EEG Theta/Beta Ratio Variability in Relation to Attachment Style in the Context of Secretary Problem
Dor Mizrahi (),
Ilan Laufer () and
Inon Zuckerman ()
Additional contact information
Dor Mizrahi: Ariel University
Ilan Laufer: Ariel University
Inon Zuckerman: Ariel University
A chapter in Information Systems and Neuroscience, 2025, pp 231-237 from Springer
Abstract:
Abstract This study examines the Theta/Beta Ratio (TBR) in EEG measurements to infer the cognitive load during decision-making across different attachment styles. Participants’ EEGs were analyzed within the secretary problem framework while they were at rest and making decisions. The secure attachment group demonstrated higher TBR difference medians, suggesting a lower cognitive load. Conversely, the fearfully avoidant group exhibited significantly lower medians, indicating a heightened cognitive load. The anxiously attached group’s TBR varied widely, suggesting inconsistent cognitive engagement, while the avoidant group’s levels were moderate. These results imply that attachment style determines the cognitive load experienced during decision-making, with fearfully avoidant individuals bearing the highest load. This research elucidates the neurobiological links between attachment styles and cognitive processing.
Keywords: Cognitive neuroscience; Theta/beta ratio (TBR); Attachment styles; Decision-making processes (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-71385-9_19
Ordering information: This item can be ordered from
http://www.springer.com/9783031713859
DOI: 10.1007/978-3-031-71385-9_19
Access Statistics for this chapter
More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().