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ConscBreathDynamics SIGNED

Breathing dynamics in health and disease: how consciousness shape respiratory patterns

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 ConscBreathDynamics project word cloud

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

sectional    electrophysiology    indicate    elucidate    recovery    consciousness    functional    automated    cross    function    resonance    individuals    neuroscience    record    opportunity    classifier    physiological    tool    significance    influence    first    interplay    doc    clinical    respiratory    vegetative    respiration    24    vs    prognostic    diagnostic    detect    healthy    wakefulness    shape    combination    regulation    audition    imaging    patients    dynamics    occurring    awareness    magnetic    vision    perhaps    tracking    electroencephalogram    disorders    mechanisms    olfaction    mainly    plan    unresponsive    interaction    vigilance    hour    recording    trigger    underlying    mcs    intend    unconsciously    continues    fmri    fold    employing    conscious    simplicity    intricate    tools    human    breathing    last    model    paradigm    longitudinal    potentially    eeg    designed    basic    despite    multimodal    rare    fundamental    computational    neural    neuroimaging    consciously    deceptive    utilizing    relationship    mechanism    differentiating    vital    uws    syndrome    minimally    questions   

Project "ConscBreathDynamics" data sheet

The following table provides information about the project.

Coordinator
INSTITUT DU CERVEAU ET DE LA MOELLE EPINIERE 

Organization address
address: BOULEVARD DE L'HOPITAL 47
city: PARIS
postcode: 75013
website: http://icm-institute.org/

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 France [FR]
 Total cost 196˙707 €
 EC max contribution 196˙707 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2020
 Duration (year-month-day) from 2020-03-01   to  2022-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    INSTITUT DU CERVEAU ET DE LA MOELLE EPINIERE FR (PARIS) coordinator 196˙707.00

Map

 Project objective

Breathing is perhaps the most vital physiological function, and it is occurring mainly unconsciously. Yet, despite the deceptive simplicity of breathing, it is an intricate behaviour influence by conscious top-down control and vigilance state. How consciousness shape breathing? What are the neural mechanisms underlying conscious control of breathing? Can breathing dynamics indicate on conscious awareness? We aim to address these questions by employing basic and clinical neuroscience approaches in combination with electrophysiology, neuroimaging and advanced computational tools. Disorders of consciousness (DOC) including vegetative state (VS)/unresponsive wakefulness syndrome (UWS) and minimally conscious state (MCS) offer a unique model to investigate the relationship between consciousness and breathing, by providing a rare opportunity for cross-sectional and longitudinal tracking of breathing dynamics during recovery of consciousness. In the proposed research, we first aim to characterize the interaction between breathing and consciousness state. To do this we will record continues respiration during 24-hour from healthy individuals and DOC patients. Next, we intend to elucidate the neural mechanism underlying conscious regulation of breathing, by recording electroencephalogram (EEG) and functional resonance magnetic imaging (fMRI) activity during a multimodal (olfaction, audition and vision) paradigm designed to consciously and unconsciously trigger respiratory change. Last, we plan to investigate whether breathing dynamics can be used as a diagnostic and potentially prognostic tool to detect awareness in DOC patients, by developing an automated respiratory-based classifier differentiating between UWS and MCS patients. The significance of this study is two-fold; addressing fundamental questions in breathing regulation, and utilizing the interplay between basic physiological function and consciousness to better human condition.

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