ArticleJournal of Alzheimer's disease : JAD2015
Corpus callosum atrophy rate in mild cognitive impairment and prodromal Alzheimer's disease.
Article in Journal of Alzheimer's disease : JAD, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 39 citations in OpenAlex.
- Corpus Callosum Segmentation on Structural MRI Using Multi-atlas Deformable Registration.Neuroinformatics · 2026Article
- Volume Changes in Brain Subfields of Patients with Alzheimer's Disease After Transcranial Ultrasound Stimulation.Diagnostics (Basel, Switzerland) · 2025Article
- Ideational Slippage in Middle-Aged and Older Adults: A Preliminary Study.International journal of environmental research and public health · 2024Article
- Comprehensive assessment of fine motor movement and cognitive function among older adults in China: a cross-sectional study.BMC geriatrics · 2024Article
- Spectris™ treatment preserves corpus callosum structure in Alzheimer's disease.Frontiers in neurology · 2024Article
- Finger Tapping Test for Assessing the Risk of Mild Cognitive Impairment.Hong Kong journal of occupational therapy : HKJOT · 2022Article
- Scaling Principles of White Matter Connectivity in the Human and Nonhuman Primate Brain.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Irritable Bowel Syndrome, Depression, and Neurodegeneration: A Bidirectional Communication from Gut to Brain.Nutrients · 2021Review
- Early diagnosis of Alzheimer's disease on ADNI data using novel longitudinal score based on functional principal component analysis.Journal of medical imaging (Bellingham, Wash.) · 2021Article
- Shape Profile of Corpus Callosum As a Signature to Phenotype Different Dementia.Journal of neurosciences in rural practice · 2021Article
- Alteration of the corpus callosum in patients with Alzheimer's disease: Deep learning-based assessment.PloS one · 2021Article
- Reduced fractional anisotropy of the genu of the corpus callosum as a cerebrovascular disease marker and predictor of longitudinal cognition in MCI.Neurobiology of aging · 2020Article
- Using machine learning to quantify structural MRI neurodegeneration patterns of Alzheimer's disease into dementia score: Independent validation on 8,834 images from ADNI, AIBL, OASIS, and MIRIAD databases.Human brain mapping · 2020Article
- Quantitative Trait Module-Based Genetic Analysis of Alzheimer's Disease.International journal of molecular sciences · 2019Article
- Callosal thickness profiles for prognosticating conversion from mild cognitive impairment to Alzheimer's disease: A classification approach.Brain and behavior · 2018Article
- Automatic Segmentation of Corpus Callosum in Midsagittal Based on Bayesian Inference Consisting of Sparse Representation Error and Multi-Atlas Voting.Frontiers in neuroscience · 2018Article
- Recent publications from the Alzheimer's Disease Neuroimaging Initiative: Reviewing progress toward improved AD clinical trials.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2017Review
- Detection of Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using Longitudinal Brain MRI.Frontiers in neuroinformatics · 2017Article
- Predicting progression from mild cognitive impairment to Alzheimer's disease using longitudinal callosal atrophy.Alzheimer's & dementia (Amsterdam, Netherlands) · 2016Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundCorpus callosum (CC) size and shape have been previously studied in Alzheimer's disease (AD) with the majority of studies having been cross-sectional. Due to the large variance in normal CC morphology, cross-sectional studies are limited in statistical power. Determining individual rates of change requires longitudinal data. Physiological changes are particularly relevant in mild cognitive impairment (MCI), in which CC morphology has not been previously studied longitudinally.
objectiveTo study temporal rates of change in CC morphology in MCI patients over a one-year period, and to determine whether these rates differ between MCI subjects who converted to AD (MCI-C) and those who did not (MCI-NC) over an average (±SD) observation period of 5.4 (±1.6) years.
methodsWe used a novel multi-atlas based algorithm to segment the mid-sagittal cross-sectional area of the CC in longitudinal MRI scans. Rates of change of CC circularity, total area, and five sub-areas were compared between 57 MCI-NC and 81 MCI-C subjects.
resultsThe CC became less circular (-0.89% per year in MCI-NC, -1.85% per year in MCI-C) with time, with faster decline in MCI-C (p = 0.0002). In females, atrophy rates were higher in MCI-C relative to MCI-NC in total CC area (p = 0.0006), genu/rostrum (p = 0.005), and splenium (0.002). In males, these rates did not differ between groups.
conclusionA greater than normal decline in CC circularity was shown to be an indicator of prodromal AD in MCI subjects. This measure is potentially useful as an imaging biomarker of disease and a therapeutic target in clinical 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.