O
Olivier F. Bertrand
Researcher at Laval University
Publications - 509
Citations - 37435
Olivier F. Bertrand is an academic researcher from Laval University. The author has contributed to research in topics: Percutaneous coronary intervention & Conventional PCI. The author has an hindex of 81, co-authored 495 publications receiving 33555 citations. Previous affiliations of Olivier F. Bertrand include Paris Diderot University & French Institute of Health and Medical Research.
Papers
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A systematic evaluation of the spherical model accuracy in eeg dipole localization
TL;DR: A study of the intrinsic localization error bias due to the use of a spherical geometry model on EEG simulated data obtained from realistically shaped models found that the best spherical model lead to localization errors of 5-6mm in the upper part of the head, and of 15-25 mm in the lower part.
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Saccade Related Gamma-Band Activity in Intracerebral EEG: Dissociating Neural from Ocular Muscle Activity
Karim Jerbi,Karim Jerbi,Samson Freyermuth,Sarang S. Dalal,Sarang S. Dalal,Philippe Kahane,Olivier F. Bertrand,Olivier F. Bertrand,Alain Berthoz,Jean-Philippe Lachaux,Jean-Philippe Lachaux +10 more
TL;DR: This analysis shows that the use of stereotactic EEG with a bipolar montage provides a robust and convenient tool to explore the functional role of gamma synchronization in humans with high anatomical accuracy during a wide range of cognitive processes, including oculomotor behaviour.
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Insights into the structure and function of membrane polypeptides carrying blood group antigens
J.-P. Cartron,Pascal Bailly,C. Le Van Kim,Baya Cherif-Zahar,Giorgio Matassi,Olivier F. Bertrand,Yves Colin +6 more
TL;DR: This review will focus on selected blood groups systems (RH, JK, FY, LU, LW, KEL and XK) which are representative of these classes of molecules, in order to illustrate how these studies may bring new information on common and variant phenotypes and for understanding both the mechanisms of tissue specific expression and the potential function of these antigens.
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A robust sensor-selection method for P300 brain–computer interfaces
Hubert Cecotti,Bertrand Rivet,Marco Congedo,Christian Jutten,Olivier F. Bertrand,Olivier F. Bertrand,Emmanuel Maby,Emmanuel Maby,Jérémie Mattout,Jérémie Mattout +9 more
TL;DR: A new approach to select relevant sensors is based on backward elimination using a cost function based on the signal to signal-plus-noise ratio, after some spatial filtering that selects sensors' subsets that provide a better accuracy in the speller recognition rate during the test sessions than selected subsets based on classification accuracy.
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Listening to a walking human activates the temporal biological motion area
TL;DR: This study investigates the neural substrate of human motion perception when listening to footsteps by means of a sparse sampling functional MRI design and shows an auditory attentional network that shares frontal and parietal areas previously found in visual attention paradigms.