AIMC Topic: Alzheimer Disease
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Deep learning of resting-state electroencephalogram signals for three-class classification of Alzheimer's disease, mild cognitive impairment and healthy ageing.
Journal of neural engineering
Jun 17, 2021
This study aimed to produce a novel deep learning (DL) model for the classification of subjects with Alzheimer's disease (AD), mild cognitive impairment (MCI) subjects and healthy ageing (HA) subjects using resting-state scalp electroencephalogram (E...
Predicting the Prognosis of MCI Patients Using Longitudinal MRI Data.
IEEE/ACM transactions on computational biology and bioinformatics
Jun 3, 2021
The aim of this study is to develop a computer-aided diagnosis system with a deep-learning approach for distinguishing "Mild Cognitive Impairment (MCI) due to Alzheimer's Disease (AD)" patients among a list of MCI patients. In this system we are usin...
Application of deep learning to understand resilience to Alzheimer's disease pathology.
Brain pathology (Zurich, Switzerland)
May 19, 2021
People who have Alzheimer's disease neuropathologic change (ADNC) typically associated with dementia but not the associated cognitive decline can be considered to be "resilient" to the effects of ADNC. We have previously reported lower neocortical le...
Deep recurrent model for individualized prediction of Alzheimer's disease progression.
NeuroImage
May 13, 2021
Alzheimer's disease (AD) is known as one of the major causes of dementia and is characterized by slow progression over several years, with no treatments or available medicines. In this regard, there have been efforts to identify the risk of developin...
A machine learning approach to screen for preclinical Alzheimer's disease.
Neurobiology of aging
May 4, 2021
Combining multimodal biomarkers could help in the early diagnosis of Alzheimer's disease (AD). We included 304 cognitively normal individuals from the INSIGHT-preAD cohort. Amyloid and neurodegeneration were assessed on F-florbetapir and F-fluorodeox...
White matter hyperintensities segmentation using the ensemble U-Net with multi-scale highlighting foregrounds.
NeuroImage
May 3, 2021
White matter hyperintensities (WMHs) are abnormal signals within the white matter region on the human brain MRI and have been associated with aging processes, cognitive decline, and dementia. In the current study, we proposed a U-Net with multi-scale...
Diagnosis of Alzheimer's Disease Severity with fMRI Images Using Robust Multitask Feature Extraction Method and Convolutional Neural Network (CNN).
Computational and mathematical methods in medicine
Apr 27, 2021
The automatic diagnosis of Alzheimer's disease plays an important role in human health, especially in its early stage. Because it is a neurodegenerative condition, Alzheimer's disease seems to have a long incubation period. Therefore, it is essential...
Alzheimer Disease
Humans
Image Interpretation, Computer-Assisted
Neural Networks, Computer
Brain
Support Vector Machine
Early Diagnosis
Algorithms
Severity of Illness Index
Magnetic Resonance Imaging
Mental Status and Dementia Tests
Databases, Factual
Deep Learning
Decision Trees
Functional Neuroimaging
Discriminant Analysis
Computational Biology
Diagnosis of Alzheimer's Disease by Time-Dependent Power Spectrum Descriptors and Convolutional Neural Network Using EEG Signal.
Computational and mathematical methods in medicine
Apr 23, 2021
Using strategies that obtain biomarkers where early symptoms coincide, the early detection of Alzheimer's disease and its complications is essential. Electroencephalogram is a technology that allows thousands of neurons with equal spatial orientation...
Increasing the confidence of F-Florbetaben PET interpretations: Machine learning quantitative approximation.
Revista espanola de medicina nuclear e imagen molecular
Apr 21, 2021
AIM: To assess the added value of semiquantitative parameters on the visual assessment and to study the patterns of F-Florbetaben brain deposition.
Artificial intelligence and leukocyte epigenomics: Evaluation and prediction of late-onset Alzheimer's disease.
PloS one
Mar 31, 2021
We evaluated the utility of leucocyte epigenomic-biomarkers for Alzheimer's Disease (AD) detection and elucidates its molecular pathogeneses. Genome-wide DNA methylation analysis was performed using the Infinium MethylationEPIC BeadChip array in 24 l...
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