figshare
Browse
pcem_a_1434132_sm3570.docx (884.3 kB)

Conflict-driven adaptive control is enhanced by integral negative emotion on a short time scale*

Download (884.3 kB)
Version 2 2018-11-28, 18:33
Version 1 2018-02-05, 13:32
journal contribution
posted on 2018-11-28, 18:33 authored by Qian Yang, Gilles Pourtois

Negative emotion influences cognitive control, and more specifically conflict adaptation. However, discrepant results have often been reported in the literature. In this study, we broke down negative emotion into integral and incidental components using a modern motivation-based framework, and assessed whether the former could change conflict adaptation. In the first experiment, we manipulated the duration of the inter-trial-interval (ITI) to assess the actual time-scale of this effect. Integral negative emotion was induced by using loss-related feedback contingent on task performance, and measured at the subjective and physiological levels. Results showed that conflict-driven adaptive control was enhanced when integral negative emotion was elicited, compared to a control condition without changes in defensive motivation. Importantly, this effect was only found when a short, as opposed to long ITI was used, suggesting that it had a short time scale. In the second experiment, we controlled for effects of feature repetition and contingency learning, and replicated an enhanced conflict adaptation effect when integral negative emotion was elicited and a short ITI was used. We interpret these new results against a standard cognitive control framework assuming that integral negative emotion amplifies specific control signals transiently, and in turn enhances conflict adaptation.

Funding

This work was supported by a grant (201606990022) from the China Scholarship Council (CSC) and co-funding (BOF) grant (BOFCHN2017000101) from Ghent University awarded to Qian Yang.

History

Usage metrics

    Cognition & Emotion

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC