The learning-relative hemodynamic modulation of cortical plasticity induced by a force-control motor training

Yongrong Wang; Shuai Feng; Rui Yang; Wensheng Hou; Xiaoying Wu; Lin Chen

doi:10.3389/fnins.2022.922725

The learning-relative hemodynamic modulation of cortical plasticity induced by a force-control motor training

Front Neurosci. 2022 Sep 8:16:922725. doi: 10.3389/fnins.2022.922725. eCollection 2022.

Authors

Yongrong Wang¹, Shuai Feng¹, Rui Yang¹, Wensheng Hou^{1

2

3}, Xiaoying Wu^{1

2

4}, Lin Chen^{1

2}

Affiliations

¹ Key Laboratory of Biorheological Science and Technology of Ministry of Education, Chongqing University, Chongqing, China.
² Chongqing Key Laboratory of Artificial Intelligence and Service Robot Control Technology, Chongqing University, Chongqing, China.
³ Collaborative Innovation Center for Brain Science, Chongqing University, Chongqing, China.
⁴ Chongqing Medical Electronics Engineering Technology Research Center, Chongqing University, Chongqing, China.

Abstract

Background: Novel motor skills are generally acquired through repetitive practices which are believed to be strongly related to neural plasticity mechanisms. This study aimed to investigate the learning-relative hemodynamic modulation of cortical plasticity induced by long-term motor training.

Methods: An 8-day participation-control program was conducted. Eighteen right-handed healthy participants were recruited and randomly assigned into the training (12) and control groups (6). The training group were arranged to undergo the 8-day block-designed motor training which required to repeat a visuomotor force-control task. The functional near-infrared spectroscopy (fNIRS) was used to continuously monitor the cortical hemodynamic response during training. Two transcranial magnetic stimulation (TMS) measurements were performed before and after training to evaluate the cortical excitability changes. The transfer effects of learning were also investigated.

Results: The behavior performance was quantified via score execution accuracy to illustrate the fast/slow learning stages as experience cumulated. The cortical hemodynamic activations mapped by fNIRS exhibited a temporal evolution trends that agreed the expansion-renormalization model, which assumed the brain modulation against skill acquisition includes complex mechanisms of neural expansion, selection, and renormalization. Functional connectivity (FC) analysis showed the FC strength was maintained, while the measured homodynamic activation returned to baseline after certain level of skill acquisition. Furthermore, the TMS results demonstrated a significant increase of motor evoked potential (MEP) on the targeted muscle for the trained participants, who significantly outperformed the untrained subjects in learning transfer investigation.

Conclusion: The study illustrated the expansion-renormalization trends during continuous motor training, and relative analysis showed the functional connectivity enhancement may be maintained after amplitude renormalization of cortical hemodynamic activations. The TMS findings further gave an implication of neural facilitations on the descending motor pathway when brain activation returned to renormalization status after certain level of learning stages was achieved, and the learning can transfer to enhance the performance while encountering similar tasks.

Keywords: functional near infrared spectroscopy (fNIRS); hemodynamic modulation; motor cortex; motor learning; plasticity.