人口聚类结构性大脑衰老及其与大脑发育的关联
Haojing Duan1,2, Runye Shi3, Jujiao Kang1,2
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
medRxiv : the preprint server for health sciences
|January 23, 2024
概括
在超过37,000名个体中,两种不同的大脑衰老模式被确定. 加快的大脑衰老与更快的生物衰老,认知衰退和神经精神疾病风险更高相关.
科学领域:
- 神经科学是一个神经科学.
- 遗传学 遗传学 是一个
- 老年学是一门学科.
背景情况:
- 大脑衰老表现出显著的个体变异性,经常反映出发育模式.
- 有限的纵向数据阻碍了对结构性大脑衰老的全面理解.
- 现有的研究主要依赖于横截面数据,缺少发展轨迹.
研究的目的:
- 用数据驱动的方法识别结构性大脑衰老的不同模式.
- 研究加速大脑衰老与生物衰老,认知功能和遗传倾向之间的关系.
- 验证大脑发育和衰老中的"最后进去,第一走出去"假设,并确定潜在的遗传因素.
主要方法:
- 利用一个大规模的数据集 (英国生物库,N=37,013) 结合横截面和纵向神经成像数据.
- 来自多中心青少年队列的综合数据用于纵向验证.
- 进行基因组分析以确定与大脑衰老和发育相关的风险位点和基因.
主要成果:
- 确定了两个不同的结构性大脑衰老模式.
- 加快的大脑衰老与加速的生物衰老,认知衰退和增加对神经精神疾病的遗传易感性有关.
- 验证了"最后进入,第一个出去"的镜像假设,确定了特定的大脑区域,显示出发育和衰老的反向模式. 基因组分析确定了加速衰老和发育延迟的风险位置.
结论:
- 结构性大脑衰老是异质的,可以识别的模式与更广泛的生物和认知健康有关.
- "最后进来,先出去"原则是理解大脑衰老和发育的一个有效模型.
- 基因组洞察力为理解大脑衰老和相关疾病提供了分子基础.
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