Publications associées à A hybrid BCI based on the fusion of EEG and EMG activities

Cyclo His-Pro Attenuates Muscle Degeneration in Murine Myopathy Models

Johan Auwerx, Xiaoxu Li, Alessia De Masi, Tanes Imamura de Lima, Keno Strotjohann

Among the inherited myopathies, a group of muscular disorders characterized by structural and metabolic impairments in skeletal muscle, Duchenne muscular dystrophy (DMD) stands out for its devastating progression. DMD pathogenesis is driven by the progress ...

Wiley2024

Unraveling behavior and cortical signals to guide the development of soft neuroprostheses for auditory restoration and spreading depolarization

Emilie Cornelia Maria Revol

Neuroprostheses have been used clinically for decades, to help restore or preserve brain functions, when pharmaceutical treatments are inefficient. Although great progress in the field has been made over the years to interface with the nervous system, surf ...

EPFL2024

Characterization of Cyclo His-Pro for the prevention and treatment of liver disease and muscular dystrophy

Alessia De Masi

The natural compound Cyclo Histidine-Proline (CHP) was initially discovered in the brain, but thereafter evaluated in the context of diabetes because of its hypoglycemic action. The pharmacokinetics and the toxicological profile of CHP showed it can be dos ...

EPFL2023

Brain-controlled spinal cord stimulation to restore mobility after spinal cord injury

Carmina Andrea Galvez Solano

Spinal Cord Injury (SCI) affects almost 500,000 people every year, causing complete paralysis of both legs in severe cases, with no current treatment perspective. However, new neuroengineering technologies, such as the Brain Spine Interface (BSI), have eme ...

EPFL2023

Real-time actuation of a dielectric elastomer actuator neuroprosthesis for facial paralysis

Yves Perriard, Yoan René Cyrille Civet, Thomas Guillaume Martinez, Stefania Maria Aliki Konstantinidi, Armando Matthieu Walter, Amine Benouhiba

Facial paralysis is a highly burdening condition, resulting in a patient's inability to move his mimic musculature on one or both sides of his face. This condition compromises the patient's communication and facial expressions, and thus dramatically reduce ...

2023

Understanding motor control and impairment: An upper-limb model for muscular assessment

Tristan Jean Robin Barjavel

The human upper limb is a complex musculoskeletal system that can still perform various tasks with impressive efficacy thanks to the ability of the central nervous system to control and modulate the activation of more than 40 muscles. Stroke is a leading ...

EPFL2023

Assessment of idiopathic inflammatory myopathy using a deep learning method for muscle T2 mapping segmentation

Tobias Kober, Tom Hilbert, Qian Wang, Yubo Zhao, Yao Zhang

Objective To investigate the utility of an automatic deep learning (DL) method for segmentation of T2 maps in patients with idiopathic inflammatory myopathy (IIM) against healthy controls, and also the association of quantitative T2 values in patients with ...

SPRINGER2022

Sense of agency for intracortical brain-machine interfaces

Olaf Blanke, Andrea Serino, Marco Solcà, Nathan Quentin Faivre, Pavo Orepic, Tommaso Enrico Bertoni, Gaurav Sharma

Intracortical brain-machine interfaces decode motor commands from neural signals and translate them into actions, enabling movement for paralysed individuals. The subjective sense of agency associated with actions generated via intracortical brain-machine ...

NATURE PORTFOLIO2022

Urolithin A improves muscle function by inducing mitophagy in muscular dystrophy

Johan Auwerx, Pénélope Andreux, Peiling Luan, Hao Li, Davide D'Amico, Pirkka-Pekka Untamo Laurila, Martin Rainer Wohlwend, Tanes Imamura de Lima

Duchenne muscular dystrophy (DMD) is the most common muscular dystrophy, and despite advances in genetic and pharmacological disease-modifying treatments, its management remains a major challenge. Mitochondrial dysfunction contributes to DMD, yet the mecha ...

AMER ASSOC ADVANCEMENT SCIENCE2021

Computational approaches to decode grasping force and velocity level in upper-limb amputee from intraneural peripheral signals

Silvestro Micera, Ivo Strauss, Giacomo Valle

Objective. Recent results have shown the potentials of neural interfaces to provide sensory feedback to subjects with limb amputation increasing prosthesis usability. However, their advantages for decoding motor control signals over current methods based o ...

IOP Publishing Ltd2021

BET1 variants establish impaired vesicular transport as a cause for muscular dystrophy with epilepsy

Matteo Dal Peraro, Mykola Dergai, Ying Hu

BET1 is required, together with its SNARE complex partners GOSR2, SEC22b, and Syntaxin-5 for fusion of endoplasmic reticulum-derived vesicles with the ER-Golgi intermediate compartment (ERGIC) and the cis-Golgi. Here, we report three individuals, from two ...

WILEY2021

Motor state transitions and Breathing in Brain Machine Interfaces

Bastien Orset

Brain-Machine interfaces aim to create a direct neural link between user's brain and machines. This goal has pushed scientists to investigate a large spectrum of applications in the realm of assistive and rehabilitation technologies. However, despite great ...

EPFL2021

Development of a peripheral neuroprosthesis to elicit fine hand movements in primates

Marion Aimée Geneviève Badi-Dubois

Neurological disorders such as spinal cord lesion and stroke disturb sensorimotor pathways and result in severe motor deficits that can dreadfully impact the quality of life of affected individuals. Strategies aiming at restoring hand function after upper- ...

EPFL2021

Predicting task performance from biomarkers of mental fatigue in global brain activity

Mahsa Shoaran

Objective. Detection and early prediction of mental fatigue (i.e. shifts in vigilance), could be used to adapt neuromodulation strategies to effectively treat patients suffering from brain injury and other indications with prominent chronic mental fatigue. ...

IOP PUBLISHING LTD2021

A Modular Workflow for Model Building, Analysis, and Parameter Estimation in Systems Biology and Neuroscience

Daniel Keller, Andrii Stepaniuk

Neuroscience incorporates knowledge from a range of scales, from single molecules to brain wide neural networks. Modeling is a valuable tool in understanding processes at a single scale or the interactions between two adjacent scales and researchers use a ...

HUMANA PRESS INC2022

Adaptation and Optimization of an Intraneural Electrode to Interface with the Cervical Vagus Nerve

Silvestro Micera, Ivo Strauss

The modulation of the cervical vagus nerve (VN) using neural electrodes has shown great potential to treat cardiovascular, inflammatory, intestinal, or respiratory dysfunctions. Intraneural electrodes have shown great potentials for other neuroprosthetic a ...

IEEE2021

Hardware and Software Interfaces Design for Multi-Panel Electrochemical Sensors

Mandresy Ivan Ny Hanitra

The exponential growth of wearable healthcare devices market is fostered by the internetof- things (IoT) era. Connected smart biosensors enable a decentralized healthcare that does not constrain the user to be in a medical facility to get a real-time insig ...

EPFL2021

Adaptive Wireless Power Transfer and Backscatter Communication for Perpetual Operation of Wireless Brain-Computer Interfaces

James Daniel Rosenthal

Brain-computer interfaces (BCIs) are neural prosthetics that enable closed-loop electrophysiology procedures. These devices are currently used in fundamental neurophysiology research, and they are moving toward clinical viability for neural rehabilitation. ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Metabolic rescue of muscle and muscle stem cells in muscle disease

Peiling Luan

Duchenne muscular dystrophy (DMD), caused by the mutation of dystrophin gene, is an X-linked disorder that affects 1 in 3500 males, leading to progressive muscle degeneration and eventually resulting in premature death. Increasing evidence indicates that D ...

EPFL2020

Hybrid Human-Machine Interface for Gait Decoding Through Bayesian Fusion of EEG and EMG Classifiers

Luca Tonin, Silvestro Micera, Fiorenzo Artoni, Stefano Tortora

Despite the advances in the field of brain computer interfaces (BCI), the use of the sole electroencephalography (EEG) signal to control walking rehabilitation devices is currently not viable in clinical settings, due to its unreliability. Hybrid interface ...

2020