What is he best known for?
The fields of study he is best known for:
- Magnetic resonance imaging
- Internal medicine
- Epilepsy
David R. Fish mostly deals with Epilepsy, Electroencephalography, Magnetic resonance imaging, Neuroscience and Ictal.
The various areas that he examines in his Epilepsy study include Surgery, Sudden death, Frontal lobe, Pathology and Pediatrics.
His Pathology research focuses on Hippocampal sclerosis and how it relates to Cortical dysplasia and Lesion.
David R. Fish works in the field of Electroencephalography, focusing on EEG-fMRI in particular.
His Magnetic resonance imaging research includes elements of Hippocampal formation, Temporal lobe and Central nervous system disease.
He works mostly in the field of Ictal, limiting it down to concerns involving Anesthesia and, occasionally, Convulsion and Seizure types.
His most cited work include:
- Identification of EEG events in the MR scanner : The problem of pulse artifact and a method for its subtraction (734 citations)
- Abnormalities of gyration, heterotopias, tuberous sclerosis, focal cortical dysplasia, microdysgenesis, dysembryoplastic neuroepithelial tumour and dysgenesis of the archicortex in epilepsy: Clinical, EEG and neuroimaging features in 100 adult patients (453 citations)
- Hippocampal volumetric and morphometric studies in frontal and temporal lobe epilepsy (422 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Epilepsy, Electroencephalography, Magnetic resonance imaging, Neuroscience and Ictal.
The study incorporates disciplines such as Surgery, Central nervous system disease and Pathology in addition to Epilepsy.
David R. Fish studied Electroencephalography and Artificial intelligence that intersect with Computer vision and Pattern recognition.
His Magnetic resonance imaging research is multidisciplinary, relying on both Lesion, Nuclear medicine, Anatomy, Hippocampal formation and Human brain.
The Cerebral cortex, Cortex, Functional imaging and Idiopathic generalized epilepsy research he does as part of his general Neuroscience study is frequently linked to other disciplines of science, such as In patient, therefore creating a link between diverse domains of science.
His study in Ictal is interdisciplinary in nature, drawing from both Anesthesia, Cerebral blood flow, Frontal lobe and Blood-oxygen-level dependent.
He most often published in these fields:
- Epilepsy (72.46%)
- Electroencephalography (36.96%)
- Magnetic resonance imaging (31.16%)
What were the highlights of his more recent work (between 2000-2010)?
- Epilepsy (72.46%)
- Electroencephalography (36.96%)
- Neuroscience (26.81%)
In recent papers he was focusing on the following fields of study:
David R. Fish focuses on Epilepsy, Electroencephalography, Neuroscience, Ictal and EEG-fMRI.
He has included themes like Magnetic resonance imaging, Central nervous system disease, Audiology and Artifact in his Epilepsy study.
His work deals with themes such as Brain mapping and Human brain, which intersect with Magnetic resonance imaging.
In his study, Pattern recognition and Data science is strongly linked to Artificial intelligence, which falls under the umbrella field of Electroencephalography.
His studies deal with areas such as Partial epilepsy, Blood-oxygen-level dependent, Eeg recording and Voxel as well as Ictal.
His EEG-fMRI research is multidisciplinary, incorporating perspectives in Hemodynamics and Resting state fMRI.
Between 2000 and 2010, his most popular works were:
- Event-related fMRI with simultaneous and continuous EEG: description of the method and initial case report. (247 citations)
- Hemodynamic correlates of epileptiform discharges : An EEG-fMRI study of 63 patients with focal epilepsy (235 citations)
- Functional magnetic resonance imaging of human absence seizures. (229 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Magnetic resonance imaging
- Epilepsy
The scientist’s investigation covers issues in Neuroscience, Electroencephalography, Epilepsy, Ictal and EEG-fMRI.
Idiopathic generalized epilepsy is the focus of his Neuroscience research.
The concepts of his Epilepsy study are interwoven with issues in Magnetic resonance imaging and Functional imaging.
His studies in Magnetic resonance imaging integrate themes in fields like Temporal lobe and Central nervous system disease.
His study in Central nervous system disease is interdisciplinary in nature, drawing from both Hippocampal sclerosis, Hippocampus, Epileptogenesis and Atrophy, Pathology.
His work deals with themes such as Partial epilepsy, Artificial intelligence, Artifact, Blood-oxygen-level dependent and Brain mapping, which intersect with Ictal.
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