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NeuroN SIGNED

Neurophysiological Biomarkers of Cortical Plasticity Induced by Neuromodulation

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EC-Contrib. €

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Project "NeuroN" data sheet

The following table provides information about the project.

Coordinator
IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE 

Organization address
address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
city: LONDON
postcode: SW7 2AZ
website: http://www.imperial.ac.uk/

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website https://sites.google.com/view/h2020-msca-neuron/home
 Total cost 159˙461 €
 EC max contribution 159˙460 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2015
 Duration (year-month-day) from 2015-10-01   to  2017-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE UK (LONDON) coordinator 79˙730.00
2    UNIVERSITAETSMEDIZIN GOETTINGEN - GEORG-AUGUST-UNIVERSITAET GOETTINGEN - STIFTUNG OEFFENTLICHEN RECHTS DE (GOETTINGEN) participant 79˙730.00

Map

 Project objective

One of the major issues when dealing with therapies for the rehabilitation of the lower limbs in stroke survivors is the in-deep assessment of their effectiveness and the lack of biomarkers for motor recovery. The motor functionality after therapy is evaluated only through clinical tests and scales which do not give information on the effective muscle state and the changes at the corticospinal level. The aim of restoring the motor functions has moved much of the attention of clinicians and researcher towards the use of the combination of brain stimulation techniques for the assessment of cortical excitability and Brain-Computer Interfaces (BCI) for the control of rehabilitation devices. This intervention induces cortical plasticity and reactivates the closed-loop pathway between the impaired cortical tract and the limb by using the cortical command to drive the device for the generation of the afferent volley. However, nothing is known about the changes of the neurophysiological correlates and how these influence the effective recovery of motor functions. NeuroN represents the first systematic attempt to investigate the neurophysiological correlates of changes in the excitability of the cortical areas responsible for ankle dorsiflexion in chronic hemiparetic stroke survivors with drop foot impairment and to identify novel biomarkers of motor recovery. NeuroN aims at filling the gap of knowledge on the functional effects of increased plasticity in chronic stroke survivors by integrating a BCI robot-based platform with the high-density surface electromyographic (HD-sEMG) recordings. The information coming from the decomposition of HD-sEMG signals give insight into the behavior of the motoneurons in the spinal cord and on the effective control command. NeuroN is expected to address one of the most intriguing issues in the neurorehabilitation field: the novel biomarkers developed will help in shaping new therapies for the recovery of motor function of stroke patients.

 Publications

year authors and title journal last update
List of publications.
2016 Francesco Negro, Silvia Muceli, Anna Margherita Castronovo, Ales Holobar, Dario Farina
Multi-channel intramuscular and surface EMG decomposition by convolutive blind source separation
published pages: 26027, ISSN: 1741-2560, DOI: 10.1088/1741-2560/13/2/026027
Journal of Neural Engineering 13/2 2019-06-18
2017 Dario Farina, Anna Margherita Castronovo, Ivan Vujaklija, Agnes Sturma, Stefan Salminger, Christian Hofer, Oskar Aszmann
Common Synaptic Input to Motor Neurons and Neural Drive to Targeted Reinnervated Muscles
published pages: 11285-11292, ISSN: 0270-6474, DOI: 10.1523/JNEUROSCI.1179-17.2017
The Journal of Neuroscience 37/46 2019-06-18
2017 Margherita Castronovo; N. Mrachacz-Kersting; F. Landi; HR. Jørgensen; K. Severinsen; D. Farina
Motor Unit Coherence at Low Frequencies Increases Together with Cortical Excitability Following a Brain-Computer Interface Intervention in Acute Stroke Patients
published pages: , ISSN: , DOI: 10.1007/978-3-319-46669-9_162
Converging Clinical and Engineering Research on Neurorehabilitation II/ Biosystems & Biorobotics Vol 15 2019-06-18

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