视网管类编码组织了内部和外部导向的大脑网络之间的相互作用
Adam Steel1,2,3,4, Peter A Angeli3, Edward H Silson5
1Beckman Institute, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.
bioRxiv : the preprint server for biology
|October 10, 2024
概括
大脑是大脑的大脑.
科学领域:
- 神经科学是一个神经科学.
- 认知神经科学 认知神经科学
- 神经成像是一种神经成像.
背景情况:
- 默认网络 (DN) 和背部注意网络 (dATN) 传统上被认为是内部和外部处理的对手.
- 了解这些网络之间的整合对于理解大脑功能至关重要.
- 以前的研究认为这些网络在很大程度上是分离的.
研究的目的:
- 为了研究默认网络和静止的背部注意网络之间的voxel尺度相互作用.
- 探索视网膜偏好如何影响内部和外部大脑网络之间的相互作用.
- 为了确定这些网络是否真正独立或表现出协调活动.
主要方法:
- 利用休息时参与者的高分辨率7T fMRI数据.
- 定义的个性化全脑网络 (DN和dATN).
- 在视觉任务期间,在这些网络中映射了这些网络中的单个voxels的视网膜偏好.
主要成果:
- 尽管在静止状态下具有整体独立性,但潜伏的视网膜类代码揭示了DN和dATN之间的复杂的语音尺度相互作用.
- 伏塞尔相互作用是由视网膜偏好构成的:相似的视野偏好导致抗相关活性.
- 这种视网膜组织可以与特定域的网络偏好进行集成,从而实现并行处理.
结论:
- 默认网络和背部注意网络在静止状态下不是独立的;它们在voxel层面上相互作用.
- 沃克塞尔级互动通过BOLD响应保存和编码信息,即使没有外部刺激.
- 视网管类编码可能是组织大脑范围通信和整合内部/外部处理的基本原则.
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