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NGBMI SIGNED

Building Next-Generation Brain/Neural-Machine Interfaces For Restoration of Brain Functions

Total Cost €

0

EC-Contrib. €

0

Partnership

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 NGBMI project word cloud

Explore the words cloud of the NGBMI project. It provides you a very rough idea of what is the project "NGBMI" about.

techniques    modulation    wearable    nervous    vivo    computational    first    disorders    rate    al    wireless    artefacts    schizophrenia    stimulation    restoration    regarded    impaired    pioneering    interfaces    nmis    stroke    soekadar    immense    overcome    advancements    fluent    sensor    diseases    interaction    mind    magnetic    nmi    2016    inter    central    tes    treatment    extraction    exoskeleton    limitations    daily    loop    everyday    ngbmi    tested    electric    worldwide    environments    full    oscillations    ing    free    effect    serious    constraining    communications    nature    machines    translate    underlying    et    building    unfeasible    robotics    dynamic    quadriplegia    neural    individual    simultaneous    science    today    complexity    tms    brain    metabolic    dementia    direct    paradigm    time    options    human    persons    eeg    disability    ed    living    robots    life    signals    capacities    functions    ten    external    neuropsychiatric    2013    variability    depression    function    machine    limited    transcranial    unrelated   

Project "NGBMI" data sheet

The following table provides information about the project.

Coordinator
CHARITE - UNIVERSITAETSMEDIZIN BERLIN 

Organization address
address: Chariteplatz 1
city: BERLIN
postcode: 10117
website: www.charite.de

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 Germany [DE]
 Total cost 1˙498˙125 €
 EC max contribution 1˙498˙125 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-STG
 Funding Scheme ERC-STG
 Starting year 2018
 Duration (year-month-day) from 2018-11-01   to  2023-10-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CHARITE - UNIVERSITAETSMEDIZIN BERLIN DE (BERLIN) coordinator 1˙498˙125.00
2    EBERHARD KARLS UNIVERSITAET TUEBINGEN DE (TUEBINGEN) participant 0.00

Map

 Project objective

Today, five out of ten diseases worldwide resulting in long-term disability are related to the central nervous system. Due to the immense complexity and inter-individual variability of the human mind and brain there are still no effective and side effect free treatment options for many serious neuropsychiatric disorders, such as major depression, dementia or schizophrenia. Recent advancements in sensor technology and computational capacities resulted in the development of brain/neural-machine interfaces (B/NMIs) that translate electric, magnetic or metabolic brain activity into control signals of external devices, robots or machines. Moreover, novel transcranial magnetic and electric brain stimulation (TMS/TES) systems were developed allowing for direct modulation of brain activity. However, current B/NMIs are limited by the low information extraction rate constraining fluent direct brain-machine interaction. Furthermore, as simultaneous assessment of brain oscillations during TES was regarded unfeasible due to stimulation artefacts, current TES systems can only deliver “open-loop” stimulation unrelated to the underlying dynamic brain states resulting in highly variable TES effects. Building on the applicant’s previous work that includes pioneering work on in vivo assessment of brain oscillations during TES (Soekadar et al. 2013, Nature Communications) and full restoration of daily living activities after quadriplegia using a novel B/NMI hand exoskeleton (Soekadar et al. 2016, Science Robotics), the NGBMI project will overcome these limitations by merging both techniques. After developing the first real-time B/NMI-TES system allowing for effective modulation of brain functions and fluent direct brain-machine interaction, the system will be tested in persons with impaired brain function (e.g. depression, dementia or stroke). Finally, the B/NMI-TES paradigm will be implemented in a wireless and wearable EEG-based system that can be used in everyday life environments.

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The information about "NGBMI" are provided by the European Opendata Portal: CORDIS opendata.

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