The coupling between the spatial and temporal scales of neural processes revealed by a joint time-vertex connectome spectral analysis

Autor: Joan Rué-Queralt, Valentina Mancini, Vincent Rochas, Caren Latrèche, Peter J. Uhlhaas, Christoph M. Michel, Gijs Plomp, Stephan Eliez, Patric Hagmann

Publikováno v: NeuroImage, Vol 280, Iss , Pp 120337- (2023)

Brain oscillations are produced by the coordinated activity of large groups of neurons and different rhythms are thought to reflect different modes of information processing. These modes, in turn, are known to occur at different spatial scales. Never

Externí odkaz: https://doaj.org/article/cc3e74e3e7f44b35b31a4481a9a073a3

Structure supports function: Informing directed and dynamic functional connectivity with anatomical priors

Autor: David Pascucci, Maria Rubega, Joan Rué-Queralt, Sebastien Tourbier, Patric Hagmann, Gijs Plomp

Publikováno v: Network Neuroscience, Pp 1-19 (2022)

AbstractThe dynamic repertoire of functional brain networks is constrained by the underlying topology of structural connections. Despite this intrinsic relationship between structural connectivity (SC) and functional connectivity (FC), integrative an

Externí odkaz: https://doaj.org/article/52e505ccb1134529a55c24f84584a660

The connectome spectrum as a canonical basis for a sparse representation of fast brain activity

Autor: Joan Rué-Queralt, Katharina Glomb, David Pascucci, Sébastien Tourbier, Margherita Carboni, Serge Vulliémoz, Gijs Plomp, Patric Hagmann

Publikováno v: NeuroImage, Vol 244, Iss , Pp 118611- (2021)

The functional organization of neural processes is constrained by the brain's intrinsic structural connectivity, i.e., the connectome. Here, we explore how structural connectivity can improve the representation of brain activity signals and their dyn

Externí odkaz: https://doaj.org/article/72424c3fc8894e86a20e7d6b43700434

Connectome spectrum electromagnetic tomography: a method to reconstruct electrical brain sources at high-spatial resolution

Autor: Joan Rué-Queralt, Hugo Fluhr, Sebastien Tourbier, Yasser Aleman-Gómez, David Pascucci, Jérôme Yerly, Katharina Glomb, Gijs Plomp, Patric Hagmann

The discovery that the structural connectome serves as a compact representation of brain activity allowed us to apply compressed sensing to M/EEG source reconstruction of brain electrical activity. We show that the introduction of this biological con

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ee00d63ddba94a42456b962440bebcfb
https://doi.org/10.1101/2022.07.26.501544

Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep

Autor: Helmut Laufs, Joan Rué-Queralt, Morten L. Kringelbach, Enzo Tagliazucchi, Gustavo Deco, Selen Atasoy, Angus B. A. Stevner

Publikováno v: Communications Biology
Rué-Queralt, J, Stevner, A, Tagliazucchi, E, Laufs, H, Kringelbach, M L, Deco, G & Atasoy, S 2021, ' Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep ', Communications Biology, vol. 4, no. 1, 854 . https://doi.org/10.1038/s42003-021-02369-7
Communications Biology, Vol 4, Iss 1, Pp 1-11 (2021)

Current state-of-the-art functional magnetic resonance imaging (fMRI) offers remarkable imaging quality and resolution, yet, the intrinsic dimensionality of brain dynamics in different states (wakefulness, light and deep sleep) remains unknown. Here

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15165eea41c56b92244dc1c929d33d48
https://hdl.handle.net/21.11116/0000-0009-258D-F21.11116/0000-0009-258F-D