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EuroPOND SIGNED

Data-driven models for Progression Of Neurological Disease

Total Cost €

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EC-Contrib. €

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Partnership

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 EuroPOND project word cloud

Explore the words cloud of the EuroPOND project. It provides you a very rough idea of what is the project "EuroPOND" about.

alone    century    epidemiological    diverse    risk    interactions    progression    treatments    biomedical    techniques    pathologies    software    neurological    differential    europond    focussed    clinical    reconstructing    biomarkers    societal    uniquely    balance    fine    source    deeper    phenotypes    framework    multidisciplinary    statistical    trials    models    overlap    diagnosis    stratification    pictures    alzheimer    expertise    productivity    symptoms    sporadic    prevents    inherent    cross    phenotyped    variety    holistic    personalized    positioning    suggests    mathematical    decisions    diseases    matches    putative    accuracy    computational    fail    medicine    types    complexity    tools    subgroups    longitudinal    leaders    data    temporal    modeling    sectional    markers    spirit    integrates    datasets    devise    generate    200b    rate    heterogeneity    patient    repeatedly    prognosis    disease    biggest    care    citizens    monitoring    bulk    comorbidity    evolution    healthcare    modifying    21st    world    treatment   

Project "EuroPOND" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY COLLEGE LONDON 

Organization address
address: GOWER STREET
city: LONDON
postcode: WC1E 6BT
website: n.a.

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 United Kingdom [UK]
 Project website http://europond.eu
 Total cost 5˙498˙612 €
 EC max contribution 4˙975˙862 € (90%)
 Programme 1. H2020-EU.3.1.1. (Understanding health, wellbeing and disease)
 Code Call H2020-PHC-2015-two-stage
 Funding Scheme RIA
 Starting year 2016
 Duration (year-month-day) from 2016-01-01   to  2020-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY COLLEGE LONDON UK (LONDON) coordinator 1˙645˙492.00
2    ERASMUS UNIVERSITAIR MEDISCH CENTRUM ROTTERDAM NL (ROTTERDAM) participant 790˙250.00
3    INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE FR (PARIS) participant 655˙016.00
4    ICOMETRIX NV BE (LEUVEN) participant 638˙625.00
5    STICHTING VUMC NL (AMSTERDAM) participant 486˙122.00
6    PROVINCIA LOMBARDO VENETA - ORDINEOSPEDALIERO DI SAN GIOVANNI DI DIO- FATEBENEFRATELLI IT (BRESCIA) participant 423˙050.00
7    FONDAZIONE IRCCS ISTITUTO NEUROLOGICO CARLO BESTA IT (MILANO) participant 337˙306.00
8    STICHTING VU NL (AMSTERDAM) participant 0.00
9    UNIVERSITE DE GENEVE CH (GENEVE) participant 0.00

Map

 Project objective

EuroPOND will develop a data-driven statistical and computational modeling framework for neurological disease progression. This will enable major advances in differential and personalized diagnosis, prognosis, monitoring, and treatment and care decisions, positioning Europe as world leaders in one of the biggest societal challenges of 21st century healthcare. The inherent complexity of neurological disease, the overlap of symptoms and pathologies, and the high comorbidity rate suggests a systems medicine approach, which matches the specific challenge of this call. We take a uniquely holistic approach that, in the spirit of systems medicine, integrates a variety of clinical and biomedical research data including risk factors, biomarkers, and interactions. Our consortium has a multidisciplinary balance of essential expertise in mathematical/statistical/computational modelling; clinical, biomedical and epidemiological expertise; and access to a diverse range of datasets for sporadic and well-phenotyped disease types. The project will devise and implement, as open-source software tools, advanced statistical and computational techniques for reconstructing long-term temporal evolution of disease markers from cross-sectional or short-term longitudinal data. We will apply the techniques to generate new and uniquely detailed pictures of a range of important diseases. This will support the development of new evidence-based treatments in Europe through deeper disease understanding, better patient stratification for clinical trials, and improved accuracy of diagnosis and prognosis. For example, Alzheimer’s disease alone costs European citizens around €200B every year in care and loss of productivity. No disease modifying treatments are yet available. Clinical trials repeatedly fail because disease heterogeneity prevents bulk response. Our models enable fine stratification into phenotypes enabling more focussed analysis to identify subgroups that respond to putative treatments.

 Deliverables

List of deliverables.
Open source software tool Websites, patent fillings, videos etc. 2020-01-28 10:04:35
Paper: basic models of ageing Websites, patent fillings, videos etc. 2020-01-28 10:04:35
Paper: enhanced models Websites, patent fillings, videos etc. 2020-01-28 10:04:34
Paper: network propagation models Websites, patent fillings, videos etc. 2020-01-28 10:04:34
Website and Mailing List Websites, patent fillings, videos etc. 2020-01-28 10:04:34
Paper: simulation framework Websites, patent fillings, videos etc. 2020-01-28 10:04:34
Paper: Bayesian spatio-temporal models Websites, patent fillings, videos etc. 2020-01-28 10:04:34
Paper: Bayesian scalar trajectory models Websites, patent fillings, videos etc. 2020-01-28 10:04:34
Paper: unified modelling framework Websites, patent fillings, videos etc. 2020-01-28 10:04:34
Paper: refined EBM Websites, patent fillings, videos etc. 2020-01-28 10:04:34

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

 Publications

year authors and title journal last update
List of publications.
2019 Elisabeth J. Vinke, Wyke Huizinga, Martin Bergtholdt, Hieab H. Adams, Rebecca M.E. Steketee, Janne M. Papma, Frank J. de Jong, Wiro J. Niessen, M. Arfan Ikram, Fabian Wenzel, Meike W. Vernooij
Normative brain volumetry derived from different reference populations: impact on single-subject diagnostic assessment in dementia
published pages: 9-16, ISSN: 0197-4580, DOI: 10.1016/j.neurobiolaging.2019.07.008
Neurobiology of Aging 84 2020-02-19
2020 Lotte G. M. Cremers, Wyke Huizinga, Wiro J. Niessen, Gabriel P. Krestin, Dirk H. J. Poot, M. Arfan Ikram, Jyrki Lötjönen, Stefan Klein, Meike W. Vernooij
Predicting Global Cognitive Decline in the General Population Using the Disease State Index
published pages: , ISSN: 1663-4365, DOI: 10.3389/fnagi.2019.00379
Frontiers in Aging Neuroscience 11 2020-02-19
2019 Alexandre Bône, Olivier Colliot, Stanley Durrleman
Learning the spatiotemporal variability in longitudinal shape data sets
published pages: , ISSN: , DOI:
2020-02-19
2019 Alexandre Bône, Olivier Colliot, Stanley Durrleman
Auto-encoding meshes of any topology with the current-splatting and exponentiation layers
published pages: , ISSN: , DOI:
2020-02-19
2019 Igor Koval, Stéphanie Allassonnière, Stanley Durrleman
Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects
published pages: , ISSN: , DOI:
2020-02-19
2019 Manon Ansart, Stéphane Epelbaum, Giulia Bassignana, Alexandre Bône, Simona Bottani, Tiziana Cattai, Raphael Couronne, Johann Faouzi, Igor Koval, Maxime Louis, et al.
Predicting the Progression of Mild Cognitive Impairment Using Machine Learning: A Systematic andQuantitative Review
published pages: , ISSN: , DOI:
2020-02-19
2019 Sara Garbarino, Marco Lorenzi, Neil P Oxtoby, Elisabeth J Vinke, Razvan V Marinescu, Arman Eshaghi, M Arfan Ikram, Wiro J Niessen, Olga Ciccarelli, Frederik Barkhof, Jonathan M Schott, Meike W Vernooij, Daniel C Alexander
Differences in topological progression profile among neurodegenerative diseases from imaging data
published pages: , ISSN: 2050-084X, DOI: 10.7554/elife.49298
eLife 8 2020-02-19
2019 Alexandre Bône, Benoît Martin, Maxime Louis, Olivier Colliot, Stanley Durrleman
Hierarchical modeling of Alzheimer’s disease progression from a large longitudinal MRI data set
published pages: , ISSN: , DOI:
2020-02-19
2019 Lara Lordier, Djalel-Eddine Meskaldji, Frédéric Grouiller, Marie P. Pittet, Andreas Vollenweider, Lana Vasung, Cristina Borradori-Tolsa, François Lazeyras, Didier Grandjean, Dimitri Van De Ville, Petra S. Hüppi
Music in premature infants enhances high-level cognitive brain networks
published pages: 201817536, ISSN: 0027-8424, DOI: 10.1073/pnas.1817536116
Proceedings of the National Academy of Sciences 2020-02-19
2019 Damiano Archetti, Silvia Ingala, Vikram Venkatraghavan, Viktor Wottschel, Alexandra L. Young, Maura Bellio, Esther E. Bron, Stefan Klein, Frederik Barkhof, Daniel C. Alexander, Neil P. Oxtoby, Giovanni B. Frisoni, Alberto Redolfi
Multi-study validation of data-driven disease progression models to characterize evolution of biomarkers in Alzheimer\'s disease
published pages: 101954, ISSN: 2213-1582, DOI: 10.1016/j.nicl.2019.101954
NeuroImage: Clinical 24 2020-02-19
2019 Viktor Wottschel, Declan T. Chard, Christian Enzinger, Massimo Filippi, Jette L. Frederiksen, Claudio Gasperini, Antonio Giorgio, Maria A. Rocca, Alex Rovira, Nicola De Stefano, Mar Tintoré, Daniel C. Alexander, Frederik Barkhof, Olga Ciccarelli
SVM recursive feature elimination analyses of structural brain MRI predicts near-term relapses in patients with clinically isolated syndromes suggestive of multiple sclerosis
published pages: 102011, ISSN: 2213-1582, DOI: 10.1016/j.nicl.2019.102011
NeuroImage: Clinical 24 2020-02-19
2018 Meike W. Vernooij, Bas Jasperse, Rebecca Steketee, Marcel Koek, Henri Vrooman, M. Arfan Ikram, Janne Papma, Aad van der Lugt, Marion Smits, Wiro J. Niessen
Automatic normative quantification of brain tissue volume to support the diagnosis of dementia: A clinical evaluation of diagnostic accuracy
published pages: 374-379, ISSN: 2213-1582, DOI: 10.1016/j.nicl.2018.08.004
NeuroImage: Clinical 20 2020-01-28
2018 Anne Bertrand, Junhao Wen, Daisy Rinaldi, Marion Houot, Sabrina Sayah, Agnès Camuzat, Clémence Fournier, Sabrina Fontanella, Alexandre Routier, Philippe Couratier, Florence Pasquier, Marie-Odile Habert, Didier Hannequin, Olivier Martinaud, Paola Caroppo, Richard Levy, Bruno Dubois, Alexis Brice, Stanley Durrleman, Olivier Colliot, Isabelle Le Ber
Early Cognitive, Structural, and Microstructural Changes in Presymptomatic C9orf72 Carriers Younger Than 40 Years
published pages: 236, ISSN: 2168-6149, DOI: 10.1001/jamaneurol.2017.4266
JAMA Neurology 75/2 2020-01-28
2018 Jorge Samper-González, Ninon Burgos, Simona Bottani, Sabrina Fontanella, Pascal Lu, Arnaud Marcoux, Alexandre Routier, Jérémy Guillon, Michael Bacci, Junhao Wen, Anne Bertrand, Hugo Bertin, Marie-Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot
Reproducible evaluation of classification methods in Alzheimer\'s disease: Framework and application to MRI and PET data
published pages: 504-521, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2018.08.042
NeuroImage 183 2020-01-28
2019 Marco Lorenzi, Maurizio Filippone, Giovanni B. Frisoni, Daniel C. Alexander, Sebastien Ourselin
Probabilistic disease progression modeling to characterize diagnostic uncertainty: Application to staging and prediction in Alzheimer\'s disease
published pages: 56-68, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2017.08.059
NeuroImage 190 2020-01-28
2019 Vikram Venkatraghavan, Esther E. Bron, Wiro J. Niessen, Stefan Klein
Disease progression timeline estimation for Alzheimer\'s disease using discriminative event based modeling
published pages: 518-532, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2018.11.024
NeuroImage 186 2020-01-28
2018 Igor Koval, Alexandre Bône, Maxime Louis, Simona Bottani, Arnaud Marcoux, Jorge Samper-Gonzalez, Ninon Burgos, Benjamin Charlier, Anne Bertrand, Stéphane Epelbaum, Olivier Colliot, Stéphanie Allassonnière, Stanley Durrleman
Simulating Alzheimer\'s disease progression with personalised digital brain models
published pages: , ISSN: , DOI:
2020-01-28
2019 Răzvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Sebastian J. Crutch, Daniel C. Alexander
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders
published pages: 166-177, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2019.02.053
NeuroImage 192 2020-01-28
2019 L. Gui, S. Loukas, F. Lazeyras, P.S. Hüppi, D.E. Meskaldji, C. Borradori Tolsa
Longitudinal study of neonatal brain tissue volumes in preterm infants and their ability to predict neurodevelopmental outcome
published pages: 728-741, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2018.06.034
NeuroImage 185 2020-01-28
2019 Vikram Venkatraghavan, Esther E. Bron, Wiro J. Niessen, Stefan Klein
Disease progression timeline estimation for Alzheimer\'s disease using discriminative event based modeling
published pages: 518-532, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2018.11.024
NeuroImage 186 2020-01-28
2018 W. Huizinga, D.H.J. Poot, M.W. Vernooij, G.V. Roshchupkin, E.E. Bron, M.A. Ikram, D. Rueckert, W.J. Niessen, S. Klein
A spatio-temporal reference model of the aging brain
published pages: 11-22, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2017.10.040
NeuroImage 169 2020-01-28
2018 Elisabeth J. Vinke, Marius de Groot, Vikram Venkatraghavan, Stefan Klein, Wiro J. Niessen, M. Arfan Ikram, Meike W. Vernooij
Trajectories of imaging markers in brain aging: the Rotterdam Study
published pages: 32-40, ISSN: 0197-4580, DOI: 10.1016/j.neurobiolaging.2018.07.001
Neurobiology of Aging 71 2020-01-28
2018 Arman Eshaghi, Razvan V Marinescu, Alexandra L Young, Nicholas C Firth, Ferran Prados, M Jorge Cardoso, Carmen Tur, Floriana De Angelis, Niamh Cawley, Wallace J Brownlee, Nicola De Stefano, M Laura Stromillo, Marco Battaglini, Serena Ruggieri, Claudio Gasperini, Massimo Filippi, Maria A Rocca, Alex Rovira, Jaume Sastre-Garriga, Jeroen J G Geurts, Hugo Vrenken, Viktor Wottschel, Cyra E Leurs, Bernard Uitdehaag, Lukas Pirpamer, Christian Enzinger, Sebastien Ourselin, Claudia A Gandini Wheeler-Kingshott, Declan Chard, Alan J Thompson, Frederik Barkhof, Daniel C Alexander, Olga Ciccarelli
Progression of regional grey matter atrophy in multiple sclerosis
published pages: 1665-1677, ISSN: 0006-8950, DOI: 10.1093/brain/awy088
Brain 141/6 2020-01-28
2017 Marco Lorenzi, Maurizio Filippone, Giovanni B. Frisoni, Daniel C. Alexander, Sebastien Ourselin
Probabilistic disease progression modeling to characterize diagnostic uncertainty: Application to staging and prediction in Alzheimer\'s disease
published pages: , ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2017.08.059
NeuroImage 2020-01-28
2018 Igor Koval, Jean-Baptiste Schiratti, Alexandre Routier, Michael Bacci, Olivier Colliot, Stéphanie Allassonnière, Stanley Durrleman
Spatiotemporal Propagation of the Cortical Atrophy: Population and Individual Patterns
published pages: , ISSN: 1664-2295, DOI: 10.3389/fneur.2018.00235
Frontiers in Neurology 9 2020-01-28

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

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