Cho Jinju, An Dayeong, Cho Eunhye, Kim Daeun, Choi Ingyu, Cha Jihyun, Choi JongKwan, Na Duk L, Jang Hyemin, Chin Juhee
Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
BeauBrain Healthcare, Inc., Seoul, Republic of Korea.
Front Aging Neurosci. 2023 Nov 23;15:1250420. doi: 10.3389/fnagi.2023.1250420. eCollection 2023.
As the population ages and the prevalence of dementia increases, there is a growing emphasis on the importance of cognitive training to prevent dementia. A smartphone application-based cognitive training software program, BeauBrain Trainer (BBT), has been developed to provide better access to cognitive training for older adults. Numerous studies have revealed the effectiveness of cognitive training using a cognitive assessment tool. However, relatively few studies have evaluated brain activation using brain imaging as a result of improved cognitive function.
All participants were required to download the BBT, an Android-based application for cognitive training, onto their own smartphone or tablet computer and to engage in cognitive training at home. Older adults without dementia were enrolled in this study, including 51 participants in the intervention group and 50 participants in the control group. The BBT comprised a set of 12 cognitive tasks, including two tasks in each of the following six cognitive domains: attention, language, calculation, visuospatial function, memory, and frontal/executive function. Each cognitive task was divided into four blocks based on its level of difficulty. A 16-week cognitive training was designed to carry out cognitive tasks using a total of 48 blocks (12 tasks × 4 levels) for at least 1.5 h per day, 5 days per week. All participants in the intervention group were given BBT tasks that gradually increased in difficulty level, which they submitted through a smartphone application daily for 16 weeks. The researchers monitored the participants' task performance records on the website and encouraged participants to engage in cognitive training through regular contact. This study was conducted to investigate the improvement in cognitive function and the activation pattern of the frontal cortex in older adults participating in smartphone application-based cognitive training. The cognitive assessment tool was the BeauBrain cognitive screening test (CST), a tablet-based computerized cognitive screening test. The activation pattern of the frontal cortex was measured using functional near-infrared spectroscopy (fNIRS). Additionally, this study aimed to determine the positive effects of cognitive training on everyday functioning and psychological states using a questionnaire.
Of 101 participants, 85 older adults without dementia (84.1%) who completed the study protocol were included in the statistical analysis. There were 41 participants (80.3%) in the intervention group and 44 participants (88.0%) in the control group. A two-way repeated-measures analysis of variance (ANOVA) was used to compare the cognitive scores over a 16-week period between the intervention and control groups. According to the CST results, the intervention group exhibited a statistically significant increase in the language subtest scores, specifically the phonemic word fluency test, compared to those of the control group. The fNIRS results revealed greater activation in the dorsolateral prefrontal cortex during the STROOP incongruent task in the intervention group than did the control group. However, the effectiveness of cognitive training was not observed across a variety of rating scales, including everyday functioning, depression, self-efficacy, attention, and subjective memory complaints.
This study revealed that a smartphone-based cognitive training application led to improvements in phonemic generative naming ability and activation of the prefrontal cortex in older adults without dementia. This study is meaningful because it confirmed that cognitive training is partially effective in enhancing frontal lobe function. It also provided information on the brain mechanisms related to the effects of cognitive training using fNIRS.
随着人口老龄化以及痴呆症患病率的上升,认知训练对预防痴呆症的重要性日益受到重视。已开发出一款基于智能手机应用程序的认知训练软件BeauBrain Trainer(BBT),以便为老年人提供更好的认知训练途径。众多研究揭示了使用认知评估工具进行认知训练的有效性。然而,由于认知功能改善而通过脑成像评估大脑激活情况的研究相对较少。
所有参与者都被要求在自己的智能手机或平板电脑上下载BBT(一款基于安卓系统的认知训练应用程序),并在家中进行认知训练。本研究纳入了无痴呆症的老年人,其中干预组有51名参与者,对照组有50名参与者。BBT包含一组12项认知任务,在以下六个认知领域中各有两项任务:注意力、语言、计算、视觉空间功能、记忆和额叶/执行功能。每个认知任务根据其难度水平分为四个模块。一项为期16周的认知训练被设计为每天使用总共48个模块(12项任务×4个难度级别)进行认知任务,每周5天,每天至少1.5小时。干预组的所有参与者都被给予难度逐渐增加的BBT任务,他们通过智能手机应用程序每天提交任务,持续16周。研究人员在网站上监测参与者的任务表现记录,并通过定期联系鼓励参与者进行认知训练。本研究旨在调查参与基于智能手机应用程序的认知训练的老年人的认知功能改善情况以及额叶皮质的激活模式。认知评估工具是BeauBrain认知筛查测试(CST),这是一种基于平板电脑的计算机化认知筛查测试。使用功能近红外光谱(fNIRS)测量额叶皮质的激活模式。此外,本研究旨在通过问卷调查确定认知训练对日常功能和心理状态的积极影响。
在101名参与者中,85名完成研究方案的无痴呆症老年人(84.1%)被纳入统计分析。干预组有41名参与者(80.3%),对照组有44名参与者(88.0%)。采用双向重复测量方差分析(ANOVA)来比较干预组和对照组在16周内的认知得分。根据CST结果,与对照组相比,干预组在语言子测试得分上有统计学显著提高,特别是在音素词流畅性测试方面。fNIRS结果显示,干预组在STROOP不一致任务期间背外侧前额叶皮质的激活程度高于对照组。然而,在包括日常功能、抑郁、自我效能感、注意力和主观记忆抱怨等各种评分量表上未观察到认知训练的效果。
本研究表明,基于智能手机的认知训练应用程序可改善无痴呆症老年人的音素生成命名能力并激活前额叶皮质。本研究具有重要意义,因为它证实了认知训练在增强额叶功能方面部分有效。它还提供了与使用fNIRS进行认知训练效果相关的脑机制信息。