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认知控制训练可增强青少年内在功能网络的整合。

Cognitive control training enhances the integration of intrinsic functional networks in adolescents.

作者信息

Lee Raihyung, Kwak Seyul, Lee Dasom, Chey Jeanyung

机构信息

Department of Psychology, Seoul National University, Seoul, South Korea.

Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States.

出版信息

Front Hum Neurosci. 2022 Nov 24;16:859358. doi: 10.3389/fnhum.2022.859358. eCollection 2022.

Abstract

INTRODUCTION

We have demonstrated that intensive cognitive training can produce sustained improvements in cognitive performance in adolescents. Few studies, however, have investigated the neural basis of these training effects, leaving the underlying mechanism of cognitive plasticity during this period unexplained.

METHODS

In this study, we trained 51 typically developing adolescents on cognitive control tasks and examined how their intrinsic brain networks changed by applying graph theoretical analysis. We hypothesized that the training would accelerate the process of network integration, which is a key feature of network development throughout adolescence.

RESULTS

We found that the cognitive control training enhanced the integration of functional networks, particularly the cross-network integration of the cingulo-opercular network. Moreover, the analysis of additional data from older adolescents revealed that the cingulo-opercular network was more integrated with other networks in older adolescents than in young adolescents.

DISCUSSION

These findings are consistent with the hypothesis that cognitive control training may speed up network development, such that brain networks exhibit more mature patterns after training.

摘要

引言

我们已经证明,强化认知训练可以使青少年的认知表现得到持续改善。然而,很少有研究调查这些训练效果的神经基础,这使得这一时期认知可塑性的潜在机制仍未得到解释。

方法

在本研究中,我们对51名发育正常的青少年进行了认知控制任务训练,并通过应用图论分析来研究他们的内在脑网络是如何变化的。我们假设,训练将加速网络整合过程,这是整个青春期网络发育的一个关键特征。

结果

我们发现,认知控制训练增强了功能网络的整合,特别是扣带 - 脑岛网络的跨网络整合。此外,对年龄较大青少年的额外数据分析表明,与年轻青少年相比,年龄较大青少年的扣带 - 脑岛网络与其他网络的整合程度更高。

讨论

这些发现与认知控制训练可能加速网络发育的假设一致,即训练后脑网络呈现出更成熟的模式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1e4/9729882/744a5110933c/fnhum-16-859358-g001.jpg

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