Poster No:
2472
Submission Type:
Abstract Submission
Authors:
Mikyung Choe1, Seung-Hyun Jin1, Hyejin Kang2, Dong Soo Lee3,4, Seokhyun Lee5, Chun Kee Chung1,6
Institutions:
1Neuroscience Research Institute, Seoul National University College of Medicine, Seoul, Korea, Republic of, 2Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea, Republic of, 3Medical Research Center, Seoul National University, Seoul, Korea, Republic of, 4School of Convergence Science and Technology, Pohang University of Science and Technology, Pohang, Korea, Republic of, 5School of Psychology, Korea University, Seoul, Korea, Republic of, 6Department of Neurosurgery, Seoul National University Hospital, Seoul, Korea, Republic of
First Author:
Mikyung Choe
Neuroscience Research Institute, Seoul National University College of Medicine
Seoul, Korea, Republic of
Co-Author(s):
Seung-Hyun Jin
Neuroscience Research Institute, Seoul National University College of Medicine
Seoul, Korea, Republic of
Hyejin Kang
Biomedical Research Institute, Seoul National University Hospital
Seoul, Korea, Republic of
Dong Soo Lee
Medical Research Center, Seoul National University|School of Convergence Science and Technology, Pohang University of Science and Technology
Seoul, Korea, Republic of|Pohang, Korea, Republic of
Seokhyun Lee
School of Psychology, Korea University
Seoul, Korea, Republic of
Chun Kee Chung
Neuroscience Research Institute, Seoul National University College of Medicine|Department of Neurosurgery, Seoul National University Hospital
Seoul, Korea, Republic of|Seoul, Korea, Republic of
Introduction:
Consciousness is maintained through communication in the brain network. Hence, its characteristics should change as consciousness declines. k-core percolation could reveal the hierarchical structure of the brain network, with identifying the core structure by eliminating peripheral structures. The kmax-core of the network represents the pivotal hub of the networks with the densest connection. The kmax-core that is dominant in the parietooccipital area during the conscious state would change during the unconscious state accompanied by changes in the interaction strength. In the present study, we investigated changes in the core structure of the brain network during the propofol-induced anesthesia using k-core percolation with human intracranial electroencephalography (iEEG).
Methods:
We recruited 6 patients diagnosed with medically intractable epilepsy (2 males and 4 females; age: mean = 30.5, SD = 6.8 years; 6 left hemispheres). In the conscious state, iEEG data was acquired in either the ward or operating room with subjects' eyes closed, and without any external stimuli. For the unconscious state, iEEG data was recorded after the subjects lost the ability to respond to verbal commands under general anesthesia, with target-controlled infusion of propofol and remifentanil (propofol concentration: mean = 4.08 μg/ml, SD = 0.34 μg/ml; remifentanil concentration: mean = 3.28 ng/ml, SD = 0.78 ng/ml). The average recording time for both conscious and unconscious states was 237.4 sec (standard deviation, 32.2 sec).
Segmentation of iEEG data during conscious and unconscious states was performed into 12-sec epochs with a 50% overlap. We estimated functional connectivity using amplitude envelope correlation (AEC) and weighted phase lag index (wPLI). We calculated the functional connectivity matrix of each frequency band (delta: 1–3 Hz, theta: 4–7 Hz, alpha: 8–12 Hz, beta: 13–30 Hz, low gamma: 30–90 Hz, high gamma: 90–140 Hz). The adjacency matrix was constructed using a 40% threshold. We estimated k-max core structures and the number of nodes of k-max core structures. We investigated the number of nodes in cortical regions of k-maximum core structures between conscious and unconscious states (p < 0.05/5, with the Generalized Estimating Equation).
Results:
In comparison to the conscious state, the number of k-max core nodes decreased in anterior regions, including frontal and sensorimotor regions, while it increased in the occipital regions during the propofol-induced unconscious state. No significant changes were observed in the number of k-max core nodes in the temporal and parietal regions.
Conclusions:
k-core percolation revealed that the propofol-induced unconsciousness was accompanied with the reconstruction of core structure in the brain network, characterized by increased coreness in posterior regions and decreased coreness in anterior regions.
Perception, Attention and Motor Behavior:
Consciousness and Awareness 1
Sleep and Wakefulness 2
Keywords:
Consciousness
ELECTROCORTICOGRAPHY
Other - General anesthesia
1|2Indicates the priority used for review
Provide references using author date format
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