ArticleNeuroImage2008
Automated ventricular mapping with multi-atlas fluid image alignment reveals genetic effects in Alzheimer's disease.
Article in NeuroImage, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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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.
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Who cites it
52 citing papers in PubMed.
- Boosting power for clinical trials using classifiers based on multiple biomarkers.Neurobiology of aging · 2010Trial
- Ventricular enlargement and its clinical correlates in the imaging cohort from the ADCS MCI donepezil/vitamin E study.Alzheimer disease and associated disordersTrial
- Aging-related lateral ventricular shape changes and corresponding mechanical loading derived from longitudinal image registration.Biomechanics and modeling in mechanobiology · 2026Article
- AI-based medical e-diagnosis for fast and automatic ventricular volume measurement in patients with normal pressure hydrocephalus.Neural computing & applications · 2022Article
- Genetic Factors, Brain Atrophy, and Response to Rehabilitation Therapy After Stroke.Neurorehabilitation and neural repair · 2022Article
- Systematic and Comprehensive Automated Ventricle Segmentation on Ventricle Images of the Elderly Patients: A Retrospective Study.Frontiers in aging neuroscience · 2020Article
- Applying surface-based morphometry to study ventricular abnormalities of cognitively unimpaired subjects prior to clinically significant memory decline.NeuroImage. Clinical · 2020Article
- Five-Year Longitudinal Brain Volume Change in Healthy Elders at Genetic Risk for Alzheimer's Disease.Journal of Alzheimer's disease : JAD · 2017Article
- Impact of Common Variations in PLD3 on Neuroimaging Phenotypes in Non-demented Elders.Molecular neurobiology · 2016Article
- Carriers of a common variant in the dopamine transporter gene have greater dementia risk, cognitive decline, and faster ventricular expansion.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2015Article
- Multi-atlas segmentation of biomedical images: A survey.Medical image analysis · 2015Review
- Empowering imaging biomarkers of Alzheimer's disease.Neurobiology of aging · 2015Article
- Mapping ventricular expansion onto cortical gray matter in older adults.Neurobiology of aging · 2015Article
- Automatic clustering of white matter fibers in brain diffusion MRI with an application to genetics.NeuroImage · 2014Article
- Apolipoprotein E epsilon 4 allele is associated with ventricular expansion rate and surface morphology in dementia and normal aging.Neurobiology of aging · 2014Article
- Combined effects of Alzheimer risk variants in the CLU and ApoE genes on ventricular expansion patterns in the elderly.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2014Article
- Article
- Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis.NeuroImage · 2013Article
- Maximizing power to track Alzheimer's disease and MCI progression by LDA-based weighting of longitudinal ventricular surface features.NeuroImage · 2013Article
- Cerebrospinal fluid Aβ levels correlate with structural brain changes in Parkinson's disease.Movement disorders : official journal of the Movement Disorder Society · 2013Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
We developed and validated a new method to create automated 3D parametric surface models of the lateral ventricles in brain MRI scans, providing an efficient approach to monitor degenerative disease in clinical studies and drug trials. First, we used a set of parameterized surfaces to represent the ventricles in four subjects' manually labeled brain MRI scans (atlases). We fluidly registered each atlas and mesh model to MRIs from 17 Alzheimer's disease (AD) patients and 13 age- and gender-matched healthy elderly control subjects, and 18 asymptomatic ApoE4-carriers and 18 age- and gender-matched non-carriers. We examined genotyped healthy subjects with the goal of detecting subtle effects of a gene that confers heightened risk for Alzheimer's disease. We averaged the meshes extracted for each 3D MR data set, and combined the automated segmentations with a radial mapping approach to localize ventricular shape differences in patients. Validation experiments comparing automated and expert manual segmentations showed that (1) the Hausdorff labeling error rapidly decreased, and (2) the power to detect disease- and gene-related alterations improved, as the number of atlases, N, was increased from 1 to 9. In surface-based statistical maps, we detected more widespread and intense anatomical deficits as we increased the number of atlases. We formulated a statistical stopping criterion to determine the optimal number of atlases to use. Healthy ApoE4-carriers and those with AD showed local ventricular abnormalities. This high-throughput method for morphometric studies further motivates the combination of genetic and neuroimaging strategies in predicting AD progression and treatment response.
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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.