ArticleScientific reports2018
Structural brain imaging in Alzheimer's disease and mild cognitive impairment: biomarker analysis and shared morphometry database.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 4 of them syntheses that pooled it.
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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
67 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Motor Learning in Older Adults with Mild Cognitive Impairment: A Systematic Review.Neuropsychology review · 2026Pooled it
- Hippocampal transcriptome-wide association study and pathway analysis of mitochondrial solute carriers in Alzheimer's disease.Translational psychiatry · 2024Pooled it
- Deep brain stimulation for the treatment of Alzheimer's disease: A systematic review and meta-analysis.Frontiers in neuroscience · 2023Pooled it
- Structural magnetic resonance imaging for the early diagnosis of dementia due to Alzheimer's disease in people with mild cognitive impairment.The Cochrane database of systematic reviews · 2020Pooled it
- Gamma frequency sensory stimulation in mild probable Alzheimer's dementia patients: Results of feasibility and pilot studies.PloS one · 2022Trial
- Invariant Texture Features to Gray Level Discretization.Journal of imaging informatics in medicine · 2026Article
- The Relationship Between Polygenic Risk of Depression and Regional Brain Atrophy in Older Adults.International journal of geriatric psychiatry · 2026Article
- Integrating Anatomical Priors Into a Causal Diffusion Model.IEEE transactions on medical imaging · 2026Article
- PredatorNet: a clinically trustworthy deep learning framework for multi-class Alzheimer's disease classification using MRI.Frontiers in aging neuroscience · 2026Article
- Investigating the Amyloid-Tau-Neurodegeneration Framework in Alzheimer's Disease Using Semi-Supervised Multimodal Imaging Data Fusion.medRxiv : the preprint server for health sciences · 2025Article
- Easy-to-use and easy-to-interpret quality control of 3D gradient echo T1-weighted MR acquisition sequences for improved test-retest stability of MRI-based hippocampus volumetry.Journal of Alzheimer's disease : JAD · 2025Article
- Deep Brain Stimulation: Overview and Applications in the Context of Neuropsychiatric Conditions.Cureus · 2025Review
- Are Hippocampal Hypoperfusion and ATP Depletion Prime Movers in the Genesis of Alzheimer's Disease? A Review of Recent Pertinent Observations from Molecular Biology.International journal of molecular sciences · 2025Review
- A FastSurfer Database for Age-Specific Brain Volumes in Healthy Children: A Tool for Quantifying Localized and Global Brain Volume Alterations in Pediatric Patients.Brain and behavior · 2025Article
- MRI Distance Measures as a Predictor of Subsequent Clinical Status During the Preclinical Phase of Alzheimer's Disease and Related Disorders.Human brain mapping · 2025Article
- Reducing inference cost of Alzheimer's disease identification using an uncertainty-aware ensemble of uni-modal and multi-modal learners.Scientific reports · 2025Article
- The Association between the rs6656401 Locus of the CR1 Gene and Structural Alterations of Brain Effects in Han Chinese Patients with Alzheimer's Disease.Current Alzheimer research · 2025Article
- Explainable early detection of Alzheimer's disease using ROIs and an ensemble of 138 3D vision transformers.Scientific reports · 2024Article
- Why experimental variation in neuroimaging should be embraced.Nature communications · 2024Review
- Reduced expression of fMRI subsequent memory effects with increasing severity across the Alzheimer's disease risk spectrum.Imaging neuroscience (Cambridge, Mass.) · 2024Article
7 more citing papers are in PubMed but not listed here.
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Authors and funding
5 authors.
Funding
Abstract
Magnetic resonance (MR) imaging is a powerful technique for non-invasive in-vivo imaging of the human brain. We employed a recently validated method for robust cross-sectional and longitudinal segmentation of MR brain images from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort. Specifically, we segmented 5074 MR brain images into 138 anatomical regions and extracted time-point specific structural volumes and volume change during follow-up intervals of 12 or 24 months. We assessed the extracted biomarkers by determining their power to predict diagnostic classification and by comparing atrophy rates to published meta-studies. The approach enables comprehensive analysis of structural changes within the whole brain. The discriminative power of individual biomarkers (volumes/atrophy rates) is on par with results published by other groups. We publish all quality-checked brain masks, structural segmentations, and extracted biomarkers along with this article. We further share the methodology for brain extraction (pincram) and segmentation (MALPEM, MALPEM4D) as open source projects with the community. The identified biomarkers hold great potential for deeper analysis, and the validated methodology can readily be applied to other imaging cohorts.
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