Mapping Divergent Subfield-Specific Hippocampal Degeneration in Mild Cognitive Impairment Continuum: Volumetric, Cognitive, and Genetic Predictors of Accelerated Hippocampal Biological Aging

绘制轻度认知障碍连续谱中海马亚区特异性退化的图谱:加速海马生物衰老的体积、认知和遗传预测因子

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Abstract

OBJECTIVE: To investigate hippocampal subfield atrophy and biological aging across the mild cognitive impairment (MCI) continuum, we used data from the Alzheimer's Disease Neuroimaging Initiative (ADNI). METHODS: A cohort of 49 participants, categorized as cognitively normal (CN, n = 16), early MCI (EMCI, n = 16), or late MCI (LMCI, n = 17), underwent comprehensive neuroimaging, neuropsychological, and genetic assessments. High-resolution 3D T1-weighted MRI scans were processed using the volBrain platform and hippocampal subfield segmentation (HIPS) pipeline to quantify hippocampal subfield volumes and estimate biological age. Statistical analyses, including ANCOVA and stepwise regression, were employed to evaluate group differences and identify predictors of hippocampal biological age. RESULTS: The results revealed significant volumetric reductions in LMCI, particularly within the CA1, CA4/dentate gyrus (DG), and stratum radiatum/lacunosum/moleculare (SRLM) subfields, with pronounced lateralized effects. Clinical and demographic covariates attenuated group differences in biological age, but volumetric adjustments highlighted a significant distinction between EMCI and LMCI, with EMCI exhibiting a higher biological age. Cognitive performance, as measured by the Montreal Cognitive Assessment (MoCA), emerged as a consistent predictor of biological age, while APOE ε4 carrier status was significantly elevated in LMCI patients. Regression analyses identified divergent contributions of CA2/3 (positively associated) and CA4/DG (negatively associated) volumes to biological age, underscoring the subfield-specific pathophysiological mechanisms. Asymmetry indices, although variably expressed across groups, offered limited predictive utility, with CA2/3 and CA4/DG asymmetries modestly influencing biological age. CONCLUSION: These findings support the integration of subfield-specific hippocampal volumetry and cognitive assessments in early diagnostic frameworks while highlighting the need for longitudinal studies to elucidate causal pathways linking subfield atrophy, biological aging, and cognitive decline.

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