Vincent Perlbarg - researchr alias

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Viewing Publication 1 - 19 from 19

2025

Multi-cohort machine learning identifies predictors of cognitive impairment in Parkinson's diseaseRebecca Ting Jiin Loo, Lukas Pavelka, Graziella Mangone, Fouad Khoury, Marie Vidailhet, Jean-Christophe Corvol, Enrico Glaab, Geeta Acharya, Gloria Aguayo, Myriam Alexandre, Muhammad Ali, Wim Ammerlann, Giuseppe Arena, Michele Bassis, Roxane Batutu, Katy Beaumont, Sibylle Béchet, Guy Berchem, Alexandre Bisdorff, Ibrahim Boussaad, David Bouvier, Lorieza Castillo, Gessica Contesotto, Nancy De Bremaeker, Brian Dewitt, Nico Diederich, Rene Dondelinger, Nancy E. Ramia, Maria Fernanda Niño Uribe, Angelo Ferrari, Ana Festas Lopes, Katrin Frauenknecht, Joëlle Fritz, Carlos Gamio, Manon Gantenbein, Piotr Gawron, Laura Georges, Soumyabrata Ghosh, Marijus Giraitis, Martine Goergen, Elisa Gómez de Lope, Jérôme Graas, Mariella Graziano, Valentin Grouès, Anne Grünewald, Gaël Hammot, Anne-Marie Hanff, Linda Hansen, Michael Heneka, Estelle Henry, Margaux Henry, Sylvia Herbrink, Sascha Herzinger, Alexander Hundt, Nadine Jacoby, Sonja Jónsdóttir, Jochen Klucken, Olga Kofanova, Rejko Krüger, Pauline Lambert, Zied Landoulsi, Roseline Lentz, Victoria Lorentz, Tainá M. Marques, Guilherme Marques, Patricia Martins Conde, Patrick May, Deborah Mcintyre, Chouaib Mediouni, Francoise Meisch, Alexia Mendibide, Myriam Menster, Maura Minelli, Michel Mittelbronn, Saïda Mtimet, Maeva Munsch, Romain Nati, Ulf Nehrbass, Sarah Nickels, Beatrice Nicolai, Jean-Paul Nicolay, Fozia Noor, Clarissa P. C. Gomes, Sinthuja Pachchek, Claire Pauly, Laure Pauly, Magali Perquin, Achilleas Pexaras, Armin Rauschenberger, Rajesh Rawal, Dheeraj Reddy Bobbili, Lucie Remark, Ilsé Richard, Olivia Roland, Kirsten Roomp, Eduardo Rosales 0001, Stefano Sapienza, Venkata Satagopam, Sabine Schmitz, Reinhard Schneider 0002, Jens Schwamborn, Raquel Severino, Amir Sharify, Ruxandra Soare, Ekaterina Soboleva, Kate Sokolowska, Maud Theresine, Hermann Thien, Elodie Thiry, Johanna Trouet, Olena Tsurkalenko, Michel Vaillant, Carlos Vega, Liliana Vilas Boas, Paul Wilmes, Evi Wollscheid-Lengeling, Gelani Zelimkhanov, Marie-Alexandrine, Isabelle Arnulf, Samir Bekadar, Eve Benchetrit, Alexis Brice, Alizé Chalançon, Benoit Colsch, Florence Cormier-Dequaire, Virginie Czernecki, Bertrand Degos, Pauline Dodet, Carole Dongmo-Kenfack, Cécile Galléa, Rahul Gaurav, Manon Gomes, David Grabli, Marie Odile Habert, Élodie Hainque, Farid Ichou, Jonas Ihle, Laetitia Jeancolas, Christelle Laganot, Louis-Laure Mariani, Mickaël Lé, Stéphane Lehéricy, Suzanne Lesage, Smaranda Leu Semenescu, Richard Levy, Valentine Maheo, Poornima Menon, Fanny Mochel, Vincent Perlbarg, Dijana Petrovska, Fanny Pineau, Nadya Pyatigorskaya, Sophie Rivaud-Péchoux, Sara Sambin, Julie Socha, Arthur Tenenhaus, Romain Valabrègue, Caroline Weill, Lydia Yahia-Cherif. npjdm, 8(1), 2025. [doi]

2018

A strategy for multimodal data integration: application to biomarkers identification in spinocerebellar ataxiaImene Garali, Isaac M. Adanyeguh, Farid Ichou, Vincent Perlbarg, Alexandre Seyer, Benoit Colsch, Ivan Moszer, Vincent Guillemot, Alexandra Durr, Fanny Mochel, Arthur Tenenhaus. bib, 19(6):1356-1369, 2018. [doi]

2016

2014

ODF maxima computation using hill climbing algorithmMakhlouf Laouchedi, Thinhinane Megherbi, Houssem Khabatti, Ishak Serrat, Rachid Deriche, Vincent Perlbarg, Fatima Oulebsir-Boumghar. isbi 2014: 722-725 [doi]

Combining Spatial Independent Component Analysis with Regression to Identify the Subcortical Components of Resting-State fMRI Functional NetworksCaroline Malherbe, Arnaud Messé, Eric Bardinet, Mélanie Pélégrini-Issac, Vincent Perlbarg, Guillaume Marrelec, Yulia Worbe, Jérôme Yelnik, Stéphane Lehericy, Habib Benali. brain, 4(3):181-192, 2014. [doi]

Characteristics of the default mode functional connectivity in normal ageing and Alzheimer's disease using resting state fMRI with a combined approach of entropy-based and graph theoretical measurementsPaule-Joanne Toussaint, Sofiane Maiz, David Coynel, Julien Doyon, Arnaud Messé, Leonardo Cruz de Souza, Marie Sarazin, Vincent Perlbarg, Marie Odile Habert, Habib Benali. neuroimage, 101:778-786, 2014. [doi]

2012

2011

2010

2008

NEDICA: Detection of group functional networks in FMRI using spatial independent component analysisVincent Perlbarg, Guillaume Marrelec, Julien Doyon, Mélanie Pélégrini-Issac, Stéphane Lehericy, Habib Benali. isbi 2008: 1247-1250 [doi]

Contribution of Exploratory Methods to the Investigation of Extended Large-Scale Brain Networks in Functional MRI: Methodologies, Results, and ChallengesVincent Perlbarg, Guillaume Marrelec. ijbi, 2008, 2008. [doi]

2006

Identification of large-scale networks in the brain using fMRIPierre Bellec, Vincent Perlbarg, Saâd Jbabdi, Mélanie Pélégrini-Issac, Jean-Luc Anton, Julien Doyon, Habib Benali. neuroimage, 29(4):1231-1243, 2006. [doi]

Correction of Structured Noise in fMRI Using Spatial Independent Component Analysis: CorsicaVincent Perlbarg, Pierre Bellec, Jean-Luc Anton, Habib Benali. icassp 2006: 1105-1108 [doi]

2004

Identification of A Large-Scale Functional Network In Functional Magnetic Resonance ImagingPierre Bellec, Guillaume Marrelec, Vincent Perlbarg, Saâd Jbabdi, Odile Jolivet, Mélanie Pélégrini-Issac, Habib Benali, Julien Doyon. isbi 2004: 848-851

Selection of Spatially Independent Components to Explain Functional Connectivity In fMRIVincent Perlbarg, Pierre Bellec, Habib Benali, Guillaume Marrelec, Saâd Jbabdi. isbi 2004: 852-855

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