Publicação
Emotional error signals in the brain: a BCI approach
| Resumo: | Error monitoring is an automatic and highly important process in our daily life, especially in situations where affective information is involved. Facial expressions constitute one of the most powerful mechanisms of communication, displaying to us the intentions and emotions of those who convey them. It is believed that facial expressions, and consequently emotion recognition processes are altered in Autism Spectrum Disorder (ASD) individuals, which makes their adaptation in social contexts harder. Even though these processes have been studied separately, little is known as to how they interact with each other.The main goal of the present work was to evaluate the viability of a BCI that could modulate error monitoring signals in emotion recognition. The intention was that it could be used as a cognitive training approach with neurofeedback and in perturbations like ASD. For that purpose, we developed a BCI application based on the Emotional Stroop Effect, in which participants must recognize facial expressions with congruent or incongruent labels. To validate the task, we acquired electroencephalographic (EEG) signals of 10 healthy participants, who performed calibration sessions followed by test sessions. Subsequently, we evaluated the electrophysiological responses as well as the automatic classification results. The characteristics of the observed EEG potentials are similar to potentials evoked in other error monitoring tasks found in the literature. The classification results achieved an average result of 67.8 ± 9.6%. The waveforms were shown to be unaffected by conditions such as BCI experience, gender, and nationality, however, classification results were increased in participants with BCI experience. Even though the obtained results cannot reliably allow for an efficient communication, they allow for validation of the task. The possibility of using this task in social and cognitive training in populations like ASD is discussed. |
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| Autores principais: | Botinas, Filipa Inês Campos |
| Assunto: | EEG BCI Stroop Effect Error Potentials EEG BCI Efeito de Stroop Potenciais de Erro |
| Ano: | 2022 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Coimbra |
| Idioma: | inglês |
| Origem: | Estudo Geral - Universidade de Coimbra |
| Resumo: | Error monitoring is an automatic and highly important process in our daily life, especially in situations where affective information is involved. Facial expressions constitute one of the most powerful mechanisms of communication, displaying to us the intentions and emotions of those who convey them. It is believed that facial expressions, and consequently emotion recognition processes are altered in Autism Spectrum Disorder (ASD) individuals, which makes their adaptation in social contexts harder. Even though these processes have been studied separately, little is known as to how they interact with each other.The main goal of the present work was to evaluate the viability of a BCI that could modulate error monitoring signals in emotion recognition. The intention was that it could be used as a cognitive training approach with neurofeedback and in perturbations like ASD. For that purpose, we developed a BCI application based on the Emotional Stroop Effect, in which participants must recognize facial expressions with congruent or incongruent labels. To validate the task, we acquired electroencephalographic (EEG) signals of 10 healthy participants, who performed calibration sessions followed by test sessions. Subsequently, we evaluated the electrophysiological responses as well as the automatic classification results. The characteristics of the observed EEG potentials are similar to potentials evoked in other error monitoring tasks found in the literature. The classification results achieved an average result of 67.8 ± 9.6%. The waveforms were shown to be unaffected by conditions such as BCI experience, gender, and nationality, however, classification results were increased in participants with BCI experience. Even though the obtained results cannot reliably allow for an efficient communication, they allow for validation of the task. The possibility of using this task in social and cognitive training in populations like ASD is discussed. |
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