4.7 Article

Automated emotion classification in the early stages of cortical processing: An MEG study

Journal

ARTIFICIAL INTELLIGENCE IN MEDICINE
Volume 115, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.artmed.2021.102063

Keywords

Classification; Emotion; Genetic algorithm; Linear discriminant analysis; MEG

Funding

  1. BMBF [IRESTRA 16SV7209, BU 1327/4-1]

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The study demonstrated significant classification of emotional brain responses to unpleasant and neutral stimuli within the first 100-150 ms post-stimulus through MEG signal analysis in healthy volunteers. The proposed algorithm allowed for early classification of emotional processing in the human brain, suggesting that emotional differentiation occurs within the initial 100-150 ms after stimulus onset.
Purpose: Here we aimed to automatically classify human emotion earlier than is typically attempted. There is increasing evidence that the human brain differentiates emotional categories within 100-300 ms after stimulus onset. Therefore, here we evaluate the possibility of automatically classifying human emotions within the first 300 ms after the stimulus and identify the time-interval of the highest classification performance. Methods: To address this issue, MEG signals of 17 healthy volunteers were recorded in response to three different picture stimuli (pleasant, unpleasant, and neutral pictures). Six Linear Discriminant Analysis (LDA) classifiers were used based on two binary comparisons (pleasant versus neutral and unpleasant versus neutral) and three different time-intervals (100-150 ms, 150-200 ms, and 200-300 ms post-stimulus). The selection of the feature subsets was performed by Genetic Algorithm and LDA. Results: We demonstrated significant classification performances in both comparisons. The best classification performance was achieved with a median AUC of 0.83 (95 %- CI [0.71; 0.87]) classifying brain responses evoked by unpleasant and neutral stimuli within 100-150 ms, which is at least 850 ms earlier than attempted by other studies. Conclusion: Our results indicate that using the proposed algorithm, brain emotional responses can be significantly classified at very early stages of cortical processing (within 300 ms). Moreover, our results suggest that emotional processing in the human brain occurs within the first 100-150 ms.

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