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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.

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

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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