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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.

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

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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