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Neuroscience

D-Index
97
Citations
60792
World Ranking
815
National Ranking
41

Overview

Jean-Baptiste Poline is affiliated with the Montreal Neurological Institute and Hospital in Canada. Their research primarily focuses on the field of Medicine, with extensive work in subfields including Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Information Systems and Management, and Information Systems.

The scientist's work covers a range of main topics such as Functional Brain Connectivity Studies, Advanced Neuroimaging Techniques and Applications, Advanced MRI Techniques and Applications, Scientific Computing and Data Management, Research Data Management Practices, Health, Environment, Cognitive Aging, and Cell Image Analysis Techniques.

Jean-Baptiste Poline has contributed to several recent papers, including:

  • DataLad: distributed system for joint management of code, data, and their relationship (2021) published in The Journal of Open Source Software
  • Open science datasets from PREVENT-AD, a longitudinal cohort of pre-symptomatic Alzheimer's disease (2021) published in NeuroImage Clinical
  • Micapipe: A pipeline for multimodal neuroimaging and connectome analysis (2022) published in NeuroImage
  • Preventing dataset shift from breaking machine-learning biomarkers (2021) published in GigaScience
  • The IMAGEN study: a decade of imaging genetics in adolescents (2020) published in Molecular Psychiatry

The frequent co-authors who have collaborated with Jean-Baptiste Poline include:

  • Yaroslav O. Halchenko
  • Tristan Glatard
  • Christopher J. Markiewicz
  • Michael Hanke
  • Nikhil Bhagwat

Poline's publications appear regularly in venues such as bioRxiv (Cold Spring Harbor Laboratory), Zenodo (CERN European Organization for Nuclear Research), arXiv (Cornell University), GigaScience, and Aperture Neuro.

In addition to journal articles, Jean-Baptiste Poline has contributed to book publications under the European Organization for Nuclear Research. Notably, multiple editions of "The DataLad Handbook" were published between 2020 and 2023.

Best Publications

  • Statistical parametric maps in functional imaging: A general linear approach

    K. J. Friston;A. P. Holmes;K. J. Worsley;J.-P. Poline

  • Spatial registration and normalization of images

    Karl. J. Friston;J. Ashburner;C. D. Frith;J.-B. Poline

  • Analysis of fMRI Time-Series Revisited

    Karl J. Friston;A. P. Holmes;J. B. Poline;P. J. Grasby

  • Valid conjunction inference with the minimum statistic.

    Thomas E. Nichols;Matthew Brett;Jesper L. R. Andersson;Tor D. Wager

  • The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments.

    Krzysztof J. Gorgolewski;Tibor Auer;Vince D. Calhoun;R. Cameron Craddock

  • Cerebral mechanisms of word masking and unconscious repetition priming.

    Stanislas Dehaene;Lionel Naccache;Laurent Cohen;Denis Le Bihan

  • Scanning the horizon: towards transparent and reproducible neuroimaging research

    Russell A. Poldrack;Chris I. Baker;Joke Durnez;Krzysztof J. Gorgolewski

  • Detecting Activations in PET and fMRI: Levels of Inference and Power

    K J Friston;A Holmes;J B Poline;C J Price

  • Partially Overlapping Neural Networks for Real and Imagined Hand Movements

    Emmanuel Gerardin;Angela Sirigu;Stéphane Lehéricy;Jean-Baptiste Poline

  • Variability in the analysis of a single neuroimaging dataset by many teams

    Rotem Botvinik-Nezer;Rotem Botvinik-Nezer;Felix Holzmeister;Colin F. Camerer;Anna Dreber;Anna Dreber

  • The visual word form area: a prelexical representation of visual words in the fusiform gyrus.

    Stanislas Dehaene;Gurvan Le Clec'H;Jean-Baptiste Poline;Denis Le Bihan

  • The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

    Paul M. Thompson;Jason L. Stein;Sarah E. Medland;Derrek P. Hibar

  • Combining Spatial Extent and Peak Intensity to Test for Activations in Functional Imaging

    Poline Jb;Worsley Kj;Evans Ac;Friston Kj

  • The IMAGEN study: reinforcement-related behaviour in normal brain function and psychopathology.

    G Schumann;E Loth;T Banaschewski;A Barbot

  • Identification of common variants associated with human hippocampal and intracranial volumes

    Jason L Stein;Sarah E Medland;Sarah E Medland;Alejandro Arias Vasquez;Alejandro Arias Vasquez;Derrek P Hibar

  • Correlated gene expression supports synchronous activity in brain networks

    Jonas Richiardi;Jonas Richiardi;Andre Altmann;Anna-Clare Milazzo;Anna-Clare Milazzo;Catie Chang

  • Evidence for abnormal cortical functional connectivity during working memory in schizophrenia.

    Andreas Meyer-Lindenberg;Jean-Baptiste Poline;Philip D. Kohn;John L. Holt

  • A voxel-based method for the statistical analysis of gray and white matter density applied to schizophrenia

    I.C. Wright;P.K. McGuire;J.-B. Poline;J.M. Travere

  • Best practices in data analysis and sharing in neuroimaging using MRI.

    Thomas E Nichols;Samir Das;Samir Das;Simon B Eickhoff;Simon B Eickhoff;Alan C Evans;Alan C Evans

  • NeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain

    Krzysztof J. Gorgolewski;Krzysztof J. Gorgolewski;Gael Varoquaux;Gabriel Rivera;Yannick Schwarz

  • Analysis of a large fMRI cohort: Statistical and methodological issues for group analyses.

    Bertrand Thirion;Philippe Pinel;Sébastien Mériaux;Alexis Roche

Frequent Co-Authors

Tomáš Paus
Tomáš Paus University of Toronto
Patricia J. Conrod
Patricia J. Conrod University of Montreal
Thomas E. Nichols
Thomas E. Nichols University of Oxford
Gunter Schumann
Gunter Schumann King's College London
Vincent Frouin
Vincent Frouin University of Paris-Saclay
Hugh Garavan
Hugh Garavan University of Vermont
Jean-Luc Martinot
Jean-Luc Martinot École Normale Supérieure Paris-Saclay
Herta Flor
Herta Flor Heidelberg University
Russell A. Poldrack
Russell A. Poldrack Stanford University

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