Altered Global Brain Signal during Physiologic, Pharmacologic, and Pathologic States of Unconsciousness in Humans and
Sean Tanabe1, Zirui Huang, Jun Zhang
1From the Department of Anesthesiology, Huashan Hospital, Fudan University, Shanghai, China (J.Z., Y.C., J.X.) the Department of Anesthesiology and Center for Consciousness Science, University of Michigan, Ann Arbor, Michigan (S.T., Z.H., G.A.M., A.G.H.) Institute of Mental Health Research (S.F., G.N.) School of Psychology (S.F.), University of Ottawa, Ottawa, Canada Department of Psychology, University of Montreal, Montreal, Canada (S.F., J.D.) Functional Neuroimaging Unit, Institute of Geriatrics, University of Montréal, Montréal, Canada (S.F., J.D.) McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Canada (J.D.) Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China (J.W., X.W., Y.M.) Mental Health Center, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China (J.Z., G.N.) School of Psychology, South China Normal University, Guangzhou, Guangdong, China (P.Q.).
Background:
Consciousness is supported by integrated brain activity across widespread functionally segregated networks. The functional magnetic resonance imaging-derived global brain signal is a candidate marker for a conscious state, and thus the authors hypothesized that unconsciousness would be accompanied by a loss of global temporal coordination, with specific patterns of decoupling between local regions and global activity differentiating among various unconscious states.
Methods:
Functional magnetic resonance imaging global signals were studied in physiologic, pharmacologic, and pathologic states of unconsciousness in human natural sleep (n = 9), propofol anesthesia (humans, n = 14; male rats, n = 12), and neuropathological patients (n = 21). The global signal amplitude as well as the correlation between global signal and signals of local voxels were quantified. The former reflects the net strength of global temporal coordination, and the latter yields global signal topography.
Results:
A profound reduction of global signal amplitude was seen consistently across the various unconscious states: wakefulness (median [1st, 3rd quartile], 0.46 [0.21, 0.50]) versus non-rapid eye movement stage 3 of sleep (0.30 [0.24, 0.32]; P = 0.035), wakefulness (0.36 [0.31, 0.42]) versus general anesthesia (0.25 [0.21, 0.28]; P = 0.001), healthy controls (0.30 [0.27, 0.37]) versus unresponsive wakefulness syndrome (0.22 [0.15, 0.24]; P < 0.001), and low dose (0.07 [0.06, 0.08]) versus high dose of propofol (0.04 [0.03, 0.05]; P = 0.028) in rats. Furthermore, non-rapid eye movement stage 3 of sleep was characterized by a decoupling of sensory and attention networks from the global network. General anesthesia and unresponsive wakefulness syndrome were characterized by a dissociation of the majority of functional networks from the global network. This decoupling, however, was dominated by distinct neuroanatomic foci (e.g., precuneus and anterior cingulate cortices).
Conclusions:
The global temporal coordination of various modules across the brain may distinguish the coarse-grained state of consciousness versus unconsciousness, while the relationship between the global and local signals may define the particular qualities of a particular unconscious state.
