BibTex format
@article{Luppi:2023:10.1016/j.neuroimage.2023.119926,
author = {Luppi, AI and Mediano, PAM and Rosas, FE and Allanson, J and Pickard, JD and Williams, GB and Craig, MM and Finoia, P and Peattie, ARD and Coppola, P and Menon, DK and Bor, D and Stamatakis, EA},
doi = {10.1016/j.neuroimage.2023.119926},
journal = {NeuroImage},
pages = {1--17},
title = {Reduced emergent character of neural dynamics in patients with a disrupted connectome},
url = {http://dx.doi.org/10.1016/j.neuroimage.2023.119926},
volume = {269},
year = {2023}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - High-level brain functions are widely believed to emerge from the orchestrated activity of multiple neural systems. However, lacking a formal definition and practical quantification of emergence for experimental data, neuroscientists have been unable to empirically test this long-standing conjecture. Here we investigate this fundamental question by leveraging a recently proposed framework known as “Integrated Information Decomposition,” which establishes a principled information-theoretic approach to operationalise and quantify emergence in dynamical systems — including the human brain. By analysing functional MRI data, our results show that the emergent and hierarchical character of neural dynamics is significantly diminished in chronically unresponsive patients suffering from severe brain injury. At a functional level, we demonstrate that emergence capacity is positively correlated with the extent of hierarchical organisation in brain activity. Furthermore, by combining computational approaches from network control theory and whole-brain biophysical modelling, we show that the reduced capacity for emergent and hierarchical dynamics in severely brain-injured patients can be mechanistically explained by disruptions in the patients’ structural connectome. Overall, our results suggest that chronic unresponsiveness resulting from severe brain injury may be related to structural impairment of the fundamental neural infrastructures required for brain dynamics to support emergence.
AU - Luppi,AI
AU - Mediano,PAM
AU - Rosas,FE
AU - Allanson,J
AU - Pickard,JD
AU - Williams,GB
AU - Craig,MM
AU - Finoia,P
AU - Peattie,ARD
AU - Coppola,P
AU - Menon,DK
AU - Bor,D
AU - Stamatakis,EA
DO - 10.1016/j.neuroimage.2023.119926
EP - 17
PY - 2023///
SN - 1053-8119
SP - 1
TI - Reduced emergent character of neural dynamics in patients with a disrupted connectome
T2 - NeuroImage
UR - http://dx.doi.org/10.1016/j.neuroimage.2023.119926
UR - http://hdl.handle.net/10044/1/103092
VL - 269
ER -