调查灰色物质体积轨迹通过个人层面的寿命
Runye Shi1, Shitong Xiang2,3, Tianye Jia2,3,4,5,6
1School of Data Science, Fudan University, Shanghai, China.
Nature communications
|July 15, 2024
概括
青少年大脑发育显示了灰色物质体积 (GMV) 在三个组的不同模式. 这些神经发育轨迹会影响认知表现,并可能受到遗传学和环境的影响.
科学领域:
- 神经科学是一个神经科学.
- 发展心理学 发展心理学
- 遗传学 是一个遗传学.
背景情况:
- 青少年大脑发育表现出显著的个体变化.
- 以前的研究往往侧重于人口平均值,忽视了这种异质性的神经生物学基础.
- 纵向神经成像研究对于理解发育轨迹至关重要.
研究的目的:
- 在青少年中识别全脑灰质体积 (GMV) 的明显发育模式.
- 研究青少年大脑发育中的个体差异的神经生物学基础.
- 探索这些发育模式对成年人的长期影响.
主要方法:
- 使用了IMAGEN青少年队列与9年的纵向数据 (年龄14-23岁).
- 分析整个大脑灰质体积 (GMV),以确定不同的发育轨迹.
- 与神经认知性能,表观遗传因素,环境负担和遗传变异相关的神经发育模式.
- 使用英国生物银行队列对成年神经发育轨迹的验证结果.
主要成果:
- 根据GMV模式确定了三个不同的青少年神经发育群体.
- 第1组:降低GMV,提高神经认知能力.
- 组2:更慢的GMV下降,较低的神经认知性能,与表观遗传学和环境有关.
- 第三组:增加GMV,较低的基线性能,与遗传变异有关.
- 在中晚成年期观察到这些差异的潜在减弱.
结论:
- 青少年大脑发育的特点是基于GMV轨迹的独特,可识别的集群.
- 神经发育的异质性受到遗传,表观遗传和环境因素的复杂相互作用的影响.
- 这些独特的发育途径对神经认知结果有影响,并且可能在成年后长期持续或减弱.
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