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大脑预测年龄差异与晚年认知加工有关。

Brain-predicted age difference is associated with cognitive processing in later-life.

机构信息

School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.

Monash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia; Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, Australia; Australian Research Council Centre of Excellence for Integrative Brain Function, Clayton, Victoria, Australia.

出版信息

Neurobiol Aging. 2022 Jan;109:195-203. doi: 10.1016/j.neurobiolaging.2021.10.007. Epub 2021 Oct 20.

Abstract

Brain age is a neuroimaging-based biomarker of aging. This study examined whether the difference between brain age and chronological age (brain-PAD) is associated with cognitive function at baseline and longitudinally. Participants were relatively healthy, predominantly white community-dwelling older adults (n = 531, aged ≥70 years), with high educational attainment (61% ≥12 years) and socioeconomic status (59% ≥75th percentile). Brain age was estimated from T1-weighted magnetic resonance images using an algorithm by Cole et al., 2018. After controlling for age, gender, education, depression and body mass index, brain-PAD was negatively associated with psychomotor speed (Symbol Digit Modalities Test) at baseline (Bonferroni p < 0.006), but was not associated with baseline verbal fluency (Controlled Oral Word Association Test), delayed recall (Hopkins Learning Test Revised), or general cognitive status (Mini-Mental State Examination). Baseline brain-PAD was not associated with 3-year change in cognition (Bonferroni p > 0.006). These findings indicate that even in relatively healthy older people, accelerated brain aging is associated with worse psychomotor speed, but future longitudinal research into changes in brain-PAD is needed.

摘要

脑龄是一种基于神经影像学的衰老生物标志物。本研究探讨了脑龄与实际年龄(脑龄与实际年龄的差值,即 brain-PAD)之间的差异是否与基线和纵向认知功能相关。参与者为相对健康、以白人为主、居住在社区的老年人(n=531,年龄≥70 岁),具有较高的教育程度(61%≥12 年)和社会经济地位(59%≥75%分位数)。脑龄通过 Cole 等人 2018 年开发的算法,从 T1 加权磁共振图像中估算得出。在控制年龄、性别、教育程度、抑郁和体重指数后,brain-PAD 与基线时的运动速度(符号数字模态测试)呈负相关(Bonferroni p<0.006),但与基线时的语言流畅性(受控口头单词联想测试)、延迟回忆(霍普金斯学习测试修订版)或一般认知状态(简易精神状态检查)无关。基线时的 brain-PAD 与 3 年内认知变化无关(Bonferroni p>0.006)。这些发现表明,即使在相对健康的老年人中,大脑衰老加速也与运动速度下降有关,但需要进一步开展关于 brain-PAD 变化的纵向研究。

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Brain-predicted age difference is associated with cognitive processing in later-life.大脑预测年龄差异与晚年认知加工有关。
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