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 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.
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.
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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Identification of EEG events in the MR scanner : The problem of pulse artifact and a method for its subtraction
Philip J. Allen;Giovanni Polizzi;Karsten Krakow;David R. Fish.
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
A. A. Raymond;D. R. Fish;S. M. Sisodiya;N. Alsanjari.
Autosomal dominant nocturnal frontal lobe epilepsy. A distinctive clinical disorder.
I E Scheffer;K P Bhatia;I Lopes-Cendes;D R Fish.
Hippocampal volumetric and morphometric studies in frontal and temporal lobe epilepsy
M. J. Cook;D. R. Fish;S. D. Shorvon;K. Straughan.
Apnoea and bradycardia during epileptic seizures: relation to sudden death in epilepsy.
L. Nashef;F. Walker;P. Allen;J. W. A. S. Sander.
Journal of Neurology, Neurosurgery, and Psychiatry (1996)
The clinical features and prognosis of pseudoseizures diagnosed using video‐EEG telemetry
H Meierkord;B Will;D Fish;S Shorvon.
Autosomal dominant frontal epilepsy misdiagnosed as sleep disorder
Ingrid E Scheffer;K P Bhatia;I Lopes-Cendes;D R Fish.
The Lancet (1994)
EEG-triggered functional MRI of interictal epileptiform activity in patients with partial seizures
K. Krakow;F. G. Woermann;M. R. Symms;P. J. Allen.
An analysis of clinical seizure patterns and their localizing value in frontal and temporal lobe epilepsies
M. Manford;D. R. Fish;S. D. Shorvon.
A patient‐to‐computed‐tomography image registration method based on digitally reconstructed radiographs
L. Lemieux;R. Jagoe;D. R. Fish;N. D. Kitchen.
Medical Physics (1994)
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