Literature DB >> 31048096

A novel process-based approach to improve resilience: Effects of computerized mouse-based (gaze)contingent attention training (MCAT) on reappraisal and rumination.

Alvaro Sanchez-Lopez1, Rudi De Raedt2, Jill van Put2, Ernst H W Koster2.   

Abstract

Stress dysregulation is a transdiagnostic marker of emotional disorders, related to biases in attention toward negative information. We adapted a computerized process-based training targeting these attention mechanisms through mouse-based contingency responses and examined its effects on reappraisal and rumination. Forty-one participants were randomly assigned to either a control or an active training condition of mouse-based contingent attention training (MCAT). Participants in the active condition were instructed to allocate attention toward positive words to generate positive interpretations, by using attention regulation while receiving contingent feedback on their attention to emotional words. Participants in the control condition freely generated interpretations without receiving contingent feedback. Transfer to reappraisal and state rumination was evaluated by administering an emotion regulation paradigm before and after the training. Mouse-based attention estimations showed a high degree of congruency with real eye/gaze-based attention estimations, as measured with eye-tracking performed in parallel. Furthermore, active MCAT resulted in several beneficial effects, including: 1) a higher attention toward positive over negative information; 2) an improved reappraisal ability to down-regulate negative emotions, and 3) a larger state rumination reduction in comparison to the control group. Our findings supports MCAT as a promising way to monitor and train attention, being an innovative instrument for online interventions aimed to improve stress regulation and resilience.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Gaze-contingent training; Reappraisal; Resilience; Rumination; Selective attention

Mesh:

Year:  2019        PMID: 31048096     DOI: 10.1016/j.brat.2019.04.005

Source DB:  PubMed          Journal:  Behav Res Ther        ISSN: 0005-7967


  3 in total

1.  Cloud-Based Functional Magnetic Resonance Imaging Neurofeedback to Reduce the Negative Attentional Bias in Depression: A Proof-of-Concept Study.

Authors:  Anne C Mennen; Nicholas B Turk-Browne; Grant Wallace; Darsol Seok; Adna Jaganjac; Janet Stock; Megan T deBettencourt; Jonathan D Cohen; Kenneth A Norman; Yvette I Sheline
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2020-10-31

2.  A Novel Experience Sampling Method Tool Integrating Momentary Assessments of Cognitive Biases: Two Compliance, Usability, and Measurement Reactivity Studies.

Authors:  Teresa Boemo; Angela Socastro; Ivan Blanco; Oscar Martin-Garcia; Ana Mar Pacheco-Romero; Raquel Rodríguez-Carvajal; Alvaro Sanchez-Lopez
Journal:  JMIR Form Res       Date:  2022-03-28

3.  'Relearning how to think': A brief online intervention to modify biased interpretations in emotional disorders-study protocol for a randomised controlled trial.

Authors:  Inés Nieto; Carmelo Vazquez
Journal:  Trials       Date:  2021-07-31       Impact factor: 2.279

  3 in total

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