Trial reportJournal of internal medicine2013
An MRI-based index to measure the severity of Alzheimer's disease-like structural pattern in subjects with mild cognitive impairment.
Trial report in Journal of internal medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.
- From Single-Modal to Multi-Modal Artificial Intelligence in Alzheimer's Disease: A Systematic Review of Databases, Modalities, Diagnostic Performance, and Clinical Translation Challenges.Sensors (Basel, Switzerland) · 2026Pooled 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
- Total and Structural Carotid Artery Stiffness Are Associated With Cognitive Decline and Structural Brain Abnormalities Related to Alzheimer Disease and Alzheimer Disease-Related Dementias Pathology: The Multi-Ethnic Study of Atherosclerosis.Journal of the American Heart Association · 2025Article
- Predicting progression from subjective cognitive decline to mild cognitive impairment or dementia based on brain atrophy patterns.Alzheimer's research & therapy · 2024Article
- CT-based volumetric measures obtained through deep learning: Association with biomarkers of neurodegeneration.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Decoding the heterogeneity of Alzheimer's disease diagnosis and progression using multilayer networks.Molecular psychiatry · 2023Article
- Brain signatures based on structural MRI: Classification for MCI, PMCI, and AD.Human brain mapping · 2022Article
- Multiple-region grey matter atrophy as a predictor for the development of dementia in a community: the Hisayama Study.Journal of neurology, neurosurgery, and psychiatry · 2022Article
- Validation of the Alzheimer's disease-resemblance atrophy index in classifying and predicting progression in Alzheimer's disease.Frontiers in aging neuroscience · 2022Article
- Pursuit of precision medicine: Systems biology approaches in Alzheimer's disease mouse models.Neurobiology of disease · 2021Review
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- Article
- Microglial activation in early Alzheimer trajectory is associated with higher gray matter volume.Neurology · 2019Article
- Stability of graph theoretical measures in structural brain networks in Alzheimer's disease.Scientific reports · 2018Article
- The A/T/N biomarker scheme and patterns of brain atrophy assessed in mild cognitive impairment.Scientific reports · 2018Article
- A 'Disease Severity Index' to identify individuals with Subjective Memory Decline who will progress to mild cognitive impairment or dementia.Scientific reports · 2017Article
- Monitoring disease progression in mild cognitive impairment: Associations between atrophy patterns, cognition, APOE and amyloid.NeuroImage. Clinical · 2017Article
- Neuro-degeneration profile of Alzheimer's patients: A brain morphometry study.NeuroImage. Clinical · 2017Article
- Prediction and classification of Alzheimer disease based on quantification of MRI deformation.PloS one · 2017Article
- Early Prediction of Alzheimer's Disease Using Null Longitudinal Model-Based Classifiers.PloS one · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 7 institutions in 7 countries.
Funding
Abstract
backgroundStructural magnetic resonance imaging (MRI) is sensitive to neurodegeneration and can be used to estimate the risk of converting to Alzheimer's disease (AD) in individuals with mild cognitive impairment (MCI). Brain changes in AD and prodromal AD involve a pattern of widespread atrophy. The use of multivariate analysis algorithms could enable the development of diagnostic tools based on structural MRI data. In this study, we investigated the possibility of combining multiple MRI features in the form of a severity index.
methodsWe used baseline MRI scans from two large multicentre cohorts (AddNeuroMed and ADNI). On the basis of volumetric and cortical thickness measures at baseline with AD cases and healthy control (CTL) subjects as training sets, we generated an MRI-based severity index using the method of orthogonal projection to latent structures (OPLS). The severity index tends to be close to 1 for AD patients and 0 for CTL subjects. Values above 0.5 indicate a more AD-like pattern. The index was then estimated for subjects with MCI, and the accuracy of classification was investigated.
resultsBased on the data at follow-up, 173 subjects converted to AD, of whom 112 (64.7%) were classified as AD-like and 61 (35.3%) as CTL-like.
conclusionWe found that joint evaluation of multiple brain regions provided accurate discrimination between progressive and stable MCI, with better performance than hippocampal volume alone, or a limited set of features. A major challenge is still to determine optimal cut-off points for such parameters and to compare their relative reliability.
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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.