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MWMI

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

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 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.

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

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

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