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Higher-order sensorimotor circuit of the brain’s global network supports human consciousness

Pengmin Qin, Xuehai Wu, Changwei W Wu, Hang Wu, Jun Zhang, Zirui Huang, X. Weng, Zengxin Qi, Weijun Tang, Tanikawa Hiromi, Jiaxing Tan, Sean Tanabe, S. Fogel, A. Hudetz, Yihong Yang, E. Stamatakis, Ying Mao, G. Northoff

bioRxiv September 23, 2020 preprint DOI: 10.1101/2020.09.22.308072 (opens in new tab) via Semantic Scholar

Summary

AI-generated from the abstract

Local brain regions may support consciousness by acting as hubs within the brain's global network. Using resting-state fMRI data from people in various conscious states—NREM-sleep, REM-sleep, anesthesia, and brain injury patients—and a graph-theoretical measure for detecting local hubs, the authors identify higher-order sensory and motor regions whose degree centrality is significantly reduced during unconsciousness. These regions form a sensorimotor circuit that correlates with levels of consciousness. The findings suggest that integration of higher-order sensorimotor function may be a key mechanism of consciousness, opening novel perspectives for therapeutic modulation of unconsciousness.

Study at a glance

Characteristics Observational cohort
Population People in various conscious states (NREM-sleep, REM-sleep, anesthesia, and brain injury patients)
Keywords Biology Psychology
Key finding Higher-order sensory and motor regions act as hubs within the brain's global network, and their degree centrality is significantly reduced during unconsciousness, forming a sensorimotor circuit that correlates with levels of consciousness.

Abstract

The neural correlates of consciousness, defined as the minimum neuronal mechanisms sufficient for any conscious percept, are usually subject to different interpretations depending on whether one uses measures of local or global brain activities. We argue that the local regions may support consciousness by serving as hubs within the brain’s global network. We adopt a unique functional magnetic resonance imaging resting state dataset that encompasses various conscious states, including non-rapid eye movement (NREM)-sleep, rapid eye movement (REM)-sleep, anesthesia, and brain injury patients. Using a graph-theoretical measure for detecting local hubs within the brain’s global network, we identify various higher-order sensory and motor regions as hubs with significantly reduced degree centrality during unconsciousness. Additionally, these regions form a sensorimotor circuit which correlates with levels of consciousness. Our findings suggest that integration of higher-order sensorimotor function may be a key mechanism of consciousness. This opens novel perspectives for therapeutic modulation of unconsciousness.

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