ArticleCognitive neurodynamics2019
Frontal-temporal functional connectivity of EEG signal by standardized permutation mutual information during anesthesia.
Article in Cognitive neurodynamics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Integrating multidimensional nociceptive-related cortical features for unsupervised assessment of anesthesia states in rats.iScience · 2026Article
- An EEG-based marker of functional connectivity: detection of major depressive disorder.Cognitive neurodynamics · 2024Article
- [Processed EEG for personalized dosing of anesthetics during general anesthesia].Die Anaesthesiologie · 2023Review
- A sequential learning model with GNN for EEG-EMG-based stroke rehabilitation BCI.Frontiers in neuroscience · 2023Article
- Emotion recognition using effective connectivity and pre-trained convolutional neural networks in EEG signals.Cognitive neurodynamics · 2022Article
- Three-Level Distributed Real-Time Monitoring of Construction near Underground Infrastructure Using a Combined Intelligent Method.Sensors (Basel, Switzerland) · 2022Article
- Hand Motor Imagery Classification Using Effective Connectivity and Hierarchical Machine Learning in EEG Signals.Journal of biomedical physics & engineering · 2022Article
- Coupling feature extraction method of resting state EEG Signals from amnestic mild cognitive impairment with type 2 diabetes mellitus based on weight permutation conditional mutual information.Cognitive neurodynamics · 2021Article
- Major depressive disorder diagnosis based on effective connectivity in EEG signals: a convolutional neural network and long short-term memory approach.Cognitive neurodynamics · 2021Article
- Consciousness and complexity: a consilience of evidence.Neuroscience of consciousness · 2021Review
- Voxel-Wise Brain-Wide Functional Connectivity Abnormalities in Patients with Primary Blepharospasm at Rest.Neural plasticity · 2021Article
- Altered Functional Connectivity Strength at Rest in Medication-Free Obsessive-Compulsive Disorder.Neural plasticity · 2021Article
- Transfer learning with deep convolutional neural network for automated detection of schizophrenia from EEG signals.Physical and engineering sciences in medicine · 2020Article
- Brain connectivity analysis in fathers of children with autism.Cognitive neurodynamics · 2020Article
- A Hybrid EEG-based Emotion Recognition Approach Using Wavelet Convolutional Neural Networks and Support Vector Machine.Basic and clinical neuroscienceArticle
- Early MS Identification Using Non-linear Functional Connectivity and Graph-theoretic Measures of Cognitive Task-fMRI Data.Basic and clinical neuroscienceArticle
- Mental Arithmetic Task Recognition Using Effective Connectivity and Hierarchical Feature Selection From EEG Signals.Basic and clinical neuroscienceArticle
- Article
- Assessment of Anesthesia Depth Using Effective Brain Connectivity Based on Transfer Entropy on EEG Signal.Basic and clinical neuroscienceArticle
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Quantifying brain dynamics during anesthesia is an important challenge for understanding the neurophysiological mechanisms of anesthetic drug effect. Several single channel Electroencephalogram (EEG) indices have been proposed for monitoring anesthetic drug effect. The most commonly used single channel commercial index is the Bispectral index (BIS). However, this monitor has shown some drawbacks. In this study, a nonlinear functional connectivity measure named Standardized Permutation Mutual Information (SPMI) is proposed to describe communication between two-channel EEG signals at frontal and temporal brain regions during a controlled propofol-induced anesthesia and recovery design from eight subjects. The SPMI index has higher correlation with estimated propofol effect-site concentration and has better ability to distinguish three anesthetic states of patient than the other functional connectivity indexes (cross-correlation, coherence, phase analysis) and also the BIS index. Moreover, the SPMI index has a faster reaction to the effect of drug concentration, less variability at the consciousness state and better robustness to noise than BIS.
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