multimodal deep learning models have been applied for disease prediction tasks, but difficulties exist in training due to the conflict between sub-models and fusion modules. To alleviate this issue, we propose a framework for decoupling feature align...
Humans Deep Learning Alzheimer Disease
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An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG.

Journal of neural engineering Feb 17, 2023
. This study aims to design and implement the first deep learning (DL) model to classify subjects in the prodromic states of Alzheimer's disease (AD) based on resting-state electroencephalographic (EEG) signals.. EEG recordings of 17 healthy controls...
Cognitive Dysfunction Electroencephalography Humans Deep Learning Alzheimer Disease
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A multimodal deep learning model to infer cell-type-specific functional gene networks.

BMC bioinformatics Feb 14, 2023
BACKGROUND: Functional gene networks (FGNs) capture functional relationships among genes that vary across tissues and cell types. Construction of cell-type-specific FGNs enables the understanding of cell-type-specific functional gene relationships an...
Alzheimer Disease Humans Deep Learning Neural Networks, Computer Gene Regulatory Networks Brain
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Convolution Neural Networks and Self-Attention Learners for Alzheimer Dementia Diagnosis from Brain MRI.

Sensors (Basel, Switzerland) Feb 3, 2023
Alzheimer's disease (AD) is the most common form of dementia. Computer-aided diagnosis (CAD) can help in the early detection of associated cognitive impairment. The aim of this work is to improve the automatic detection of dementia in MRI brain data....
Magnetic Resonance Imaging Alzheimer Disease Deep Learning Humans Neural Networks, Computer Brain
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Precise Discrimination for Multiple Etiologies of Dementia Cases Based on Deep Learning with Electroencephalography.

Neuropsychobiology Jan 19, 2023
INTRODUCTION: It is critical to develop accurate and universally available biomarkers for dementia diseases to appropriately deal with the dementia problems under world-wide rapid increasing of patients with dementia. In this sense, electroencephalog...
Electroencephalography Humans Lewy Body Disease Alzheimer Disease Deep Learning
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Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairment.

Proceedings of the National Academy of Sciences of the United States of America Jan 3, 2023
The gap between chronological age (CA) and biological brain age, as estimated from magnetic resonance images (MRIs), reflects how individual patterns of neuroanatomic aging deviate from their typical trajectories. MRI-derived brain age (BA) estimates...
Humans Brain Adult Deep Learning Alzheimer Disease Cognitive Dysfunction Magnetic Resonance Imaging
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Towards better interpretable and generalizable AD detection using collective artificial intelligence.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jan 2, 2023
Alzheimer's Disease is the most common cause of dementia. Accurate diagnosis and prognosis of this disease are essential to design an appropriate treatment plan, increasing the life expectancy of the patient. Intense research has been conducted on th...
Neural Networks, Computer Alzheimer Disease Magnetic Resonance Imaging Humans Artificial Intelligence Neuroimaging
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Deep Learning for Brain MRI Confirms Patterned Pathological Progression in Alzheimer's Disease.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Dec 27, 2022
Deep learning (DL) on brain magnetic resonance imaging (MRI) data has shown excellent performance in differentiating individuals with Alzheimer's disease (AD). However, the value of DL in detecting progressive structural MRI (sMRI) abnormalities link...
Magnetic Resonance Imaging Brain Humans Alzheimer Disease Deep Learning Neuroimaging
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