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Effects of Stimulus Type and Strategy on Mental Rotation Network: An Activation Likelihood Estimation Meta-Analysis

机译:刺激类型和策略对心理旋转网络的影响:激活可能性估计的荟萃分析

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摘要

We can predict how an object would look like if we were to see it from different viewpoints. The brain network governing mental rotation (MR) has been studied using a variety of stimuli and tasks instructions. By using activation likelihood estimation (ALE) meta-analysis we tested whether different MR networks can be modulated by the type of stimulus (body vs. non-body parts) or by the type of tasks instructions (motor imagery-based vs. non-motor imagery-based MR instructions). Testing for the bodily and non-bodily stimulus axis revealed a bilateral sensorimotor activation for bodily-related as compared to non-bodily-related stimuli and a posterior right lateralized activation for non-bodily-related as compared to bodily-related stimuli. A top-down modulation of the network was exerted by the MR tasks instructions with a bilateral (preferentially sensorimotor left) network for motor imagery- vs. non-motor imagery-based MR instructions and the latter activating a preferentially posterior right occipito-temporal-parietal network. The present quantitative meta-analysis summarizes and amends previous descriptions of the brain network related to MR and shows how it is modulated by top-down and bottom-up experimental factors.
机译:我们可以预测从不同角度看物体的外观。已经使用各种刺激和任务指令研究了控制精神旋转(MR)的大脑网络。通过使用激活可能性估计(ALE)荟萃分析,我们测试了不同的MR网络是否可以通过刺激类型(身体部位与非身体部位)或任务指令类型(基于运动图像的与非运动部位的)进行调制。基于运动图像的MR指令)。对身体和非身体刺激轴的测试显示,与非身体相关的刺激相比,对身体相关的双侧感觉运动激活,与身体相关的刺激相比,对非身体相关的后右向侧向激活。 MR任务指令对网络进行了自上而下的调制,而双边(优先是感觉运动左)网络则基于运动图像,而非基于非运动图像的MR指令,后者激活了优先向后枕骨-颞-后-壁网。本定量荟萃分析总结并修正了与MR相关的大脑网络的先前描述,并显示了其如何受自上而下和自下而上的实验因素的调节。

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