NeuroImage
February 11, 2023
Andrea I. Luppi, Pedro A.M. Mediano, Fernando E. Rosas et al.
High-level brain functions are thought to arise from coordinated activity across neural systems, but this has been hard to test empirically. Using a framework called Integrated Information Decomposition, which quantifies emergence in dynamical systems, the authors analyzed functional MRI data and found that emergent and hierarchical neural dynamics are significantly reduced in chronically unresponsive patients with severe brain injury. Emergence capacity was positively correlated with hierarchical organization in brain activity. Combining network control theory and whole-brain modeling, the authors show that reduced emergent and hierarchical dynamics in these patients can be explained by disruptions in the structural connectome. The results suggest that chronic unresponsiveness after severe brain injury may stem from structural damage to neural infrastructure needed for emergent brain dynamics.
Proceedings of the National Academy of Sciences of the United States of America
July 23, 2021
L. R. Spindler, A. Luppi, R. Adapa et al.
A network of brain regions called the default mode network breaks down during anesthesia and after brain damage causing disorders of consciousness. The neurochemical reasons for this breakdown were unclear. Using functional MRI, researchers found that the ventral tegmental area, a dopamine-producing brainstem region, disconnects from key default mode network nodes (precuneus and posterior cingulate) during both propofol sedation and disorders of consciousness. Stronger connectivity between the ventral tegmental area and these nodes was associated with a more awake-like configuration of the default mode network. In patients with disorders of consciousness who later improved behaviorally, this connectivity increased toward healthy levels. In a separate group of traumatic brain injury patients, the drug methylphenidate significantly strengthened this connection. The findings suggest that dopamine modulation may be central to maintaining consciousness.
PLoS ONE
February 13, 2020
Thomas F. Varley, Michael M. Craig, R. Adapa et al.
Fractal dimension of brain activity—a measure of complexity beyond simple randomness—is lower in patients with disorders of consciousness than in healthy volunteers. Using fMRI data, fractal dimension was computed for cortical functional connectivity networks, adjacency matrices, and BOLD time-series. Healthy volunteers (n=15) had the highest fractal dimensions, followed by patients in a minimally conscious state (n=10), and patients in a vegetative state (n=8). Decreases in fractal dimension correlated with decreasing level of consciousness regardless of injury mechanism. The findings support the hypothesis that consciousness is associated with brain complexity and that fractal structures may indicate proximity to a critical point between low- and high-entropy states.
Nature Communications
October 10, 2019
A. Luppi, Michael M. Craig, I. Pappas et al.
Consciousness relies on spatio-temporal interactions between brain integration and functional diversity. Combining graph theory and dynamic functional connectivity, resting-state fMRI data from awake volunteers, propofol-anaesthetised volunteers, and patients with disorders of consciousness showed that cortical networks are especially affected during loss of consciousness in temporal states of high integration, exhibiting reduced functional diversity and compromised informational capacity, while thalamo-cortical functional disconnections emerge during states of higher segregation. Posterior regions of the brain's default mode network show reductions in both functional diversity and integration during unconsciousness. These overlapping reductions in diversity and integration may represent a generalisable biomarker of loss of consciousness.