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Using spreading activation to understand repetitive negative thinking
Aidan J Flynn1, Janette E Herbers1, Sara A Kurko1
1Department of Psychological and Brain Sciences, Villanova University, Villanova, PA, USA.
Repetitive negative thinking (RNT) may stem from a negatively biased semantic network. This study shows RNT tendencies can be measured through word associations, not just self-reports.
Area of Science:
- Cognitive Psychology
- Clinical Psychology
- Neuroscience
Background:
- Repetitive negative thinking (RNT) is linked to anxiety and depression.
- Previous RNT research relied on self-report, missing underlying mechanisms.
- A negatively biased semantic network is a potential RNT maintenance factor.
Purpose of the Study:
- To investigate if RNT is maintained by a negatively biased semantic network.
- To assess state RNT using a modified free association task.
- To determine if semantic retrieval patterns reflect RNT tendencies.
Main Methods:
- Participants completed a modified free association task with valenced cue words.
- State RNT was measured by the length of consecutive negative word associations (chains).
- Trait RNT and negative affect were assessed via self-report measures.
Main Results:
- Negative response chain length positively predicted trait RNT and negative affect.
- This association was significant only for positive cue words.
- Semantic retrieval patterns, specifically negative association chains, reflect RNT.
Conclusions:
- RNT tendencies are observable in semantic retrieval processes.
- A modified free association task can assess state RNT without self-report.
- Findings suggest a link between semantic networks and the persistence of maladaptive thoughts.
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