Opendata, web and dolomites


Multimodal, high-resolution modeling of the thalamus for neuroimaging studies: application to dyslexia

Total Cost €


EC-Contrib. €






Project "THALAMODEL" data sheet

The following table provides information about the project.


Organization address
address: PASEO MIKELETEGI 69 2
postcode: 20009

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 Spain [ES]
 Project website
 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


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 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.


year authors and title journal last update
List of publications.
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

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "THALAMODEL" 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 ( 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 "THALAMODEL" are provided by the European Opendata Portal: CORDIS opendata.

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

PNAIC (2018)

Positive and Negative Asymmetry in Intergroup Contact: Its Impact on Linguistic Forms of Communication and Physiological Responses

Read More  

QuanToPol (2020)

Quantum Topological Polaritonics

Read More  

MingleIFT (2020)

Multi-color and single-molecule fluorescence imaging of intraflagellar transport in the phasmid chemosensory cilia of C. Elegans

Read More