Long-term training-dependent representation of individual finger movements in the primary motor cortex

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 othe...

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Bibliographic Details
Published in:NeuroImage (Orlando, Fla.) Fla.), 2019-11, Vol.202, p.116051-116051, Article 116051
Main Authors: Ogawa, Kenji, Mitsui, Kaoru, Imai, Fumihito, Nishida, Shuhei
Format: Article
Language:English
Subjects:
Classification
Cortex (motor)
Finger
fMRI
Functional magnetic resonance imaging
Medical imaging
Motor learning
Motor task performance
Multi-voxel pattern analysis
Neural coding
Neuroimaging
NMR
Nuclear magnetic resonance
Piano
Primary motor cortex
Somatosensory cortex
Studies
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Summary: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.
ISSN:1053-8119
1095-9572
DOI:10.1016/j.neuroimage.2019.116051