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Baseline Brain Volumes Predict Future Brain Atrophy in Mild Cognitive Impairment: A Tensor-Based Morphometry Study of the Alzheimer Continuum Publisher



Mozafar M1, 2 ; Amanollahi M3 ; Sadeghi M1 ; Rafati A4 ; Hejazian SS5 ; Jelodar F1 ; Khodadadi N6 ; Kohanfekr A7 ; Kamali A8
Authors
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Authors Affiliations
  1. 1. Department of Radiology, Tehran University of Medical Sciences, Iran
  2. 2. Department of Surgery, Division of Vascular and Endovascular Surgery, Shohada-Tajrish Medical Center, Shahid Beheshti University of Medical Sciences, Iran
  3. 3. Department of Ophthalmology, Translational Ophthalmology Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Iran
  4. 4. Department of Neurology, Iran University of Medical Sciences, Tehran, Iran
  5. 5. Department of Neurology, Neurosciences Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
  6. 6. Department of Neurology, North Khorasan University of Medical Sciences, Bojnourd, Iran
  7. 7. Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Canada
  8. 8. Department of Diagnostic and Interventional Imaging, University of Texas, Houston Medical School, Memorial Hermann Hospital, TX, United States

Source: Journal of Computer Assisted Tomography Published:2025


Abstract

Objective: Prognostic evaluation of patients with mild cognitive impairment (MCI) is of great importance, and magnetic resonance imaging, as a readily available modality, can play a pivotal role in this field. Methods: Using the Alzheimer Disease Neuroimaging Initiative database, we conducted a retrospective longitudinal study of the associations between volumetric brain magnetic resonance imaging and cognitive composite scores in all domains (memory, executive function, language, and visuospatial) with annual whole-brain atrophy based on tensor-based morphometry (TBM) scores among patients with MCI and healthy controls (HCs). The Reliable Change Index was further used to categorize patients into 2 groups including (1) patients with meaningful 1-year reliable cognitive changes [reliable change (RC) group] and (2) patients without (non-RC). Results: One hundred thirty-seven patients with MCI and 132 HCs were enrolled. The 2 groups showed no significant differences in age, sex, and apolipoprotein E4 expression (P > 0.05). Based on the TBM score, patients with MCI had more significant 1-year brain volume loss than HCs (P < 0.001). After multiple comparison corrections, the 1-year TBM atrophy score was positively correlated with baseline whole brain (P = 0.03), hippocampus (P < 0.0001), entorhinal (P < 0.0001), and middle temporal (P < 0.0001) volumes among MCI patients, indicating that lower volumes in these regions were associated with greater 1-year atrophy rates. Regression analyses showed a positive correlation between baseline and 1-year memory composite scores and annual brain atrophy rate in MCI patients (P = 0.01, 0.04), demonstrating that lower cognitive scores were associated with a greater annual atrophy rate. However, the correlations no longer held significance after correction for multiple comparison (P = 0.05, 0.17). MCI participants with RCs in language composite scores initially had significantly greater brain atrophy than those without (P = 0.03, corrected P = 0.06). However, TBM scores showed no significant differences between RC and non-RC groups for other composite scores (P > 0.05). Conclusions: Lower baseline volumes in multiple brain regions of MCI are associated with greater annual brain volume loss based on TBM, suggesting TBM as a potential imaging marker for conventional volumetric studies in MCI. Further research is needed to explore the link between cognitive scores and the application of Reliable Change Index in TBM imaging across the Alzheimer disease spectrum. © 2025 Wolters Kluwer Health, Inc. Unauthorized reproduction of this article is prohibited.