ArticleNeurobiology of aging2015
Diffusion weighted imaging-based maximum density path analysis and classification of Alzheimer's disease.
Article in Neurobiology of aging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.
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Who cites it
33 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- From Single-Modal to Multi-Modal Artificial Intelligence in Alzheimer's Disease: A Systematic Review of Databases, Modalities, Diagnostic Performance, and Clinical Translation Challenges.Sensors (Basel, Switzerland) · 2026Pooled it
- Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer's Disease.Neuroinformatics · 2021Pooled it
- Early Alzheimer's risk detection via diffusion tensor imaging using a few-shot multichannel attention residual learning network.Frontiers in artificial intelligence · 2026Article
- Overview of ADNI MRI.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Review
- Toward diffusion tensor imaging as a biomarker in neurodegenerative diseases: technical considerations to optimize recordings and data processing.Frontiers in human neuroscience · 2024Review
- Reproducible Abnormalities and Diagnostic Generalizability of White Matter in Alzheimer's Disease.Neuroscience bulletin · 2023Article
- Predictive classification of Alzheimer's disease using brain imaging and genetic data.Scientific reports · 2022Article
- Automated Classification of Mild Cognitive Impairment by Machine Learning With Hippocampus-Related White Matter Network.Frontiers in aging neuroscience · 2022Article
- Evaluation of Feature Selection for Alzheimer's Disease Diagnosis.Frontiers in aging neuroscience · 2022Article
- Regional Brain Fusion: Graph Convolutional Network for Alzheimer's Disease Prediction and Analysis.Frontiers in neuroinformatics · 2022Article
- A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity.IEEE transactions on medical imaging · 2021Article
- Track-Density Ratio Mapping With Fiber Types in the Cerebral Cortex Using Diffusion-Weighted MRI.Frontiers in neuroanatomy · 2021Article
- Specific White Matter Tracts and Diffusion Properties Predict Conversion From Mild Cognitive Impairment to Alzheimer's Disease.Frontiers in aging neuroscience · 2021Article
- Interactions Between Aging and Alzheimer's Disease on Structural Brain Networks.Frontiers in aging neuroscience · 2021Article
- White Matter Brain Network Research in Alzheimer's Disease Using Persistent Features.Molecules (Basel, Switzerland) · 2020Article
- A Gaussian-based model for early detection of mild cognitive impairment using multimodal neuroimaging.Journal of neuroscience methods · 2020Article
- Alzheimer's disease diagnosis from diffusion tensor images using convolutional neural networks.PloS one · 2020Article
- Multimodal Hippocampal Subfield Grading For Alzheimer's Disease Classification.Scientific reports · 2019Article
- Cortical graph neural network for AD and MCI diagnosis and transfer learning across populations.NeuroImage. Clinical · 2019Article
- Effects of Brain Parcellation on the Characterization of Topological Deterioration in Alzheimer's Disease.Frontiers in aging neuroscience · 2019Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Characterizing brain changes in Alzheimer's disease (AD) is important for patient prognosis and for assessing brain deterioration in clinical trials. In this diffusion weighted imaging study, we used a new fiber-tract modeling method to investigate white matter integrity in 50 elderly controls (CTL), 113 people with mild cognitive impairment, and 37 AD patients. After clustering tractography using a region-of-interest atlas, we used a shortest path graph search through each bundle's fiber density map to derive maximum density paths (MDPs), which we registered across subjects. We calculated the fractional anisotropy (FA) and mean diffusivity (MD) along all MDPs and found significant MD and FA differences between AD patients and CTL subjects, as well as MD differences between CTL and late mild cognitive impairment subjects. MD and FA were also associated with widely used clinical scores. As an MDP is a compact low-dimensional representation of white matter organization, we tested the utility of diffusion tensor imaging measures along these MDPs as features for support vector machine based classification of AD.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.