Transferring sensor-based assessments to clinical practice: the case of muscle synergies

A Scano, V Lanzani, C Brambilla, A d'Avella - Sensors, 2024 - mdpi.com
Sensor-based assessments in medical practice and rehabilitation include the measurement
of physiological signals such as EEG, EMG, ECG, heart rate, and NIRS, and the recording of …

[HTML][HTML] SynergyAnalyzer: A Matlab toolbox implementing mixed-matrix factorization to identify kinematic-muscular synergies

M Russo, A Scano, C Brambilla, A d'Avella - Computer Methods and …, 2024 - Elsevier
Background and Objective A new direction in the study of motor control was opened about
two decades ago with the introduction of a model for the generation of motor commands as …

SSRI and motor recovery in stroke: reestablishment of inhibitory neural network tonus

CB Pinto, FG Saleh Velez, F Lopes… - Frontiers in …, 2017 - frontiersin.org
Selective serotonin reuptake inhibitors (SSRIs) are currently widely used in the field of the
neuromodulation not only because of their anti-depressive effects but also due to their ability …

Persistent changes in motor adaptation strategies after perturbations that require exploration of novel muscle activation patterns

DJ Berger, A d'Avella - Journal of Neurophysiology, 2023 - journals.physiology.org
Motor skill learning requires the acquisition of novel muscle patterns and a new control
policy—a process that requires time. In contrast, motor adaptation often requires only the …

Myoelectric control and virtual reality to enhance motor rehabilitation after stroke

DJ Berger, A d'Avella - Frontiers in Bioengineering and Biotechnology, 2024 - frontiersin.org
Effective upper-limb rehabilitation for severely impaired stroke survivors is still missing.
Recent studies endorse novel motor rehabilitation approaches such as robotic exoskeletons …

Exposure to an incompatible virtual surgery impacts the null space components of the muscle patterns after re-adaptation but not the task performance

DJ Berger, A d'Avella - … Conference of the IEEE Engineering in …, 2023 - ieeexplore.ieee.org
Under the synergy hypothesis, novel muscle synergies may be required for motor skill
learning. We have developed a" virtual surgery" experimental paradigm that alters the …

Muscle synergies for multidirectional isometric force generation during maintenance of upright standing posture

A Monte, A Benamati, A Pavan, A d'Avella… - Experimental Brain …, 2024 - Springer
Muscle synergies are defined as coordinated recruitment of groups of muscles with specific
activation balances and time profiles aimed at generating task-specific motor commands …

Muscle synergies as a tool to unveil specific features in the muscle patterns after cerebellar damage

DJ Berger, M Masciullo, M Molinari… - International Conference …, 2020 - Springer
We have recently provided evidence that cerebellar damage affects the spatiotemporal but
not the spatial organization of the muscle patterns, suggesting that the cerebellum plays a …

A novel force-constrained non-negative matrix factorization algorithm reveals the effectiveness of muscle synergies in the task space

DJ Berger, F Lacquaniti… - 2023 45th Annual …, 2023 - ieeexplore.ieee.org
According to the synergy hypothesis, the motor system recruits a small number of synergies
in a task-dependent manner. Existing synergy extraction algorithms typically only consider …

Challenges and Future Directions Using Muscle Synergies for Reliable Assessment in Neurorehabilitation

A d'Avella, A Scano, M Nocilli, DJ Berger - International Conference on …, 2024 - Springer
Muscle synergy analysis is an established method for studying motor control in basic
neuroscience based on multichannel EMG recordings. Changes in muscle synergy structure …