大脑布线经济学,网络组织和人口层面的基因组学
Alicja Monaghan1,2, Danyal Akarca1,3, Duncan E Astle1,4
1MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge.
Imaging neuroscience (Cambridge, Mass.)
|August 13, 2025
概括
基因通过影响网络效率来影响大脑结构. 对认知能力的更高遗传倾向导致更高效,随机的大脑网络,这表明遗传因素塑造了大脑组织.
科学领域:
- 神经科学是一个神经科学.
- 遗传学 是一个遗传学.
- 计算生物学 计算生物学
背景情况:
- 人类大脑的结构组织对于认知功能至关重要.
- 了解大脑结构的遗传基础是神经科学的一个关键挑战.
研究的目的:
- 研究常见遗传变异在塑造活人大脑结构组织中的作用.
- 探索对认知能力的遗传倾向与模拟大脑网络属性之间的关系.
主要方法:
- 在2,153名儿童 (9-11岁) 中利用基于扩散的结构神经成像.
- 应用多基因分数来评估对认知能力的遗传影响.
- 运用脑连接体的计算建模,结合了网络形成的成本-价值权衡.
主要成果:
- 具有较高认知能力遗传倾向的个体需要较弱的布线成本惩罚来模拟他们的网络属性.
- 这种较为温和的距离处罚导致了更随机,多样化和高效的模拟网络.
- 在网络模拟中,基因表达数据揭示了多基因分数和最佳成本-价值权衡之间的重叠生物途径.
结论:
- 对认知能力的遗传倾向影响了控制大脑网络结构的经济权衡.
- 整合遗传数据的计算建模提供了关于基因如何塑造大脑组织和功能的见解.
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