18 results on '"Sólon Heinsfeld A"'
Number of results to display per page
Search Results
2. Bagging improves reproducibility of functional parcellation of the human brain
- Author
-
Nikolaidis, Aki, Solon Heinsfeld, Anibal, Xu, Ting, Bellec, Pierre, Vogelstein, Joshua, and Milham, Michael
- Published
- 2020
- Full Text
- View/download PDF
3. Ten simple rules for open human health research.
- Author
-
Aïda Bafeta, Jason Bobe, Jon Clucas, Pattie Pramila Gonsalves, Célya Gruson-Daniel, Kathy L Hudson, Arno Klein, Anirudh Krishnakumar, Anna McCollister-Slipp, Ariel B Lindner, Dusan Misevic, John A Naslund, Camille Nebeker, Aki Nikolaidis, Irene Pasquetto, Gabriela Sanchez, Matthieu Schapira, Tohar Scheininger, Félix Schoeller, Anibal Sólon Heinsfeld, and François Taddei
- Subjects
Biology (General) ,QH301-705.5 - Published
- 2020
- Full Text
- View/download PDF
4. Identification of autism spectrum disorder using deep learning and the ABIDE dataset
- Author
-
Anibal Sólon Heinsfeld, Alexandre Rosa Franco, R. Cameron Craddock, Augusto Buchweitz, and Felipe Meneguzzi
- Subjects
Computer applications to medicine. Medical informatics ,R858-859.7 ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
The goal of the present study was to apply deep learning algorithms to identify autism spectrum disorder (ASD) patients from large brain imaging dataset, based solely on the patients brain activation patterns. We investigated ASD patients brain imaging data from a world-wide multi-site database known as ABIDE (Autism Brain Imaging Data Exchange). ASD is a brain-based disorder characterized by social deficits and repetitive behaviors. According to recent Centers for Disease Control data, ASD affects one in 68 children in the United States. We investigated patterns of functional connectivity that objectively identify ASD participants from functional brain imaging data, and attempted to unveil the neural patterns that emerged from the classification. The results improved the state-of-the-art by achieving 70% accuracy in identification of ASD versus control patients in the dataset. The patterns that emerged from the classification show an anticorrelation of brain function between anterior and posterior areas of the brain; the anticorrelation corroborates current empirical evidence of anterior-posterior disruption in brain connectivity in ASD. We present the results and identify the areas of the brain that contributed most to differentiating ASD from typically developing controls as per our deep learning model. Keywords: Autism, fMRI, ABIDE, Resting state, Deep learning
- Published
- 2018
- Full Text
- View/download PDF
5. 2015 Brainhack Proceedings
- Author
-
R. Cameron Craddock, Pierre Bellec, Daniel S. Margules, B. Nolan Nichols, Jörg P. Pfannmöller, AmanPreet Badhwar, David Kennedy, Jean-Baptiste Poline, Roberto Toro, Ben Cipollini, Ariel Rokem, Daniel Clark, Krzysztof J. Gorgolewski, Daniel J. Clark, Samir Das, Cécile Madjar, Ayan Sengupta, Zia Mohades, Sebastien Dery, Weiran Deng, Eric Earl, Damion V. Demeter, Kate Mills, Glad Mihai, Luka Ruzic, Nick Ketz, Andrew Reineberg, Marianne C. Reddan, Anne-Lise Goddings, Javier Gonzalez-Castillo, Caroline Froehlich, Gil Dekel, Daniel S. Margulies, Ben D. Fulcher, Tristan Glatard, Reza Adalat, Natacha Beck, Rémi Bernard, Najmeh Khalili-Mahani, Pierre Rioux, Marc-Étienne Rousseau, Alan C. Evans, Yaroslav O. Halchenko, Matteo Visconti di Oleggio Castello, Raúl Hernández-Pérez, Edgar A. Morales, Laura V. Cuaya, Kaori L. Ito, Sook-Lei Liew, Hans J. Johnson, Erik Kan, Julia Anglin, Michael Borich, Neda Jahanshad, Paul Thompson, Marcel Falkiewicz, Julia M. Huntenburg, David O’Connor, Michael P. Milham, Ramon Fraga Pereira, Anibal Sólon Heinsfeld, Alexandre Rosa Franco, Augusto Buchweitz, Felipe Meneguzzi, Rickson Mesquita, Luis C. T. Herrera, Daniela Dentico, Vanessa Sochat, Julio E. Villalon-Reina, and Eleftherios Garyfallidis
- Subjects
Computer applications to medicine. Medical informatics ,R858-859.7 - Abstract
Table of contents I1 Introduction to the 2015 Brainhack Proceedings R. Cameron Craddock, Pierre Bellec, Daniel S. Margules, B. Nolan Nichols, Jörg P. Pfannmöller A1 Distributed collaboration: the case for the enhancement of Brainspell’s interface AmanPreet Badhwar, David Kennedy, Jean-Baptiste Poline, Roberto Toro A2 Advancing open science through NiData Ben Cipollini, Ariel Rokem A3 Integrating the Brain Imaging Data Structure (BIDS) standard into C-PAC Daniel Clark, Krzysztof J. Gorgolewski, R. Cameron Craddock A4 Optimized implementations of voxel-wise degree centrality and local functional connectivity density mapping in AFNI R. Cameron Craddock, Daniel J. Clark A5 LORIS: DICOM anonymizer Samir Das, Cécile Madjar, Ayan Sengupta, Zia Mohades A6 Automatic extraction of academic collaborations in neuroimaging Sebastien Dery A7 NiftyView: a zero-footprint web application for viewing DICOM and NIfTI files Weiran Deng A8 Human Connectome Project Minimal Preprocessing Pipelines to Nipype Eric Earl, Damion V. Demeter, Kate Mills, Glad Mihai, Luka Ruzic, Nick Ketz, Andrew Reineberg, Marianne C. Reddan, Anne-Lise Goddings, Javier Gonzalez-Castillo, Krzysztof J. Gorgolewski A9 Generating music with resting-state fMRI data Caroline Froehlich, Gil Dekel, Daniel S. Margulies, R. Cameron Craddock A10 Highly comparable time-series analysis in Nitime Ben D. Fulcher A11 Nipype interfaces in CBRAIN Tristan Glatard, Samir Das, Reza Adalat, Natacha Beck, Rémi Bernard, Najmeh Khalili-Mahani, Pierre Rioux, Marc-Étienne Rousseau, Alan C. Evans A12 DueCredit: automated collection of citations for software, methods, and data Yaroslav O. Halchenko, Matteo Visconti di Oleggio Castello A13 Open source low-cost device to register dog’s heart rate and tail movement Raúl Hernández-Pérez, Edgar A. Morales, Laura V. Cuaya A14 Calculating the Laterality Index Using FSL for Stroke Neuroimaging Data Kaori L. Ito, Sook-Lei Liew A15 Wrapping FreeSurfer 6 for use in high-performance computing environments Hans J. Johnson A16 Facilitating big data meta-analyses for clinical neuroimaging through ENIGMA wrapper scripts Erik Kan, Julia Anglin, Michael Borich, Neda Jahanshad, Paul Thompson, Sook-Lei Liew A17 A cortical surface-based geodesic distance package for Python Daniel S Margulies, Marcel Falkiewicz, Julia M Huntenburg A18 Sharing data in the cloud David O’Connor, Daniel J. Clark, Michael P. Milham, R. Cameron Craddock A19 Detecting task-based fMRI compliance using plan abandonment techniques Ramon Fraga Pereira, Anibal Sólon Heinsfeld, Alexandre Rosa Franco, Augusto Buchweitz, Felipe Meneguzzi A20 Self-organization and brain function Jörg P. Pfannmöller, Rickson Mesquita, Luis C.T. Herrera, Daniela Dentico A21 The Neuroimaging Data Model (NIDM) API Vanessa Sochat, B Nolan Nichols A22 NeuroView: a customizable browser-base utility Anibal Sólon Heinsfeld, Alexandre Rosa Franco, Augusto Buchweitz, Felipe Meneguzzi A23 DIPY: Brain tissue classification Julio E. Villalon-Reina, Eleftherios Garyfallidis
- Published
- 2016
- Full Text
- View/download PDF
6. Moving Beyond Processing and Analysis-Related Variation in Neuroscience
- Author
-
Xinhui Li, Lei Ai, Steve Giavasis, Hecheng Jin, Eric Feczko, Ting Xu, Jon Clucas, Alexandre Franco, Anibal Sólon Heinsfeld, Azeez Adebimpe, Joshua T. Vogelstein, Chao-Gan Yan, Oscar Esteban, Russell A. Poldrack, Cameron Craddock, Damien Fair, Theodore Satterthwaite, Gregory Kiar, and Michael P. Milham
- Abstract
When fields lack consensus standards and ground truths for their analytic methods, reproducibility can be more of an ideal than a reality. Such has been the case for functional neuroimaging, where there exists a sprawling space of tools for constructing processing pipelines and drawing interpretations. We provide a critical evaluation of the impact of differences across five independently developed minimal preprocessing pipelines for functional MRI. We show that even when handling identical data, inter-pipeline agreement was only moderate. Critically, this highlights a dependence of downstream analyses on the chosen processing pipeline, and sheds light on a potentially driving factor in prior reports of limited reproducibility across studies. Using a densely sampled test-retest dataset, we show that limitations imposed by inter-pipeline agreement mainly become appreciable when the reliability of the underlying data is high, which is increasingly the case as the field progresses into an era of unprecedented data quality and abundance. We highlight the importance of comparing analytic configurations, as both widely discussed (e.g., global signal regression) and commonly overlooked (e.g., MNI template version) decisions were found to lead to marked variation. We provide recommendations for incorporating tool-based variability in functional neuroimaging analyses and a supporting infrastructure.
- Published
- 2021
7. Moving Beyond Processing and Analysis-Related Variation in Neuroscience
- Author
-
Li, Xinhui, primary, Ai, Lei, additional, Giavasis, Steve, additional, Jin, Hecheng, additional, Feczko, Eric, additional, Xu, Ting, additional, Clucas, Jon, additional, Franco, Alexandre, additional, Sólon Heinsfeld, Anibal, additional, Adebimpe, Azeez, additional, Vogelstein, Joshua T., additional, Yan, Chao-Gan, additional, Esteban, Oscar, additional, Poldrack, Russell A., additional, Craddock, Cameron, additional, Fair, Damien, additional, Satterthwaite, Theodore, additional, Kiar, Gregory, additional, and Milham, Michael P., additional
- Published
- 2021
- Full Text
- View/download PDF
8. The impact of customized head molds on motion and motion-related artifacts from structural and functional MRI scans in children
- Author
-
Jessica A. Church, Craddock Rc, Tehila Nugiel, Michael R. Haberman, Vela Rd, Simon B, Lucy B. Whitmore, Wade Weber, Samuel D. Parker, Kathryn L. Mills, Timothy B. Weng, Dodla M, Damion V. Demeter, and Anibal Sólon Heinsfeld
- Subjects
medicine.medical_specialty ,education.field_of_study ,Resting state fMRI ,business.industry ,Population ,Brain Structure and Function ,Motion (physics) ,Physical medicine and rehabilitation ,Neuroimaging ,Sample size determination ,Data quality ,medicine ,Head (vessel) ,education ,business - Abstract
Although neuroimaging provides powerful tools for assessing brain structure and function, their utility for elucidating mechanisms underlying neuropsychiatric disorders is limited by their sensitivity to head motion. Several publications have shown that standard retrospective motion correction and arduous quality assessment are insufficient to fully remove the deleterious impacts of motion on functional (fMRI) and structural (sMRI) neuroimaging data. These residual errors tend to be correlated with age and clinical diagnosis, resulting in artifactual findings in studies of clinical, developmental, and aging populations. As such there is a continued need to explore and evaluate novel methods for reducing head motion, and their applicability in these populations. Recently, a custom-fitted styrofoam head mold was reported to reduce motion across a range of ages, mostly adolescents, during a resting state fMRI scan.In the present study, we tested the efficacy of these head molds in a sample exclusively of young children (N = 19; mean age = 7.9 years) including those with ADHD (N = 6). We evaluated the head mold’s impact on head motion, data quality, and analysis results derived from the data. Importantly, we also evaluated whether the head molds were tolerated by our population. We also assessed the extent to which the head mold’s efficacy was related to anxiety levels and ADHD symptoms. In addition to fMRI, we examined the head mold’s impact on sMRI by using a specialized sequence with embedded volumetric navigators (vNAV) to determine head motion during sMRI. We evaluated the head mold’s impact on head motion, data quality, and analysis results derived from the data. Additionally, we conducted acoustic measurements and analyses to determine the extent to which the head mold reduced the noise dosage from the scanner. We found that some individuals benefited while others did not improve significantly. One individual’s sMRI motion was made worse by the head mold. We were unable to identify predictors of the head mold response due to the smaller sample size. The head molds were tolerated well by young children, including those with ADHD, and they provided ample hearing protection. Although the head mold was not a universal solution for reducing head motion and improving data quality, we believe the time and cost required for using the head mold may outweigh the potential loss of data from excessive head motion for developmental studies.
- Published
- 2021
9. Ten simple rules for open human health research
- Author
-
Irene V. Pasquetto, Felix Schoeller, Aki Nikolaidis, Kathy L. Hudson, Célya Gruson-Daniel, Anirudh Krishnakumar, Anibal Sólon Heinsfeld, Jason Bobe, John A. Naslund, François Taddei, Jon Clucas, Arno Klein, Matthieu Schapira, Dusan Misevic, Tohar Scheininger, Camille Nebeker, Pattie Pramila Gonsalves, Anna McCollister-Slipp, Ariel B. Lindner, Gabriela Sanchez, Aïda Bafeta, Centre de Recherche Interdisciplinaire / Center for Research and Interdisciplinarity [Paris, France] (CRI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Institute for Next Generation Healthcare [New York, NY, États-Unis] (INGH), Child Mind Institute, Sangath [New Delhi, Inde], Connaissance Organisation et Systèmes TECHniques (COSTECH), Université de Technologie de Compiègne (UTC), Université Laval [Québec] (ULaval), Hudson Works LLC [Washington, DC, États-Unis], Four Lights Consulting LLC [Washington, DC, États-Unis], Harvard Medical School [Boston] (HMS), University of California [San Diego] (UC San Diego), University of California, Harvard University [Cambridge], University of Geneva [Switzerland], University of Toronto, Thanks to the Bettencourt Schueller Foundation long term partnership, the workshop that gave rise to this work was partly supported by CRI Research Advanced Workshop Program., Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), University of California (UC), Université de Genève = University of Geneva (UNIGE), and Bodescot, Myriam
- Subjects
Research design ,Open science ,Science and Technology Workforce ,Biomedical Research ,Epidemiology ,[SDV.NEU.PC] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior ,Social Sciences ,Careers in Research ,Research Ethics ,0302 clinical medicine ,Open Science ,Sociology ,Medicine and Health Sciences ,Biology (General) ,ComputingMilieux_MISCELLANEOUS ,Research Integrity ,Simple (philosophy) ,0303 health sciences ,Ecology ,[SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior ,Software Engineering ,Social Communication ,Research Assessment ,Reproducibility ,Professions ,Editorial ,Computational Theory and Mathematics ,Social Networks ,Publishing ,Research Design ,Modeling and Simulation ,Engineering and Technology ,Network Analysis ,Computer and Information Sciences ,QH301-705.5 ,Science Policy ,Information Dissemination ,MEDLINE ,Research and Analysis Methods ,Ethics, Research ,Computer Software ,03 medical and health sciences ,Cellular and Molecular Neuroscience ,Genetics ,Humans ,Social media ,Molecular Biology ,Ecology, Evolution, Behavior and Systematics ,030304 developmental biology ,Research ethics ,business.industry ,Data science ,Communications ,Medical Risk Factors ,People and Places ,Scientists ,Population Groupings ,business ,Social Media ,030217 neurology & neurosurgery - Abstract
International audience
- Published
- 2020
10. Ten simple rules for open human health research
- Author
-
Bafeta, Aïda, primary, Bobe, Jason, additional, Clucas, Jon, additional, Gonsalves, Pattie Pramila, additional, Gruson-Daniel, Célya, additional, Hudson, Kathy L., additional, Klein, Arno, additional, Krishnakumar, Anirudh, additional, McCollister-Slipp, Anna, additional, Lindner, Ariel B., additional, Misevic, Dusan, additional, Naslund, John A., additional, Nebeker, Camille, additional, Nikolaidis, Aki, additional, Pasquetto, Irene, additional, Sanchez, Gabriela, additional, Schapira, Matthieu, additional, Scheininger, Tohar, additional, Schoeller, Félix, additional, Sólon Heinsfeld, Anibal, additional, and Taddei, François, additional
- Published
- 2020
- Full Text
- View/download PDF
11. Brainhack: Developing a culture of open, inclusive, community-driven neuroscience
- Author
-
Selim Melvin Atay, Iska Moxon-Emre, Anders Eklund, Paula P. Brooks, Nandita Vijayakumar, Anibal Sólon Heinsfeld, Jean-Baptiste Poline, Yaroslav O. Halchenko, David Meunier, Daniela M. Hohmann, Martin Szinte, Arshitha Basavaraj, Andrija Štajduhar, Link Tejavibulya, Michael Dayan, Anisha Keshavan, Chao Jiang, Felix Hoffstaedter, Michael P. Milham, Davide Momi, Hua Xie, Ai Wern Chung, Georg Langs, Hao-Ting Wang, Xenia Kobeleva, Robert Oostenveld, Thomas G. Close, Lena Dorfschmidt, Jesse A. Brown, Serge Koudoro, J.P. Manzano-Patron, Isil P. Bilgin, Shreyas Fadnavis, Sylvain Takerkart, R. Cameron Craddock, Stephan Heunis, Scott Peltier, Kathryn Berluti, Hayli Spence, Pablo F. Damasceno, David H. O’Connor, Eleftherios Garyfallidis, Eugene P. Duff, Rudolph Pienaar, Nicolas Traut, AmanPreet Badhwar, Ali R. Khan, Marissa Laws, Abigail S. Greene, Richard A. I. Bethlehem, Angela R. Laird, Krista DeStasio, Ina Thome, Camille Maumet, Alexandru D. Iordan, P. Christiaan Klink, Damion V. Demeter, John A. Onofrey, Cassandra D. Gould van Praag, Jakub Vohryzek, Suzanne T. Witt, Aysha Motala, Valerie Hayot-Sasson, Geetika Gupta, Alexandre Rosa Franco, John W. VanMeter, Michel Thiebaut de Schotten, James M. Shine, Lucina Q. Uddin, Thomas S. Hartmann, Guillaume Flandin, Clara Moreau, Tomislav Lipic, Claire Bradley, Fernando A. Barrios, Daniel S. Margulies, R. Austin Benn, Sofie Van Den Bossche, Lydia Riedl, Xihe Xie, Christopher R. Madan, Roberto Toro, Viviana Siless, Fabrizio De Vico Fallani, Nikoloz Sirmpilatze, Emily Olafson, Anqi Qiu, Theresa W. Cheng, Valentina Borghesani, Sidhant Chopra, Claire Cury, Giorgio Marinato, Horea-Ioan Ioanas, Giorgia Cona, Michael Joseph, Angela Tam, Mathias Scharinger, Daniel A. Handwerker, Katherine L. Bottenhorn, Sina Mansour L, Kathryn L. Mills, Christopher J. Markiewicz, Elizabeth Levitis, Cyril Pernet, Stephanie J. Forkel, Agah Karakuzu, Edwina R Orchard, Sarah L. Dziura, Saige Rutherford, Kamalaker Dadi, Enrico Glerean, Desiree Lussier, Davide Poggiali, Molly Simmonite, Jason Kai, Jessica Flannery, Ting Xu, Jon Haitz Legarreta, Nasim Anousheh, Marco Bedini, Tristan Glatard, Thomas E. Nichols, Joscelin Rocha-Hidalgo, Erin W. Dickie, Dipankar Bachar, Malin Sandström, Xi-Nian Zuo, Pedro Pinheiro-Chagas, Laura C. Rice, Jakša Vukojević, Javier Gonzalez-Castillo, José C. García Alanis, Lorenzo Pasquini, Yu-Fang Yang, Matteo Mancini, Deena Shariq, Chao-Gan Yan, Laura Tomaz da Silva, César Caballero-Gaudes, Yasmine Bassil, Aurina Arnatkeviciute, Dustin Scheinost, Satrajit S. Ghosh, Gaël Varoquaux, Etienne Combrisson, Bramsh Qamar Chandio, Kelly Garner, Tiago Quendera, Patrick Friedrich, Shawn A. Rhoads, Roxane Licandro, Elizabeth DuPre, Aki Nikolaidis, Simon Schwab, Stephanie Noble, Guillaume Auzias, Daniel J. Lurie, Mahboobeh Parsapoor, Eneko Uruñuela, Andrew Doyle, Peer Herholz, Saampras Ganesan, Vincent Koppelmans, Corey Horien, Samir Das, Junaid S. Merchant, Siyuan Gao, Matheus Marcon, Nathalia Bianchini Esper, B.T. Thomas Yeo, Katja Heuer, Caroline O’Brien, Micaela Y. Chan, Sook-Lei Liew, Lindsay D. Oliver, Kirstie Whitaker, Christoph Vogelbacher, Dylan M. Nielson, Krisanne Litinas, Dorien C. Huijser, Pierre Bellec, R. Todd Constable, David N. Kennedy, Julia Sprenger, Lea-Theresa Mais, Oscar Esteban, Patrick J. Park, Patrick Callahan, Christopher R. Nolan, Johanna Bayer, Guillaume Dumas, Elise Bannier, Elizabeth A. McDevitt, Ariel Rokem, Samuel A. Nastase, Olivia W. Stanley, Ruggero Basanisi, Daniele Marinazzo, Gregory Kiar, Lisa Novello, Samuel Guay, John C. Flournoy, Stefano Moia, Kendra Oudyk, Fang-Cheng Yeh, Gustav Nilsonne, Thomas B. Shaw, Steve Wideman, Saskia Bollmann, Steffen Bollmann, Julia M. Huntenburg, Augusto Buchweitz, Matteo Visconti di Oleggio Castello, Dimitra Maoutsa, Lucy B. Whitmore, Catherine Alice Hahn, Antonino Vallesi, Remi Gau, Felipe Meneguzzi, Université Catholique de Louvain = Catholic University of Louvain (UCL), Yale University [New Haven], Max Planck Institute for Human Cognitive and Brain Sciences [Leipzig] (IMPNSC), Max-Planck-Gesellschaft, Florida International University [Miami] (FIU), University of Reading (UOR), University of Würzburg, Champalimaud Centre for the Unknown [Lisbon], University of Melbourne, University of Cambridge [UK] (CAM), Georgetown University [Washington] (GU), Philipps Universität Marburg = Philipps University of Marburg, Université de Montréal (UdeM), University College of London [London] (UCL), University of Sussex, Universiteit Gent = Ghent University (UGENT), German Research Center for Neurodegenerative Diseases - Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Université de Sherbrooke (UdeS), Middle East Technical University [Ankara] (METU), McGill University = Université McGill [Montréal, Canada], Modelling brain structure, function and variability based on high-field MRI data (PARIETAL), Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Universiteit Leiden, Karolinska Institutet [Stockholm], Princeton University, Universität Zürich [Zürich] = University of Zurich (UZH), University of the Basque Country/Euskal Herriko Unibertsitatea (UPV/EHU), University medical center and campus biotech Geneva, Emory University [Atlanta, GA], Cardiff University's Brain Research Imaging Centre [Cardiff] (CUBRIC), School of Psychology [Cardiff University], Cardiff University-Cardiff University, The University of Sydney, Weill Cornell Medicine [Cornell University], Cornell University [New York], Università degli Studi di Padova = University of Padua (Unipd), Jülich Research Centre, University of Texas at Austin [Austin], Institut Pasteur [Paris] (IP), Centre de Recherche Interdisciplinaire / Center for Research and Interdisciplinarity [Paris, France] (CRI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Basque Center on Cognition Brain and Language [Gipuzkoa, Espagne] (BCBL), Linköping University (LIU), University of Queensland [Brisbane], University of New South Wales [Sydney] (UNSW), Universidad Nacional Autónoma de México = National Autonomous University of Mexico (UNAM), University of Maryland [College Park], University of Maryland System, University of Washington [Seattle], Harvard Medical School [Boston] (HMS), Child Mind Institute, University of Western Ontario (UWO), Indiana University [Bloomington], Indiana University System, Monash university, Institut de Neurosciences de la Timone (INT), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Neuroimagerie: méthodes et applications (Empenn), Institut National de la Santé et de la Recherche Médicale (INSERM)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE (IRISA-D5), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), National Institute of Mental Health (NIMH), Università degli Studi di Trento (UNITN), Centro Nacional de Investigaciones Cardiovasculares Carlos III [Madrid, Spain] (CNIC), Instituto de Salud Carlos III [Madrid] (ISC), Queensland University of Technology [Brisbane] (QUT), University of California [San Francisco] (UC San Francisco), University of California (UC), Universidade Federal do Rio Grande do Sul [Porto Alegre] (UFRGS), University of Texas at Dallas [Richardson] (UT Dallas), University of Oregon [Eugene], Monash University [Melbourne], Boston Children's Hospital, Algorithms, models and methods for images and signals of the human brain (ARAMIS), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), Neuroimagerie: méthodes et applications (EMPENN), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-SIGNAL, IMAGE ET LANGAGE (IRISA-D6), Chinese Academy of Sciences [Beijing] (CAS), Beijing Normal University (BNU), This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 867458 awarded to Julia M. Huntenburg, from ANR-19-DATA-0025 NeuroWebLab for Katja Heuer, Roberto Toro, and Nicholas Traut, and from NIH K00MH122372 for Stephanie Noble., Brainhack Community: Nasim Anousheh, Aurina Arnatkeviciute, Guillaume Auzias, Dipankar Bachar, Elise Bannier, Ruggero Basanisi, Arshitha Basavaraj, Marco Bedini, Pierre Bellec, R Austin Benn, Kathryn Berluti, Steffen Bollmann, Saskia Bollmann, Claire Bradley, Jesse Brown, Augusto Buchweitz, Patrick Callahan, Micaela Y Chan, Bramsh Q Chandio, Theresa Cheng, Sidhant Chopra, Ai Wern Chung, Thomas G Close, Etienne Combrisson, Giorgia Cona, R Todd Constable, Claire Cury, Kamalaker Dadi, Pablo F Damasceno, Samir Das, Fabrizio De Vico Fallani, Krista DeStasio, Erin W Dickie, Lena Dorfschmidt, Eugene P Duff, Elizabeth DuPre, Sarah Dziura, Nathalia B Esper, Oscar Esteban, Shreyas Fadnavis, Guillaume Flandin, Jessica E Flannery, John Flournoy, Stephanie J Forkel, Alexandre R Franco, Saampras Ganesan, Siyuan Gao, José C García Alanis, Eleftherios Garyfallidis, Tristan Glatard, Enrico Glerean, Javier Gonzalez-Castillo, Cassandra D Gould van Praag, Abigail S Greene, Geetika Gupta, Catherine Alice Hahn, Yaroslav O Halchenko, Daniel Handwerker, Thomas S Hartmann, Valérie Hayot-Sasson, Stephan Heunis, Felix Hoffstaedter, Daniela M Hohmann, Corey Horien, Horea-Ioan Ioanas, Alexandru Iordan, Chao Jiang, Michael Joseph, Jason Kai, Agah Karakuzu, David N Kennedy, Anisha Keshavan, Ali R Khan, Gregory Kiar, P Christiaan Klink, Vincent Koppelmans, Serge Koudoro, Angela R Laird, Georg Langs, Marissa Laws, Roxane Licandro, Sook-Lei Liew, Tomislav Lipic, Krisanne Litinas, Daniel J Lurie, Désirée Lussier, Christopher R Madan, Lea-Theresa Mais, Sina Mansour L, J P Manzano-Patron, Dimitra Maoutsa, Matheus Marcon, Daniel S Margulies, Giorgio Marinato, Daniele Marinazzo, Christopher J Markiewicz, Camille Maumet, Felipe Meneguzzi, David Meunier, Michael P Milham, Kathryn L Mills, Davide Momi, Clara A Moreau, Aysha Motala, Iska Moxon-Emre, Thomas E Nichols, Dylan M Nielson, Gustav Nilsonne, Lisa Novello, Caroline O'Brien, Emily Olafson, Lindsay D Oliver, John A Onofrey, Edwina R Orchard, Kendra Oudyk, Patrick J Park, Mahboobeh Parsapoor, Lorenzo Pasquini, Scott Peltier, Cyril R Pernet, Rudolph Pienaar, Pedro Pinheiro-Chagas, Jean-Baptiste Poline, Anqi Qiu, Tiago Quendera, Laura C Rice, Joscelin Rocha-Hidalgo, Saige Rutherford, Mathias Scharinger, Dustin Scheinost, Deena Shariq, Thomas B Shaw, Viviana Siless, Molly Simmonite, Nikoloz Sirmpilatze, Hayli Spence, Julia Sprenger, Andrija Stajduhar, Martin Szinte, Sylvain Takerkart, Angela Tam, Link Tejavibulya, Michel Thiebaut de Schotten, Ina Thome, Laura Tomaz da Silva, Nicolas Traut, Lucina Q Uddin, Antonino Vallesi, John W VanMeter, Nandita Vijayakumar, Matteo Visconti di Oleggio Castello, Jakub Vohryzek, Jakša Vukojević, Kirstie Jane Whitaker, Lucy Whitmore, Steve Wideman, Suzanne T Witt, Hua Xie, Ting Xu, Chao-Gan Yan, Fang-Cheng Yeh, B T Thomas Yeo, Xi-Nian Zuo, ANR-19-DATA-0025,NeuroWebLab,Un laboratoire de neuroscience collectif: Au delà de FAIR(2019), European Project: 867458,LC-FMR, Maumet, Camille, Un laboratoire de neuroscience collectif: Au delà de FAIR - - NeuroWebLab2019 - ANR-19-DATA-0025 - DONNEES - VALID, Brainhack: Developing a culture of open, inclusive, community-driven neuroscience - LC-FMR - 867458 - INCOMING, Leiden University, Weill Cornell Medicine [New York], Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPC), Universiteit Gent = Ghent University [Belgium] (UGENT), University Hospital Bonn, Sherbrooke Connectivity Imaging Lab [Sherbrooke] (SCIL), Département d'informatique [Sherbrooke] (UdeS), Faculté des sciences [Sherbrooke] (UdeS), Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS)-Faculté des sciences [Sherbrooke] (UdeS), Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS), Videos and Images Theory and Analytics Laboratory (VITAL), Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Service NEUROSPIN (NEUROSPIN), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Erasmus University Rotterdam, Origami (Origami), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), Princeton Neuroscience Institute [Princeton], Human Neuroscience Platform, Brighton and Sussex Medical School (BSMS), Azienda Ospedale Università di Padova = Hospital-University of Padua (AOUP), Institute of Neuroscience and Medicine [Jülich] (INM-1), Département de Neuroscience - Department of Neuroscience, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPC), Queensland Brain Institute, Universidad Nacional Autónoma de México (UNAM), Radboud university [Nijmegen], McGovern Institute for Brain Research [Cambridge], Massachusetts Institute of Technology (MIT), The Brainhack Community - https://pubmed.ncbi.nlm.nih.gov/33932337, Philipps University of Marburg, University of the Basque Country [Bizkaia] (UPV/EHU), Universita degli Studi di Padova, Philipps Universität Marburg, Institut Pasteur [Paris], Empenn, Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-CentraleSupélec-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), University of California [San Francisco] (UCSF), University of California, Geochemistry, and University of Padova [Padova, Italy]
- Subjects
0301 basic medicine ,Open science ,Community building ,Best practice ,Neuroscience(all) ,Brainhack ,Article ,neuroscience ,03 medical and health sciences ,0302 clinical medicine ,best practices ,collaboration ,community building ,hackathon ,inclusivity ,open science ,reproducibility ,training ,Congresses as Topic ,Neurosciences ,Practice Guidelines as Topic ,Communication ,Internet ,Research community ,Medical Bioscience ,Psychology ,ddc:610 ,Sociology ,Brainhack Community ,Training ,Neurology & Neurosurgery ,Scientific progress ,organization & administration [Neurosciences] ,General Neuroscience ,[SCCO.NEUR]Cognitive science/Neuroscience ,[SCCO.NEUR] Cognitive science/Neuroscience ,Medicinsk biovetenskap ,030104 developmental biology ,[SDV.IB]Life Sciences [q-bio]/Bioengineering ,Cognitive Sciences ,Engineering ethics ,030217 neurology & neurosurgery - Abstract
Available online 30 April 2021. Brainhack is an innovative meeting format that promotes scientific collaboration and education in an open, inclusive environment. This NeuroView describes the myriad benefits for participants and the research community and how Brainhacks complement conventional formats to augment scientific progress. The present manuscript is part of a growing community effort to collate Brainhack-related insights and expertise into a Jupyter Book (http://brainhack.org/brainhack_jupyter_book/) that will serve as a centralized set of resources for the community; we acknowledge all the individuals who contributed and will make ongoing contributions to these resources. A pre-print version of the present manuscript is available as part of the Jupyter Book. Moreover, we would like to acknowledge all Brainhack organizers, supporters, presenters, and participants for their contribution to growing and maintaining this community. The benefits described in this manuscript would not be possible without them. We also thank all institutions, labs, and organizations who have helped this community grow, meet in stimulating environments, and add an excellent educational resource pool and agenda. With an expanding community, Brainhack’s support network keeps growing, and we thank all labs and individual researchers for their dedication and expertise offered to this community (see http://brainhack.org/brainhack_jupyter_book/acknowledgments.html for a full list of individual acknowledgments; an updated list will be maintained in the Jupyter Book). Grants and funding bodies: This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 867458 awarded to Julia M. Huntenburg; from ANR-19-DATA-0025 NeuroWebLab for Katja Heuer, Roberto Toro, and Nicholas Traut; and from NIH K00MH122372 for Stephanie Noble. The Brainhack Community member list and contributions of the different authors are detailed at http://brainhack.org/brainhack_jupyter_book/contributors.html. Our crediting system is described here: http://brainhack.org/brainhack_jupyter_book/neuroview_authorship-agreement.html.
- Published
- 2021
12. Bagging improves reproducibility of functional parcellation of the human brain
- Author
-
Joshua T. Vogelstein, Michael P. Milham, Aki Nikolaidis, Ting Xu, Anibal Sólon Heinsfeld, and Pierre Bellec
- Subjects
Parcellation ,Computer science ,Cognitive Neuroscience ,Bootstrap aggregating ,Cognitive neuroscience ,Article ,050105 experimental psychology ,lcsh:RC321-571 ,03 medical and health sciences ,Functional brain ,0302 clinical medicine ,Neuroimaging ,Functional neuroimaging ,Bagging ,Image Processing, Computer-Assisted ,medicine ,Humans ,0501 psychology and cognitive sciences ,Cluster ensembles ,Cluster analysis ,lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry ,Reliability (statistics) ,Brain Mapping ,Reproducibility ,business.industry ,Functional Neuroimaging ,05 social sciences ,Brain ,Pattern recognition ,Human brain ,Reliability ,Magnetic Resonance Imaging ,medicine.anatomical_structure ,Neurology ,Sample size determination ,Artificial intelligence ,business ,Biomarkers ,030217 neurology & neurosurgery - Abstract
Developing methods that increase the reproducibility and reliability of neuroimaging measurement is an important challenge in clinical and cognitive neuroscience neuroimaging. One particular area of importance is estimation of functional areal organization, often studied through functional parcellation of the brain. Functional areal organization shows substantial variance across individuals, and creating more reproducible and reliable functional areal parcellations would allow for more generalizable estimates of brain organization. We apply bootstrap aggregation, or bagging, to the problem of improving reproducibility in functional parcellation. We use two test-retest datasets, one of 30 young adults scanned 10 times for ten minutes per scan, and another of 300 young adults scanned twice for six minutes per scan, to demonstrate that bagging provides functional parcellations with higher reproducibility and reliability compared to non-bagged functional parcellation. While increasing scan length and sample size have been regarded as the main methods of improving robustness of estimating functional organization, our results demonstrate that bagging can be used to boost the robustness of functional parcellation with as little as five minutes of scan time in as few as thirty subjects. These results imply bagging can be used to improve the robustness in acquisitions with a short scan time, which is commonplace in many established and ongoing studies and open source datasets. By testing an array of different reproducibility metrics, datasets, cluster levels, and acquisition lengths, we show where bagging can improve the reproducibility and reliability of functional parcellations. Overall, it seems that the use of this approach is beneficial in creating more reproducible clusters, and bagging should be applied when reproducibility of functional parcellations are under consideration.
- Published
- 2020
13. Detecting task-based fMRI compliance using plan abandonment techniques
- Author
-
Ramon Fraga Pereira, Felipe Meneguzzi, Alexandre Rosa Franco, Anibal Sólon Heinsfeld, and Augusto Buchweitz
- Subjects
0301 basic medicine ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,Computer science ,Abandonment (emotional) ,Health Informatics ,Operations management ,Plan (drawing) ,030217 neurology & neurosurgery ,Computer Science Applications ,Compliance (psychology) ,Task (project management) - Published
- 2016
14. NeuroView: a customizable browser-base utility
- Author
-
Felipe Meneguzzi, Anibal Sólon Heinsfeld, Augusto Buchweitz, and Alexandre Rosa Franco
- Subjects
03 medical and health sciences ,0302 clinical medicine ,Database ,Computer science ,05 social sciences ,0501 psychology and cognitive sciences ,Health Informatics ,computer.software_genre ,Base (topology) ,computer ,030217 neurology & neurosurgery ,050105 experimental psychology ,Computer Science Applications - Published
- 2016
15. Brainhack: A collaborative workshop for the open neuroscience community
- Author
-
Caroline Froehlich, David H. O’Connor, Robert C. Welsh, Sook-Lei Liew, Katharine Dunlop, Angela R. Laird, Yonggang Shi, Satrajit S. Ghosh, John W. Van Meter, Pierre-Olivier Quirion, Lucina Q. Uddin, R. Matthew Hutchison, Pierre Bellec, Salma Mesmoudi, Christopher J. Cannistraci, Maarten Mennes, Jonathan Downar, Sebastien Dery, Donald G. McLaren, Ariel Rokem, Prantik Kundu, Daniel S. Margulies, Fernando A. Barrios, Alexandre Rosa Franco, Ramon Fraga Pereira, Andrew J. Gerber, B. Nolan Nichols, R. Cameron Craddock, Erick H. Pasaye, Ziad S. Saad, Felipe Meneguzzi, Benjamin De Leener, Thomas J. Grabowski, Sean Hill, Sarael Alcauter, Julien Cohen-Adad, Daniel J. Lurie, Gautam Prasad, Roberto Toro, Ting Xu, John D. Van Horn, Yves Burnod, Anibal Sólon Heinsfeld, Jean-Baptiste Poline, Scott Peltier, Stephen C. Strother, Nathan S. Kline Institute for Psychiatric Research (NKI), New York State Office of Mental Health, Child Mind Institute, The Neuro Bureau [Leipzig], Max Planck Institute for Human Cognitive and Brain Sciences [Leipzig] (IMPNSC), Max-Planck-Gesellschaft, Université de Montréal (UdeM), Centre de recherche de l'Institut universitaire de gériatrie de Montreal (CRIUGM), Silsoe Research Institute (SRI), Biotechnology and Biological Sciences Research Council, Stanford University, Universidad Nacional Autónoma de México (UNAM), Laboratoire d'Imagerie Biomédicale (LIB), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC), Institut des Systèmes Complexes - Paris Ile-de-France (ISC-PIF), École normale supérieure - Cachan (ENS Cachan)-Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut Curie [Paris]-École polytechnique (X), Icahn School of Medicine at Mount Sinai [New York] (MSSM), École Polytechnique de Montréal (EPM), McGill University = Université McGill [Montréal, Canada], University Health Network, University of Toronto, Pontifícia Universidade Católica do Rio Grande do Sul [Porto Alegre] (PUCRS), New York State Psychiatric Institute, Columbia University [New York], McGovern Institute for Brain Research [Cambridge], Massachusetts Institute of Technology (MIT), Harvard Medical School [Boston] (HMS), University of Washington [Seattle], International Neuroinformatics Coordinating Facility, Karolinska Institutet [Stockholm], Harvard University [Cambridge], Florida International University [Miami] (FIU), University of Southern California (USC), Lawrence Berkeley National Laboratory [Berkeley] (LBNL), Biospective [Montréal], Massachusetts General Hospital [Boston], Donders Institute for Brain, Cognition and Behaviour, Radboud university [Nijmegen], MATRICE Project (ISC-PIF), Sorbonnes university Paris 1, University of Michigan [Ann Arbor], University of Michigan System, The Helen Wills Neuroscience Institute (HWNI), University of California [Berkeley], University of California-University of California, Keck School of Medicine [Los Angeles], eScience Institute Seattle, National Institute of mental health , Bethesda, Rotman Research Institute at the Baycrest Centre (RRI), Génétique humaine et fonctions cognitives - Human Genetics and Cognitive Functions (GHFC (UMR_3571 / U-Pasteur_1)), Institut Pasteur [Paris]-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Miami University, Miami University [Ohio] (MU), University of Miami Leonard M. Miller School of Medicine (UMMSM), Georgetown University Medical Center, We would also like to thank our sponsors, whose funds have been used to enrich the educational experience at Brainhack and have provided travel support for attendees. These include (in alphabetical order): Allen Institute for Brain Science (OHBM 2013), Amazon Web Services (OHBM 2013, OHBM 2014, Boston 2014, Brainhack AMX 2015), Athinoula A. Martinos Center for Biomedical Imaging (Boston 2014), Child Mind Institute, Inc. (NYC 2014, NYC 2015, MX 2015), FIU Division of Research (Miami 2014), Frontiers (OHBM 2014), Frontiers in Neuroscience (OHBM 2013), International Neuroinformatics Coordinating Facility (OHBM 2013, OHBM 2014, OHBM 2015, MX 2015), MATRICE (Paris 2013), Max Planck Institute for Cognitive and Brain Sciences (Leipzig 2012), Microsoft Azure (OHBM 2015), NIH BD2K Center (1U54EB020406-01) Big Data for Discovery Science (USC, PI: Toga, LA 2015), NIH BD2K Center (1U54EB020403-01) Enigma Center for Worldwide Medicine, Imaging, and Genomics (USC, PI: Thompson, LA 2015), NIH BD2K Supplement for NCANDA (3U01AA021697-04S1) and NCANDA: Data Analysis Component (5U01AA021697-04) (SRI International, PI: Pohl, OHBM2015, MX 2015), Organization for Human Brain Mapping (OHBM 2013, OHBM 2014, OHBM 2015), Ontario Brain Institute (Toronto 2014), Quebec Bio-Imaging Network (MTL 2014, MTL 2015), Siemens (Paris 2013), and University of Miami Flipse Funds (Miami 2015).References, HAL UPMC, Gestionnaire, Biotechnology and Biological Sciences Research Council (BBSRC), Universidad Nacional Autónoma de México = National Autonomous University of Mexico (UNAM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Cachan (ENS Cachan)-Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-Université Pierre et Marie Curie - Paris 6 (UPMC)-École polytechnique (X)-Institut Curie [Paris]-Centre National de la Recherche Scientifique (CNRS), Pontifical Catholic University of Rio Grande do Sul (PUC-RS), Radboud University [Nijmegen], Université Paris 1 Panthéon-Sorbonne (UP1), University of California [Berkeley] (UC Berkeley), University of California (UC)-University of California (UC), Institut Pasteur [Paris] (IP)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), McGovern Institute for Brain Research at MIT, Ghosh, Satrajit S., Laboratoire d'Imagerie Biomédicale [Paris] (LIB), Harvard University, and ANR-16-EQPX-0003,Matrice - 13 novembre,Matrice - 13 novembre(2016)
- Subjects
0301 basic medicine ,Open science ,Biomedical Research ,Computer science ,International Cooperation ,Health Informatics ,Review ,Education ,03 medical and health sciences ,Networking ,0302 clinical medicine ,Humans ,[SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] ,Cooperative Behavior ,Hackathon ,Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] ,Neurosciences ,220 Statistical Imaging Neuroscience ,Brain ,Computational Biology ,Congresses as Topic ,Unconference ,Data science ,Collaboration ,Research Personnel ,Computer Science Applications ,Data sharing ,030104 developmental biology ,[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] ,Neuroscience ,030217 neurology & neurosurgery - Abstract
Contains fulltext : 167121.pdf (Publisher’s version ) (Open Access) Brainhack events offer a novel workshop format with participant-generated content that caters to the rapidly growing open neuroscience community. Including components from hackathons and unconferences, as well as parallel educational sessions, Brainhack fosters novel collaborations around the interests of its attendees. Here we provide an overview of its structure, past events, and example projects. Additionally, we outline current innovations such as regional events and post-conference publications. Through introducing Brainhack to the wider neuroscience community, we hope to provide a unique conference format that promotes the features of collaborative, open science.
- Published
- 2016
16. Design educacional e material didático impresso para educação a distância: um breve panorama
- Author
-
Bruna Damiana de Sá Sólon Heinsfeld and Ana Lucia Pena
- Subjects
educação a distância ,design educacional ,material didático impresso ,Theory and practice of education ,LB5-3640 - Abstract
Resumo: No contexto da educação a distância, o material didático impresso (MDI) constitui uma das principais mídias utilizadas no processo de ensino e aprendizagem no Brasil. Contudo, também figura como um dos mecanismos didáticos com piores índices nas avaliações discentes. A partir dessas questões, analisa-se o desenvolvimento do MDI, com base no estudo do corpus, investigando as nuances do design educacional e seus componentes: objetivos de aprendizagem, seções temáticas, atividades, linguagem e imagens. Ratificando a análise, obtêm-se as impressões dos alunos usuários do material acerca desses elementos, a partir de questionário estruturado. Os trabalhos de Barreto et al. (2007), Barreto (2012), Filatro (2009), Filatro e Cairo (2015) e Preti (2010) são utilizados como subsídios teóricos relacionados ao design educacional. Embora demande adequações aos estudos recentes, o corpus selecionado se mostrou satisfatório quanto à experiência de aprendizagem.
- Full Text
- View/download PDF
17. Brainhack: a collaborative workshop for the open neuroscience community
- Author
-
Cameron Craddock, R., S. Margulies, Daniel, Bellec, Pierre, Nolan Nichols, B., Alcauter, Sarael, A. Barrios, Fernando, Burnod, Yves, J. Cannistraci, Christopher, Cohen-Adad, Julien, De Leener, Benjamin, Dery, Sebastien, Downar, Jonathan, Dunlop, Katharine, R. Franco, Alexandre, Seligman Froehlich, Caroline, J. Gerber, Andrew, S. Ghosh, Satrajit, J. Grabowski, Thomas, Hill, Sean, Sólon Heinsfeld, Anibal, Matthew Hutchison, R., Kundu, Prantik, R. Laird, Angela, Liew, Sook-Lei, J. Lurie, Daniel, G. McLaren, Donald, Meneguzzi, Felipe, Mennes, Maarten, Mesmoudi, Salma, O’Connor, David, H. Pasaye, Erick, Peltier, Scott, Poline, Jean-Baptiste, Prasad, Gautam, Fraga Pereira, Ramon, Quirion, Pierre-Olivier, Rokem, Ariel, S. Saad, Ziad, Shi, Yonggang, C. Strother, Stephen, Toro, Roberto, Q. Uddin, Lucina, D. Van Horn, John, W. Van Meter, John, C. Welsh, Robert, and Xu, Ting
- Subjects
Hackathon ,Unconference ,Open science ,Neuroscience ,Data sharing ,Collaboration ,Networking - Abstract
Brainhack events offer a novel workshop format with participant-generated content that caters to the rapidly growing open neuroscience community. Including components from hackathons and unconferences, as well as parallel educational sessions, Brainhack fosters novel collaborations around the interests of its attendees. Here we provide an overview of its structure, past events, and example projects. Additionally, we outline current innovations such as regional events and post-conference publications. Through introducing Brainhack to the wider neuroscience community, we hope to provide a unique conference format that promotes the features of collaborative, open science.
- Published
- 2016
- Full Text
- View/download PDF
18. 2015 Brainhack Proceedings
- Author
-
R. Cameron Craddock, Pierre Bellec, Daniel S. Margules, B. Nolan Nichols, Jörg P. Pfannmöller, AmanPreet Badhwar, David Kennedy, Jean-Baptiste Poline, Roberto Toro, Ben Cipollini, Ariel Rokem, Daniel Clark, Krzysztof J. Gorgolewski, Daniel J. Clark, Samir Das, Cécile Madjar, Ayan Sengupta, Zia Mohades, Sebastien Dery, Weiran Deng, Eric Earl, Damion V. Demeter, Kate Mills, Glad Mihai, Luka Ruzic, Nick Ketz, Andrew Reineberg, Marianne C. Reddan, Anne-Lise Goddings, Javier Gonzalez-Castillo, Caroline Froehlich, Gil Dekel, Daniel S. Margulies, Ben D. Fulcher, Tristan Glatard, Reza Adalat, Natacha Beck, Rémi Bernard, Najmeh Khalili-Mahani, Pierre Rioux, Marc-Étienne Rousseau, Alan C. Evans, Yaroslav O. Halchenko, Matteo Visconti di Oleggio Castello, Raúl Hernández-Pérez, Edgar A. Morales, Laura V. Cuaya, Kaori L. Ito, Sook-Lei Liew, Hans J. Johnson, Erik Kan, Julia Anglin, Michael Borich, Neda Jahanshad, Paul Thompson, Marcel Falkiewicz, Julia M. Huntenburg, David O’Connor, Michael P. Milham, Ramon Fraga Pereira, Anibal Sólon Heinsfeld, Alexandre Rosa Franco, Augusto Buchweitz, Felipe Meneguzzi, Rickson Mesquita, Luis C. T. Herrera, Daniela Dentico, Vanessa Sochat, Julio E. Villalon-Reina, and Eleftherios Garyfallidis
- Subjects
0301 basic medicine ,Geodesic ,Computer science ,Health Informatics ,Python (programming language) ,lcsh:Computer applications to medicine. Medical informatics ,Meeting Abstracts ,Computer Science Applications ,03 medical and health sciences ,030104 developmental biology ,Computer graphics (images) ,lcsh:R858-859.7 ,Cortical surface ,computer ,computer.programming_language - Abstract
Table of contents I1 Introduction to the 2015 Brainhack Proceedings R. Cameron Craddock, Pierre Bellec, Daniel S. Margules, B. Nolan Nichols, Jörg P. Pfannmöller A1 Distributed collaboration: the case for the enhancement of Brainspell’s interface AmanPreet Badhwar, David Kennedy, Jean-Baptiste Poline, Roberto Toro A2 Advancing open science through NiData Ben Cipollini, Ariel Rokem A3 Integrating the Brain Imaging Data Structure (BIDS) standard into C-PAC Daniel Clark, Krzysztof J. Gorgolewski, R. Cameron Craddock A4 Optimized implementations of voxel-wise degree centrality and local functional connectivity density mapping in AFNI R. Cameron Craddock, Daniel J. Clark A5 LORIS: DICOM anonymizer Samir Das, Cécile Madjar, Ayan Sengupta, Zia Mohades A6 Automatic extraction of academic collaborations in neuroimaging Sebastien Dery A7 NiftyView: a zero-footprint web application for viewing DICOM and NIfTI files Weiran Deng A8 Human Connectome Project Minimal Preprocessing Pipelines to Nipype Eric Earl, Damion V. Demeter, Kate Mills, Glad Mihai, Luka Ruzic, Nick Ketz, Andrew Reineberg, Marianne C. Reddan, Anne-Lise Goddings, Javier Gonzalez-Castillo, Krzysztof J. Gorgolewski A9 Generating music with resting-state fMRI data Caroline Froehlich, Gil Dekel, Daniel S. Margulies, R. Cameron Craddock A10 Highly comparable time-series analysis in Nitime Ben D. Fulcher A11 Nipype interfaces in CBRAIN Tristan Glatard, Samir Das, Reza Adalat, Natacha Beck, Rémi Bernard, Najmeh Khalili-Mahani, Pierre Rioux, Marc-Étienne Rousseau, Alan C. Evans A12 DueCredit: automated collection of citations for software, methods, and data Yaroslav O. Halchenko, Matteo Visconti di Oleggio Castello A13 Open source low-cost device to register dog’s heart rate and tail movement Raúl Hernández-Pérez, Edgar A. Morales, Laura V. Cuaya A14 Calculating the Laterality Index Using FSL for Stroke Neuroimaging Data Kaori L. Ito, Sook-Lei Liew A15 Wrapping FreeSurfer 6 for use in high-performance computing environments Hans J. Johnson A16 Facilitating big data meta-analyses for clinical neuroimaging through ENIGMA wrapper scripts Erik Kan, Julia Anglin, Michael Borich, Neda Jahanshad, Paul Thompson, Sook-Lei Liew A17 A cortical surface-based geodesic distance package for Python Daniel S Margulies, Marcel Falkiewicz, Julia M Huntenburg A18 Sharing data in the cloud David O’Connor, Daniel J. Clark, Michael P. Milham, R. Cameron Craddock A19 Detecting task-based fMRI compliance using plan abandonment techniques Ramon Fraga Pereira, Anibal Sólon Heinsfeld, Alexandre Rosa Franco, Augusto Buchweitz, Felipe Meneguzzi A20 Self-organization and brain function Jörg P. Pfannmöller, Rickson Mesquita, Luis C.T. Herrera, Daniela Dentico A21 The Neuroimaging Data Model (NIDM) API Vanessa Sochat, B Nolan Nichols A22 NeuroView: a customizable browser-base utility Anibal Sólon Heinsfeld, Alexandre Rosa Franco, Augusto Buchweitz, Felipe Meneguzzi A23 DIPY: Brain tissue classification Julio E. Villalon-Reina, Eleftherios Garyfallidis
- Full Text
- View/download PDF
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.