TY - JOUR
T1 - Complexity of modular neuromuscular control increases and variability decreases during human locomotor development
AU - Sylos-Labini, Francesca
AU - La Scaleia, Valentina
AU - Cappellini, Germana
AU - Dewolf, Arthur
AU - Fabiano, Adele
AU - Solopova, Irina A.
AU - Mondì, Vito
AU - Ivanenko, Yury
AU - Lacquaniti, Francesco
N1 - Funding Information:
We thank Tjeerd Boonstra and Andrea d’Avella for their helpful comments on the muscle network and NNMF analysis, respectively. This work was supported by the Italian Ministry of Health (Ricerca corrente, IRCCS Fondazione Santa Lucia, Ricerca Finalizzata RF-2019-12370232), the Italian Space Agency (grant I/006/06/0 and grant 2019-11-U.0), the Italian University Ministry (PRIN grant 2017CBF8NJ_005 and 2020EM9A8X_003), and INAIL BRIC 2019.
Publisher Copyright:
© 2022, The Author(s).
PY - 2022/12
Y1 - 2022/12
N2 - When does modular control of locomotion emerge during human development? One view is that modularity is not innate, being learnt over several months of experience. Alternatively, the basic motor modules are present at birth, but are subsequently reconfigured due to changing brain-body-environment interactions. One problem in identifying modular structures in stepping infants is the presence of noise. Here, using both simulated and experimental muscle activity data from stepping neonates, infants, preschoolers, and adults, we dissect the influence of noise, and identify modular structures in all individuals, including neonates. Complexity of modularity increases from the neonatal stage to adulthood at multiple levels of the motor infrastructure, from the intrinsic rhythmicity measured at the level of individual muscles activities, to the level of muscle synergies and of bilateral intermuscular network connectivity. Low complexity and high variability of neuromuscular signals attest neonatal immaturity, but they also involve potential benefits for learning locomotor tasks.
AB - When does modular control of locomotion emerge during human development? One view is that modularity is not innate, being learnt over several months of experience. Alternatively, the basic motor modules are present at birth, but are subsequently reconfigured due to changing brain-body-environment interactions. One problem in identifying modular structures in stepping infants is the presence of noise. Here, using both simulated and experimental muscle activity data from stepping neonates, infants, preschoolers, and adults, we dissect the influence of noise, and identify modular structures in all individuals, including neonates. Complexity of modularity increases from the neonatal stage to adulthood at multiple levels of the motor infrastructure, from the intrinsic rhythmicity measured at the level of individual muscles activities, to the level of muscle synergies and of bilateral intermuscular network connectivity. Low complexity and high variability of neuromuscular signals attest neonatal immaturity, but they also involve potential benefits for learning locomotor tasks.
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U2 - 10.1038/s42003-022-04225-8
DO - 10.1038/s42003-022-04225-8
M3 - Article
C2 - 36385628
AN - SCOPUS:85142006379
SN - 2399-3642
VL - 5
JO - Communications Biology
JF - Communications Biology
IS - 1
M1 - 1256
ER -