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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.

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

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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