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Modulation of Beta Power as a Function of Attachment Style and Feedback Valence

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Brain Informatics (BI 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13974))

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Abstract

Attachment theory is concerned with the basic level of social connection associated with approach and withdrawal mechanisms. Consistent patterns of attachment may be divided into two major categories: secure and insecure. As secure and insecure attachment style individuals vary in terms of their responses to affective stimuli and negatively valanced cues, the goal of this study was to examine whether there are differences in Beta power activation between secure and insecure individuals to feedback given while performing the arrow flanker task. An interaction emerged between Attachment style (secure or insecure) and Feedback type (success or failure) has shown differences in Beta power as a function of both independent factors. These results corroborate previous findings indicating that secure and insecure individuals differently process affective stimuli.

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Authors and Affiliations

  1. Department of Industrial Engineering and Management, Ariel University, Ariel, Israel

    Dor Mizrahi, Ilan Laufer & Inon Zuckerman

Authors
  1. Dor Mizrahi
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  2. Ilan Laufer
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  3. Inon Zuckerman
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Corresponding author

Correspondence to Dor Mizrahi .

Editor information

Editors and Affiliations

  1. Stevens Institute of Technology, Hoboken, NJ, USA

    Feng Liu

  2. Lehigh University, Bethlehem, PA, USA

    Yu Zhang

  3. Maebashi Institute of Technology, Maebashi, Japan

    Hongzhi Kuai

  4. Boston University, Boston, MA, USA

    Emily P. Stephen

  5. Stevens Institute of Technology, Hoboken, NJ, USA

    Hongjun Wang

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Mizrahi, D., Laufer, I., Zuckerman, I. (2023). Modulation of Beta Power as a Function of Attachment Style and Feedback Valence. In: Liu, F., Zhang, Y., Kuai, H., Stephen, E.P., Wang, H. (eds) Brain Informatics. BI 2023. Lecture Notes in Computer Science(), vol 13974. Springer, Cham. https://doi.org/10.1007/978-3-031-43075-6_2

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  • DOI: https://doi.org/10.1007/978-3-031-43075-6_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-43074-9

  • Online ISBN: 978-3-031-43075-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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