ArticleMagnetic resonance imaging2016
Shape and diffusion tensor imaging based integrative analysis of the hippocampus and the amygdala in Alzheimer's disease.
Article in Magnetic resonance imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05020626 (Modelling Tau Deposition and Distribution From Diffusion Tensor Imaging With Generative Adversarial Network for Alzheimer's Disease Diagnosis), which is not on this map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Modelling Tau Deposition and Distribution From Diffusion Tensor Imaging With Generative Adversarial Network for Alzheimer's Disease Diagnosis
Who cites it
24 citing papers in PubMed, 1 synthesis or guideline 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
- Multimodal fusion and explainability of artificial intelligence models in Alzheimer's Disease detection.Brain informatics · 2026Review
- Early Alzheimer's risk detection via diffusion tensor imaging using a few-shot multichannel attention residual learning network.Frontiers in artificial intelligence · 2026Article
- Hippocampal grey matter changes across scales in Alzheimer's Disease.bioRxiv : the preprint server for biology · 2025Article
- Brain structural alterations in young women with premature ovarian insufficiency: Implications for dementia risk.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Diffeomorphic image registration with bijective consistency.Proceedings of SPIE--the International Society for Optical Engineering · 2024Article
- Enabling uncertainty estimation in neural networks through weight perturbation for improved Alzheimer's disease classification.Frontiers in neuroinformatics · 2024Article
- Layer-specific microstructural patterns of anterior hippocampus in Alzheimer's disease with ex vivo diffusion MRI at 14.1 T.Human brain mapping · 2023Article
- Increased Hippocampal-Inferior Temporal Gyrus White Matter Connectivity following Donepezil Treatment in Patients with Early Alzheimer's Disease: A Diffusion Tensor Probabilistic Tractography Study.Journal of clinical medicine · 2023Article
- Hippocampal-subfield microstructures and their relation to plasma biomarkers in Alzheimer's disease.Brain : a journal of neurology · 2022Article
- Classification of Alzheimer's disease progression based on sMRI using gray matter volume and lateralization index.PloS one · 2022Article
- An Increased Aspartate to Alanine Aminotransferase Ratio Is Associated With a Higher Risk of Cognitive Impairment.Frontiers in medicine · 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
- Diagnosis of Alzheimer's Disease in Developed and Developing Countries: Systematic Review and Meta-Analysis of Diagnostic Test Accuracy.Journal of Alzheimer's disease reports · 2021Article
- Nonlinear interaction between APOE ε4 allele load and age in the hippocampal surface of cognitively intact individuals.Human brain mapping · 2021Article
- Anisotropy of Anomalous Diffusion Improves the Accuracy of Differentiating and Grading Alzheimer's Disease Using Novel Fractional Motion Model.Frontiers in aging neuroscience · 2020Article
- Amygdalar and Hippocampal Morphometry Abnormalities in First-Episode Schizophrenia Using Deformation-Based Shape Analysis.Frontiers in psychiatry · 2020Article
- AAVrh.10-Mediated APOE2 Central Nervous System Gene Therapy for APOE4-Associated Alzheimer's Disease.Human gene therapy. Clinical development · 2018Article
- Radiomic Features of Hippocampal Subregions in Alzheimer's Disease and Amnestic Mild Cognitive Impairment.Frontiers in aging neuroscience · 2018Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
We analyzed, in an integrative fashion, the morphometry and structural integrity of the bilateral hippocampi and amygdalas in Alzheimer's disease (AD) using T1-weighted images and diffusion tensor images (DTIs). We detected significant hippocampal and amygdalar volumetric atrophies in AD relative to healthy controls (HCs). Shape analysis revealed significant region-specific atrophies with the hippocampal atrophy mainly being concentrated on the CA1 and CA2 while the amygdalar atrophy was concentrated on the basolateral and basomedial. In all structures, the structural integrity displayed a significantly decreased mean fractional anisotropy (FA) value and an increased mean trace value in AD. In addition to the inter-group comparisons, we systematically evaluated the discriminative power of our three types of features (volume, shape, and DTI), both individually and in their possible combinations, when differentiating between AD and HCs. We found the volume features to be redundant when the more sophisticated shape features were available. A combination of the shape and DTI features of the right hippocampus, with classification automatically performed by support vector machine, yielded the strongest classification result (overall accuracy, 94.6%; sensitivity, 95.5%; specificity, 93.3%).
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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.