数据日期 2026-10-29 · 生成时间 2026-10-29 06:03
研究问题
During aging, the brain undergoes a series of functional and structural changes [1], and these changes exhibit marked interindividual heterogeneity [2].
方法
As part of the UKB study, its imaging extension project was launched in 2014 and has since collected neuroimaging data from a subset of participants; this dataset has grown into one of the largest and most comprehensive neuroimaging datasets to date [26].；The UKB study received ethical approval from the North West Multi-Centre Research Ethics Committee (REC reference: 11/NW/0382), and written informed consent was obtained from all participants prior to data collection.；In brief, each participant’s FA map was nonlinearly registered to the standard Montreal Neurological Institute 152 (MNI152) space using the FMRIB’s Nonlinear Image Registration Tool (FNIRT).；On this basis, a mean WM skeleton was constructed, representing the central portions of the major fiber tracts common to all participants.
核心结论
Nested model comparisons showed that incorporating these patterns significantly improved model fit across all 144 WM metrics—the mean ΔR2 was 0.1897 (range: 0.0020–0.5450), 140 of 144 metrics (97.22%) showed significant improvement based on Bonferroni-corrected likelihood-ratio tests (p < 0.01), and AIC values decreased for every WM metric. ‖ 结论：These findings indicate that WM aging comprises multiple dissociable latent processes rather than a single trajectory.
局限
Unlike previous GAN-based studies, which have focused almost exclusively on GM atrophy or disease-related heterogeneity, the latent dimensional structure of WM microstructural aging has, to our knowledge, not yet been characterized by similar generative frameworks.；Although the present cross-sectional design cannot establish that WM aging represents a reversal of developmental maturation, the spatial configuration of R1 is consistent with this developmental timing framework and suggests that maturational history may contribute to regional differences in WM vulnerability.；Given the cross-sectional design, however, the directionality and causal contribution of these metabolic pathways cannot…
对本项目的价值
★★★☆☆ 脑老化是最大未满足需求，也是终点最难量化的领域；biomarker 与认知读数选择最敏感。队列：UK Biobank；最大样本量约 27,582；设计 横断面、问卷。
全文来源
PMC JATS 全文（正文 62,707 字符，已过标题/DOI 逐字归属校验）
原文题录
- 英文标题：Latent Multidimensional Organization of White Matter Microstructural Aging: A Generative Adversarial Network Disentanglement Study in a Clinically Defined Reference Cohort.
- 期刊与标识：Brain Sci · PMID 42939329 · DOI 10.3390/brainsci16101076**
A 级证据分级：A 级（同行评议人体研究）
本文属人体研究证据，但需注意：观察性或小样本干预的结论不等于已证实临床获益；效应量与长期安全性仍需更大规模、更长随访的试验验证。
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