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多日学习和运动适应中储蓄的神经相关物。

Neural correlates of multi-day learning and savings in sensorimotor adaptation.

机构信息

School of Kinesiology, University of Michigan, Ann Arbor, MI, USA.

Department of Experimental Psychology, Ghent University, Ghent, Belgium.

出版信息

Sci Rep. 2018 Sep 24;8(1):14286. doi: 10.1038/s41598-018-32689-4.

Abstract

In the present study we evaluated changes in neural activation that occur over the time course of multiple days of sensorimotor adaptation, and identified individual neural predictors of adaptation and savings magnitude. We collected functional MRI data while participants performed a manual adaptation task during four separate test sessions over a three-month period. This allowed us to examine changes in activation and associations with adaptation and savings at subsequent sessions. Participants exhibited reliable savings of adaptation across the four sessions. Brain activity associated with early adaptation increased across the sessions in a variety of frontal, parietal, cingulate, and temporal cortical areas, as well as various subcortical areas. We found that savings was positively associated with activation in several striatal, parietal, and cingulate cortical areas including the putamen, precuneus, angular gyrus, dorsal anterior cingulate cortex (dACC), and cingulate motor area. These findings suggest that participants may learn how to better engage cognitive processes across days, potentially reflecting improvements in action selection. We propose that such improvements may rely on action-value assignments, which previously have been linked to the dACC and striatum. As correct movements are assigned a higher value than incorrect movements, the former are more likely to be performed again.

摘要

在本研究中,我们评估了在多日感觉运动适应过程中发生的神经激活变化,并确定了适应和节省幅度的个体神经预测因子。我们在三个月的时间内通过四个单独的测试会话收集了功能磁共振成像数据,从而可以检查后续会话中激活的变化及其与适应和节省的关联。参与者在四个会话中都表现出可靠的适应节省。在各种额叶、顶叶、扣带和颞叶皮质区域以及各种皮质下区域中,与早期适应相关的大脑活动在各个会话中均增加。我们发现,在包括纹状体、顶叶和扣带皮质区域在内的几个区域中,节省与激活呈正相关,这些区域包括壳核、后扣带回、角回、背侧前扣带皮层(dACC)和扣带运动区。这些发现表明,参与者可能在数天内学会更好地参与认知过程,这可能反映出在动作选择方面的改进。我们提出,这种改进可能依赖于动作值分配,先前已将其与 dACC 和纹状体联系起来。由于正确的动作比错误的动作分配更高的价值,因此前者更有可能再次执行。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/893b/6155344/9c5daeb77de2/41598_2018_32689_Fig1_HTML.jpg

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Neural predictors of sensorimotor adaptation rate and savings.
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