Fast reproducible identification and large-scale databasing of individual functional cognitive networks |
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Authors: | Philippe Pinel Bertrand Thirion Sébastien Meriaux Antoinette Jobert Julien Serres Denis Le Bihan Jean-Baptiste Poline " target="_blank">Stanislas Dehaene |
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Institution: | 1.INSERM U562/ IFR 49, Cognitive Neuroimaging Unit,Gif-sur-Yvette,France;2.CEA, DSV/I2BM, NeuroSpin Center,Cognitive Neuroimaging Laboratory (LCOG),Gif-sur-Yvette,France;3.Université Paris-Sud / IFR 49,Cognitive Neuroimaging Laboratory,Gif-sur-Yvette,France;4.INRIA Futurs, NeuroSpin Center,Computer Assisted Neuroimaging Laboratory (LNAO),Gif-sur-Yvette,France;5.CEA, DSV/I2BM,NeuroSpin Center,Gif-sur-Yvette,France;6.CNRS UMR 6152 / Université de la Méditerranée,Laboratoire Mouvement et Perception Marseille,France;7.Collège de France,Paris,France |
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Abstract: | Background Although cognitive processes such as reading and calculation are associated with reproducible cerebral networks, inter-individual
variability is considerable. Understanding the origins of this variability will require the elaboration of large multimodal
databases compiling behavioral, anatomical, genetic and functional neuroimaging data over hundreds of subjects. With this
goal in mind, we designed a simple and fast acquisition procedure based on a 5-minute functional magnetic resonance imaging
(fMRI) sequence that can be run as easily and as systematically as an anatomical scan, and is therefore used in every subject
undergoing fMRI in our laboratory. This protocol captures the cerebral bases of auditory and visual perception, motor actions,
reading, language comprehension and mental calculation at an individual level. |
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