ArticleHuman brain mapping2022
Hippocampal-amygdalo-ventricular atrophy score: Alzheimer disease detection using normative and pathological lifespan models.
Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 37 citations in OpenAlex.
- Joint trajectories of brain atrophy, white matter hyperintensities and cognition quantify brain maintenance.Nature communications · 2026Article
- Redefining Idiopathic Normal Pressure Hydrocephalus Using AI-Driven Brain Volumetry.Biomedicines · 2026Article
- Integrating standard and native spaces for radiomics and brain network analysis in Alzheimer's disease diagnosis and prognosis.Journal of neurology · 2026Article
- Enhanced monitoring of Alzheimer's disease brain atrophy using composite value ratios of volumes.Brain communications · 2026Article
- Generalizable MRI normative modelling to detect age-inappropriate neurodegeneration.Alzheimer's research & therapy · 2025Article
- Estimation of reference curves for brain atrophy and analysis of robustness to machine effects.Scientific reports · 2025Article
- petBrain: a new pipeline for amyloid, Tau tangles and neurodegeneration quantification using PET and MRI.Alzheimer's research & therapy · 2025Article
- Lifespan Tree of Brain Anatomy: Diagnostic Values for Motor and Cognitive Neurodegenerative Diseases.Human brain mapping · 2025Article
- Validation of dementia-free status in the iranian brain imaging database using ADNI data: a transition point from middle age to older adulthood.BMC neurology · 2025Article
- Regional Brain Aging Disparity Index: Region-Specific Brain Aging State Index for Neurodegenerative Diseases and Chronic Disease Specificity.Bioengineering (Basel, Switzerland) · 2025Article
- Advances in Diagnostic Approaches for Alzheimer's Disease: From Biomarkers to Deep Learning Technology.CNS & neurological disorders drug targets · 2025Review
- MRI-Driven Longitudinal Studies of Hippocampal Alterations During the Initial Cognitive Decline.IEEE journal of translational engineering in health and medicine · 2025Article
- Explainable early detection of Alzheimer's disease using ROIs and an ensemble of 138 3D vision transformers.Scientific reports · 2024Article
- Rate of abnormalities in quantitative MR neuroimaging of persons with chronic traumatic brain injury.BMC neurology · 2024Article
- Vulnerability of Thalamic Nuclei at CSF Interface During the Entire Course of Multiple Sclerosis.Neurology(R) neuroimmunology & neuroinflammation · 2024Article
- Genetic architectures of cerebral ventricles and their overlap with neuropsychiatric traits.Nature human behaviour · 2024Article
- Staging of progressive supranuclear palsy-Richardson syndrome using MRI brain charts for the human lifespan.Brain communications · 2024Article
- Brain structure ages-A new biomarker for multi-disease classification.Human brain mapping · 2024Article
- Lifespan neurodegeneration of the human brain in multiple sclerosis.Human brain mapping · 2023Article
- Potential Ocular Biomarkers for Early Detection of Alzheimer's Disease and Their Roles in Artificial Intelligence Studies.Neurology and therapy · 2023Review
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
In this article, we present an innovative MRI-based method for Alzheimer disease (AD) detection and mild cognitive impairment (MCI) prognostic, using lifespan trajectories of brain structures. After a full screening of the most discriminant structures between AD and normal aging based on MRI volumetric analysis of 3,032 subjects, we propose a novel Hippocampal-Amygdalo-Ventricular Atrophy score (HAVAs) based on normative lifespan models and AD lifespan models. During a validation on three external datasets on 1,039 subjects, our approach showed very accurate detection (AUC ≥ 94%) of patients with AD compared to control subjects and accurate discrimination (AUC = 78%) between progressive MCI and stable MCI (during a 3-year follow-up). Compared to normative modeling, classical machine learning methods and recent state-of-the-art deep learning methods, our method demonstrated better classification performance. Moreover, HAVAs simplicity makes it fully understandable and thus well-suited for clinical practice or future pharmaceutical trials.
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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.