ArticleNeuroImage2015
Studying ventricular abnormalities in mild cognitive impairment with hyperbolic Ricci flow and tensor-based morphometry.
Article in NeuroImage, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
- Ricci Flow-Based Approach for Early Diagnosis of Alzheimer's Disease.Neuroinformatics · 2026Article
- Aging-related lateral ventricular shape changes and corresponding mechanical loading derived from longitudinal image registration.Biomechanics and modeling in mechanobiology · 2026Article
- Synergistic effects of multicomponent exercise and rTMS on sarcopenia and mild cognitive impairment in older people: a protocol for a randomized controlled trial.BMC geriatrics · 2025Article
- Growth-Associated Protein 43 and Tensor-Based Morphometry Indices in Mild Cognitive Impairment.Neuroinformatics · 2024Article
- Combining Blood-Based Biomarkers and Structural MRI Measurements to Distinguish Persons with and without Significant Amyloid Plaques.Journal of Alzheimer's disease : JAD · 2024Article
- Fine-grained features characterize hippocampal and amygdaloid change pattern in Parkinson's disease and discriminate cognitive-deficit subtype.CNS neuroscience & therapeutics · 2024Article
- Classification of Alzheimer's disease based on hippocampal multivariate morphometry statistics.CNS neuroscience & therapeutics · 2023Article
- LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures.Journal of the American Statistical Association · 2023Article
- Improved Prediction of Amyloid-β and Tau Burden Using Hippocampal Surface Multivariate Morphometry Statistics and Sparse Coding.Journal of Alzheimer's disease : JAD · 2023Article
- A Surface-Based Federated Chow Test Model for Integrating APOE Status, Tau Deposition Measure, and Hippocampal Surface Morphometry.Journal of Alzheimer's disease : JAD · 2023Article
- The impact of Alzheimer's disease susceptibility loci on lateral ventricular surface morphology in older adults.Brain structure & function · 2022Article
- Studying APOE ɛ4 Allele Dose Effects with a Univariate Morphometry Biomarker.Journal of Alzheimer's disease : JAD · 2022Article
- Predicting Tau Accumulation in Cerebral Cortex with Multivariate MRI Morphometry Measurements, Sparse Coding, and Correntropy.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
- Predicting future cognitive decline with hyperbolic stochastic coding.Medical image analysis · 2021Article
- A novel pipeline leveraging surface-based features of small subcortical structures to classify individuals with autism spectrum disorder.Progress in neuro-psychopharmacology & biological psychiatry · 2021Article
- Predicting Brain Amyloid Using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,101 Individuals From the ADNI and OASIS Databases.Frontiers in neuroscience · 2021Article
- Federated Morphometry Feature Selection for Hippocampal Morphometry Associated Beta-Amyloid and Tau Pathology.Frontiers in neuroscience · 2021Article
- Patch-Based Surface Morphometry Feature Selection with Federated Group Lasso Regression.Proceedings of SPIE--the International Society for Optical Engineering · 2020Article
- Morphological changes in subregions of hippocampus and amygdala in major depressive disorder patients.Brain imaging and behavior · 2020Article
- Hyperbolic Wasserstein Distance for Shape Indexing.IEEE transactions on pattern analysis and machine intelligence · 2020Article
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Authors and funding
11 authors.
Funding
Abstract
Mild Cognitive Impairment (MCI) is a transitional stage between normal aging and dementia and people with MCI are at high risk of progression to dementia. MCI is attracting increasing attention, as it offers an opportunity to target the disease process during an early symptomatic stage. Structural magnetic resonance imaging (MRI) measures have been the mainstay of Alzheimer's disease (AD) imaging research, however, ventricular morphometry analysis remains challenging because of its complicated topological structure. Here we describe a novel ventricular morphometry system based on the hyperbolic Ricci flow method and tensor-based morphometry (TBM) statistics. Unlike prior ventricular surface parameterization methods, hyperbolic conformal parameterization is angle-preserving and does not have any singularities. Our system generates a one-to-one diffeomorphic mapping between ventricular surfaces with consistent boundary matching conditions. The TBM statistics encode a great deal of surface deformation information that could be inaccessible or overlooked by other methods. We applied our system to the baseline MRI scans of a set of MCI subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI: 71 MCI converters vs. 62 MCI stable). Although the combined ventricular area and volume features did not differ between the two groups, our fine-grained surface analysis revealed significant differences in the ventricular regions close to the temporal lobe and posterior cingulate, structures that are affected early in AD. Significant correlations were also detected between ventricular morphometry, neuropsychological measures, and a previously described imaging index based on fluorodeoxyglucose positron emission tomography (FDG-PET) scans. This novel ventricular morphometry method may offer a new and more sensitive approach to study preclinical and early symptomatic stage AD.
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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.