ArticleJournal of the International Neuropsychological Society : JINS2019
Differentiating Between Healthy Control Participants and Those with Mild Cognitive Impairment Using Volumetric MRI Data.
Article in Journal of the International Neuropsychological Society : JINS, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Trial
- Novel salivary biomarkers of Alzheimer's disease identified by integrated metabolomics and microbiomics analysis.Clinical oral investigations · 2026Article
- Convergence of Accelerated Brain Volume Decline in Normal Aging and Alzheimer's Disease Pathology.Journal of Alzheimer's disease : JAD · 2024Article
- Volume changes of hippocampal and amygdala subfields in patients with mild cognitive impairment and Alzheimer's disease.Acta neurologica Belgica · 2023Article
- An Optimized Deep Learning Model for Predicting Mild Cognitive Impairment Using Structural MRI.Sensors (Basel, Switzerland) · 2023Article
- FreeSurfer-based segmentation of hippocampal subfields: A review of methods and applications, with a novel quality control procedure for ENIGMA studies and other collaborative efforts.Human brain mapping · 2022Review
- Quantitative Analysis of Synthetic Magnetic Resonance Imaging in Alzheimer's Disease.Frontiers in aging neuroscience · 2021Article
- Aberrant Changes in Cortical Complexity in Right-Onset Versus Left-Onset Parkinson's Disease in Early-Stage.Frontiers in aging neuroscience · 2021Article
- Early Detection of Alzheimer's Disease: Detecting Asymmetries with a Return Random Walk Link Predictor.Entropy (Basel, Switzerland) · 2020Article
- Dynamics and Concordance Abnormalities Among Indices of Intrinsic Brain Activity in Individuals With Subjective Cognitive Decline: A Temporal Dynamics Resting-State Functional Magnetic Resonance Imaging Analysis.Frontiers in aging neuroscience · 2020Article
- Focal hippocampal subfield atrophy in cognitively impaired relative to cognitively unimpaired older adults is associated with memory ability.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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Authors and funding
10 authors.
Funding
Abstract
objectiveTo determine whether volumetric measures of the hippocampus, entorhinal cortex, and other cortical measures can differentiate between cognitively normal individuals and subjects with mild cognitive impairment (MCI).
methodMagnetic resonance imaging (MRI) data from 46 cognitively normal subjects and 50 subjects with MCI as part of the Boston University Alzheimer's Disease Center research registry and the Alzheimer's Disease Neuroimaging Initiative were used in this cross-sectional study. Cortical, subcortical, and hippocampal subfield volumes were generated from each subject's MRI data using FreeSurfer v6.0. Nominal logistic regression models containing these variables were used to identify subjects as control or MCI.
resultsA model containing regions of interest (superior temporal cortex, caudal anterior cingulate, pars opercularis, subiculum, precentral cortex, caudal middle frontal cortex, rostral middle frontal cortex, pars orbitalis, middle temporal cortex, insula, banks of the superior temporal sulcus, parasubiculum, paracentral lobule) fit the data best (R2 = .7310, whole model test chi-square = 97.16, p < .0001).
conclusionsMRI data correctly classified most subjects using measures of selected medial temporal lobe structures in combination with those from other cortical areas, yielding an overall classification accuracy of 93.75%. These findings support the notion that, while volumes of medial temporal lobe regions differ between cognitively normal and MCI subjects, differences that can be used to distinguish between these two populations are present elsewhere in the brain.
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