Opendata, web and dolomites

MWMI

Mesoscopic characterization of human white-matter: a computational in-vivo MRI framework

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 MWMI project word cloud

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

detect    300    white    diffusion    fiber    unbiased    unprecedented    imaging    integration    diameter    circuit    sub    quantitative    standard    mesoscopic    vivo    metrics    first    learning    qmri    physically    spinal    structure    micro    resolution    resonance    reorganization    disciplinary    microstructural    iron    spatial    correlated    myelin    sectional    ratio    speed    correction    feasibility    mri    models    surrogate    sense    water    estimating    whereas    anatomical    computational    habituation    myelination    posed    pain    cord    origin    mu    outer    inner    combine    longitudinal    nociceptive    artifact    techniques    concentration    voxel    conventional    partial    mwmi    ill    relaxometry    fundamental    unlike    methodological    proton    accuracy    tensor    mechanism    magnetization    volume    restriction    informed    transfer    leads    density    biophysical    innovations    magnetic    quality    inter    technique    maps    axonal    performed    model    mechanisms    conductance   

Project "MWMI" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITAETSKLINIKUM HAMBURG-EPPENDORF 

Organization address
address: Martinistrasse 52
city: HAMBURG
postcode: 20251
website: www.uke.uni-hamburg.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]
 Project website https://goo.gl/zsVcgP
 Total cost 171˙460 €
 EC max contribution 171˙460 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2015
 Duration (year-month-day) from 2015-12-01   to  2017-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITAETSKLINIKUM HAMBURG-EPPENDORF DE (HAMBURG) coordinator 171˙460.00

Map

 Project objective

The goal of this highly multi-disciplinary and inter-sectional proposal is to develop a novel computational in-vivo MRI technique, namely Mesoscopic White-Matter magnetic resonance Imaging (MWMI). MWMI will measure 5 specific micro-scale metrics at a mesoscopic spatial resolution of about 300 μm: myelin, iron, water concentration, axonal density, and the ratio between inner and outer fiber diameter (g-ratio) - a surrogate measure for its conductance speed. Conventional quantitative MRI (qMRI), such as Diffusion Tensor Imaging, can detect but not determine the origin of microstructural changes, whereas MWMI will both detect microstructural changes and identify their origin (e.g. whether learning leads to axonal reorganization or myelination). To facilitate MWMI, 3 major methodological innovations will be developed: (a) Advanced biophysical models: Unlike existing biophysical models (e.g. axonal diameter model), which are ill posed due to the restriction to one qMRI mechanism, MWMI will combine 4 different qMRI mechanisms (relaxometry, diffusion MRI, magnetization transfer, and proton density imaging) to better condition its models. (b) Spatial integration: Novel physically-informed artifact correction methods will allow spatial integration of high-quality maps from 4 different qMRI techniques with sub-voxel accuracy. (c) Mesoscopic resolution: Unlike standard biophysical models and qMRI, the unprecedented resolution of MWMI will allow estimating micro-scale metrics within the white matter that are unbiased by partial volume effects. The pain circuit, which is a fundamental and well-described sense, will be used to demonstrate the feasibility of MWMI. Longitudinal MWMI be performed to measure micro-scale correlated of nociceptive long-term habituation in the spinal cord, the first and crucial anatomical structure associated with pain.

 Publications

year authors and title journal last update
List of publications.
2016 Patrick Freund, Karl Friston, Alan J. Thompson, Klaas E. Stephan, John Ashburner, Dominik R. Bach, Zoltan Nagy, Gunther Helms, Bogdan Draganski, Siawoosh Mohammadi, Martin E. Schwab, Armin Curt, Nikolaus Weiskopf
Embodied neurology: an integrative framework for neurological disorders
published pages: 1855-1861, ISSN: 0006-8950, DOI: 10.1093/brain/aww076
Brain 139/6 2019-06-14
2017 Peter Smittenaar, Zeb Kurth-Nelson, Siawoosh Mohammadi, Nikolaus Weiskopf, Raymond J. Dolan
Local striatal reward signals can be predicted from corticostriatal connectivity
published pages: 9-17, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2017.07.042
NeuroImage 159 2019-06-14
2017 Luke J. Edwards, Kerrin J. Pine, Isabel Ellerbrock, Nikolaus Weiskopf, Siawoosh Mohammadi
NODDI-DTI: Estimating Neurite Orientation and Dispersion Parameters from a Diffusion Tensor in Healthy White Matter
published pages: , ISSN: 1662-453X, DOI: 10.3389/fnins.2017.00720
Frontiers in Neuroscience 11 2019-06-14
2017 Gergely David, Patrick Freund, Siawoosh Mohammadi
The efficiency of retrospective artifact correction methods in improving the statistical power of between-group differences in spinal cord DTI
published pages: 296-307, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2017.06.051
NeuroImage 158 2019-06-14

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "MWMI" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.3.2.)

ReproMech (2019)

The Molecular Mechanisms of Cell Fate Reprogramming in Vertebrate Eggs

Read More  

UQ4ORC (2020)

Uncertainty Quantification And Design Tools For Robust Organic Rankine Cycles

Read More  

MetEpiC (2020)

P53-dependent Metabolic and Epigenetic Reprogramming in Carcinogenesis

Read More