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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

0

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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.

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

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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