ArticlePloS one2017
Identification of Early-Stage Alzheimer's Disease Using Sulcal Morphology and Other Common Neuroimaging Indices.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Neuroimaging analyses from a randomized, controlled study to evaluate plasma exchange with albumin replacement in mild-to-moderate Alzheimer's disease: additional results from the AMBAR study.European journal of nuclear medicine and molecular imaging · 2022Trial
- Genetic insights on the mechanisms of human cortical folding.bioRxiv : the preprint server for biology · 2026Article
- Sulcal Widening in Schizophrenia Maps onto Sulcal Hubs and Energy-Synaptic Genes.bioRxiv : the preprint server for biology · 2026Article
- Cortical morphology changes in default mode network regions as predictors of cognitive decline in relation to amyloid and tau deposits.Brain communications · 2025Article
- Early Prediction of Progression to Alzheimer's Disease using Multi-Modality Neuroimages by a Novel Ordinal Learning Model ADPacer.IISE transactions on healthcare systems engineering · 2024Article
- Sulcal Morphometry Predicts Mild Cognitive Impairment Conversion to Alzheimer's Disease.Journal of Alzheimer's disease : JAD · 2024Article
- Cortical morphological changes in multiple sclerosis patients: a study of cortical thickness, sulcal depth, and local gyrification index.Neuroradiology · 2023Article
- Higher performance for women than men in MRI-based Alzheimer's disease detection.Alzheimer's research & therapy · 2023Article
- Surface-based correlates of cognition along the Alzheimer's continuum in a memory clinic population.Frontiers in neurology · 2023Article
- Cognitive Decline Related to Diet Pattern and Nutritional Adequacy in Alzheimer's Disease Using Surface-Based Morphometry.Nutrients · 2022Article
- Advanced Diagnostic Technique for Alzheimer's Disease using MRI Top-Ranked Volume and Surface-based Features.Journal of biomedical physics & engineering · 2022Article
- Impact of Amyloid Pathology in Mild Cognitive Impairment Subjects: The Longitudinal Cognition and Surface Morphometry Data.International journal of molecular sciences · 2022Article
- Genetic map of regional sulcal morphology in the human brain from UK biobank data.Nature communications · 2022Article
- Neuroimaging Studies of Brain Structure in Older Adults with Bipolar Disorder: A Review.Journal of psychiatry and brain science · 2022Article
- Decreased Cortical Thickness and Local Gyrification in Individuals with Subjective Cognitive Impairment.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2021Article
- Brain Shape Changes Associated With Cerebral Atrophy in Healthy Aging and Alzheimer's Disease.Frontiers in Mechanical Engineering · 2021Article
- Predicting Progression from Mild Cognitive Impairment to Alzheimer's Disease using MRI-based Cortical Features and a Two-State Markov Model.Proceedings. IEEE International Symposium on Biomedical Imaging · 2021Article
- Creation of an anthropomorphic CT head phantom for verification of image segmentation.Medical physics · 2020Article
- An evaluation of automated tracing for orbitofrontal cortex sulcogyral pattern typing.Journal of neuroscience methods · 2019Article
- Robust estimation of sulcal morphology.Brain informatics · 2019Article
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9 authors.
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Abstract
Identifying Alzheimer's disease (AD) at its early stage is of major interest in AD research. Previous studies have suggested that abnormalities in regional sulcal width and global sulcal index (g-SI) are characteristics of patients with early-stage AD. In this study, we investigated sulcal width and three other common neuroimaging morphological measures (cortical thickness, cortical volume, and subcortical volume) to identify early-stage AD. These measures were evaluated in 150 participants, including 75 normal controls (NC) and 75 patients with early-stage AD. The global sulcal index (g-SI) and the width of five individual sulci (the superior frontal, intra-parietal, superior temporal, central, and Sylvian fissure) were extracted from 3D T1-weighted images. The discriminative performances of the other three traditional neuroimaging morphological measures were also examined. Information Gain (IG) was used to select a subset of features to provide significant information for separating NC and early-stage AD subjects. Based on the four modalities of the individual measures, i.e., sulcal measures, cortical thickness, cortical volume, subcortical volume, and combinations of these individual measures, three types of classifiers (Naïve Bayes, Logistic Regression and Support Vector Machine) were applied to compare the classification performances. We observed that sulcal measures were either superior than or equal to the other measures used for classification. Specifically, the g-SI and the width of the Sylvian fissure were two of the most sensitive sulcal measures and could be useful neuroanatomical markers for detecting early-stage AD. There were no significant differences between the three classifiers that we tested when using the same neuroanatomical features.
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