Relating Brain Structures To Open-Ended Descriptions Of Cognition

Jérôme Dockès 1 Olivier Grisel 2, 1 Joan Massich 1 Fabian Suchanek 3 Bertrand Thirion 1 Gaël Varoquaux 1
1 PARIETAL - Modelling brain structure, function and variability based on high-field MRI data
Inria Saclay - Ile de France, NEUROSPIN - Service NEUROSPIN
2 Nuxeo
3 Télécom ParisTech
Abstract : Finding correspondences between mental processes and brain structures is a central goal in cognitive neuroscience. Neuroimaging provides brain-activity maps associated with cognitive task, however each study explores only a handful of mental processes. Here we use literature mining to bridge results across studies, establishing a bidirectional mapping between brain and mind. Our goal is to work on an open-ended set of terms describing cognitive processes. Moreover we introduce a validation framework using information retrieval met-rics to ensure the accuracy of such correspondences, with a clear focus on relative frequencies, ignored in previous studies , to capture the relative importance of cognitive concepts. We show that this approach enables open-ended encoding and decoding.
Keywords : brain mapping text mining cognition
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Poster communications
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Jérôme Dockès, Olivier Grisel, Joan Massich, Fabian Suchanek, Bertrand Thirion, et al.. Relating Brain Structures To Open-Ended Descriptions Of Cognition. CCN 2017 - Conference on Cognitive Computational Neuroscience, Sep 2017, New York, United States. 10 (2), pp.59 - 63, 2017, ⟨http://ccneuro.org/⟩. ⟨10.1016/j.tics.2005.12.004⟩. ⟨hal-01699045⟩

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