ArticleFrontiers in neuroscience2020
Analyzing Brain Connectivity in the Mutual Regulation of Emotion-Movement Using Bidirectional Granger Causality.
Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Classification of neurodegenerative diseases using brain effective connectivity and machine learning techniques: a systematic review.Frontiers in neurology · 2025Pooled it
- Article
- Graph theoretical brain connectivity measures to investigate neural correlates of music rhythms associated with fear and anger.Cognitive neurodynamics · 2024Article
- An innovative EEG-based emotion recognition using a single channel-specific feature from the brain rhythm code method.Frontiers in neuroscience · 2023Article
- EEG emotion recognition based on cross-frequency granger causality feature extraction and fusion in the left and right hemispheres.Frontiers in neuroscience · 2022Article
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4 authors.
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Abstract
Body language and movement are important media of emotional expression. There is an interactive physiological relationship between emotion and movement. Thus, we hypothesize that the emotional cortex interacts with the motor cortex during the mutual regulation of emotion and movement. And this interaction can be revealed by brain connectivity analysis based on electroencephalogram (EEG) signal processing. We proposed a brain connectivity analysis method: bidirectional long short-term memory Granger causality (bi-LSTM-GC). The theoretical basis of the proposed method was Granger causality estimation using a bidirectional LSTM recurrent neural network (RNN) for solving nonlinear parameters. Then, we compared the accuracy of the bi-LSTM-GC with other unidirectional connectivity methods. The results demonstrated that the information interaction existed among multiple brain regions (EEG 10-20 system) in the paradigm of emotion-movement regulation. The detected directional dependencies in EEG signals were mainly distributed from the frontal to the central region and from the prefrontal to the central-parietal.
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