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NeuroLang SIGNED

Accelerating Neuroscience Research by Unifying Knowledge Representation and Analysis Through a Domain Specific Language

Total Cost €

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EC-Contrib. €

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Partnership

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Project "NeuroLang" data sheet

The following table provides information about the project.

Coordinator
INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE 

Organization address
address: DOMAINE DE VOLUCEAU ROCQUENCOURT
city: LE CHESNAY CEDEX
postcode: 78153
website: www.inria.fr

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 France [FR]
 Total cost 1˙497˙045 €
 EC max contribution 1˙497˙045 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-STG
 Funding Scheme ERC-STG
 Starting year 2018
 Duration (year-month-day) from 2018-03-01   to  2023-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE FR (LE CHESNAY CEDEX) coordinator 1˙497˙045.00

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 Project objective

Neuroscience is at an inflection point. The 150-year old cortical specialization paradigm, in which cortical brain areas have a distinct set of functions, is experiencing an unprecedented momentum with over 1000 articles being published every year. However, this paradigm is reaching its limits. Recent studies show that current approaches to atlas brain areas, like relative location, cellular population type, or connectivity, are not enough on their own to characterize a cortical area and its function unequivocally. This hinders the reproducibility and advancement of neuroscience.

Neuroscience is thus in dire need of a universal standard to specify neuroanatomy and function: a novel formal language allowing neuroscientists to simultaneously specify tissue characteristics, relative location, known function and connectional topology for the unequivocal identification of a given brain region.

The vision of NeuroLang is that a unified formal language for neuroanatomy will boost our understanding of the brain. By defining brain regions, networks, and cognitive tasks through a set of formal criteria, researchers will be able to synthesize and integrate data within and across diverse studies. NeuroLang will accelerate the development of neuroscience by providing a way to evaluate anatomical specificity, test current theories, and develop new hypotheses.

NeuroLang will lead to a new generation of computational tools for neuroscience research. In doing so, we will be shedding a novel light onto neurological research and possibly disease treatment and palliative care. Our project complements current developments in large multimodal studies across different databases. This project will bring the power of Domain Specific Languages to neuroscience research, driving the field towards a new paradigm articulating classical neuroanatomy with current statistical and machine learning-based approaches.

 Deliverables

List of deliverables.
Data Management Plan Open Research Data Pilot 2019-03-20 15:37:00

Take a look to the deliverables list in detail:  detailed list of NeuroLang deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Antonia Machlouzarides-Shalit, Valentin Iovene, Nikos Makris, Demian Wassermann
A Novel Sulcal Hierarchy Based on Manually Labelled Sulci
published pages: , ISSN: , DOI:
Organization for Human Brain Mapping Yearly 2019-11-08
2019 Lang Chen, Demian Wassermann , Daniel Abrams , John Kochalka , Guillermo Gallardo-Diez , Vinod Menon
The visual word form area (VWFA) is part of both language and attention circuitry
published pages: , ISSN: 2041-1723, DOI:
Nature Communications 2019-11-08
2019 Wassermann , Demian; Nguyen , Dang Van; Gallardo , Guillermo; Li , Jing-Rebecca; Cai , Weidong; Menon , Vinod
Sensing Von Economo Neurons in the Insula with Multi-shell Diffusion MRI
published pages: , ISSN: , DOI:
International Society for Magnetic Resonance in Medicine 1 2019-11-08
2019 Vinod Menon, Gallardo Guillermo, Mark A. Pinsk, Van-Dang Nguyen, Jing-Rebecca Li, Weidong Cai, Demian Wassermann
Quantitative modeling links in vivo microstructural and macrofunctional organization of human and macaque insular cortex, and predicts cognitive control abilities
published pages: , ISSN: , DOI: 10.1101/662601
2019-11-08
2018 Valerie J. Sydnor, Ana María Rivas-Grajales, Amanda E. Lyall, Fan Zhang, Sylvain Bouix, Sarina Karmacharya, Martha E. Shenton, Carl-Fredrik Westin, Nikos Makris, Demian Wassermann, Lauren J. O\'Donnell, Marek Kubicki
A comparison of three fiber tract delineation methods and their impact on white matter analysis
published pages: 318-331, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2018.05.044
NeuroImage 178 2019-04-18

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The information about "NEUROLANG" are provided by the European Opendata Portal: CORDIS opendata.

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