Long-term training-dependent representation of individual finger movements in the primary motor cortex
Long-term training-dependent representation of individual finger movements in the primary motor cortex
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初级运动皮层中个体手指运动的长期依赖于训练的表征
DOI：
10.1016/j.neuroimage.2019.116051
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
& Nishida S.
中科院分区：
文献类型：
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作者：
Ogawa K.;Mitsui K.;Imai F.;& Nishida S.
我们研究了长期训练对初级感觉运动皮层中单个手指运动的神经表征的影响。一组参与者（训练组）包括在弹钢琴方面接受过训练的受试者（平均经验年数= 17.9;范围= 9-26; n = 20）。另一组参与者（新手组）没有先前的经验（n = 20）。所有参与者都使用手的四个手指（食指，中指，无名指和小指）中的任何一个进行手指敲击运动。功能磁共振成像（fMRI）被用来分析空间激活模式引起的个人手指运动。随后，我们尝试使用多体素模式分析（MVPA）对正在移动的手指进行分类。我们的研究结果表明，在初级运动皮层（M1）和体感皮层（S1）对侧的手显着高于机会的分类准确性。我们还发现，与M1中的新手组相比，训练组中双手的分类准确率显着降低，平均信号变化和单个手指或手指之间重叠的激活体素数量没有显着差异。表征相似性分析（RSA）也证明了M1中训练组和新手组之间激活相似模式的差异。我们的研究结果表明，由于长期的训练，M1的个别手指运动的神经表征的调制。
We investigated the effects of long-term training on the neural representation of individual finger movements in the primary sensorimotor cortex. One group of participants (trained group) included subjects trained in playing the piano (mean years of experience = 17.9; range = 9–26; n = 20). The other group of participants (novice group) had no prior experience (n = 20). All participants performed finger-tapping movements using either of the four digits of the hand (index, middle, ring, and little fingers). Functional magnetic resonance imaging (fMRI) was used to analyze the spatial activation patterns elicited by individual finger movements. Subsequently, we tried to classify the finger that was being moved using a multi-voxel pattern analysis (MVPA). Our results showed significantly higher-than-chance classification accuracies in both primary motor cortex (M1) and somatosensory cortex (S1) contralateral to the hand. We also found significantly lower classification accuracies for both hands in the trained group compared with the novice group in M1, without significant differences in the average signal changes and the number of activated voxels for individual fingers or overlap between digits. Representational similarity analysis (RSA) also demonstrated the differences in similarity patterns of activations between the trained and novice groups in M1. Our results indicate the modulation of neural representations of individual finger movements of M1 due to long-term training.