henhaobio
Sign in

Communications BiologyNeurosciencePeer-reviewed journal article

Loss of consciousness reduces the stability of brain hubs and the heterogeneity of brain dynamics

Ane López‐GonzáleziD, Rajanikant PandaiD, Adrián Ponce‐AlvareziD, Gorka Zamora‐LópeziD, Anira EscrichsiD, Charlotte MartialiD, Aurore ThibautiD, Olivia GosseriesiD, Morten L. KringelbachiD, Jitka AnneniD, Steven LaureysiD, Gustavo DecoiD

PDFDOIPreprint

Abstract

Low-level states of consciousness are characterised by disruptions of brain dynamics that sustain arousal and awareness. Yet, how structural, dynamical, local and network brain properties interplay in the different levels of consciousness is unknown. Here, we studied the fMRI brain dynamics from patients that suffered brain injuries leading to a disorder of consciousness and from subjects undergoing propofol-induced anaesthesia. We showed that pathological and pharmacological low-level states of consciousness displayed less recurrent, less diverse, less connected, and more segregated synchronization patterns than conscious states. We interpreted these effects using whole-brain models built on healthy and injured connectomes. We showed that altered dynamics arise from a global reduction of network interactions, together with more homogeneous and more structurally constrained local dynamics. These effects were accentuated using injured connectomes. Notably, these changes lead the hub regions to lose their stability during low-level states of consciousness, thus attenuating the core-periphery structure of brain dynamics.

Citations
115
FWCI
8.94
Field percentile
top 1%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISPerl '21Castro '24Stikvoort '25Lehue '26Perl '23Luppi '21
77% semantic matchNeuroscience
Yonatan Sanz Perl, Carla Pallavicini, Ignacio Pérez Ipiña+12 more·PLoS Computational Biology·Jul 27, 2021· 70 citations