Villegas P, Hidalgo J, Moretti P, Muñoz MÁ (2016)
Publication Language: English
Publication Type: Book chapter / Article in edited volumes
Publication year: 2016
Edited Volumes: Proceedings of ECCS 2014
Series: Springer Proceedings in Complexity
Pages Range: 69 - 80
URI: http://link.springer.com/chapter/10.1007%2F978-3-319-29228-1_7
DOI: 10.1007/978-3-319-29228-1_7
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.
APA:
Villegas, P., Hidalgo, J., Moretti, P., & Muñoz, M.Á. (2016). Complex Synchronization Patterns in the Human Connectome Network. In Proceedings of ECCS 2014. (pp. 69 - 80).
MLA:
Villegas, Pablo, et al. "Complex Synchronization Patterns in the Human Connectome Network." Proceedings of ECCS 2014. 2016. 69 - 80.
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