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MWMI

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

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

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.

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

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 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.	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

List of publications.
year	authors and title	journal	last update
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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The information about "MWMI" are provided by the European Opendata Portal: CORDIS opendata.