School of Educational Science, Anhui Normal University, Wuhu 241000, China.
Neural Plast. 2020 Feb 24;2020:1869459. doi: 10.1155/2020/1869459. eCollection 2020.
Although the intervention effectiveness of cognitive control is disputed, some methods, such as single-task training, integrated training, meditation, aerobic exercise, and transcranial stimulation, have been reported to improve cognitive control. This review of recent advances from evaluation to prediction of cognitive control interventions suggests that brain modularity may be an important candidate marker for informing clinical decisions regarding suitable interventions. The intervention effect of cognitive control has been evaluated by behavioral performance, transfer effect, brain structure and function, and brain networks. Brain modularity can predict the benefits of cognitive control interventions based on individual differences and is independent of intervention method, group, age, initial cognitive ability, and education level. The prediction of cognitive control intervention based on brain modularity should extend to task states, combine function and structure networks, and assign different weights to subnetwork modularity.
尽管认知控制的干预效果存在争议，但一些方法，如单一任务训练、综合训练、冥想、有氧运动和经颅刺激，已被报道能改善认知控制。本综述从评估到预测认知控制干预的最新进展表明，大脑模块性可能是一个重要的候选标志物，为临床决策提供有关合适干预措施的信息。认知控制的干预效果已通过行为表现、转移效应、脑结构和功能以及脑网络进行评估。基于个体差异，大脑模块性可以预测认知控制干预的益处，并且独立于干预方法、群体、年龄、初始认知能力和教育水平。基于大脑模块性的认知控制干预预测应该扩展到任务状态，结合功能和结构网络，并为子网模块性分配不同的权重。
