CATI: A Large Distributed Infrastructure for the Neuroimaging of

Loading...

CATI: A Large Distributed Infrastructure for the Neuroimaging of Cohorts Neuroinformatics July 2016, Volume 14, Issue 3, pp 253–264 | Cite as Grégory Operto (1) (2) (3) Email author ([email protected]) Marie Chupin (1) (3) (4) Bénédicte Batrancourt (1) (3) (5) Marie-Odile Habert (1) (6) (7) Olivier Colliot (1) (3) (4) Habib Benali (1) (7) Cyril Poupon (1) (2) Catherine Champseix (1) (2) (3) Christine Delmaire (1) (9) Sullivan Marie (1) (6) (7) Denis Rivière (1) (2) Mélanie Pélégrini-Issac (1) (7) Vincent Perlbarg (1) (7) (8) Régine Trebossen (1) (2) (5) (10) Michel Bottlaender (1) (2) (10) Vincent Frouin (2) Antoine Grigis (2) Dimitri Papadopoulos Orfanos (2) Hugo Dary (1) (3) (4) Ludovic Fillon (1) (3) (4) Chabha Azouani (1) (3) (4) Ali Bouyahia (1) (3) (4) Clara Fischer (1) (2) (3) Lydie Edward (1) (3) Mathilde Bouin (1) (2) (3) Urielle Thoprakarn (1) (2) (3) Jinpeng Li (1) (2) (5) Leila Makkaoui (1) (2) Sylvain Poret (1) (3) (11) Carole Dufouil (12) Vincent Bouteloup (13) Gaël Chételat (1) (14) Bruno Dubois (1) (3) (11) Stéphane Lehéricy (1) (3) (15) Jean-François Mangin (1) (2) Yann Cointepas (1) (2) (5) and the CATI Consortium 1. Centre pour l’Acquisition et le Traitement des Images, http://www.cati-neuroimaging.com 2. NeuroSpin, I2BM, Commissariat à l’Energie Atomique, Saclay, France 3. INSERM U1127, CNRS UMR 7225, Sorbonne Universités, UPMC Univ Paris 06 UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France 4. INRIA Paris-Rocquencourt, Paris, France 5. Information Analysis and Management project of France Life Imaging, http://project.inria.fr/fli 6. Nuclear Medicine Department, Pitié-Salpêtrière University Hospital, AP-HP, Paris, France 7. Laboratoire d’Imagerie Biomédicale, Sorbonne Universités, UPMC Univ Paris 06, Inserm U 1146, CNRS UMR 7371, Paris, France 8. IHU-A-ICM, Bioinformatics/Biostatistics Platform, Paris, France 9. U1171 - Département de Neuroradiologie, Centre Hospitalier Régional Universitaire de Lille, Université Lille Nord de France, Lille, France 10. Commissariat à l’Energie Atomique, Service Hospitalier Frédéric Joliot, I2BM, Orsay, France 11. Département de Neurologie, Hôpital de la Pitié-Salpêtrière, AP-HP, Institut de la Mémoire et de la Maladie d’Alzheimer (IM2A), Paris, France 12. INSERM U708, Neuroepidemiology, CIC-EC7 & Bordeaux University, Bordeaux, France 13. INSERM U897, Clinical Investigation Center-Clinical Epidemiology-CIC-1401, Epidemiology and Biostatistics Center, Bordeaux School of Public Health, Bordeaux University, Bordeaux, France 14. Ecole Pratique des Hautes Etudes, CHU de Caen, INSERM U1077 - Université de Caen Basse-Normandie, UMR-S1077, Caen, France 15. Centre de NeuroImagerie de Recherche — CENIR, Département de Neuroradiologie, Hôpital de la Pitié-Salpêtrière, AP-HP, Paris, France Review First Online: 12 April 2016 1 Shares 506 Downloads 3 Citations

Abstract This paper provides an overview of CATI, a platform dedicated to multicenter neuroimaging. Initiated by the French Alzheimer’s plan (2008–2012), CATI is a research project called on to provide service to other projects like an industrial partner. Its core mission is to support the neuroimaging of large populations, providing concrete solutions to the increasing complexity involved in such projects by bringing together a service infrastructure, the know-how of its expert academic teams and a large-scale, harmonized network of imaging facilities. CATI aims to make data sharing across studies easier and promotes sharing as much as possible. In the last 4 years, CATI has assisted the clinical community by taking charge of 35 projects so far and has emerged as a recognized actor at the national and international levels.

Keywords Large-scale studies Multicenter protocols Neuroimaging biomarkers Data sharing Data mining CATI Consortium is an Institutional/consortium contribution. This is a preview of subscription content, log in to check access

Notes Acknowledgments This work received funding from the French Fondation Alzheimer; the European Union Seventh Framework Programme (FP7/2007–2013) under Grant Agreement n. 283562; the French program “Investissement d’Avenir” run by the ‘Agence Nationale pour la Recherche’; grant ‘Infrastructure d’avenir en Biologie Santé - ANR-11-INBS-0006’ and IHU-A-ICM, Paris Institute of Translational neuroscience, ANR-10-IAIHU-06.

Appendix The members of the CATI Consortium are: Executive committee: Jean-François Mangin, Stéphane Lehéricy, Bénédicte Batrancourt, Habib Benali, Catherine Champseix, Marie Chupin, Yann Cointepas, Olivier Colliot, Bruno Dubois, Marie-Odile Habert, Sullivan Marie, Grégory Operto, Mélanie Pélégrini-Issac, Cyril Poupon, Denis Riviere, Bertrand Thirion, Régine Trébossen Overall project management: Catherine Champseix, Thomas Estienne, Karima Lamrid MRI Acquisition: Marie Chupin, Cyril Poupon, Chabha Azouani, Ali Bouyahia, Hugo Dary, Sonia Djobeir, David Gay, Johanne Germain, Cedric Meurée, Amadou Tall, Urielle Thoprakarn, Kelly Martineau, Christine Delmaire, Stéphane Lehéricy, Mélanie Pélégrini-Issac, Vincent Perlbarg, Alexandre Vignaud PET/SPECT Acquisition: Marie-Odile Habert, Régine Trebossen, Sullivan Marie, Hugo Bertin, Maxime Locatelli, Jean-Baptiste Martini, Michel Bottlaender, Yann Cointepas, Aurélie Kas Database / Dataflow: Bénédicte Batrancourt, Yann Cointepas, Mathilde Bouin, Lydie Edward, Jinpeng Li, Sylvain Poret Image Processing Factory: Jean-François Mangin, Marie Chupin, Grégory Operto, Mamadou Diallo, Ludovic Fillon, Clara Fischer, Malo Gaubert, Mickaël Labit, Clarisse Longo Dos Santos, Yann Cointepas, Mélanie Pélégrini-Issac, Vincent Perlbarg, Cyril Poupon, Denis Rivière Research & Development: Habib Benali, Olivier Colliot, Enrica Cavedo, Mathieu Dubois, Takoua Kaaouana, Kamalakar Reddy, Marion Houot, Marie Chupin, Stanley Durrleman, Edouard Duchesnay, Jean-François Mangin, Alexandre Routier, Zhong Yi Sun Former members: Xavier Badé, Nader Cheaib, Samuel David, François De Guio, Delphine Duclap, Jessica Erber, Soizic Laguitton, Leila Makkaoui, Matthieu Perrot, Cyrille Turpin, Nicolas Vibet MEMENTO study core members: Carole Dufouil, Geneviève Chêne, Vincent Bouteloup, Helen Savarieau MRI network: Jean-Marc Constans, Hervé Deramond, Corinne Guillaume, Danielle Lembach, Sophie Potier (Amiens); Jacques Guyard, Anne PascoPapon (Angers); Françoise Cattin (Besançon); Guillaume Bertrand, Patrice Cayacy (Bobigny); Michèle Allard, Bixente Dilharreguy, Vincent Dousset (Bordeaux); Thierry Stekelorom (Boulogne-sur-Mer); Douraied Ben Sallem, Elisabeth Bruyant (Brest); Nicolas Delcroix (Caen); Philippe Lavau (Cambrai); Jean-Marie Bonny, Betty Jean, Stéphane Pouponneau (Clermont-Ferrand); Pierre Brugières, Julien Lincot (Créteil); Sylvain Bornier, Frédéric Ricolfi (Dijon); Arnaud Beauguitte (Douai); Eric Berlemont (Dunkerque); Dominique Dubois (Foix); Alexandre Krainik, Johan Pietras, Irène Troprès (Grenoble); Denis Berteloot (Lens); Arnaud Aubertin, Isabelle Lambert (Lille-Loos); Christine Delmaire, Julien Dumont, Jean-Pierre Pruvot (Lille); Marie-Paule Boncoeur-Martel, Nelly Viremonet (Limoges); François Cotton, Lionel Henarejos, Danielle Ibarrola, Franck Lamberton, Guy Louis-Tisserand (Lyon); Nadine Girard (Marseille); Philippe Debastelier (Maubeuge); Giuliano Michelozzi (Monaco); Alain Bonafé, Thierry Chaptal, Emmanuelle Le Bars, Nicolas Menjot de Champfleur, Mélanie Pigot (Montpellier); Serges Bonafé, Thierry Chaptal, Emmanuelle Le Bars, Nicolas Menjot de Champfleur, Mélanie Pigot (Montpellier); Serges (Nantes); Stéphane Chanalet, Sylvie Duverneuil, Lydiane Mondot (Nice); Eric Bardinet, Anne Bertrand, Antoine Burgos, Mélanie Didier, Didier Dormont, Frédéric Humbert, Stéphane Lehéricy, Stéphanie Lion, Kevin Nigaud, Catherine Oppenheim, (Paris); Rémy Guillevin (Poitiers); Laurent Pierot, Christophe Portefaix (Reims); Elise Bannier, Isabelle Corouge, Jean-Christophe Ferré, Jean-Yves Gauvrit, Catherine Guillemot, Agnès Pélerin (Rennes); Emmanuel Michelin (Roubaix); Yohann Cruypeninck, Emmanuel Gerardin(Rouen); Johann Girard Chéron, Philippe Larralde, Mathieu Rodallec (Saint-Denis); Claire Boutet, Isabelle Faillenot, Michel Paret (Saint-Etienne); Jean-Paul Armspach, Stéphane Krémer, Paulo Loureiro de Sousa(Strasbourg); Françoise Hugon (Tarbes); Fabrice Bonneville, Pierre Celsis, Hélène Gros-Dagnac, Nathalie Vayssière (Toulouse); Laurent Barantin, Jean-Philippe Cottier (Tours); Pierre Dobbelaere, Maxime Lalisse (Valenciennes) PET imaging network: Pascal Bailly, Marc-Etienne Meyer (Amiens); Francis Bouchet, Audrey Beneteau, Pacome Fosse (Angers); Yolande Petegnief, Hatem Boulahdour (Besançon); Gabriel Pop, Marie-Joséphine Waryn (Bobigny); Frederic Lamare, Sandrine Fouchet, Michèle Allard (Bordeaux); Solène Querellou, David Bourhis (Brest) Antony Kelly, Corinne Millardet, Elodie Jouberton (Clermont-Ferrand); Inna Dygai-Cochet, Jean-Marc Vrigneaud (Dijon); Céline Gallazzini-Crepin, Ghislaine Reboulet, Emilien Genod (Grenoble); Claude Hossein-Foucher, Maximilien Vermandel, Elodie Cordier (Lille); Isabelle Quelven, Romain Turcat (Limoges); Franck Lavenne, Christian Scheiber, Perrine Tylski, Christian Scheiber (Lyon); Bardia Farman, Éric Guedj, Fanny Barthélémy (Marseille); Benjamin Serrano, Florent Hugonnet (Monaco); Delphine De Verbizier Lonjon, Marjolaine Fourcade, Michel Zanca (Montpellier); Laetitia Imbert, Antoine Verger, Véronique Roch (Nancy); Amandine Pallardy, Thomas Carlier (Nantes); Fabien Maurel, Micheline Razzouk-Cadet, Guillaume Nivaggioni, Pierre Malick Koulibaly, Jacques Darcourt, Estelle Occelli (Nice); Marie-Odile Habert, Navichka Jungalee, Aurélie Kas, Marine Soret, Valérie Causse-Lemercier (Paris); Christelle Gallais, Ludovic Blanchard, Melissa Collot, Rémy Perdrisot (Poitiers); Florence Lejeune, Sophie Laffont (Rennes); Pierre Vera, Sébastien Hapdey, Arthur Dumouchel, Pierrick Gouel (Rouen); Mathieu Queneau, Karim Farid, Laurence Merlin (Saint-Denis); Nathalie Prevot-Bitot, Marielle Decousus (Saint-Etienne); Izzie Jacques Namer, Fabrice Hubelé, Élise Enderlin (Strasbourg); Anne Hitzel, Pierre Payoux (Toulouse); Maria-Joao Santiago-Ribeiro, Catherine Pérault (Tours) Method labs and platforms network: CHU Toulouse (Pierre Payoux); Clinical Imaging Core faCility – CI2C, CHRULille (Christine Delmaire, Julien Dumont, Renaud Lopes); INSERM U1077, Caen (Gaël Chételat); Neurinfo platform /IRISA VisAGeS research team, Rennes (Elise Bannier, Christian Barillot, Isabelle Corouge, Jean-Christophe Ferré); Plateforme d’imagerie in-vivo / ICube lab, Strasbourg (Paulo Loureiro de Sousa); IRMaGe platform / GIN lab, Grenoble (Alexandre Krainik, Laurent Lamalle, Irène Troprès, Jan Warnking); IR4M, UMR8081, Paris-Sud University– CNRS, Orsay (Ludovic de Rochefort); Plateforme Ibio / INCIA, Bordeaux (Michèle Allard, Bixente Dilharreguy); CERMEP, Lyon (Danielle Ibarrola, Franck Lamberton); MRI platform, ISCT, Toulouse (Hélène Gros-Dagnac, Nathalie Vayssière); MRI platform, I2FH, CHU Gui de Chauliac, Montpellier (Emmanuelle Le Bars, Nicolas Menjot deChampfleur); Unité Imagerie et Cerveau, Tours (Laurent Barantin); LaBRI – UMR 5800, Bordeaux (Pierrick Coupé); ASCLEPIOS, Sophia-Antipolis (Nicholas Ayache, Xavier Pennec); INT / CNRS UMR6168, Marseille (Olivier Coulon, Guillaume Auzias, Julien Lefèvre); MIRCen, Fontenay-aux-Roses (Thierry Delzescaux, Nicolas Souedet); ATHENA, Sofia-Antipolis (Rachid Deriche)

References Chupin, M., Hammers, A., Liu, R. S., Colliot, O., Burdett, J., Bardinet, E., Duncan, J. S., Garnero, L., & Lemieux, L. (2009). Automatic segmentation of the hippocampus and the amygdala driven by hybrid constraints: method and validation. NeuroImage, 46, 749–761. CrossRef (http://doi.org/10.1016/j.neuroimage.2009.02.013) PubMed (http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=19236922) PubMedCentral (http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2677639) Google Scholar (http://scholar.google.com/scholar_lookup? title=Automatic%20segmentation%20of%20the%20hippocampus%20and%20the%20amygdala%20driven%20by%20hybrid%20constraints%3A% 20method%20and%20validation&author=M.%20Chupin&author=A.%20Hammers&author=RS.%20Liu&author=O.%20Colliot&author=J.%20Burd ett&author=E.%20Bardinet&author=JS.%20Duncan&author=L.%20Garnero&author=L.%20Lemieux&journal=NeuroImage&volume=46&pages=74 9-761&publication_year=2009) Cointepas, Y., Geffroy, D., Souedet, N., Denghien, I., Rivière, D., Roses, F. (2010). The BrainVISA project: a shared software development infrastructure for biomedical imaging research. Proceedings 16th OHBM. Google Scholar (http://scholar.google.com/scholar? q=Cointepas%2C%20Y.%2C%20Geffroy%2C%20D.%2C%20Souedet%2C%20N.%2C%20Denghien%2C%20I.%2C%20Rivi%C3%A8re%2C%20 D.%2C%20Roses%2C%20F.%20%282010%29.%20The%20BrainVISA%20project%3A%20a%20shared%20software%20development%20infrastr ucture%20for%20biomedical%20imaging%20research.%20Proceedings%2016th%20OHBM.%0A%20%20%20%20%20%20%20%20%20%20%2 0%20%20%20%20%20%20%20%20%20%20%20%20%20) Colliot, O., Chetelat, G., Chupin, M., Desgranges, B., Magnin, B., Benali, H., Dubois, B., Garnero, L., Eustache, F., & Lehericy, S. (2008). Discrimination between Alzheimer disease, mild cognitive impairment, and normal aging by using automated segmentation of the hippocampus. Radiology, 248, 194–201. CrossRef (http://doi.org/10.1148/radiol.2481070876) PubMed (http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=18458242) Google Scholar (http://scholar.google.com/scholar_lookup? title=Discrimination%20between%20Alzheimer%20disease%2C%20mild%20cognitive%20impairment%2C%20and%20normal%20aging%20by% 20using%20automated%20segmentation%20of%20the%20hippocampus&author=O.%20Colliot&author=G.%20Chetelat&author=M.%20Chupin& author=B.%20Desgranges&author=B.%20Magnin&author=H.%20Benali&author=B.%20Dubois&author=L.%20Garnero&author=F.%20Eustache&a uthor=S.%20Lehericy&journal=Radiology&volume=248&pages=194-201&publication_year=2008) Ferguson, A. R., Nielson, J. L., Cragin, M. H., Bandrowski, A. E., & Martone, M. E. (2014). Big data from small data: data-sharing in the ‘long tail’ of neuroscience. Nature Neuroscience, 17(11), 1442–1447. CrossRef (http://doi.org/10.1038/nn.3838) PubMed (http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=25349910) PubMedCentral (http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4728080) Google Scholar (http://scholar.google.com/scholar_lookup?title=Big%20data%20from%20small%20data%3A%20datasharing%20in%20the%20%E2%80%98long%20tail%E2%80%99%20of%20neuroscience&author=AR.%20Ferguson&author=JL.%20Nielson&aut hor=MH.%20Cragin&author=AE.%20Bandrowski&author=ME.%20Martone&journal=Nature%20Neuroscience&volume=17&issue=11&pages=144 2-1447&publication_year=2014) Fischl, B. (2012). FreeSurfer. NeuroImage, 62(2), 774–781. CrossRef (http://doi.org/10.1016/j.neuroimage.2012.01.021) PubMed (http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=22248573) PubMedCentral (http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3685476) Google Scholar (http://scholar.google.com/scholar_lookup? title=FreeSurfer&author=B.%20Fischl&journal=NeuroImage&volume=62&issue=2&pages=774-781&publication_year=2012) Frisoni, G. B., Redolfi, A., Manset, D., Rousseau, M. É., Toga, A., & Evans, A. C. (2011). Virtual imaging laboratories for marker discovery in neurodegenerative diseases. Nature Reviews Neurology, 7(8), 429–438. CrossRef (http://doi.org/10.1038/nrneurol.2011.99) PubMed (http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=21727938) Google Scholar (http://scholar.google.com/scholar_lookup? title=Virtual%20imaging%20laboratories%20for%20marker%20discovery%20in%20neurodegenerative%20diseases&author=GB.%20Frisoni&auth or=A.%20Redolfi&author=D.%20Manset&author=M%C3%89.%20Rousseau&author=A.%20Toga&author=AC.%20Evans&journal=Nature%20Rev iews%20Neurology&volume=7&issue=8&pages=429-438&publication_year=2011) Guevara, P., Duclap, D., Poupon, C., Marrakchi-Kacem, L., Fillard, P., Le Bihan, D., Leboyer, M., Houenou, J., & Mangin, J. F. (2012). Automatic fiber bundle segmentation in massive tractography datasets using a multi-subject bundle atlas. NeuroImage, 61, 1083–1099. CrossRef (http://doi.org/10.1016/j.neuroimage.2012.02.071) PubMed (http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=22414992) Google Scholar (http://scholar.google.com/scholar_lookup? title=Automatic%20fiber%20bundle%20segmentation%20in%20massive%20tractography%20datasets%20using%20a%20multisubject%20bundle%20atlas&author=P.%20Guevara&author=D.%20Duclap&author=C.%20Poupon&author=L.%20MarrakchiKacem&author=P.%20Fillard&author=D.%20Bihan&author=M.%20Leboyer&author=J.%20Houenou&author=JF.%20Mangin&journal=NeuroImag e&volume=61&pages=1083-1099&publication_year=2012) Laguitton, S., Rivière, D., Vincent, T., Fischer, C., Geffroy, D., Souedet, N., Denghien, I., & Cointepas, Y. (2011). Soma-workflow: a unified and simple interface to parallel computing resources. In T. Peters, G. Fichtinger, & A. Martel (Eds.), MICCAI 2011 conference. Toronto: Springer LNCS. Google Scholar (http://scholar.google.com/scholar_lookup?title=Somaworkflow%3A%20a%20unified%20and%20simple%20interface%20to%20parallel%20computing%20resources&author=S.%20Laguitton&author= D.%20Rivi%C3%A8re&author=T.%20Vincent&author=C.%20Fischer&author=D.%20Geffroy&author=N.%20Souedet&author=I.%20Denghien&au thor=Y.%20Cointepas&publication_year=2011) Mangin, J. F., Rivière, D., Cachia, A., Duchesnay, E., Cointepas, Y., Papadopoulos-Orfanos, D., Collins, D. L., Evans, A. C., & Regis, J. (2004). Objectbased morphometry of the cerebral cortex. IEEE Transactions on Medical Imaging, 23, 968–982. Google Scholar (http://scholar.google.com/scholar? q=Mangin%2C%20J.%20F.%2C%20Rivi%C3%A8re%2C%20D.%2C%20Cachia%2C%20A.%2C%20Duchesnay%2C%20E.%2C%20Cointepas%2 C%20Y.%2C%20PapadopoulosOrfanos%2C%20D.%2C%20Collins%2C%20D.%20L.%2C%20Evans%2C%20A.%20C.%2C%20%26%20Regis%2C%20J.%20%282004%29.%20 Objectbased%20morphometry%20of%20the%20cerebral%20cortex.%20IEEE%20Transactions%20on%20Medical%20Imaging%2C%2023%2C%20968 %E2%80%93982.) Mangin, J. F., Jouvent, E., & Cachia, A. (2010). In-vivo measurement of cortical morphology: means and meanings. Current Opinion in Neurology, 23, 359–367. PubMed (http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=20489617) Google Scholar (http://scholar.google.com/scholar_lookup?title=Invivo%20measurement%20of%20cortical%20morphology%3A%20means%20and%20meanings&author=JF.%20Mangin&author=E.%20Jouvent&a uthor=A.%20Cachia&journal=Current%20Opinion%20in%20Neurology&volume=23&pages=359-367&publication_year=2010) Martini, J. B., Habert, M. O., Yeni, N., Giron, A., Gharrad, I., Hartmann, A., & Kas, A. (2014). Large-scale validation of a computer-aided quantification for 123I-FP-CIT images. Society of Nuclear Medicine Annual Meeting Abstracts, 55(Supplement 1), 2037. Google Scholar (http://scholar.google.com/scholar_lookup?title=Large-scale%20validation%20of%20a%20computeraided%20quantification%20for%20123I-FPCIT%20images&author=JB.%20Martini&author=MO.%20Habert&author=N.%20Yeni&author=A.%20Giron&author=I.%20Gharrad&author=A.%20 Hartmann&author=A.%20Kas&journal=Society%20of%20Nuclear%20Medicine%20Annual%20Meeting%20Abstracts&volume=55&issue=Supple ment%201&pages=2037&publication_year=2014) Operto, G., Fischer, C., David, S., Bouin, M., Fillon, L., Champseix, C., Mangin, J-F. (2015). SnapBase/SnapCheck: Assisting Quality Control of Postprocessing Results over Large Cohorts (2015), Human Brain Mapping Conference. Google Scholar (http://scholar.google.com/scholar? q=Operto%2C%20G.%2C%20Fischer%2C%20C.%2C%20David%2C%20S.%2C%20Bouin%2C%20M.%2C%20Fillon%2C%20L.%2C%20Champ seix%2C%20C.%2C%20Mangin%2C%20JF.%20%282015%29.%20SnapBase%2FSnapCheck%3A%20Assisting%20Quality%20Control%20of%20Postprocessing%20Results%20over%20Large%20Cohorts%20%282015%29%2C%20Human%20Brain%20Mapping%20Conference.) Penny, W. D., Friston, K. J., Ashburner, J. T., Kiebel, S. J., & Nichols, T. E. (Eds.). (2011). Statistical Parametric Mapping: The Analysis of Functional Brain Images: The Analysis of Functional Brain Images. Academic Press. Google Scholar (http://scholar.google.com/scholar? q=Penny%2C%20W.%20D.%2C%20Friston%2C%20K.%20J.%2C%20Ashburner%2C%20J.%20T.%2C%20Kiebel%2C%20S.%20J.%2C%20%26 %20Nichols%2C%20T.%20E.%20%28Eds.%29.%20%282011%29.%20Statistical%20Parametric%20Mapping%3A%20The%20Analysis%20of%2 0Functional%20Brain%20Images%3A%20The%20Analysis%20of%20Functional%20Brain%20Images.%20Academic%20Press.) Poldrack, R. A., & Gorgolewski, K. J. (2014). Making big data open: data sharing in neuroimaging. Nature Neuroscience, 17(11), 1510–1517. CrossRef (http://doi.org/10.1038/nn.3818) PubMed (http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=25349916) Google Scholar (http://scholar.google.com/scholar_lookup? title=Making%20big%20data%20open%3A%20data%20sharing%20in%20neuroimaging&author=RA.%20Poldrack&author=KJ.%20Gorgolewski &journal=Nature%20Neuroscience&volume=17&issue=11&pages=1510-1517&publication_year=2014) Poline, J.-B., Breeze, J. L., Ghosh, S., Gorgolewski, K. F., Halchenko, Y. O., Hanke, M., Haselgrove, C., Helmer, K. G., Keator, D. B., Marcus, D. S., Poldrack, R. A., Schwartz, Y., Ashburner, J., & Kennedy, D. N. (2012). Data sharing in neuroimaging research. Frontiers in Nueroinformatics, 6, 9. doi: 10.3389/fninf.2012.00009 (http://doi.org/10.3389/fninf.2012.00009). Google Scholar (http://scholar.google.com/scholar_lookup?title=Data%20sharing%20in%20neuroimaging%20research&author=JB.%20Poline&author=JL.%20Breeze&author=S.%20Ghosh&author=KF.%20Gorgolewski&author=YO.%20Halchenko&author=M.%20Hanke&auth or=C.%20Haselgrove&author=KG.%20Helmer&author=DB.%20Keator&author=DS.%20Marcus&author=RA.%20Poldrack&author=Y.%20Schwartz &author=J.%20Ashburner&author=DN.%20Kennedy&journal=Frontiers%20in%20Nueroinformatics&volume=6&pages=9&publication_year=2012 &doi=10.3389%2Ffninf.2012.00009) Samaille, T., Fillon, L., Cuingnet, R., Jouvent, E., Chabriat, H., Dormont, D., Colliot, O., & Chupin, M. (2013). Contrast-based fully automatic segmentation of white matter hyperintensities: method and validation. PloS One, 7, e48953. CrossRef (http://doi.org/10.1371/journal.pone.0048953) Google Scholar (http://scholar.google.com/scholar_lookup?title=Contrastbased%20fully%20automatic%20segmentation%20of%20white%20matter%20hyperintensities%3A%20method%20and%20validation&author=T. %20Samaille&author=L.%20Fillon&author=R.%20Cuingnet&author=E.%20Jouvent&author=H.%20Chabriat&author=D.%20Dormont&author=O. %20Colliot&author=M.%20Chupin&journal=PloS%20One&volume=7&pages=e48953&publication_year=2013) Sejnowski, T. J., Churchland, P. S., & Movshon, J. A. (2014). Putting big data to good use in neuroscience. Nature Neuroscience, 17, 1440–1441. CrossRef (http://doi.org/10.1038/nn.3839) PubMed (http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=25349909) PubMedCentral (http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4224030) Google Scholar (http://scholar.google.com/scholar_lookup? title=Putting%20big%20data%20to%20good%20use%20in%20neuroscience&author=TJ.%20Sejnowski&author=PS.%20Churchland&author=JA. %20Movshon&journal=Nature%20Neuroscience&volume=17&pages=1440-1441&publication_year=2014) Van Horn, J. D., & Toga, A. W. (2014). Human neuroimaging as a “big data” science. Brain Imaging and Behavior, 8(2), 323–331. CrossRef (http://doi.org/10.1007/s11682-013-9255-y) PubMed (http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=24113873) PubMedCentral (http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3983169) Google Scholar (http://scholar.google.com/scholar_lookup? title=Human%20neuroimaging%20as%20a%20%E2%80%9Cbig%20data%E2%80%9D%20science&author=JD.%20Horn&author=AW.%20Toga& journal=Brain%20Imaging%20and%20Behavior&volume=8&issue=2&pages=323-331&publication_year=2014) Wallis, J. C., Rolando, E., & Borgman, C. L. (2013). If we share data, will anyone use them? Data sharing and reuse in the long tail of science and technology. PloS One, 8(7), e67332. doi: 10.1371/journal.pone.0067332 (http://doi.org/10.1371/journal.pone.0067332). CrossRef (http://doi.org/10.1371/journal.pone.0067332) PubMed (http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=23935830) PubMedCentral (http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3720779) Google Scholar (http://scholar.google.com/scholar_lookup? title=If%20we%20share%20data%2C%20will%20anyone%20use%20them%3F%20Data%20sharing%20and%20reuse%20in%20the%20long%20t ail%20of%20science%20and%20technology&author=JC.%20Wallis&author=E.%20Rolando&author=CL.%20Borgman&journal=PloS%20One&vo lume=8&issue=7&pages=e67332&publication_year=2013&doi=10.1371%2Fjournal.pone.0067332) Weinberg, A. M. (1961). Impact of large-scale science on the United States. Science, 134, 161–164. CrossRef (http://doi.org/10.1126/science.134.3473.161) PubMed (http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=17818712) Google Scholar (http://scholar.google.com/scholar_lookup?title=Impact%20of%20largescale%20science%20on%20the%20United%20States&author=AM.%20Weinberg&journal=Science&volume=134&pages=161164&publication_year=1961)

Copyright information © Springer Science+Business Media New York 2016

About this article Cite this article as: Operto, G., Chupin, M., Batrancourt, B. et al. Neuroinform (2016) 14: 253. http://doi.org/10.1007/s12021-016-9295-8 DOI (Digital Object Identifier) http://doi.org/10.1007/s12021-016-9295-8 Publisher Name Springer US Print ISSN 1539-2791 Online ISSN 1559-0089 About this journal Reprints and Permissions

Personalised recommendations

© 2017 Springer International Publishing AG. Part of Springer Nature. Not logged in Not affiliated 185.191.229.108

Loading...

CATI: A Large Distributed Infrastructure for the Neuroimaging of

CATI: A Large Distributed Infrastructure for the Neuroimaging of Cohorts Neuroinformatics July 2016, Volume 14, Issue 3, pp 253–264 | Cite as Grégory ...

94KB Sizes 3 Downloads 3 Views

Recommend Documents

Advanced distributed architecture for a complex and large scale
Several Arabic handwritten recognition systems (AHRS) have been widely used since the early nineties, proposing high rec

Large scale networked dynamical systems: Distributed inference
5.1Top left: Restriction of [P to [1 + y/2, 3], i.e., the set So. Top right: .... As a second example, consider the prob

Distributed Agile Development: Using Scrum in a Large Project
sions of agile methods like distributed Scrum [32] and DXP. [16] have been ... agile. 2.1 Agile practices. The literatur

Continuous architecture in a large distributed agile organization - LNU
To quote Evan Bottcher and the inverse Conway maneuver. “Design the organization you want, the architecture will follo

large-scale corba-distributed software framework for nif controls
NIF physical control components to CORBA software objects [1][2][3]. Following strategies of object-oriented software de

catalogo - Cati
Para adquirir as publicações da CATI você poderá efetuar o pagamento no valor total. por meio de cheque nominal/cruz

Medicinais - Cati
ção de óleos essenciais, que demonstraram o potencial brasileiro para se tornar um grande produtor mundial, o. que ainda

Olericultura - Cati
por hectare do que outras culturas, principalmente se. falarmos em .... uma empresa de consultoria em agronegócios. Nes

Bovinocultura - Cati
dizer que cumprimos o nosso papel de transformar comunicação em qualidade ... a Revista Casa da Agricultura se estabelec

usoagua - Cati
energia hidrelétrica abaixa o nível dos reservatórios e. impõe novos custos e limitações técnicas à captação e. distribu