Coordinatore | UNIVERSITAET BERN
Organization address
address: Hochschulstrasse 4 contact info |
Nazionalità Coordinatore | Switzerland [CH] |
Sito del progetto | http://www.nanoci.org |
Totale costo | 4˙914˙955 € |
EC contributo | 3˙599˙853 € |
Programma | FP7-NMP
Specific Programme "Cooperation": Nanosciences, Nanotechnologies, Materials and new Production Technologies |
Code Call | FP7-NMP-2011-SMALL-5 |
Funding Scheme | CP-FP |
Anno di inizio | 2012 |
Periodo (anno-mese-giorno) | 2012-09-01 - 2015-08-31 |
# | ||||
---|---|---|---|---|
1 |
UNIVERSITAET BERN
Organization address
address: Hochschulstrasse 4 contact info |
CH (BERN) | coordinator | 657˙756.00 |
2 |
HAUTE ECOLE SPECIALISEE DE SUISSE OCCIDENTALE
Organization address
address: RUE DE LA JEUNESSE 1 contact info |
CH (DELEMONT) | participant | 590˙902.00 |
3 |
EBERHARD KARLS UNIVERSITAET TUEBINGEN
Organization address
address: GESCHWISTER-SCHOLL-PLATZ contact info |
DE (TUEBINGEN) | participant | 539˙150.00 |
4 |
BAR ILAN UNIVERSITY
Organization address
address: BAR ILAN UNIVERSITY CAMPUS contact info |
IL (RAMAT GAN) | participant | 415˙068.00 |
5 |
TAMPEREEN YLIOPISTO
Organization address
address: Kalevantie 4 contact info |
FI (TAMPERE) | participant | 364˙800.00 |
6 |
MED-EL Elektromedizinische Geraete GmbH
Organization address
address: FUERSTENWEG 77a contact info |
AT (Innsbruck) | participant | 316˙233.00 |
7 |
UPPSALA UNIVERSITET
Organization address
address: SANKT OLOFSGATAN 10 B contact info |
SE (UPPSALA) | participant | 316˙044.00 |
8 |
EMC MICROCOLLECTIONS GMBH
Organization address
address: Sindelfinger Str. 3 contact info |
DE (TUEBINGEN) | participant | 278˙800.00 |
9 |
SCIPROM SARL
Organization address
address: RUE DU CENTRE 70 contact info |
CH (Saint-Sulpice) | participant | 121˙100.00 |
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
'Over 60 million of citizens in the EU suffer from hearing loss with its associated restrictions. In severe cases, hearing can only be restored by surgically implanting a neuroprosthesis called cochlear implant, which directly stimulates the auditory nerve. The bottleneck for optimal stimulation is caused by the anatomical gap between the electrode array and the auditory neurons in the inner ear. As a consequence, current devices are limited through (i) low frequency resolution, hence poor sound quality and (ii), strong signal amplification, hence high energy consumption responsible for significant battery costs and for impeding the development of fully implantable systems. Recent findings indicate that auditory nerve fibres can grow under neurotrophin stimulation towards the electrodes, which opens the door to address all issues simultaneously. NANOCI aims at developing a neuroprosthesis with a gapless interface to auditory nerve fibres. The neurites will be attracted and guided by an innovative, nanostructured gel matrix containing diffusible and surface-bound neurotrophic compounds towards the functionalized, neurotrophic electrode array surface. The long-lasting operation without interface degradation, reduced biofouling and improved conductivity will be achieved by nanostructuring the array surface using (i) various functional nanomaterials, including carbon nanotubes, combined with (ii) structuration methodologies such as ion implantation and sacrificial nanoparticle embedding in parylene, SOLID (solid on liquid deposition) encapsulation, and sonochemistry. Components will be validated using appropriate bioassays including human auditory neurons in vitro. In parallel, software models will be developed to exploit the bidirectional, gapless interface. Fusing all developments, an animal-grade, pilot nanoCI-device is manufactured and tested in vivo. This will allow to assess the feasibility of a future, cost-efficient, and fully implantable neuroprosthesis with substantially increased sound quality.'
In the majority of deaf patients, hearing can be restored by means of a cochlear implant (CI). Creating a seamless interface between the electrodes of the implant and auditory neurons will overcome the limitations of existing CI models.
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