The spinal cord facilitates cerebellar upper limb motor learning and control; inputs from neuromusculoskeletal simulation
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Bruel, Alice; Abadía Tercedor, Ignacio; Collin, Thibault; Sakr, Icare; Lorach, Henri; Luque Sola, Niceto Rafael; Ros Vidal, Eduardo; Ijspeert, AukeEditorial
Public Library of Science (PLOS)
Date
2024-01-02Referencia bibliográfica
Bruel A, Abadı´a I, Collin T, Sakr I, Lorach H, Luque NR, et al. (2024) The spinal cord facilitates cerebellar upper limb motor learning and control; inputs from neuromusculoskeletal simulation. PLoS Comput Biol 20(1): e1011008. https://doi.org/10.1371/journal.pcbi.1011008
Sponsorship
European Union Human Brain Project Specific Grant Agreement 3 (H2020-RIA.945539); SPIKEAGE [PID2020-113422GA-I00] by the Spanish Ministry of Science and Innovation MCIN/AEI/10.13039/501100011033; DLROB [TED2021-131294B-I00] funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR; MUSCLEBOT [CNS2022-135243] funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTRAbstract
Complex interactions between brain regions and the spinal cord (SC) govern body motion,
which is ultimately driven by muscle activation. Motor planning or learning are mainly conducted
at higher brain regions, whilst the SC acts as a brain-muscle gateway and as a motor
control centre providing fast reflexes and muscle activity regulation. Thus, higher brain
areas need to cope with the SC as an inherent and evolutionary older part of the body
dynamics. Here, we address the question of how SC dynamics affects motor learning within
the cerebellum; in particular, does the SC facilitate cerebellar motor learning or constitute a
biological constraint? We provide an exploratory framework by integrating biologically plausible
cerebellar and SC computational models in a musculoskeletal upper limb control loop.
The cerebellar model, equipped with the main form of cerebellar plasticity, provides motor
adaptation; whilst the SC model implements stretch reflex and reciprocal inhibition between
antagonist muscles. The resulting spino-cerebellar model is tested performing a set of
upper limb motor tasks, including external perturbation studies. A cerebellar model, lacking
the implemented SC model and directly controlling the simulated muscles, was also tested
in the same. The performances of the spino-cerebellar and cerebellar models were then
compared, thus allowing directly addressing the SC influence on cerebellar motor adaptation
and learning, and on handling external motor perturbations. Performance was assessed
in both joint and muscle space, and compared with kinematic and EMG recordings from
healthy participants. The differences in cerebellar synaptic adaptation between both models
were also studied. We conclude that the SC facilitates cerebellar motor learning; when the
SC circuits are in the loop, faster convergence in motor learning is achieved with simpler cerebellar
synaptic weight distributions. The SC is also found to improve robustness against
external perturbations, by better reproducing and modulating muscle cocontraction
patterns.