THALAMODEL
Multimodal, high-resolution modeling of the thalamus for neuroimaging studies: application to dyslexia
Total Cost €
0EC-Contrib. €
0Partnership
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Project "THALAMODEL" data sheet
The following table provides information about the project.
| Coordinator |
BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGE
Organization address contact info |
| Coordinator Country | Spain [ES] |
| Project website | http://www.jeiglesias.com/thalamodel |
| Total cost | 170˙121 € |
| EC max contribution | 170˙121 € (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 2015-06-01 to 2017-05-31 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGE | ES (SAN SEBASTIAN) | coordinator | 170˙121.00 |
Map
Project objective
The thalamus is a brain structure that is responsible for important functions (e.g., sensory systems, sleep, the motor system, spoken language) which are distributed over its 12 nuclei . While recent advances in MRI technology have made it possible to image the thalamic nuclei in vivo, the lack of specific computational tools to analyze the images forces most research studies to either treat the thalamus as a single structure (limiting the spatial specificity of the analysis) or to rely on the excruciating process of manually labeling the data. Since very few sites currently possess the anatomical expertise and staffing resources to carry out studies based on manual delineations, the lack of tools to analyze MRI data of the thalamus is hampering progress in different branches of neuroscience.
Here we present an interdisciplinary project to build tools to automatically analyze the thalamic nuclei in MRI data. The tools will be based on a statistical atlas of the thalamus built upon ultra-high resolution MRI and histological data from autopsy samples. We will use the tools in a study of the relation between thalamus and dyslexia, where they promise to increase our understanding of the pathology by testing which nuclei are affected and to what extent. In addition, the tools will be distributed as part of the software package FreeSurfer, allowing its over 10,000 worldwide users to carry out cognitive neuroscience experiments at the nucleus level, and to discover new imaging biomarkers of other diseases related to the thalamus, e.g. Alzheimer's, Parkinson's, MS and ALS.
This project will allow the host to acquire knowledge in medical image analysis from the applicant and to establish collaborations with Harvard and Oxford (host of the proposed secondment). The project will also expand the applicant’s research network and train him in areas (ex vivo MRI, psycholinguistic studies) that complement his image analysis skills, preparing him for a future faculty position.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2016 |
Juan Eugenio Iglesias, Koen Van Leemput, Jean Augustinack, Ricardo Insausti, Bruce Fischl, Martin Reuter Bayesian longitudinal segmentation of hippocampal substructures in brain MRI using subject-specific atlases published pages: 542-555, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2016.07.020 |
NeuroImage 141 | 2019-07-23 |
| 2016 |
N F Ho, J E Iglesias, M Y Sum, C N Kuswanto, Y Y Sitoh, J De Souza, Z Hong, B Fischl, J L Roffman, J Zhou, K Sim, D J Holt Progression from selective to general involvement of hippocampal subfields in schizophrenia published pages: 142-152, ISSN: 1359-4184, DOI: 10.1038/mp.2016.4 |
Molecular Psychiatry 22/1 | 2019-07-23 |
| 2016 |
Christopher D. Whelan, Derrek P. Hibar, Laura S. van Velzen, Anthony S. Zannas, Tania Carrillo-Roa, Katie McMahon, Gautam Prasad, Sinéad Kelly, Joshua Faskowitz, Greig deZubiracay, Juan E. Iglesias, Theo G.M. van Erp, Thomas Frodl, Nicholas G. Martin, Margaret J. Wright, Neda Jahanshad, Lianne Schmaal, Philipp G. Sämann, Paul M. Thompson Heritability and reliability of automatically segmented human hippocampal formation subregions published pages: 125-137, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2015.12.039 |
NeuroImage 128 | 2019-07-23 |
| 2016 |
Oula Puonti, Juan Eugenio Iglesias, Koen Van Leemput Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling published pages: 235-249, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2016.09.011 |
NeuroImage 143 | 2019-07-23 |
| 2016 |
Garikoitz Lerma-Usabiaga, Juan Eugenio Iglesias, Ricardo Insausti, Douglas N. Greve, Pedro M. Paz-Alonso Automated segmentation of the human hippocampus along its longitudinal axis published pages: 3353-3367, ISSN: 1065-9471, DOI: 10.1002/hbm.23245 |
Human Brain Mapping 37/9 | 2019-07-23 |
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