J
J.F. Echallier
Researcher at French Institute of Health and Medical Research
Publications - 14
Citations - 4453
J.F. Echallier is an academic researcher from French Institute of Health and Medical Research. The author has contributed to research in topics: Dipole & Auditory cortex. The author has an hindex of 11, co-authored 14 publications receiving 4054 citations.
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Spherical splines for scalp potential and current density mapping
TL;DR: Description of mapping methods using spherical splines, both to interpolate scalp potentials (SPs) and to approximate scalp current densities (SCDs) with greater accuracy in areas with few electrodes.
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ERP Manifestations of Processing Printed Words at Different Psycholinguistic Levels: Time Course and Scalp Distribution
TL;DR: The present data corroborated the functional neuro-anatomy of word recognition systems suggested by other neuroimaging methods and described their timecourse, supporting a cascade-type process that involves different but interconnected neural modules, each responsible for a different level of processing word-related information.
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Mapping of scalp potentials by surface spline interpolation.
TL;DR: Surface splines are mathematical tools for interpolating functions of two variables that are smoother, give more precisely located extrema and converge faster toward the 'true' potential surface when the number of recording electrodes is increased.
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Dissociation of temporal and frontal components in the human auditory N1 wave a scalp current density and dipole model analysis
Marie-Hélène Giard,Francois Perrin,J.F. Echallier,Marc Thevenet,Jean-Claude Froment,Jacques Pernier +5 more
TL;DR: The dissociation of an exogenous, obligatory frontal component from the sensory-specific response in the auditory N1 suggests that parallel processes served by distinct neural systems are activated during acoustic stimulation.
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Tonotopic organization of the human auditory cortex: N100 topography and multiple dipole model analysis
TL;DR: This study demonstrates that simple dipolar models, applied on electrical data, make it possible to reveal functionally distinct cortical areas in the auditory cortical area involved in the N100 wave generation.