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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.

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

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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