What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Neuroscience
- Mutation
His primary areas of investigation include Epilepsy, Pediatrics, Genetics, Magnetoencephalography and Central nervous system disease.
His Epilepsy research is mostly focused on the topic Lamotrigine.
Patrick Van Bogaert has researched Pediatrics in several fields, including Surgery, Febrile seizure, Dravet syndrome, Slow-wave sleep and Intelligence quotient.
His research integrates issues of Computer vision, Index finger, Communication and Artificial intelligence in his study of Magnetoencephalography.
His work in Artificial intelligence covers topics such as Pattern recognition which are related to areas like Electroencephalography.
Patrick Van Bogaert interconnects Positron emission tomography, Nuclear medicine, Neurological examination and Magnetic resonance imaging in the investigation of issues within Central nervous system disease.
His most cited work include:
- Glucose transporter-1 deficiency syndrome: The expanding clinical and genetic spectrum of a treatable disorder (262 citations)
- Summary of recommendations for the management of infantile seizures: Task Force Report for the ILAE Commission of Pediatrics. (179 citations)
- The gene for paroxysmal non-kinesigenic dyskinesia encodes an enzyme in a stress response pathway (147 citations)
What are the main themes of his work throughout his whole career to date?
Patrick Van Bogaert mainly focuses on Epilepsy, Neuroscience, Electroencephalography, Magnetoencephalography and Pediatrics.
His studies in Epilepsy integrate themes in fields like Anesthesia and Audiology.
Many of his studies involve connections with topics such as Hypermetabolism and Neuroscience.
His research investigates the link between Electroencephalography and topics such as Pattern recognition that cross with problems in Entropy and Resting state fMRI.
Patrick Van Bogaert combines subjects such as Motor cortex and Artificial intelligence with his study of Magnetoencephalography.
His Pediatrics study typically links adjacent topics like Psychiatry.
He most often published in these fields:
- Epilepsy (26.53%)
- Neuroscience (24.49%)
- Electroencephalography (15.82%)
What were the highlights of his more recent work (between 2013-2021)?
- Epilepsy (26.53%)
- Electroencephalography (15.82%)
- Neuroscience (24.49%)
In recent papers he was focusing on the following fields of study:
Epilepsy, Electroencephalography, Neuroscience, Magnetoencephalography and Pediatrics are his primary areas of study.
Patrick Van Bogaert works in the field of Epilepsy, focusing on Ictal in particular.
His study in Electroencephalography is interdisciplinary in nature, drawing from both Entropy, Artificial intelligence, Pattern recognition, Functional neuroimaging and Receiver operating characteristic.
His Magnetoencephalography study combines topics from a wide range of disciplines, such as Somatosensory system, Communication, Rhythm, Resting state fMRI and Brain activity and meditation.
The Pediatrics study combines topics in areas such as Gestational age, Prospective cohort study, Disease, Epileptic spasms and Myoclonus.
His Audiology research incorporates themes from Aphasia, Landau–Kleffner syndrome and Rolandic epilepsy.
Between 2013 and 2021, his most popular works were:
- Summary of recommendations for the management of infantile seizures: Task Force Report for the ILAE Commission of Pediatrics. (179 citations)
- A geometric correction scheme for spatial leakage effects in MEG/EEG seed-based functional connectivity mapping. (63 citations)
- Left superior temporal gyrus is coupled to attended speech in a cocktail-party auditory scene (58 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Neuroscience
- Psychiatry
His primary scientific interests are in Magnetoencephalography, Epilepsy, Audiology, Brain activity and meditation and Artificial intelligence.
His Magnetoencephalography study is concerned with the larger field of Neuroscience.
His study of Dravet syndrome is a part of Epilepsy.
His Audiology research incorporates elements of Recall, Prosody, Memory consolidation and Temporal lobe.
His Artificial intelligence research includes themes of Computer vision, Superior parietal lobule, Human brain and Pattern recognition.
His study looks at the relationship between Pattern recognition and topics such as Brain mapping, which overlap with Electroencephalography.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
