98%
921
2 minutes
20
As we learn to perform a motor task with novel dynamics, the central nervous system must adapt motor commands and modify sensorimotor transformations. The objective of the current research is to identify the neural mechanisms underlying the adaptive process. It has been shown previously that an increase in muscle co-contraction is frequently associated with the initial phase of adaptation and that co-contraction is gradually reduced as performance improves. Our investigation focused on the neural substrates of muscle co-contraction during the course of motor adaptation using a resting-state fMRI approach in healthy human subjects of both genders. We analyzed the functional connectivity in resting-state networks during three phases of adaptation, corresponding to different muscle co-contraction levels and found that change in the strength of functional connectivity in one brain network was correlated with a metric of co-contraction, and in another with a metric of motor learning. We identified the cerebellum as the key component for regulating muscle co-contraction, especially its connection to the inferior parietal lobule, which was particularly prominent in early stage adaptation. A neural link between cerebellum, superior frontal gyrus and motor cortical regions was associated with reduction of co-contraction during later stages of adaptation. We also found reliable changes in the functional connectivity of a network involving primary motor cortex, superior parietal lobule and cerebellum that were specifically related to the motor learning. It is well known that co-contracting muscles is an effective strategy for providing postural stability by modulating mechanical impedance and thereby allowing the central nervous system to compensate for unfamiliar or unexpected physical conditions until motor commands can be appropriately adapted. The present study elucidates the neural substrates underlying the ability to modulate the mechanical impedance of a limb as we learn during motor adaptation. Using resting-state fMRI analysis we demonstrate that a distributed cerebellar-parietal-frontal network functions to regulate muscle co-contraction with the cerebellum as its key component.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8244981 | PMC |
http://dx.doi.org/10.1523/JNEUROSCI.2924-19.2021 | DOI Listing |
J Neurophysiol
September 2025
Graduate School of Science and Technology, Shinshu University, 3-15-1 Tokida, Ueda, Nagano 3868567, Japan.
This study investigated the correlation between the strength of correlated effective neural drive (END) to the antagonistic muscles and the fluctuations in neural/electrical and mechanical output around the joint during steady co-contraction, and whether the correlated END strength estimated from conventional surface EMG is correlated with that determined from motor unit (MU) discharges. Fourteen young male participants performed isometric steady co-contractions with their medial gastrocnemius and tibialis anterior muscles at 10% of maximal EMG while sitting. Correlated END strength was quantified as the maximum value of the cross-correlation function between the conventional surface EMG signals and between MU discharges decomposed from high-density surface EMG of each muscle.
View Article and Find Full Text PDFJ Foot Ankle Res
September 2025
Sports Medicine and Rehabilitation Center, Shanghai University of Sport, Shanghai, China.
Objective: This study aims to investigate whether alterations in the lower extremity kinematics, kinetics, and muscle activity of individuals with chronic ankle instability (CAI) occur during landing with expected and unexpected inversion perturbations.
Methodology: PubMed, Embase, Cochrane Library, Web of Science, and Scopus databases were searched for relevant studies up to November 30, 2024. Comparative studies investigating the characteristics of lower extremity kinematics, kinetics, and muscle activity in individuals with CAI compared with healthy controls were included.
Gait Posture
August 2025
Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
Background: During pregnancy, significant physiological, morphological, and hormonal changes profoundly affect women's biomechanics, increasing the risk of falls and musculoskeletal complaints, especially in the third trimester. To understand movement adaptations and musculoskeletal disorders in pregnant women, kinetic analysis using pregnant-specific multi-segment or musculoskeletal models is essential. This review aims to evaluate the development, applications and limitations of such models intended for kinetic analysis in pregnancy.
View Article and Find Full Text PDFJ Physiol
September 2025
Marion Murray Spinal Cord Injury Research Center, Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, USA.
Within a year after a spinal cord injury (SCI), 75% of individuals develop spasticity. While normal movement relies on the ability to adjust reflexes appropriately, and on reciprocal inhibition of antagonistic muscles, spastic individuals display hyperactive spinal reflexes and involuntary muscle co-contractions. Current anti-spastic medications can suppress uncontrolled movements, but by acting on GABAergic signalling, these medications lead to severe side-effects and weakened muscle force, making them incompatible with activity-based therapies.
View Article and Find Full Text PDFIEEE Trans Neural Syst Rehabil Eng
September 2025
This study investigates the structural and functional characteristics of residual muscles in transtibial amputees (TTAs) to improve electromyography (EMG)-based prosthetic control. Using ultrasonography, we measured the thickness of the Tibialis Anterior (TA), Peroneus Longus (PL), Gastrocnemius Medialis (GM), and Lateralis (GL) at rest and during contraction. Surface EMG was employed to assess muscle activation patterns, co-contraction levels, and accuracy in modulating submaximal contractions at 25%, 50%, and 75% of maximum voluntary contraction (MVC).
View Article and Find Full Text PDF