校准对称性打破支持语言大脑网络的功能转换

Tommaso Gili, Bryant Avila, Luca Pasquini, Andrei Holodny, David Phillips, Paolo Boldi, Andrea Gabrielli, Guido Caldarelli, Manuel Zimmer, Hernán A. Makse
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引用次数: 0

摘要

物理学家弗兰克-威尔切克(Frank Wilczek)在其著作《一个美丽的问题》(A Beautiful Question)中指出,对称性是 "大自然的深层设计",支配着从最小粒子到最大结构的宇宙行为。虽然对称性是物理学的基石,但在描述生物系统,尤其是人类大脑时,对称性尚未被广泛应用。在此背景下,我们研究了参与语言的人脑网络,并探索了结构连接(连接组或结构网络)与感兴趣的中观区域(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廷迪核颤的分类概念。通过提出连接组的局部对称理论,我们对人类大脑有了新的认识,该理论解释了大脑网络结构如何决定其连贯活动。在允许的结构连通性模式中,同步会根据大脑的功能参与情况产生不同的对称子集。我们的研究表明,静息状态是大脑同步模式的一种特殊实现方式,其特点是在从静息状态过渡到语言状态时会打破纤维对称性。我们的研究结果表明,大脑在局部水平上的网络对称性决定了它的连贯功能,我们可以从理论上理解这种关系。
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Fibration symmetry-breaking supports functional transitions in a brain network engaged in language
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.
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