Drexel University, United States.
Drexel University, United States.
Appetite. 2018 May 1;124:68-77. doi: 10.1016/j.appet.2017.04.011. Epub 2017 Apr 14.
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.
针对食欲行为(如饮食和饮酒)的治疗效果不理想的一个潜在原因是,这些治疗方法并未针对可能驱动这些行为的隐性认知过程。与饮食失调和饮酒行为密切相关的两组相关神经认知过程是注意偏向(AB;对特定刺激的选择性注意)和执行功能(EF;一组认知控制过程,如抑制控制、工作记忆、转换,它们控制着目标导向的行为)。越来越多的研究表明,EF 和 AB 训练计划可以改善食欲行为的调节,尤其是如果训练频繁且持续。然而,一些关键挑战仍然存在,例如长期坚持训练,以及训练的整体效果。本文描述了五项技术创新,这些创新有可能解决与 EF 和 AB 训练的有效性和可行性相关的困难:(1)在家中进行训练,(2)通过智能手机进行训练,(3)游戏化,(4)虚拟现实,以及(5)个性化。本文还讨论了这些创新的缺点,以及未来研究的领域。上述创新很可能对未来的实证工作有帮助,这些工作旨在开发和评估针对食欲行为的有效的 EF 和 AB 训练。