ArticleNeuroImage2013
Unbiased tensor-based morphometry: improved robustness and sample size estimates for Alzheimer's disease clinical trials.
Article in NeuroImage, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.
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Who cites it
75 citing papers in PubMed.
- Regional gray matter atrophy in relapsing remitting multiple sclerosis: baseline analysis of multi-center data.Multiple sclerosis and related disorders · 2015Trial
- Test-retest reliability of FreeSurfer measures of neurodegeneration.NeuroImage · 2026Article
- 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
- Application of improved graph convolutional network for cortical surface parcellation.Scientific reports · 2025Article
- Smooth Normative Brain Mapping of Three-Dimensional Morphometry Imaging Data Using Skew-Normal Regression.Human brain mapping · 2025Article
- Longitudinal trajectories of cognitive decline and temporal lobe atrophy based on baseline gonadotropins and testosterone.Frontiers in neuroscience · 2025Article
- Differences in Brain Volume in Military Service Members and Veterans After Blast-Related Mild TBI: A LIMBIC-CENC Study.JAMA network open · 2024Article
- Contributions of the ADNI Biostatistics Core.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Review
- Growth-Associated Protein 43 and Tensor-Based Morphometry Indices in Mild Cognitive Impairment.Neuroinformatics · 2024Article
- Fine Particulate Air Pollution, Early Life Stress, and Their Interactive Effects on Adolescent Structural Brain Development: A Longitudinal Tensor-Based Morphometry Study.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Limitations of clinical trial sample size estimate by subtraction of two measurements.Statistics in medicine · 2022Article
- DeepAtrophy: Teaching a neural network to detect progressive changes in longitudinal MRI of the hippocampal region in Alzheimer's disease.NeuroImage · 2021Article
- Orientational changes of white matter fibers in Alzheimer's disease and amnestic mild cognitive impairment.Human brain mapping · 2021Article
- Reproducibility and replicability of high-frequency, in-home digital biomarkers in reducing sample sizes for clinical trials.Alzheimer's & dementia (New York, N. Y.) · 2021Article
- Quantifying uncertainty in brain-predicted age using scalar-on-image quantile regression.NeuroImage · 2020Article
- Article
- Fast predictive simple geodesic regression.Medical image analysis · 2019Article
- Irritability and brain volume in adolescents: cross-sectional and longitudinal associations.Social cognitive and affective neuroscience · 2019Article
- Progressive brain atrophy in chronically infected and treated HIV+ individuals.Journal of neurovirology · 2019Article
- Longitudinal Mapping of Cortical Thickness Measurements: An Alzheimer's Disease Neuroimaging Initiative-Based Evaluation Study.Journal of Alzheimer's disease : JAD · 2019Article
15 more citing papers are in PubMed but not listed here.
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Authors and funding
13 authors.
Funding
Abstract
Various neuroimaging measures are being evaluated for tracking Alzheimer's disease (AD) progression in therapeutic trials, including measures of structural brain change based on repeated scanning of patients with magnetic resonance imaging (MRI). Methods to compute brain change must be robust to scan quality. Biases may arise if any scans are thrown out, as this can lead to the true changes being overestimated or underestimated. Here we analyzed the full MRI dataset from the first phase of Alzheimer's Disease Neuroimaging Initiative (ADNI-1) from the first phase of Alzheimer's Disease Neuroimaging Initiative (ADNI-1) and assessed several sources of bias that can arise when tracking brain changes with structural brain imaging methods, as part of a pipeline for tensor-based morphometry (TBM). In all healthy subjects who completed MRI scanning at screening, 6, 12, and 24months, brain atrophy was essentially linear with no detectable bias in longitudinal measures. In power analyses for clinical trials based on these change measures, only 39AD patients and 95 mild cognitive impairment (MCI) subjects were needed for a 24-month trial to detect a 25% reduction in the average rate of change using a two-sided test (α=0.05, power=80%). Further sample size reductions were achieved by stratifying the data into Apolipoprotein E (ApoE) ε4 carriers versus non-carriers. We show how selective data exclusion affects sample size estimates, motivating an objective comparison of different analysis techniques based on statistical power and robustness. TBM is an unbiased, robust, high-throughput imaging surrogate marker for large, multi-site neuroimaging studies and clinical trials of AD and MCI.
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