What is he best known for?
The fields of study he is best known for:
- Electroencephalography
- Neuroscience
- Epilepsy
Jean Gotman spends much of his time researching Electroencephalography, Neuroscience, Epilepsy, Ictal and EEG-fMRI.
The study incorporates disciplines such as Audiology, Magnetic resonance imaging, Artificial intelligence, Temporal lobe and Pattern recognition in addition to Electroencephalography.
His Pattern recognition study integrates concerns from other disciplines, such as Cluster analysis and Communication.
His work deals with themes such as Anesthesia and Central nervous system disease, which intersect with Epilepsy.
His Ictal research includes themes of Surgery, Internal medicine, Epileptic activity and Pathology.
As a part of the same scientific family, Jean Gotman mostly works in the field of EEG-fMRI, focusing on Premovement neuronal activity and, on occasion, Generalized epilepsy.
His most cited work include:
- Automatic recognition of epileptic seizures in the EEG (496 citations)
- Automatic recognition of epileptic seizures in the EEG (496 citations)
- Generalized epileptic discharges show thalamocortical activation and suspension of the default state of the brain (468 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Electroencephalography, Epilepsy, Neuroscience, Ictal and EEG-fMRI.
His studies deal with areas such as Audiology, Artificial intelligence, Scalp, Temporal lobe and Pattern recognition as well as Electroencephalography.
The Pattern recognition study combines topics in areas such as Epileptic activity and Communication.
The concepts of his Epilepsy study are interwoven with issues in Anesthesia, Magnetic resonance imaging and Central nervous system disease.
His Ictal study combines topics in areas such as Internal medicine, Seizure onset, Nuclear magnetic resonance and Cardiology.
Jean Gotman combines subjects such as Idiopathic generalized epilepsy and Blood-oxygen-level dependent with his study of EEG-fMRI.
He most often published in these fields:
- Electroencephalography (73.76%)
- Epilepsy (53.71%)
- Neuroscience (47.03%)
What were the highlights of his more recent work (between 2013-2021)?
- Electroencephalography (73.76%)
- Epilepsy (53.71%)
- Neuroscience (47.03%)
In recent papers he was focusing on the following fields of study:
Electroencephalography, Epilepsy, Neuroscience, Ictal and Scalp are his primary areas of study.
His study in Electroencephalography is interdisciplinary in nature, drawing from both Magnetic resonance imaging, Functional magnetic resonance imaging, Artificial intelligence, Nuclear magnetic resonance and Pattern recognition.
His study explores the link between Artificial intelligence and topics such as Machine learning that cross with problems in Seizure control.
His Epilepsy research incorporates elements of Neurology and Audiology.
His study in the field of Epileptic discharge also crosses realms of In patient.
In his study, Brain activity and meditation and Cortex is inextricably linked to Scalp eeg, which falls within the broad field of Scalp.
Between 2013 and 2021, his most popular works were:
- Intracranial electroencephalographic seizure-onset patterns: effect of underlying pathology. (224 citations)
- High-frequency oscillations: The state of clinical research (119 citations)
- Diagnostic methods and treatment options for focal cortical dysplasia. (107 citations)
In his most recent research, the most cited papers focused on:
- Electroencephalography
- Internal medicine
- Neuroscience
The scientist’s investigation covers issues in Electroencephalography, Epilepsy, Neuroscience, Ictal and Brain mapping.
Jean Gotman conducts interdisciplinary study in the fields of Electroencephalography and Amplitude through his works.
Many of his studies involve connections with topics such as Cortex and Epilepsy.
In his research, Scalp eeg, Neurology, Hippocampal formation, Neocortex and Insula is intimately related to Scalp, which falls under the overarching field of Neuroscience.
Jean Gotman has included themes like Concordance and EEG-fMRI in his Ictal study.
His work focuses on many connections between Brain mapping and other disciplines, such as Audiology, that overlap with his field of interest in Clinical research.
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