The scientist’s investigation covers issues in Neuroscience, Electroencephalography, EEG-fMRI, Temporal lobe and Brain mapping. His study in Electroencephalography is interdisciplinary in nature, drawing from both Pattern recognition, Artificial intelligence and Epilepsy. His EEG-fMRI study combines topics in areas such as Alertness, Beta Rhythm, Rhythm, Magnetic resonance imaging and Brain activity and meditation.
His Temporal lobe research is multidisciplinary, relying on both Resting state fMRI and Default mode network. He combines subjects such as Hippocampal sclerosis, Fornix, Gyrus, Frontal lobe and Entorhinal cortex with his study of Brain mapping. His Ictal research incorporates elements of Principle of maximum entropy, Mean squared error, Functional magnetic resonance imaging, Heterotopia and Entropy.
His primary areas of study are Electroencephalography, Epilepsy, Artificial intelligence, Neuroscience and Ictal. His Electroencephalography research includes elements of Principle of maximum entropy, Magnetic resonance imaging and Brain mapping. His work on Epilepsy surgery as part of general Epilepsy research is frequently linked to Population, thereby connecting diverse disciplines of science.
His research in Artificial intelligence focuses on subjects like Pattern recognition, which are connected to Epileptic activity and Prior probability. His Ictal study incorporates themes from Hemodynamics, Surgery, Nuclear medicine and Nuclear magnetic resonance. His work in Magnetoencephalography covers topics such as Audiology which are related to areas like Seizure onset zone.
Christophe Grova spends much of his time researching Neuroscience, Electroencephalography, Pattern recognition, Artificial intelligence and Sleep deprivation. His work on EEG-fMRI as part of general Electroencephalography study is frequently linked to Logarithmic scale, bridging the gap between disciplines. His Pattern recognition study combines topics in areas such as Correlation coefficient, Principle of maximum entropy, Ictal, Noise reduction and Receiver operating characteristic.
Many of his research projects under Artificial intelligence are closely connected to Focus with Focus, tying the diverse disciplines of science together. His biological study deals with issues like Power law, which deal with fields such as Magnetoencephalography. His work on Epilepsy surgery is typically connected to Correlation as part of general Epilepsy study, connecting several disciplines of science.
His primary scientific interests are in Neuroscience, Functional magnetic resonance imaging, Magnetoencephalography, Data science and Variety. His work on Neuroscience deals in particular with Sleep deprivation, Brain activity and meditation, EEG-fMRI, Epilepsy and Epilepsy surgery. His work on Posterior cingulate as part of general Functional magnetic resonance imaging research is frequently linked to Paralimbic cortex, bridging the gap between disciplines.
Christophe Grova conducts interdisciplinary study in the fields of Magnetoencephalography and Visual processing through his works. His work deals with themes such as Field, Traceability and Reliability, which intersect with Data science.
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Generalized epileptic discharges show thalamocortical activation and suspension of the default state of the brain
J. Gotman;C. Grova;A. Bagshaw;E. Kobayashi.
Proceedings of the National Academy of Sciences of the United States of America (2005)
Patterns of altered functional connectivity in mesial temporal lobe epilepsy
Francesca Pittau;Christophe Grova;Christophe Grova;Friederike Moeller;François Dubeau.
Evaluation of EEG localization methods using realistic simulations of interictal spikes.
Christophe Grova;Jean Daunizeau;Jean Daunizeau;Jean-Marc Lina;Jean-Marc Lina;Christian G. Bénar.
EEG-fMRI of epileptic spikes: concordance with EEG source localization and intracranial EEG.
Christian G. Bénar;Christophe Grova;Eliane Kobayashi;Andrew P. Bagshaw.
Negative BOLD responses to epileptic spikes.
Eliane Kobayashi;Andrew P. Bagshaw;Christophe Grova;François Dubeau.
Human Brain Mapping (2006)
Symmetrical event-related EEG/fMRI information fusion in a variational Bayesian framework
Jean Daunizeau;Christophe Grova;Guillaume Marrelec;Jérémie Mattout.
Grey matter heterotopia: what EEG-fMRI can tell us about epileptogenicity of neuronal migration disorders
Eliane Kobayashi;Andrew P. Bagshaw;Christophe Grova;Jean Gotman.
Functional connectivity in patients with idiopathic generalized epilepsy.
Friederike Moeller;Mona Maneshi;Francesca Pittau;Taha Gholipour.
MEG Source localization of spatially extended generators of epileptic activity: comparing entropic and hierarchical bayesian approaches
Rasheda Arman Chowdhury;Jean Marc Lina;Jean Marc Lina;Eliane Kobayashi;Christophe Grova;Christophe Grova;Christophe Grova.
PLOS ONE (2013)
Oscillatory activity in parietal and dorsolateral prefrontal cortex during retention in visual short-term memory : additive effects of spatial attention and memory load
Stéphan Grimault;Nicolas Robitaille;Christophe Grova;Christophe Grova;Jean-Marc Lina;Jean-Marc Lina.
Human Brain Mapping (2009)
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