Imms Phoebe, Chaudhari Nikhil N, Chowdhury Nahian F, Wang Haoqing, Yu Xiaokun, Amgalan Anar, Irimia Andrei
Leonard Davis School of Gerontology, University of Southern California, 3715 McClintock Ave, Los Angeles, CA, 90089, USA.
Department of Biomedical Engineering, Viterbi School of Engineering, Corwin D. Denney Research Center, University of Southern California, 1042 Downey Way, Los Angeles, CA, 90089, USA.
Geroscience. 2025 Feb;47(1):915-934. doi: 10.1007/s11357-024-01310-0. Epub 2024 Aug 17.
Identifying cognitively normal (CN) older adults who will convert to cognitive impairment (CI) due to Alzheimer's disease is crucial for early intervention. Clinical and neuroimaging measures were acquired from 301 CN adults who converted to CI within 15 years of baseline, and 294 who did not. Regional volumes and brain age measures were extracted from T-weighted magnetic resonance images. Linear discriminant analysis compared non-converters' characteristics against those of short-, mid-, and long-term converters. Conversion was associated with clinical measures such as hearing impairment and self-reported memory decline. Converters' brain volumes were smaller than non-converters' across 48 frontal, temporal, and subcortical structures. Brain age measures of 12 structures were correlated with shorter times to conversion. Conversion prediction accuracy increased from 81.5% to 90.5% as time to conversion decreased. Proximity to CI conversion is foreshadowed by anatomic features of brain aging that enhance the accuracy of predicting conversion.
识别因阿尔茨海默病而将转变为认知障碍（CI）的认知正常（CN）老年人对于早期干预至关重要。从301名在基线后15年内转变为CI的CN成年人以及294名未转变的成年人中获取了临床和神经影像学测量数据。从T加权磁共振图像中提取区域体积和脑龄测量值。线性判别分析将未转变者的特征与短期、中期和长期转变者的特征进行了比较。转变与听力障碍和自我报告的记忆衰退等临床测量指标相关。在48个额叶、颞叶和皮质下结构中，转变者的脑体积小于未转变者。12个结构的脑龄测量值与较短的转变时间相关。随着转变时间的减少，转变预测准确率从81.5%提高到90.5%。接近CI转变可由脑老化的解剖特征预示，这提高了预测转变的准确性。
