ArticleNeuroImage2008
3D characterization of brain atrophy in Alzheimer's disease and mild cognitive impairment using tensor-based morphometry.
Article in NeuroImage, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers.
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Who cites it
102 citing papers in PubMed, 166 citations in OpenAlex.
- Regional gray matter atrophy in relapsing remitting multiple sclerosis: baseline analysis of multi-center data.Multiple sclerosis and related disorders · 2015Trial
- Boosting power for clinical trials using classifiers based on multiple biomarkers.Neurobiology of aging · 2010Trial
- Region-dependent mechanical parameters in simulating cerebral atrophy.APL bioengineering · 2026Article
- A Comparative Study of Consistency on 1.5-T to 3.0-T Magnetic Resonance Imaging Conversion.Current medical imaging · 2025Article
- Postmortem neuropathologies are associated with retrospective tensor-based morphometry findings in Alzheimer's dementia continuum.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Article
- Voxel-Based Morphometric Analysis of the Mini-Mental State Examination and the Mini-Mental State Examination-2 in Patients With Mild Cognitive Impairment and Alzheimer's Disease in Korea.Journal of Korean medical science · 2025Article
- Contributions of the ADNI Biostatistics Core.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Review
- Quantifying uncertainty in brain-predicted age using scalar-on-image quantile regression.NeuroImage · 2020Article
- Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data.Medical image analysis · 2020Article
- Structured sparsity regularized multiple kernel learning for Alzheimer's disease diagnosis.Pattern recognition · 2019Article
- Computational modeling and biomarker studies of pharmacological treatment of Alzheimer's disease (Review).Molecular medicine reports · 2018Review
- Williams Syndrome neuroanatomical score associates with GTF2IRD1 in large-scale magnetic resonance imaging cohorts: a proof of concept for multivariate endophenotypes.Translational psychiatry · 2018Article
- An ensemble learning system for a 4-way classification of Alzheimer's disease and mild cognitive impairment.Journal of neuroscience methods · 2018Article
- Mild cognitive impairment and structural brain abnormalities in a sexagenarian with a history of childhood traumatic brain injury.Journal of neuroscience research · 2018Article
- Multivariate Deep Learning Classification of Alzheimer's Disease Based on Hierarchical Partner Matching Independent Component Analysis.Frontiers in aging neuroscience · 2018Article
- Feature selective temporal prediction of Alzheimer's disease progression using hippocampus surface morphometry.Brain and behavior · 2017Article
- The C677T variant inBiological psychiatry. Cognitive neuroscience and neuroimaging · 2017Article
- A Hierarchical Feature and Sample Selection Framework and Its Application for Alzheimer's Disease Diagnosis.Scientific reports · 2017Article
- Systemic and Disease-Specific Risk Factors in Vascular Dementia: Diagnosis and Prevention.Frontiers in aging neuroscience · 2017Article
- Inherent Structure-Based Multiview Learning With Multitemplate Feature Representation for Alzheimer's Disease Diagnosis.IEEE transactions on bio-medical engineering · 2016Article
42 more citing papers are in PubMed but not listed here.
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Authors and funding
28 authors at 1 institution in 1 country.
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Abstract
Tensor-based morphometry (TBM) creates three-dimensional maps of disease-related differences in brain structure, based on nonlinearly registering brain MRI scans to a common image template. Using two different TBM designs (averaging individual differences versus aligning group average templates), we compared the anatomical distribution of brain atrophy in 40 patients with Alzheimer's disease (AD), 40 healthy elderly controls, and 40 individuals with amnestic mild cognitive impairment (aMCI), a condition conferring increased risk for AD. We created an unbiased geometrical average image template for each of the three groups, which were matched for sex and age (mean age: 76.1 years+/-7.7 SD). We warped each individual brain image (N=120) to the control group average template to create Jacobian maps, which show the local expansion or compression factor at each point in the image, reflecting individual volumetric differences. Statistical maps of group differences revealed widespread medial temporal and limbic atrophy in AD, with a lesser, more restricted distribution in MCI. Atrophy and CSF space expansion both correlated strongly with Mini-Mental State Exam (MMSE) scores and Clinical Dementia Rating (CDR). Using cumulative p-value plots, we investigated how detection sensitivity was influenced by the sample size, the choice of search region (whole brain, temporal lobe, hippocampus), the initial linear registration method (9- versus 12-parameter), and the type of TBM design. In the future, TBM may help to (1) identify factors that resist or accelerate the disease process, and (2) measure disease burden in treatment trials.
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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.