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DEEP: A dual EEG pipeline for developmental hyperscanning studies.
Kayhan, Ezgi; Matthes, Daniel; Marriott Haresign, Ira; Bánki, Anna; Michel, Christine; Langeloh, Miriam; Wass, Sam; Hoehl, Stefanie.
Afiliação
  • Kayhan E; Department of Developmental Psychology, University of Potsdam, Germany; Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. Electronic address: kayhan@uni-potsdam.de.
  • Matthes D; Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Laboratory for Biosignal Processing, Leipzig University of Applied Sciences, Germany. Electronic address: daniel.matthes@htwk-leipzig.de.
  • Marriott Haresign I; Department of Psychology, University of East London, UK.
  • Bánki A; Faculty of Psychology, University of Vienna, Austria.
  • Michel C; Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Faculty of Education, Leipzig University, Germany.
  • Langeloh M; Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Department of Psychology, Heidelberg University, Germany.
  • Wass S; Department of Psychology, University of East London, UK.
  • Hoehl S; Faculty of Psychology, University of Vienna, Austria.
Dev Cogn Neurosci ; 54: 101104, 2022 04.
Article em En | MEDLINE | ID: mdl-35367895
Cutting-edge hyperscanning methods led to a paradigm shift in social neuroscience. It allowed researchers to measure dynamic mutual alignment of neural processes between two or more individuals in naturalistic contexts. The ever-growing interest in hyperscanning research calls for the development of transparent and validated data analysis methods to further advance the field. We have developed and tested a dual electroencephalography (EEG) analysis pipeline, namely DEEP. Following the preprocessing of the data, DEEP allows users to calculate Phase Locking Values (PLVs) and cross-frequency PLVs as indices of inter-brain phase alignment of dyads as well as time-frequency responses and EEG power for each participant. The pipeline also includes scripts to control for spurious correlations. Our goal is to contribute to open and reproducible science practices by making DEEP publicly available together with an example mother-infant EEG hyperscanning dataset.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Eletroencefalografia / Neurociência Cognitiva Limite: Female / Humans Idioma: En Revista: Dev Cogn Neurosci Ano de publicação: 2022 Tipo de documento: Article País de publicação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Eletroencefalografia / Neurociência Cognitiva Limite: Female / Humans Idioma: En Revista: Dev Cogn Neurosci Ano de publicação: 2022 Tipo de documento: Article País de publicação: Holanda