Title | ||
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Relationship of critical dynamics, functional connectivity, and states of consciousness in large-scale human brain networks. |
Abstract | ||
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Recent modeling and empirical studies support the hypothesis that large-scale brain networks function near a critical state. Similar functional connectivity patterns derived from resting state empirical data and brain network models at criticality provide further support. However, despite the strong implication of a relationship, there has been no principled explanation of how criticality shapes the characteristic functional connectivity in large-scale brain networks. Here, we hypothesized that the network science concept of partial phase locking is the underlying mechanism of optimal functional connectivity in the resting state. We further hypothesized that the characteristic connectivity of the critical state provides a theoretical boundary to quantify how far pharmacologically or pathologically perturbed brain connectivity deviates from its critical state, which could enable the differentiation of various states of consciousness with a theory-based metric. |
Year | DOI | Venue |
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2019 | 10.1016/j.neuroimage.2018.12.011 | NeuroImage |
Keywords | Field | DocType |
Criticality,Consciousness,Functional connectivity,Electroencephalogram,Disorders of consciousness,Anesthesia | Network science,Neuroscience,Resting state fMRI,Cognitive psychology,Psychology,Critical point (thermodynamics),Wakefulness,Consciousness,Network analysis,Minimally conscious state,Electroencephalography | Journal |
Volume | ISSN | Citations |
188 | 1053-8119 | 1 |
PageRank | References | Authors |
0.36 | 9 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Heonsoo Lee | 1 | 1 | 1.04 |
Daniel Golkowski | 2 | 1 | 0.36 |
Denis Jordan | 3 | 1 | 0.36 |
Sebastian Berger | 4 | 3 | 1.10 |
Rüdiger Ilg | 5 | 1 | 0.36 |
Joseph Lee | 6 | 12 | 1.40 |
George A Mashour | 7 | 15 | 2.14 |
UnCheol Lee | 8 | 19 | 2.30 |