Article

Prediction of clinical and biomarker conformed Alzheimer’s disease and mild cognitive impairment from multi-feature brain structural MRI

2020-04-21

Abstract excerpt

<title>Abstract</title> <p><bold>Background: </bold>Structural neuroimaging has been applied towards identification of individuals with Alzheimer’s disease (AD) and mild cognitive impairment (MCI). However, these methods are greatly impacted by age limiting their utility for detection of preclinical pathology. Therefore, careful consideration of age effects in the modeling of AD degenerative patterns could provid...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: a66c6a8a-fb0c-5bee-8d9f-497873075759
DOI: 10.21203/rs.3.rs-23368/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Prediction of clinical and biomarker conformed Alzheimer’s disease and mild cognitive impairment from multi-feature brain structural MRIDOI 10.21203/rs.3.rs-23368/v1Read

Aging as an active player in Alzheimer’s Disease Classification: Insights from feature selection in BrainAge ModelsSemantic proximity Read

Multimodal Imaging and Logistic Weighted Cognitive Scores for Classification of MCI, AD, and FTD SubtypesSemantic proximity Read

Machine Learning methods for predicting conversion from mild cognitive impairment to Alzheimer’s disease. A systematic review.Semantic proximity Read

Regional brain aging patterns reveal disease-specific pathways of neurodegenerationSemantic proximity Read

Detecting prodromal Alzheimer’s disease with MRI through deep learningSemantic proximity Read

The Knight Alzheimer Research Imaging (KARI) dataset: a comprehensive multimodal resource for exploring aging, preclinical, and symptomatic Alzheimer disease pathologySemantic proximity Read

Risk Score Stratification of Alzheimer’s Disease and Mild Cognitive Impairment using Deep LearningSemantic proximity Read

Interpretable MRI-Based Deep Learning for Alzheimer’s Risk and ProgressionSemantic proximity Read

Independent and reproducible hippocampal radiomic biomarkers for multisite Alzheimer’s disease: diagnosis, longitudinal progress and biological basisSemantic proximity Read

Diagnosis and Prognosis Using Machine Learning Trained on Brain Morphometry and White Matter ConnectomesSemantic proximity Read

Diagnosis and Prognosis of Alzheimer’s Disease Using Brain Morphometry and White Matter ConnectomesSemantic proximity Read

From a deep learning model back to the brain - inferring morphological markers and their relation to agingSemantic proximity Read