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静息态 fMRI 检测短期学习的影响:一项视觉搜索训练研究。

Resting-state fMRI detects the effects of learning in short term: A visual search training study.

机构信息

Neuropsychology and Functional Neuroimaging Group, Department of Basic Psychology, Clinical Psychology and Psychobiology, Universitat Jaume I, Castellón, Spain.

出版信息

Hum Brain Mapp. 2019 Jun 15;40(9):2787-2799. doi: 10.1002/hbm.24560. Epub 2019 Mar 11.

Abstract

Can resting-state functional connectivity (rs-FC) detect the impact of learning on the brain in the short term? To test this possibility, we have combined task-FC and rs-FC tested before and after a 30-min visual search training. Forty-two healthy adults (20 men) divided into no-contact control and trained groups completed the study. We studied the connectivity between four different regions of the brain involved in visual search: the primary visual area, the right posterior parietal cortex (rPPC), the right dorsolateral prefrontal cortex (rDLPFC), and the dorsal anterior cingulate cortex (dACC). Task-FC showed increased connectivity between the rPPC and rDLPFC and between the dACC and rDLPFC from pretraining to posttraining for both the control group and the trained group, suggesting that connectivity between these areas increased with task repetition. In rs-FC, we found enhanced connectivity between these regions in the trained group after training, especially in those with better learning. Whole brain independent component analyses did not reveal any change in main networks after training. These results imply that rs-FC may not only predict individual differences in task performance, but rs-FC might also serve to monitor the impact of learning on the brain after short periods of cognitive training, localizing them in brain areas specifically involved in training.

摘要

静息态功能连接(rs-FC)能否在短期检测到学习对大脑的影响?为了验证这一可能性,我们结合了任务-FC 和 rs-FC,在 30 分钟视觉搜索训练前后进行了测试。42 名健康成年人(20 名男性)分为无接触对照组和训练组完成了研究。我们研究了视觉搜索中涉及的四个不同脑区之间的连接:初级视觉区、右侧顶后皮质(rPPC)、右侧背外侧前额皮质(rDLPFC)和背侧前扣带皮质(dACC)。任务-FC 显示,无论是对照组还是训练组,从训练前到训练后,rPPC 和 rDLPFC 之间以及 dACC 和 rDLPFC 之间的连接性都增加了,这表明这些区域之间的连接性随着任务重复而增加。在 rs-FC 中,我们发现训练后训练组这些区域之间的连接增强,尤其是那些学习效果较好的区域。全脑独立成分分析(Independent Component Analysis,ICA)显示,训练后大脑的主要网络没有变化。这些结果表明,rs-FC 不仅可以预测任务表现的个体差异,还可以监测短期认知训练对大脑的影响,将其定位到专门参与训练的脑区。

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