ArticleHuman brain mapping2015
Detection of Alzheimer's disease signature in MR images seven years before conversion to dementia: Toward an early individual prognosis.
Article in Human brain mapping, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Deep survival modeling to predict future cognitive impairment in unimpaired adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- A generalist model for enhancing brain MRIs.Nature biomedical engineering · 2025Article
- Article
- A multimodal machine learning model for predicting dementia conversion in Alzheimer's disease.Scientific reports · 2024Article
- Hippocampal grading provides higher classification accuracy for those in the AD trajectory than hippocampal volume.Human brain mapping · 2023Article
- The use of hippocampal grading as a biomarker for preclinical and prodromal Alzheimer's disease.Human brain mapping · 2023Article
- Hippocampal subfield associations with memory depend on stimulus modality and retrieval mode.Brain communications · 2023Article
- Longitudinal changes in hippocampal texture from healthy aging to Alzheimer's disease.Brain communications · 2023Article
- External validation of existing dementia prediction models on observational health data.BMC medical research methodology · 2022Review
- Hippocampal-amygdalo-ventricular atrophy score: Alzheimer disease detection using normative and pathological lifespan models.Human brain mapping · 2022Article
- Risk of early-onset dementia among persons with tinnitus: a retrospective case-control study.Scientific reports · 2021Article
- Early diagnosis of Alzheimer's disease on ADNI data using novel longitudinal score based on functional principal component analysis.Journal of medical imaging (Bellingham, Wash.) · 2021Article
- Multi-scale graph-based grading for Alzheimer's disease prediction.Medical image analysis · 2021Article
- Automatic Prediction of Cognitive and Functional Decline Can Significantly Decrease the Number of Subjects Required for Clinical Trials in Early Alzheimer's Disease.Journal of Alzheimer's disease : JAD · 2021Article
- Using machine learning to quantify structural MRI neurodegeneration patterns of Alzheimer's disease into dementia score: Independent validation on 8,834 images from ADNI, AIBL, OASIS, and MIRIAD databases.Human brain mapping · 2020Article
- Multimodal Hippocampal Subfield Grading For Alzheimer's Disease Classification.Scientific reports · 2019Article
- Brain atrophy and patch-based grading in individuals from the CIMA-Q study: a progressive continuum from subjective cognitive decline to AD.Scientific reports · 2019Article
- Lifespan Changes of the Human Brain In Alzheimer's Disease.Scientific reports · 2019Article
- T2 Relaxometry and Diffusion Tensor Indices of the Hippocampus and Entorhinal Cortex Improve Sensitivity and Specificity of MRI to Detect Amnestic Mild Cognitive Impairment and Alzheimer's Disease Dementia.Journal of magnetic resonance imaging : JMRI · 2019Article
- Predicting progression from normal cognition to mild cognitive impairment for individuals at 5 years.Brain : a journal of neurology · 2018Article
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Authors and funding
13 authors.
Funding
Abstract
Finding very early biomarkers of Alzheimer's Disease (AD) to aid in individual prognosis is of major interest to accelerate the development of new therapies. Among the potential biomarkers, neurodegeneration measurements from MRI are considered as good candidates but have so far not been effective at the early stages of the pathology. Our objective is to investigate the efficiency of a new MR-based hippocampal grading score to detect incident dementia in cognitively intact patients. This new score is based on a pattern recognition strategy, providing a grading measure that reflects the similarity of the anatomical patterns of the subject under study with dataset composed of healthy subjects and patients with AD. Hippocampal grading was evaluated on subjects from the Three-City cohort, with a followup period of 12 years. Experiments demonstrate that hippocampal grading yields prediction accuracy up to 72.5% (P < 0.0001) 7 years before conversion to AD, better than both hippocampal volume (58.1%, P = 0.04) and MMSE score (56.9%, P = 0.08). The area under the ROC curve (AUC) supports the efficiency of imaging biomarkers with a gain of 8.4 percentage points for hippocampal grade (73.0%) over hippocampal volume (64.6%). Adaptation of the proposed framework to clinical score estimation is also presented. Compared with previous studies investigating new biomarkers for AD prediction over much shorter periods, the very long followup of the Three-City cohort demonstrates the important clinical potential of the proposed imaging biomarker. The high accuracy obtained with this new imaging biomarker paves the way for computer-based prognostic aides to help the clinician identify cognitively intact subjects that are at high risk to develop AD.
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