ArticleNeuroinformatics2022
Cross-validated Adaboost Classification of Emotion Regulation Strategies Identified by Spectral Coherence in Resting-State.
Article in Neuroinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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23 citing papers in PubMed.
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- Application of machine learning methods in prediction of the body constitution types and transformation trends of traditional Chinese medicine: from the datasets of questionnaire survey on elderly people in Southwest China.Frontiers in medicine · 2026Article
- A novel deep learning model for objective quantification of generalized anxiety disorder severity using EEG functional connectivity.Frontiers in psychiatry · 2026Article
- Machine learning helps predict early onset psychosis with serum protein biomarkers, neuropsychometry, and clinicodemographic data.Scientific reports · 2025Article
- Dynamic reorganization of functional networks underlying audiovisual interactions.Scientific reports · 2025Article
- Mapping EEG Metrics to Human Affective and Cognitive Models: An Interdisciplinary Scoping Review from a Cognitive Neuroscience Perspective.Biomimetics (Basel, Switzerland) · 2025Review
- EEG microstate analysis in children with prolonged disorders of consciousness.Scientific reports · 2025Article
- Sobel neural network for EEG-based major depressive disorder screening.Frontiers in psychiatry · 2025Article
- Attention-based multi-scale convolution and conformer for EEG-based depression detection.Frontiers in psychiatry · 2025Article
- Hilbert-Huang Transform Embedded Self-Attention Neural Network for EEG-based major depressive disorder vs. healthy controls classification.Frontiers in psychiatry · 2025Article
- Decoded EEG neurofeedback-guided cognitive reappraisal training for emotion regulation.Cognitive neurodynamics · 2024Article
- STEADYNet: Spatiotemporal EEG analysis for dementia detection using convolutional neural network.Cognitive neurodynamics · 2024Article
- Black-white hole pattern: an investigation on the automated chronic neuropathic pain detection using EEG signals.Cognitive neurodynamics · 2024Article
- A within-subject voxel-wise constant-block partial least squares correlation method to explore MRI-based brain structure-function relationship.Cognitive neurodynamics · 2024Article
- Investigation of frequency components embedded in EEG recordings underlying neuronal mechanism of cognitive control and attentional functions.Cognitive neurodynamics · 2023Article
- Assessing stroke rehabilitation degree based on quantitative EEG index and nonlinear parameters.Cognitive neurodynamics · 2023Article
- Investigation of global brain dynamics depending on emotion regulation strategies indicated by graph theoretical brain network measures at system level.Cognitive neurodynamics · 2023Article
- The sound stimulation method and EEG change analysis for development of digital therapeutics that can stimulate the nervous system: Cortical activation and drug substitution potential.CNS neuroscience & therapeutics · 2023Article
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Abstract
In the present study, quantitative relations between Cognitive Emotion Regulation strategies (CERs) and EEG synchronization levels have been investigated for the first time. For this purpose, spectral coherence (COH), phase locking value and mutual information have been applied to short segments of 62-channel resting state eyes-opened EEG data collected from healthy adults who use contrasting emotion regulation strategies (frequently and rarely use of rumination&distraction, frequently and rarely use of suppression&reappraisal). In tests, the individuals are grouped depending on their self-responses to both emotion regulation questionnaire (ERQ) and cognitive ERQ. Experimental data are downloaded from publicly available data-base, LEMON. Regarding EEG electrode pairs that placed on right and left cortical regions, inter-hemispheric dependency measures are computed for non-overlapped short segments of 2 sec at 2 min duration trials. In addition to full-band EEG analysis, dependency metrics are also obtained for both alpha and beta sub-bands. The contrasting groups are discriminated from each other with respect to the corresponding features using cross-validated adaboost classifiers. High classification accuracies (CA) of 99.44% and 98.33% have been obtained through instant classification driven by full-band COH estimations. Considering regional features that provide the high CA, CERs are found to be highly relevant with associative memory functions and cognition. The new findings may indicate the close relation between neuroplasticity and cognitive skills.
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