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ConscBreathDynamics SIGNED

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

Total Cost €

0

EC-Contrib. €

0

Partnership

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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.

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

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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The information about "CONSCBREATHDYNAMICS" are provided by the European Opendata Portal: CORDIS opendata.

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