Publications de Elvira Pirondini

Post stroke recovery prediction

Dimitri Nestor Alice Van De Ville, Elvira Pirondini

The present relates to a method for generating a graph representing a virtually lesioned connectome of a patient after a stroke comprising:- providing structural data of the brain of the patient after the stroke;- segmenting said structural data to delinea ...

2024

Prediction of post-stroke motor recovery benefits from measures of sub-acute widespread network damages

Dimitri Nestor Alice Van De Ville, Elvira Pirondini, Maria Giulia Preti, Cyprien Alban Félicien Rivier

Rivier et al. report that global measures of brain connectivity estimated by introducing virtual lesions in healthy structural connectomes significantly increase the accuracy of motor recovery prediction in stroke patients when added to focal and clinical ...

OXFORD UNIV PRESS2023

A spinal cord neuroprosthesis for locomotor deficits due to Parkinson's disease

Auke Ijspeert, Tomislav Milekovic, Léonie Asboth, Camille Georgette Marie Le Goff-Mignardot, Giuseppe Schiavone, Elvira Pirondini, Stéphanie Lacour, Silvestro Micera, Grégoire Courtine, Eduardo Martin Moraud, Marco Capogrosso, David Allenson Borton, Jean François Pierre Laurens, Jean-Baptiste Mignardot, Flavio Raschella, Robin Jonathan Demesmaeker, Simon Borgognon, Jocelyne Bloch, Shiqi Sun, Sergio Daniel Hernandez, Jordan Squair, Nicolò Macellari, Jimmy James Ravier, Carmina Andrea Galvez Solano, Grégory Didier Dumont

People with late-stage Parkinson's disease (PD) often suffer from debilitating locomotor deficits that are resistant to currently available therapies. To alleviate these deficits, we developed a neuroprosthesis operating in closed loop that targets the dor ...

Nature Portfolio2023

Post-stroke reorganization of transient brain activity characterizes deficits and of functions

Dimitri Nestor Alice Van De Ville, Nawal Noëlle Kinany, Elvira Pirondini

Functional magnetic resonance imaging (fMRI) has been widely employed to study stroke pathophysiology. In particular, analyses of fMRI signals at rest were directed at quantifying the impact of stroke on spatial features of brain networks. However, brain n ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2022

Soft Printable Electrode Coating for Neural Interfaces

Florian Dylan Fallegger, Elvira Pirondini, Stéphanie Lacour, Arnaud Bichat, Grégoire Courtine, Quentin Barraud, Michael Shur

The mechanical mismatch between implantable interfaces and neural tissues may be reduced by employing soft polymeric materials. Here, we report on a simple strategy to prepare and pattern a soft electrode coating of neural interfacing devices based on a sc ...

2020

A multimodal approach to capture post-stroke temporal dynamics of recovery

Dimitri Nestor Alice Van De Ville, Jenifer Cléa Miehlbradt, Nawal Noëlle Kinany, Elvira Pirondini, Silvestro Micera, Martina Coscia, Christian Giang, Camilla Pierella

Objective.Several training programs have been developed in the past to restore motor functions after stroke. Their efficacy strongly relies on the possibility to assess individual levels of impairment and recovery rate. However, commonly used clinical scal ...

2020

Resting-state EEG topographies: Reliable and sensitive signatures of unilateral spatial neglect

Dimitri Nestor Alice Van De Ville, Elvira Pirondini

Theoretical advances in the neurosciences are leading to the development of an increasing number of proposed interventions for the enhancement of functional recovery after brain damage. Integration of these novel approaches in clinical practice depends on ...

2020

Motor improvement estimation and task adaptation for personalized robot-aided therapy: a feasibility study

Jenifer Cléa Miehlbradt, Nawal Noëlle Kinany, Elvira Pirondini, Silvestro Micera, Martina Coscia, Christian Giang, Camilla Pierella

Background In the past years, robotic systems have become increasingly popular in upper limb rehabilitation. Nevertheless, clinical studies have so far not been able to confirm superior efficacy of robotic therapy over conventional methods. The personaliza ...

2020

Functional imaging of rostrocaudal spinal activity during upper limb motor tasks

Dimitri Nestor Alice Van De Ville, Roberto Martuzzi, Nawal Noëlle Kinany, Elvira Pirondini, Silvestro Micera

The spinal cord is the main interface between the brain and the periphery. It notably plays a central role in motor control, as spinal motoneurons activate skeletal muscles involved in voluntary movements. Yet, the spinal mechanisms underlying human moveme ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2019

System for personalized robotic therapy and related methods

Nawal Noëlle Kinany, Elvira Pirondini, Silvestro Micera, Christian Giang, Camilla Pierella

The present invention provides an apparatus and a method able to estimate motor improvement in real-time during three-dimensional rehabilitation tasks and to consequently dynamically personalize the therapy.The method can be carried out by a computer progr ...

2019

How are Muscle Synergies Affected by Electromyography Pre-Processing?

Elvira Pirondini, Silvestro Micera, Martina Coscia, Fiorenzo Artoni

2018

Computationally Efficient Algorithms for Sparse, Dynamic Solutions to the EEG Source Localization Problem

Elvira Pirondini

2018

Targeted neurotechnology restores walking in humans with spinal cord injury

Vincent Delattre, Camille Georgette Marie Le Goff-Mignardot, Salif Axel Komi, Elvira Pirondini, Roman Heimgartner, Grégoire Courtine, Miroslav Caban, Joachim von Zitzewitz, Marco Capogrosso, Jean-Baptiste Mignardot, Fabien Bertrand Paul Wagner, Robin Jonathan Demesmaeker, Andreas Rowald, Karen Minassian, Esra Neufeld, Jocelyne Bloch, Ismael Seanez Gonzalez, Hendrik Lambert, Anne Marie Lucienne Watrin, Perrine Seguin, Laura Ann McCracken, Molywan Vat, Edoardo Paoles

2018

Motor Intention Decoding During Active and Robot-Assisted Reaching

Elvira Pirondini, Silvestro Micera, Martina Coscia, Fiorenzo Artoni, Camilla Pierella, Aldo Pastore

2018

Brain imaging of locomotion in neurological conditions

Dimitri Nestor Alice Van De Ville, Elvira Pirondini

Impaired locomotion is a frequent and major source of disability in patients with neurological conditions. Different neuroimaging methods have been used to understand the brain substrates of locomotion in various neurological diseases (mainly in Parkinson' ...

ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER2018

EEG topographies provide subject-specific correlates of motor control

José del Rocio Millán Ruiz, Dimitri Nestor Alice Van De Ville, Elvira Pirondini, Silvestro Micera, Martina Coscia, Jesús Minguillón Campos

Electroencephalography (EEG) of brain activity can be represented in terms of dynamically changing topographies (microstates). Notably, spontaneous brain activity recorded at rest can be characterized by four distinctive topographies. Despite their well-es ...

Nature Research2017

A multimodal framework for the design and the assessment of robotic-assisted treatments for motor disorders

Elvira Pirondini

Robotic devices represent an undeniable alternative method to traditional therapy. However, the clinical use of robot-assisted rehabilitation for patients with hemiplegia after stroke has been restricted for decades by i) limited functional characterisatio ...

EPFL2017

EMG-based decoding of grasp gestures in reaching-to-grasping motions

Aude Billard, Elvira Pirondini, Sahar El Khoury, Silvestro Micera, Martina Coscia, Iason Batzianoulis

Predicting the grasping function during reach-to-grasp motions is essential for controlling a prosthetic hand or a robotic assistive device. An early accurate prediction increases the usability and the comfort of a prosthetic device. This work proposes an ...

Elsevier2017

A Spectral Method for Generating Surrogate Graph Signals

Dimitri Nestor Alice Van De Ville, Elvira Pirondini, Anna Vybornova, Martina Coscia

The increasing availability of network data is leading to a growing interest in processing of signals on graphs. One notable tool for extending conventional signal-processing operations to networks is the graph Fourier transform that can be obtained as the ...

IEEE Institute of Electrical and Electronics Engineers2016

Evaluation of the effects of the Arm Light Exoskeleton on movement execution and muscle activities: a pilot study on healthy subjects

Massimo Bergamasco, Elvira Pirondini, Silvestro Micera, Martina Coscia

Background: Exoskeletons for lower and upper extremities have been introduced in neurorehabilitation because they can guide the patient's limb following its anatomy, covering many degrees of freedom and most of its natural workspace, and allowing the contr ...

BioMed Central2016