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视网膜拓扑编码组织了内部和外部导向的脑网络之间的相互作用。

Retinotopic coding organizes the interaction between internally and externally oriented brain networks.

作者信息

Steel Adam, Angeli Peter A, Silson Edward H, Robertson Caroline E

机构信息

Beckman Institute, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.

Department of Psychology, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.

出版信息

bioRxiv. 2024 Nov 4:2024.09.25.615084. doi: 10.1101/2024.09.25.615084.

Abstract

The human brain seamlessly integrates internally generated thoughts with incoming sensory information, yet the networks supporting internal (default network, DN) and external (dorsal attention network, dATN) processing are traditionally viewed as antagonistic. This raises a crucial question: how does the brain integrate information between these seemingly opposed systems? Here, using precision neuroimaging methods, we show that these internal/external networks are not as dissociated as traditionally thought. Using densely-sampled 7T fMRI data, we defined individualized whole-brain networks from participants at rest and calculated the retinotopic preferences of individual voxels within these networks during an visual mapping task. We show that while the overall network activity between the DN and dATN is independent at rest, considering a latent retinotopic code reveals a complex, voxel-scale interaction stratified by visual responsiveness. Specifically, the interaction between the DN and dATN at rest is structured at the voxel-level by each voxel's retinotopic preferences, such that the spontaneous activity of voxels preferring similar visual field locations is more anti-correlated than that of voxels preferring different visual field locations. Further, this retinotopic scaffold integrates with the domain-specific preferences of subregions within these networks, enabling efficient, parallel processing of retinotopic and domain-specific information. Thus, DN and dATN are not independent at rest: voxel-scale interaction between these networks preserves and encodes information in both positive and negative BOLD responses, even in the absence of visual input or task demands. These findings suggest that retinotopic coding may serve as a fundamental organizing principle for brain-wide communication, providing a new framework for understanding how the brain balances and integrates internal cognition with external perception.

摘要

人类大脑能够将内部产生的思想与传入的感官信息无缝整合,然而,传统上认为支持内部(默认网络,DN)和外部(背侧注意网络,dATN)处理的网络是相互对立的。这就引出了一个关键问题:大脑如何在这些看似对立的系统之间整合信息?在这里,我们使用精确神经成像方法表明,这些内部/外部网络并不像传统认为的那样相互分离。利用密集采样的7T功能磁共振成像(fMRI)数据,我们在参与者静息状态下定义了个体化的全脑网络,并在视觉映射任务期间计算了这些网络内各个体素的视网膜拓扑偏好。我们表明,虽然DN和dATN之间的整体网络活动在静息状态下是独立的,但考虑到潜在的视网膜拓扑编码会揭示一种复杂的、体素尺度的相互作用,这种相互作用按视觉反应性分层。具体而言,DN和dATN在静息状态下的相互作用在体素水平上由每个体素的视网膜拓扑偏好构成,使得偏好相似视野位置的体素的自发活动比偏好不同视野位置的体素的自发活动更具反相关性。此外,这种视网膜拓扑支架与这些网络内子区域的特定领域偏好相结合,实现了视网膜拓扑和特定领域信息的高效并行处理。因此,DN和dATN在静息状态下并非独立:这些网络之间的体素尺度相互作用在正性和负性BOLD反应中都保留并编码信息,即使在没有视觉输入或任务需求的情况下也是如此。这些发现表明,视网膜拓扑编码可能作为全脑通信的基本组织原则,为理解大脑如何平衡并整合内部认知与外部感知提供了一个新框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdf8/11562189/dc709f248ea2/nihpp-2024.09.25.615084v2-f0001.jpg

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