120936 20241125101125.0 doi 10.1113/JP283698 sideral 131440 ART-2023-131440 eng Hug, François Common synaptic input, synergies and size principle: Control of spinal motor neurons for movement generation 2023 Access copy available to the general public Unrestricted Understanding how movement is controlled by the CNS remains a major challenge, with ongoing debate about basic features underlying this control. In current established views, the concepts of motor neuron recruitment order, common synaptic input to motor neurons and muscle synergies are usually addressed separately and therefore seen as independent features of motor control. In this review, we analyse the body of literature in a broader perspective and we identify a unified approach to explain apparently divergent observations at different scales of motor control. Specifically, we propose a new conceptual framework of the neural control of movement, which merges the concept of common input to motor neurons and modular control, together with the constraints imposed by recruitment order. This framework is based on the following assumptions: (1) motor neurons are grouped into functional groups (clusters) based on the common inputs they receive; (2) clusters may significantly differ from the classical definition of motor neuron pools, such that they may span across muscles and/or involve only a portion of a muscle; (3) clusters represent functional modules used by the CNS to reduce the dimensionality of the control; and (4) selective volitional control of single motor neurons within a cluster receiving common inputs cannot be achieved. Here, we discuss this framework and its underlying theoretical and experimental evidence. info:eu-repo/grantAgreement/EC/H2020/847648 /EU/Junior Leader la Caixa Postdoctoral Fellowship Programme: Shaping the new generation of leaders in research/JUNIOR LEADER This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 847648 -JUNIOR LEADER info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 4.7 2023 PHYSIOLOGY 10 / 85 = 0.118 2023 Q1 T1 NEUROSCIENCES 63 / 310 = 0.203 2023 Q1 T1 1.708 2023 Sports Science 2023 Q1 Physiology 2023 Q1 9.7 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Avrillon, Simon Ibáñez, Jaime Universidad de Zaragoza (orcid)0000-0001-8439-151X Farina, Dario 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 601, 1 (2023), 11-20 J. physiol. JOURNAL OF PHYSIOLOGY-LONDON 0022-3751 2282419 http://zaguan.unizar.es/record/120936/files/texto_completo.pdf Versión publicada 2410164 http://zaguan.unizar.es/record/120936/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:120936 articulos driver 2024-11-22-11:57:24 ARTICLE