ArticleScientific reports2019
Multimodal Hippocampal Subfield Grading For Alzheimer's Disease Classification.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- A NOVEL BAYESIAN FRAMEWORK UNCOVERING BRAIN CONNECTIVITY-TO-SHAPE RELATIONSHIP IN PRECLINICAL ALZHEIMER'S DISEASE.The annals of applied statistics · 2026Article
- Using diffusion MRI to relate hippocampal subfield microstructure to delayed verbal memory in cognitively intact individuals at genetic risk for developing Alzheimer's disease.Experimental gerontology · 2026Article
- Longitudinal analysis of hippocampal subfield atrophy and network centrality associated with cognitive decline in Alzheimer's disease progression.Medical physics · 2026Article
- Predicting the progression of MCI and Alzheimer's disease on structural brain integrity and other features with machine learning.GeroScience · 2026Article
- Altered hippocampal subfield volumes in major depressive disorder with and without anhedonia.BMC psychiatry · 2023Article
- Protein mishandling and impaired lysosomal proteolysis generated through calcium dysregulation in Alzheimer's disease.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Structural connectivity mapping in human hippocampal-subfields using super-resolution hybrid diffusion imaging: a feasibility study.Neuroradiology · 2022Article
- Hippocampal dentate gyrus integrity revealed with ultrahigh resolution diffusion imaging predicts memory performance in older adults.Hippocampus · 2022Article
- A novel deep learning based hippocampus subfield segmentation method.Scientific reports · 2022Article
- Article
- Quantitative Gradient Echo MRI Identifies Dark Matter as a New Imaging Biomarker of Neurodegeneration that Precedes Tisssue Atrophy in Early Alzheimer's Disease.Journal of Alzheimer's disease : JAD · 2022Article
- Comparison of Hippocampal Subfield Segmentation Agreement between 2 Automated Protocols across the Adult Life Span.AJNR. American journal of neuroradiology · 2021Article
- Anatomical texture patterns identify cerebellar distinctions between essential tremor and Parkinson's disease.Human brain mapping · 2021Article
- Multimodal hippocampal and amygdala subfield volumetry in polygenic risk for Alzheimer's disease.Neurobiology of aging · 2021Article
- Multi-scale graph-based grading for Alzheimer's disease prediction.Medical image analysis · 2021Article
- Hippocampal subfield imaging and fractional anisotropy show parallel changes in Alzheimer's disease tau progression using simultaneous tau-PET/MRI at 3T.Alzheimer's & dementia (Amsterdam, Netherlands) · 2021Article
- Diagnostic Performance of Automated MRI Volumetry by icobrain dm for Alzheimer's Disease in a Clinical Setting: A REMEMBER Study.Journal of Alzheimer's disease : JAD · 2021Article
- Gaussian discriminative component analysis for early detection of Alzheimer's disease: A supervised dimensionality reduction algorithm.Journal of neuroscience methods · 2020Article
- TENSOR-BASED GRADING: A NOVEL PATCH-BASED GRADING APPROACH FOR THE ANALYSIS OF DEFORMATION FIELDS IN HUNTINGTON'S DISEASE.Proceedings. IEEE International Symposium on Biomedical Imaging · 2020Article
- Basal forebrain volume reliably predicts the cortical spread of Alzheimer's degeneration.Brain : a journal of neurology · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
Abstract
Numerous studies have proposed biomarkers based on magnetic resonance imaging (MRI) to detect and predict the risk of evolution toward Alzheimer's disease (AD). Most of these methods have focused on the hippocampus, which is known to be one of the earliest structures impacted by the disease. To date, patch-based grading approaches provide among the best biomarkers based on the hippocampus. However, this structure is complex and is divided into different subfields, not equally impacted by AD. Former in-vivo imaging studies mainly investigated structural alterations of these subfields using volumetric measurements and microstructural modifications with mean diffusivity measurements. The aim of our work is to improve the current classification performances based on the hippocampus with a new multimodal patch-based framework combining structural and diffusivity MRI. The combination of these two MRI modalities enables the capture of subtle structural and microstructural alterations. Moreover, we propose to study the efficiency of this new framework applied to the hippocampal subfields. To this end, we compare the classification accuracy provided by the different hippocampal subfields using volume, mean diffusivity, and our novel multimodal patch-based grading framework combining structural and diffusion MRI. The experiments conducted in this work show that our new multimodal patch-based method applied to the whole hippocampus provides the most discriminating biomarker for advanced AD detection while our new framework applied into subiculum obtains the best results for AD prediction, improving by two percentage points the accuracy compared to the whole hippocampus.
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