Complex Synchronization Patterns in the Human Connectome Network

Beitrag in einem Sammelwerk

Details zur Publikation

Autor(en): Villegas P, Hidalgo J, Moretti P, Muñoz M
Titel Sammelwerk: Proceedings of ECCS 2014
Jahr der Veröffentlichung: 2016
Titel der Reihe: Springer Proceedings in Complexity
Seitenbereich: 69 - 80
Sprache: Englisch


A major challenge in neuroscience is posed by the need for relating the

emerging dynamical features of brain activity with the underlying modular structure

of neural connections, hierarchically organized throughout several scales. The spon-

taneous emergence of coherence and synchronization across such scales is crucial to

neural function, while its anomalies often relate to pathological conditions. Here we

provide a numerical study of synchronization dynamics in the human connectome

network. Our purpose is to provide a detailed characterization of the recently uncov-

ered broad dynamic regime, interposed between order and disorder, which stems from

the hierarchical modular organization of the human connectome. In this regime—

similar in essence to a Griffiths phase—synchronization dynamics are trapped within

metastable attractors of local coherence. Here we explore the role of noise, as an effec-

tive description of external perturbations, and discuss how its presence accounts for

the ability of the system to escape intermittently from such attractors and explore

complex dynamic repertoires of locally coherent states, in analogy with experimen-

tally recorded patterns of cerebral activity.

FAU-Autoren / FAU-Herausgeber

Moretti, Paolo Dr.
Lehrstuhl für Werkstoffsimulation

Autor(en) der externen Einrichtung(en)
Universidad de Granada
University of Padua


Villegas, P., Hidalgo, J., Moretti, P., & Muñoz, M. (2016). Complex Synchronization Patterns in the Human Connectome Network. In Proceedings of ECCS 2014 (pp. 69 - 80).

Villegas, Pablo, et al. "Complex Synchronization Patterns in the Human Connectome Network." Proceedings of ECCS 2014 2016. 69 - 80.


Zuletzt aktualisiert 2018-11-08 um 01:42