Chai Li, Sun Jun, Zhuo Zhizheng, Wei Ren, Xu Xiaolu, Duan Yunyun, Tian Decai, Bai Yutong, Zhang Ningnannan, Li Haiqing, Li Yuxin, Li Yongmei, Zhou Fuqing, Xu Jun, Cole James H, Barkhof Frederik, Zhang Jianguo, Zheng Huaguang, Liu Yaou
Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
J Magn Reson Imaging. 2024 Nov 26. doi: 10.1002/jmri.29667.
The brain aging in the general population and patients with neurological disorders is not well understood.
To characterize brain aging in the above conditions and its clinical relevance.
Retrospective.
A total of 2913 healthy controls (HC), with 1395 females; 331 multiple sclerosis (MS); 189 neuromyelitis optica spectrum disorder (NMOSD); 239 Alzheimer's disease (AD); 244 Parkinson's disease (PD); and 338 cerebral small vessel disease (cSVD).
FIELD STRENGTH/SEQUENCE: 3.0 T/Three-dimensional (3D) T1-weighted images.
The brain age was estimated by our previously developed model, using a 3D convolutional neural network trained on 9794 3D T1-weighted images of healthy individuals. Brain age gap (BAG), the difference between chronological age and estimated brain age, was calculated to represent accelerated and resilient brain conditions. We compared MRI metrics between individuals with accelerated (BAG ≥ 5 years) and resilient brain age (BAG ≤ -5 years) in HC, and correlated BAG with MRI metrics, and cognitive and physical measures across neurological disorders.
Student's t test, Wilcoxon test, chi-square test or Fisher's exact test, and correlation analysis. P < 0.05 was considered statistically significant.
In HC, individuals with accelerated brain age exhibited significantly higher white matter hyperintensity (WMH) and lower regional brain volumes than those with resilient brain age. BAG was significantly higher in MS (10.30 ± 12.6 years), NMOSD (2.96 ± 7.8 years), AD (6.50 ± 6.6 years), PD (4.24 ± 4.8 years), and cSVD (3.24 ± 5.9 years) compared to HC. Increased BAG was significantly associated with regional brain atrophy, WMH burden, and cognitive impairment across neurological disorders. Increased BAG was significantly correlated with physical disability in MS (r = 0.17).
Healthy individuals with accelerated brain age show high WMH burden and regional volume reduction. Neurological disorders exhibit distinct accelerated brain aging, correlated with impaired cognitive and physical function.
4 TECHNICAL EFFICACY: Stage 2.
普通人群和神经疾病患者的大脑衰老情况尚未得到充分了解。
描述上述情况下的大脑衰老及其临床相关性。
回顾性研究。
共有2913名健康对照者(HC),其中女性1395名;331例多发性硬化症(MS)患者;189例视神经脊髓炎谱系障碍(NMOSD)患者;239例阿尔茨海默病(AD)患者;244例帕金森病(PD)患者;以及338例脑小血管病(cSVD)患者。
场强/序列:3.0 T/三维(3D)T1加权图像。
使用我们之前开发的模型估计脑龄,该模型基于对9794例健康个体的3D T1加权图像训练的三维卷积神经网络。计算脑龄差距(BAG),即实际年龄与估计脑龄之间的差值,以代表大脑加速衰老和具有弹性的状况。我们比较了健康对照者中脑龄加速(BAG≥5岁)和脑龄具有弹性(BAG≤-5岁)个体之间的MRI指标,并将BAG与MRI指标以及神经疾病患者的认知和身体测量指标进行了相关性分析。
学生t检验、威尔科克森检验、卡方检验或费舍尔精确检验以及相关性分析。P<0.05被认为具有统计学意义。
在健康对照者中,脑龄加速的个体与脑龄具有弹性的个体相比,表现出显著更高的白质高信号(WMH)和更低的局部脑容量。与健康对照者相比,MS(10.30±12.6岁)、NMOSD(2.96±7.8岁)、AD(6.50±6.6岁)、PD(4.24±4.8岁)和cSVD(3.24±5.9岁)患者的BAG显著更高。在所有神经疾病中,BAG升高与局部脑萎缩、WMH负担和认知障碍显著相关。在MS中,BAG升高与身体残疾显著相关(r=0.17)。
脑龄加速的健康个体表现出高WMH负担和局部脑容量减少。神经疾病表现出明显的大脑加速衰老,与认知和身体功能受损相关。
4级 技术效能:2级