E
Enrique C. A. Hansen
Researcher at Aix-Marseille University
Publications - 8
Citations - 793
Enrique C. A. Hansen is an academic researcher from Aix-Marseille University. The author has contributed to research in topics: Resting state fMRI & Dynamic functional connectivity. The author has an hindex of 7, co-authored 8 publications receiving 589 citations. Previous affiliations of Enrique C. A. Hansen include École Normale Supérieure.
Papers
More filters
Journal ArticleDOI
Functional connectivity dynamics: modeling the switching behavior of the resting state.
TL;DR: It is demonstrated that a slight enhancement of the non-linearity of the network nodes is sufficient to broaden the repertoire of possible network behaviors, leading to modes of fluctuations, reminiscent of some of the most frequently observed Resting State Networks.
Journal ArticleDOI
Selective Activation of Resting-State Networks following Focal Stimulation in a Connectome-Based Network Model of the Human Brain.
Andreas Spiegler,Enrique C. A. Hansen,Christophe Bernard,Anthony R. McIntosh,Viktor K. Jirsa +4 more
TL;DR: In this article, the effect of structural connectivity (SC) on the network response to stimulation is investigated. But the extent to which information is processed over short or long-range SC is unclear.
Posted Content
Selective activation of resting state networks following focal stimulation in a connectome- based network model of the human brain
Andreas Spiegler,Enrique C. A. Hansen,Christophe Bernard,Anthony R. McIntosh,Viktor K. Jirsa +4 more
TL;DR: It is suggested that the stimulus-induced brain activity, which may indicate information and cognitive processing, follows specific routes imposed by structural networks explaining the emergence of functional networks.
Journal ArticleDOI
Dynamic Functional Connectivity between order and randomness and its evolution across the human adult lifespan.
Demian Battaglia,Thomas Boudou,Thomas Boudou,Enrique C. A. Hansen,Enrique C. A. Hansen,Diego Lombardo,Sabrina Chettouf,Sabrina Chettouf,Andreas Daffertshofer,Anthony R. McIntosh,Joelle Zimmermann,Petra Ritter,Viktor K. Jirsa +12 more
TL;DR: This work considers dynamic FC as an ongoing network reconfiguration, including a stochastic exploration of the space of possible steady FC states, and reveals that dynamic FC tends to slow down and becomes less complex as well as more random with increasing age.
Journal ArticleDOI
Anatomical connectivity and the resting state activity of large cortical networks.
TL;DR: It is concluded that neural field models with translationally invariant connectivity may be best applied at the mesoscopic scale and that more general models of cortical networks that embed local neural fields, may provide appropriate models of macroscopic cortical dynamics over the whole brain.