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Fibration symmetry-breaking supports functional transitions in a brain network engaged in language.
Gili, Tommaso; Avila, Bryant; Pasquini, Luca; Holodny, Andrei; Phillips, David; Boldi, Paolo; Gabrielli, Andrea; Caldarelli, Guido; Zimmer, Manuel; Makse, Hernán A.
Afiliação
  • Gili T; Networks Unit, IMT Scuola Alti Studi Lucca, Piazza San Francesco 15, 55100- Lucca, Italy.
  • Avila B; Institute for Complex Systems (ISC), CNR, UoS Sapienza, Rome, 00185, Italy.
  • Pasquini L; Levich Institute and Physics Department, City College of New York, New York, NY 10031, USA.
  • Holodny A; Neuroradiology Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Phillips D; Neuroradiology Unit, NESMOS Department, Sant'Andrea Hospital, La Sapienza University, Rome, 00189, Italy.
  • Boldi P; Neuroradiology Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Gabrielli A; Department of Neurology and Neuroscience, Weill Medical College of Cornell University, New York, NY, 10021, USA.
  • Caldarelli G; Department of Radiology, Weill Medical College of Cornell University, New York, NY 10065, USA.
  • Zimmer M; Division of Mathematics, Computer and Information Systems, Office of Naval Research, Arlington, VA 22217, USA.
  • Makse HA; Department of Mechanical Engineering, University of New Mexico, Albuquerque, NM 87131, USA.
Res Sq ; 2024 Jun 07.
Article em En | MEDLINE | ID: mdl-38883794
ABSTRACT
In his book 'A Beautiful Question' 1, 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 1-4. While symmetry is a cornerstone of physics, it has not yet been found widespread applicability to describe biological systems 5, 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 6. 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 7 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.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article