Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America.
Department of Psychology, Tufts University, Medford, MA, United States of America.
Sci Rep. 2017 Jul 19;7(1):5808. doi: 10.1038/s41598-017-06237-5.
The potential impact of brain training methods for enhancing human cognition in healthy and clinical populations has motivated increasing public interest and scientific scrutiny. At issue is the merits of intervention modalities, such as computer-based cognitive training, physical exercise training, and non-invasive brain stimulation, and whether such interventions synergistically enhance cognition. To investigate this issue, we conducted a comprehensive 4-month randomized controlled trial in which 318 healthy, young adults were enrolled in one of five interventions: (1) Computer-based cognitive training on six adaptive tests of executive function; (2) Cognitive and physical exercise training; (3) Cognitive training combined with non-invasive brain stimulation and physical exercise training; (4) Active control training in adaptive visual search and change detection tasks; and (5) Passive control. Our findings demonstrate that multimodal training significantly enhanced learning (relative to computer-based cognitive training alone) and provided an effective method to promote skill learning across multiple cognitive domains, spanning executive functions, working memory, and planning and problem solving. These results help to establish the beneficial effects of multimodal intervention and identify key areas for future research in the continued effort to improve human cognition.
大脑训练方法在健康和临床人群中增强人类认知的潜在影响激发了公众日益增长的兴趣和科学审查。问题在于干预方式的优点,如基于计算机的认知训练、体育锻炼训练和非侵入性脑刺激,以及这些干预措施是否协同增强认知。为了研究这个问题,我们进行了一项为期 4 个月的综合随机对照试验,其中 318 名健康的年轻成年人被纳入以下五种干预措施之一:(1)基于计算机的执行功能的六个自适应测试的认知训练;(2)认知和体育锻炼训练;(3)认知训练结合非侵入性脑刺激和体育锻炼训练;(4)自适应视觉搜索和变化检测任务中的主动控制训练;(5)被动控制。我们的研究结果表明,多模态训练显著提高了学习(相对于单独基于计算机的认知训练),并提供了一种有效方法,以促进多个认知领域的技能学习,包括执行功能、工作记忆、计划和解决问题。这些结果有助于确立多模态干预的有益效果,并确定未来研究的关键领域,以继续努力提高人类认知。