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纤维对称破缺支持参与语言活动的脑网络中的功能转变。

Fibration symmetry-breaking supports functional transitions in a brain network engaged in language.

作者信息

Gili Tommaso, Avila Bryant, Pasquini Luca, Holodny Andrei, Phillips David, Boldi Paolo, Gabrielli Andrea, Caldarelli Guido, Zimmer Manuel, Makse Hernán A

机构信息

Networks Unit, IMT Scuola Alti Studi Lucca, Piazza San Francesco 15, 55100-Lucca, Italy.

Institute for Complex Systems (ISC), CNR, UoS Sapienza, Rome, 00185, Italy.

出版信息

ArXiv. 2024 Sep 4:arXiv:2409.02674v1.

Abstract

In his book 'A Beautiful Question', physicist Frank Wilczek argues that symmetry is 'nature's deep design,' governing the behavior of the universe, from the smallest particles to the largest structures. While symmetry is a cornerstone of physics, it has not yet been found widespread applicability to describe biological systems, particularly the human brain. In this context, we study the human brain network engaged in language and explore the relationship between the structural connectivity (connectome or structural network) and the emergent synchronization of the mesoscopic regions of interest (functional network). We explain this relationship through a different kind of symmetry than physical symmetry, derived from the categorical notion of Grothendieck fibrations. This introduces a new understanding of the human brain by proposing a local symmetry theory of the connectome, which accounts for how the structure of the brain's network determines its coherent activity. Among the allowed patterns of structural connectivity, synchronization elicits different symmetry subsets according to the functional engagement of the brain. We show that the resting state is a particular realization of the cerebral synchronization pattern characterized by a fibration symmetry that is broken in the transition from rest to language. Our findings suggest that the brain's network symmetry at the local level determines its coherent function, and we can understand this relationship from theoretical principles.

摘要

在物理学家弗兰克·维尔切克所著的《一个美丽的问题》一书中,他认为对称性是“自然的深层设计”,支配着宇宙的行为,从最小的粒子到最大的结构。虽然对称性是物理学的基石,但尚未发现它在描述生物系统,特别是人类大脑方面有广泛的适用性。在此背景下,我们研究参与语言活动的人类大脑网络,并探索结构连通性(连接组或结构网络)与感兴趣的介观区域的涌现同步性(功能网络)之间的关系。我们通过一种不同于物理对称性的对称性来解释这种关系,这种对称性源自格罗滕迪克纤维化的范畴概念。这通过提出连接组的局部对称性理论,对人类大脑引入了一种新的理解,该理论解释了大脑网络的结构如何决定其连贯活动。在允许的结构连通性模式中,同步根据大脑的功能参与引出不同的对称子集。我们表明,静息状态是大脑同步模式的一种特殊实现,其特征是在从静息状态到语言状态的转变中被打破的纤维化对称性。我们的研究结果表明,大脑在局部层面的网络对称性决定了其连贯功能,并且我们可以从理论原理来理解这种关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b361/11398549/f5fc35213a5c/nihpp-2409.02674v1-f0001.jpg

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