功能性大脑网络的共同代表是由皮质神经架构塑造的,并揭示了个人的行为能力
Congying Chu1,2, Wen Li1,3, Weiyang Shi1
1Brainnetome Center, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
概括
人类大脑使用空间蓝图协调功能网络. 这种由特异性 (CoRS) 和强度 (CoRI) 衡量的共同表示模式是由大脑结构塑造的,并预测行为.
科学领域:
- 神经科学是一个神经科学.
- 脑部成像 脑部成像
- 在Connectomics上,我们提供了连接.
背景情况:
- 大规模的功能性大脑网络在空间上分布.
- 了解这些网络之间的空间协调及其生物相关性至关重要,但不完整.
- 现有的方法缺乏一个全面的框架来量化网络的空间关系.
研究的目的:
- 介绍和定义功能大脑网络的共同代表的概念.
- 开发定量指数,共同代表性特异性 (CoRS) 和共同代表性强度 (CoRI),以衡量这种协调.
- 调查网络共同代表的解剖学和功能基础.
主要方法:
- 利用功能性MRI数据来得出规范的个性化功能性大脑网络.
- 定义并计算了CoRS和CoRI索引,以量化大脑各个位置的网络共同表示模式.
- 评估了共同代表性模式与细胞架构,骨髓架构和转录组形状之间的关联.
- 与个人的行为能力相关联的共同代表性模式.
主要成果:
- 鉴定了一种由感觉-逃生轴沿着皮层区域定的共同代表性模式,在初级,异模和副边形区域具有明显的CORS和CORI配置文件.
- 证明骨髓架构显著影响共同代表的空间分布.
- 表明共同代表模式可以预测个人的行为表现.
结论:
- 功能性大脑网络的空间协调是由一个解剖蓝图组织的,可能与骨髓架构有关.
- 功能网络的共同代表对于高效的神经信息处理和个体行为至关重要.
- 这项研究通过突出功能网络的组装,促进了对大脑地形组织的理解.
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