Whole-brain modelling identifies distinct but convergent paths to unconsciousness in anaesthesia and disorders of consciousn.pdf (2.4 MB)
Whole-brain modelling identifies distinct but convergent paths to unconsciousness in anaesthesia and disorders of consciousness
journal contribution
posted on 2023-06-10, 06:22 authored by Andrea I Luppi, Pedro A M Mediano, Fernando Ernesto Rosas De AndracaFernando Ernesto Rosas De Andraca, Judith Allanson, John D Pickard, Guy B Williams, Michael M Craig, Paola Finoia, Alexander R D Peattie, Peter Coppola, Adrian M Owen, Lorina Naci, David K Menon, Daniel Bor, Emmanuel A StamatakisThe human brain entertains rich spatiotemporal dynamics, which are drastically reconfigured when consciousness is lost due to anaesthesia or disorders of consciousness (DOC). Here, we sought to identify the neurobiological mechanisms that explain how transient pharmacological intervention and chronic neuroanatomical injury can lead to common reconfigurations of neural activity. We developed and systematically perturbed a neurobiologically realistic model of whole-brain haemodynamic signals. By incorporating PET data about the cortical distribution of GABA receptors, our computational model reveals a key role of spatially-specific local inhibition for reproducing the functional MRI activity observed during anaesthesia with the GABA-ergic agent propofol. Additionally, incorporating diffusion MRI data obtained from DOC patients reveals that the dynamics that characterise loss of consciousness can also emerge from randomised neuroanatomical connectivity. Our results generalise between anaesthesia and DOC datasets, demonstrating how increased inhibition and connectome perturbation represent distinct neurobiological paths towards the characteristic activity of the unconscious brain.
History
Publication status
- Published
File Version
- Published version
Journal
Communications BiologyISSN
2399-3642Publisher
Springer Science and Business Media LLCExternal DOI
Volume
5Page range
a384 1-15Event location
EnglandDepartment affiliated with
- Informatics Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2023-03-02First Open Access (FOA) Date
2023-03-02First Compliant Deposit (FCD) Date
2023-03-01Usage metrics
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