What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Electroencephalography
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 most cited work include:
- Generalized epileptic discharges show thalamocortical activation and suspension of the default state of the brain (468 citations)
- Patterns of altered functional connectivity in mesial temporal lobe epilepsy (191 citations)
- Patterns of altered functional connectivity in mesial temporal lobe epilepsy (191 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Electroencephalography (85.04%)
- Epilepsy (69.29%)
- Artificial intelligence (44.88%)
What were the highlights of his more recent work (between 2018-2021)?
- Neuroscience (49.61%)
- Electroencephalography (85.04%)
- Pattern recognition (38.58%)
In recent papers he was focusing on the following fields of study:
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.
Between 2018 and 2021, his most popular works were:
- Cortical reactivations during sleep spindles following declarative learning. (16 citations)
- Magnetoencephalography resting state connectivity patterns as indicatives of surgical outcome in epilepsy patients. (8 citations)
- Accuracy and spatial properties of distributed magnetic source imaging techniques in the investigation of focal epilepsy patients. (7 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Functional magnetic resonance imaging
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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