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G. Williams

2 papers in the library · publishing 2019-2022

Papers

Whole-brain modelling identifies distinct but convergent paths to unconsciousness in anaesthesia and disorders of consciousness

Communications Biology April 20, 2022 A. Luppi, P. Mediano, F. Rosas et al.

A neurobiologically realistic computational model of whole-brain haemodynamic signals, perturbed to simulate loss of consciousness, reveals two distinct neurobiological paths to unconscious brain activity. Incorporating PET data on GABA receptor distribution shows that spatially-specific local inhibition reproduces fMRI activity observed during propofol anaesthesia. Incorporating diffusion MRI data from patients with disorders of consciousness shows that randomized neuroanatomical connectivity can also produce the dynamics characteristic of loss of consciousness. The results generalize across anaesthesia and injury datasets, suggesting that increased inhibition and connectome perturbation are distinct routes to the same functional brain dynamics.

Fractal Dimension of Cortical Functional Connectivity Networks Predicts Severity in Disorders of Consciousness

bioRxiv Preprint Server October 1, 2019 Tf. Varley, M. Craig, R. Adapa et al. preprint

Brain activity's fractal dimension—a measure of complexity—decreases with loss of consciousness. Healthy volunteers showed higher fractal dimension than patients in a minimally conscious state, who in turn showed higher dimension than those in a vegetative state, regardless of injury cause. Fractal dimension of functional connectivity networks, adjacency matrices, and BOLD time-series all correlated with level of consciousness. These findings support the idea that consciousness requires complex, critically organized brain activity, consistent with prior EEG, MEG, and fMRI work.