Article
Anesthesiology
Bjorn E. Juel, Luis Romundstad, Johan F. Storm, Pal G. Larsson
Summary: The study tested the use of DTF based on EEG time-series to monitor patients under general anesthesia with sevoflurane, comparing the results to those under propofol anesthesia. While significant differences were found between awake and anesthetized states at a group level, no significant differences were found between sevoflurane and propofol data. By optimizing the algorithm, a high accuracy of 95.1% was achieved, indicating the potential of DTF in monitoring anesthesia states.
JOURNAL OF CLINICAL MONITORING AND COMPUTING
(2021)
Article
Clinical Neurology
Marianne Cecilie Johansen Naevra, Luis Romundstad, Anders Aasheim, Pal Gunnar Larsson
Summary: This study compared three EEG-based methods with anesthesiologist clinical judgment of awake and anesthetized unconscious states. The results showed that bilateral BIS method had the highest accuracy and lowest false positive rate, while entropy scored lower on accuracy and higher on false positive rate. Therefore, it is recommended to combine BIS and DTF methods to assess anesthesia state.
CLINICAL EEG AND NEUROSCIENCE
(2023)
Article
Computer Science, Information Systems
Hadriana Iddas, Keiji Iramina
Summary: Functional connectivity related to familiarity has been studied in the context of different stimuli, but the directed functional connectivity patterns in response to familiar/unfamiliar stimuli with different attention indexes remain unclear. Using the Directed Transfer Function (DTF) and hierarchical clustering, this study found that different attention indexes were present in all subjects watching familiar/unfamiliar videos. Information flows were greater for familiar stimuli, particularly in the frontal, temporal, and parietal areas. The frontal and central regions were identified as primary sources of distributing information flows, indicating their important role in attentional processing.
Article
Neurosciences
Yun Zhang, Yubo Wang, Huanhuan Cheng, Fei Yan, Dingning Li, Dawei Song, Qiang Wang, Liyu Huang
Summary: This study suggests that the EEG spectral slope can reliably track continuously altered consciousness levels during propofol anesthesia using a time-resolved analysis. Furthermore, the frontal spectral slope may be a promising index for clinical monitoring of anesthesia depth.
Article
Engineering, Biomedical
Yuqin Li, Fali Li, Hui Zheng, Lin Jiang, Yueheng Peng, Yangsong Zhang, Dezhong Yao, Tao Xu, Tifei Yuan, Peng Xu
Summary: This study identified significant differences in brain networks during different periods of general anesthesia, with specific changes in the alpha band during LOC. The fused network topologies and properties achieved high accuracy in distinguishing between resting and LOC states, providing potential for better anesthesia management.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Critical Care Medicine
Catherine Duclos, Charlotte Maschke, Yacine Mahdid, Danielle Nadin, Alexander Rokos, Caroline Arbour, Mohamed Badawy, Justin Letourneau, Adrian M. Owen, Gilles Plourde, Stefanie Blain-Moraes
Summary: Using electroencephalography (EEG) and propofol, researchers have developed an adaptive reconfiguration index that can accurately predict whether patients with disorders of consciousness will recover consciousness. This measure has significant implications for clinical decision-making and can be implemented in acute clinical settings.
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE
(2022)
Article
Neurosciences
Catherine Duclos, Charlotte Maschke, Yacine Mahdid, Kathleen Berkun, Jason da Silva Castanheira, Vijay Tarnal, Paul Picton, Giancarlo Vanini, Goodarz Golmirzaie, Ellen Janke, Michael S. Avidan, Max B. Kelz, Lucrezia Liuzzi, Matthew J. Brookes, George A. Mashour, Stefanie Blain-Moraes
Summary: The study compared the performance of envelope-based AEC and phase-based wPLI in classifying states of consciousness, showing that AEC is better suited to detect relative alterations in brain functional connectivity across levels of anesthetic-induced unconsciousness.
Article
Engineering, Biomedical
Matteo Dora, David Holcman
Summary: This paper proposes a new wavelet-based method for removing artifacts from single-channel EEGs. The method adaptively attenuates artifacts of different nature through data-driven renormalization of wavelet components and demonstrates superior performances on different kinds of artifacts and signal-to-noise levels. The proposed method provides a valuable tool to remove artifacts in real-time EEG applications with few electrodes, such as monitoring in special care units.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
Article
Engineering, Biomedical
Fali Li, Yuqin Li, Hui Zheng, Lin Jiang, Dongrui Gao, Cunbo Li, Yueheng Peng, Zehong Cao, Yangsong Zhang, Dezhong Yao, Tao Xu, Ti-Fei Yuan, Peng Xu
Summary: The study developed a multi-channel cross fuzzy entropy method to construct time-varying networks to track the loss of consciousness induced by general anesthesia. Results showed stable fuzzy fluctuations in network architectures during resting state, with disrupted connectivity during the loss of consciousness period. An algorithm was proposed to accurately detect the time point at which patients lost consciousness. The findings suggest that time-varying cross-fuzzy networks are significant for developing anesthesia depth monitoring technology.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2021)
Article
Neurosciences
Corson N. Areshenkoff, Joseph Y. Nashed, R. Matthew Hutchison, Melina Hutchison, Ron Levy, Douglas J. Cook, Ravi S. Menon, Stefan Everling, Jason P. Gallivan
Summary: Studies have found that under general anesthesia, the apparent fragmentation of whole-brain network structure is actually a result of a global reduction in functional connectivity rather than an actual change in network structure. This observation constrains current interpretations of how anesthesia-induced functional connectivity changes map onto existing neurobiological theories of consciousness.
Article
Medicine, General & Internal
Jae Hwa Yoo, Si Young Ok, Sang Ho Kim, Ji Won Chung, Sun Young Park, Mun Gyu Kim, Ho Bum Cho, Sang Hoon Song, Sang Jin Choi, Hong Chul Oh
Summary: The PLE method based on functional connectivity of the brain may be more suitable for monitoring changes in consciousness compared to the BIS method. This study evaluated the differences between PLE and BIS methods in clinical anesthesia and found that PLE values vary less. However, further research is needed to validate the clinical application of these methods in general anesthesia.
Article
Physiology
Kazuma Hayase, Atsushi Kainuma, Koichi Akiyama, Mao Kinoshita, Masayuki Shibasaki, Teiji Sawa
Summary: The Poincare plot obtained from EEG was used to evaluate anesthesia depth, showing strong linear correlations between PPAR at different frequency ranges and BIS measurements. The gamma band activity at 30-47 Hz was found to have the most sensitivity to state changes during anesthesia emergence, potentially offering a new parameter to correlate with changes in BIS.
FRONTIERS IN PHYSIOLOGY
(2021)
Article
Clinical Neurology
Christian S. Guay, Alyssa K. Labonte, Michael C. Montana, Eric C. Landsness, Brendan P. Lucey, MohammadMehdi Kafashan, Simon Haroutounian, Michael S. Avidan, Emery N. Brown, Ben Julian A. Palanca
Summary: This pilot study aims to investigate the feasibility of enhancing slow-wave activity (SWA) during dexmedetomidine sedation using Closed-Loop Acoustic Stimulation (CLASS-D). The study uses a crossover controlled trial with healthy volunteers to assess the effects of CLASS on EEG waves and behavior, as well as conduct follow-up sleep studies.
NATURE AND SCIENCE OF SLEEP
(2021)
Article
Computer Science, Artificial Intelligence
Xiqiang Huang, Jin Liu, Yinqi Yang, Binglin Yuan, Gazmir Gjoni, Wang Jianxing
Summary: Anesthesia is a crucial measure in healthcare but carries risks. Common clinical indicators are not reliable in estimating anesthesia depth due to variations in patient conditions and medications. This paper proposes an intelligent detection method based on EEG signals and the Transformer framework to predict anesthesia depth. The algorithm achieved a high prediction probability of 85.32% in validation on a sevoflurane anesthesia dataset.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Neurosciences
Charlotte Maschke, Catherine Duclos, Stefanie Blain-Moraes
Summary: This study presents a case series demonstrating paradoxical brain responses in patients with disorders of consciousness who were exposed to propofol anesthesia. The findings challenge conventional markers of conscious level and highlight the need for reevaluating the role of functional connectivity and spatiotemporal complexity in theories of consciousness and clinical evaluation.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Clinical Neurology
Aniko Kusztor, Liisa Raud, Bjorn E. Juel, Andre S. Nilsen, Johan F. Storm, Rene J. Huster
Article
Physics, Multidisciplinary
Andre Sevenius Nilsen, Bjorn Erik Juel, William Marshall
Article
Anesthesiology
Bjorn E. Juel, Luis Romundstad, Johan F. Storm, Pal G. Larsson
Summary: The study tested the use of DTF based on EEG time-series to monitor patients under general anesthesia with sevoflurane, comparing the results to those under propofol anesthesia. While significant differences were found between awake and anesthetized states at a group level, no significant differences were found between sevoflurane and propofol data. By optimizing the algorithm, a high accuracy of 95.1% was achieved, indicating the potential of DTF in monitoring anesthesia states.
JOURNAL OF CLINICAL MONITORING AND COMPUTING
(2021)
Article
Multidisciplinary Sciences
Nadine Farnes, Bjorn E. Juel, Andre S. Nilsen, Luis G. Romundstad, Johan F. Storm
Article
Neurosciences
Sebastian Halder, Bjorn E. Juel, Andre S. Nilsen, Lashmi Venkat Raghavan, Johan F. Storm
Summary: The study used EEG data from 7 patients undergoing Wada tests to analyze measures correlating with consciousness, such as power spectral density and functional connectivity. Results showed bilateral changes in power spectral density and significant functional connectivity changes between and within both hemispheres. Despite no significant differences in signal diversity between hemispheres or states at a group level, including these measures improved classification results, suggesting they carry non-redundant information.
Article
Psychology, Biological
A. Arena, B. E. Juel, R. Comolatti, S. Thon, J. F. Storm
Summary: This study investigates the correlation between markers of regionally specific activation and the brain's overall capacity for consciousness in rats under ketamine anesthesia. Results show that activity in the posteromedial cortex correlates with the capacity for consciousness, as assessed by PCIST, during different depths of ketamine anesthesia.
NEUROSCIENCE OF CONSCIOUSNESS
(2022)
