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Promising technological innovations in cognitive training to treat eating-related behavior
Journal article   Open access   Peer reviewed

Promising technological innovations in cognitive training to treat eating-related behavior

Evan M. Forman, Stephanie P. Goldstein, Daniel Flack, Brittney C. Evans, Stephanie M. Manasse and Cara Dochat
Appetite, v 124, pp 68-77
01 May 2018
PMID: 28414042
url
https://europepmc.org/articles/pmc5641227View
Accepted (AM)Open Access (License Unspecified) Open

Abstract

Behavioral Sciences Life Sciences & Biomedicine Nutrition & Dietetics Science & Technology
One potential reason for the suboptimal outcomes of treatments targeting appetitive behavior, such as eating and alcohol consumption, is that they do not target the implicit cognitive processes that may be driving these behaviors. Two groups of related neurocognitive processes that are robustly associated with dysregulated eating and drinking are attention bias (AB; selective attention to specific stimuli) and executive function (EF; a set of cognitive control processes such as inhibitory control, working memory, set shifting, that govern goal-directed behaviors). An increasing body of work suggests that EF and AB training programs improve regulation of appetitive behaviors, especially if trainings are frequent and sustained. However, several key challenges, such as adherence to the trainings in the long term, and overall potency of the training, remain. The current manuscript describes five technological innovations that have the potential to address difficulties related to the effectiveness and feasibility of EF and AB trainings: (1) deployment of training in the home, (2) training via smartphone, (3) gamification, (4) virtual reality, and (5) personalization. The drawbacks of these innovations, as well as areas for future research, are also discussed. The above-mentioned innovations are likely to be instrumental in the future empirical work to develop and evaluate effective EF and AB trainings for appetitive behaviors. (C) 2017 Elsevier Ltd. All rights reserved.

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Web of Science research areas
Behavioral Sciences
Nutrition & Dietetics
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