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MWMI

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

Total Cost €

0

EC-Contrib. €

0

Partnership

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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.

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

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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