TY - JOUR
T1 - Individual Brain Charting dataset extension, second release of high-resolution fMRI data for cognitive mapping
AU - Pinho, Ana Luísa
AU - Amadon, Alexis
AU - Gauthier, Baptiste
AU - Clairis, Nicolas
AU - Knops, André
AU - Genon, Sarah
AU - Dohmatob, Elvis
AU - Torre, Juan Jesús
AU - Ginisty, Chantal
AU - Becuwe-Desmidt, Séverine
AU - Roger, Séverine
AU - Lecomte, Yann
AU - Berland, Valérie
AU - Laurier, Laurence
AU - Joly-Testault, Véronique
AU - Médiouni-Cloarec, Gaëlle
AU - Doublé, Christine
AU - Martins, Bernadette
AU - Salmon, Eric
AU - Piazza, Manuela
AU - Melcher, David
AU - Pessiglione, Mathias
AU - van Wassenhove, Virginie
AU - Eger, Evelyn
AU - Varoquaux, Gaël
AU - Dehaene, Stanislas
AU - Hertz-Pannier, Lucie
AU - Thirion, Bertrand
N1 - Funding Information:
We thank Rebecca Saxe and colleagues for making publicly available the TOM and Pain Matrices task battery and for the availability to further clarify their implementation, designs and analyses. In particular, we would like to thank Hilary Richardson for the assistance regarding the implementation of the Pain Movie localizer and extraction of its paradigm descriptors for data analysis. We also thank Karen L. Campbell and Lorraine K. Tyler for having kindly provided the video and descriptors of the “Bang” task, which were respectively necessary for a successful re-implementation of the protocol and analysis of data. We thank the Center for Magnetic Resonance Research, University of Minnesota for having kindly provided the Multi-Band Accelerated EPI Pulse Sequence and Reconstruction Algorithms. We are grateful to Kamalaker Dadi, Loubna El Gueddari and Darya Chyzhyk for their assistance in some MRI acquisitions as well as Isabelle Denghien for the advisory and technical support in setting the task protocols. At last, we are especially thankful to all volunteers who have accepted to be part of this challenging study, with many repeated MRI scans over a long period of time. This project has received funding from the European Union’s Horizon 2020 Framework Program for Research and Innovation under Grant Agreement No 720270 (Human Brain Project SGA1) and 785907 (Human Brain Project SGA2).
Publisher Copyright:
© 2020, The Author(s).
PY - 2020/12/1
Y1 - 2020/12/1
N2 - We present an extension of the Individual Brain Charting dataset -a high spatial-resolution, multi-task, functional Magnetic Resonance Imaging dataset, intended to support the investigation on the functional principles governing cognition in the human brain. The concomitant data acquisition from the same 12 participants, in the same environment, allows to obtain in the long run finer cognitive topographies, free from inter-subject and inter-site variability. This second release provides more data from psychological domains present in the first release, and also yields data featuring new ones. It includes tasks on e.g. mental time travel, reward, theory-of-mind, pain, numerosity, self-reference effect and speech recognition. In total, 13 tasks with 86 contrasts were added to the dataset and 63 new components were included in the cognitive description of the ensuing contrasts. As the dataset becomes larger, the collection of the corresponding topographies becomes more comprehensive, leading to better brain-atlasing frameworks. This dataset is an open-access facility; raw data and derivatives are publicly available in neuroimaging repositories.
AB - We present an extension of the Individual Brain Charting dataset -a high spatial-resolution, multi-task, functional Magnetic Resonance Imaging dataset, intended to support the investigation on the functional principles governing cognition in the human brain. The concomitant data acquisition from the same 12 participants, in the same environment, allows to obtain in the long run finer cognitive topographies, free from inter-subject and inter-site variability. This second release provides more data from psychological domains present in the first release, and also yields data featuring new ones. It includes tasks on e.g. mental time travel, reward, theory-of-mind, pain, numerosity, self-reference effect and speech recognition. In total, 13 tasks with 86 contrasts were added to the dataset and 63 new components were included in the cognitive description of the ensuing contrasts. As the dataset becomes larger, the collection of the corresponding topographies becomes more comprehensive, leading to better brain-atlasing frameworks. This dataset is an open-access facility; raw data and derivatives are publicly available in neuroimaging repositories.
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U2 - 10.1038/s41597-020-00670-4
DO - 10.1038/s41597-020-00670-4
M3 - Article
C2 - 33067452
SN - 2052-4463
VL - 7
SP - 353
JO - Scientific Data
JF - Scientific Data
IS - 1
M1 - 353
ER -