Music and emotion: electrophysiological correlates of the processing of pleasant and unpleasant music.

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Real-Time EEG-Based Human Emotion Recognition and Visualization (2010, methodology): “2 to 42 Hz band-pass filter was applied to the raw data as the major EEG waves (alpha, theta, beta, delta, and gamma) lie in this band [31-32].”
Emotional state classification from EEG data using machine learning approach (2014, background): “[8] J. Coan, J. Allen, Frontal EEG asymmetry as a moderator and mediator of emotion, Biol.”
EEG-Based Emotion Recognition in Music Listening (2010, background): “The effects of emotional processing have been found with different temporal dynamics of the EEG during listening to different music excerpts [ 12 ], indicating EEG pattern would evolve over time during music listening.”
Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015, background): “[8] investigated the EEG correlates of the”
Real-Time Movie-Induced Discrete Emotion Recognition from EEG Signals (2018, background): “Theta frequency band in the frontal middle line [57], [58] and parietotemporal region [59] was another source of dominant features to recognise positive and negative emotions.”
EEG Based Emotion Recognition: A Tutorial and Review (2022, background): “Joyful music has been reported to be positively correlated with the power energy in the theta band (4∼7 Hz) near the midline of the prefrontal cortex [51].”