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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.

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

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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