Estimated Brain Age in Healthy Aging and Across Multiple Neurological Disorders.

IF 3.3 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Li Chai, Jun Sun, Zhizheng Zhuo, Ren Wei, Xiaolu Xu, Yunyun Duan, Decai Tian, Yutong Bai, Ningnannan Zhang, Haiqing Li, Yuxin Li, Yongmei Li, Fuqing Zhou, Jun Xu, James H Cole, Frederik Barkhof, Jianguo Zhang, Huaguang Zheng, Yaou Liu
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Abstract

Background: The brain aging in the general population and patients with neurological disorders is not well understood.

Purpose: To characterize brain aging in the above conditions and its clinical relevance.

Study type: Retrospective.

Population: 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.

Assessment: 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.

Statistical tests: Student's t test, Wilcoxon test, chi-square test or Fisher's exact test, and correlation analysis. P < 0.05 was considered statistically significant.

Results: 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).

Data conclusion: 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.

Level of evidence: 4 TECHNICAL EFFICACY: Stage 2.

健康老龄化和多种神经系统疾病的估计脑龄。
背景:普通人群和神经系统疾病患者的脑衰老情况尚不十分清楚:目的:描述上述情况下大脑老化的特征及其临床意义:研究类型:回顾性研究:共有 2913 名健康对照组 (HC),其中女性 1395 名;331 名多发性硬化症 (MS);189 名神经脊髓炎视网膜频谱障碍 (NMOSD);239 名阿尔茨海默病 (AD);244 名帕金森病 (PD);338 名脑小血管病 (cSVD):3.0 T/三维(3D)T1加权图像:脑年龄由我们先前开发的模型估算,该模型使用在9794张健康人三维T1加权图像上训练的三维卷积神经网络。脑年龄差距(BAG)是指年代年龄与估计脑年龄之间的差值,通过计算得出,它代表了加速脑衰老和恢复脑衰老的情况。我们比较了HC中加速脑龄(BAG≥5岁)和弹性脑龄(BAG≤-5岁)个体之间的核磁共振成像指标,并将BAG与核磁共振成像指标以及神经系统疾病的认知和身体测量指标相关联:统计检验:学生 t 检验、Wilcoxon 检验、卡方检验或费雪精确检验以及相关分析。P 结果:在 HC 中,脑龄加速者的白质高密度(WMH)明显高于脑龄恢复者,而脑区域体积则低于脑龄恢复者。与 HC 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)的 BAG 明显更高。在所有神经系统疾病中,BAG的增加与区域性脑萎缩、WMH负担和认知障碍有明显相关性。BAG的增加与多发性硬化症的身体残疾有明显相关性(r = 0.17):数据结论:大脑加速老化的健康人表现出较高的 WMH 负担和区域体积缩小。神经系统疾病表现出明显的加速脑衰老,与认知和身体功能受损相关:4 技术功效:第 2 阶段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
9.70
自引率
6.80%
发文量
494
审稿时长
2 months
期刊介绍: The Journal of Magnetic Resonance Imaging (JMRI) is an international journal devoted to the timely publication of basic and clinical research, educational and review articles, and other information related to the diagnostic applications of magnetic resonance.
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