2023 - Research.com Neuroscience in Australia Leader Award
David F. Abbott mainly focuses on Neuroscience, Functional magnetic resonance imaging, Magnetic resonance imaging, Brain mapping and Epilepsy. David F. Abbott has researched Functional magnetic resonance imaging in several fields, including Cognitive psychology, Facial expression, Computer vision and Amygdala. His work carried out in the field of Magnetic resonance imaging brings together such families of science as Tumor Oxygenation and Pathology.
His Brain mapping research includes elements of Communication disorder, Neuropsychology, Lateralization of brain function, Audiology and Resting state fMRI. David F. Abbott combines subjects such as White matter and Neuroimaging with his study of Epilepsy. David F. Abbott interconnects Blood-oxygen-level dependent and Single-photon emission computed tomography in the investigation of issues within Electroencephalography.
His scientific interests lie mostly in Neuroscience, Electroencephalography, Epilepsy, Functional magnetic resonance imaging and Brain mapping. His work in Ictal, Default mode network, Lennox–Gastaut syndrome, Neuroimaging and Brain activity and meditation is related to Neuroscience. His studies deal with areas such as Independent component analysis and Human brain as well as Electroencephalography.
His Epilepsy research incorporates themes from Frontal lobe, Anesthesia and White matter, Magnetic resonance imaging. His work in Functional magnetic resonance imaging addresses subjects such as Voxel, which are connected to disciplines such as Voxel-based morphometry. As a part of the same scientific study, David F. Abbott usually deals with the Brain mapping, concentrating on Audiology and frequently concerns with Developmental psychology.
His primary areas of investigation include Neuroscience, Electroencephalography, Functional magnetic resonance imaging, Epilepsy and EEG-fMRI. His study in Default mode network, Brain mapping, Sensory system, Brain activity and meditation and Neuroimaging is carried out as part of his Neuroscience studies. Many of his research projects under Electroencephalography are closely connected to Interface with Interface, tying the diverse disciplines of science together.
The various areas that David F. Abbott examines in his Functional magnetic resonance imaging study include Idiopathic generalized epilepsy, Voxel, Functional neuroimaging and Functional brain. The various areas that David F. Abbott examines in his Epilepsy study include Frontal lobe, Magnetic resonance imaging and Telemedicine, Telehealth. In his study, Epileptic discharge and Machine learning is inextricably linked to Artifact, which falls within the broad field of EEG-fMRI.
David F. Abbott focuses on Neuroscience, Brain mapping, Artificial intelligence, Neuroimaging and Functional magnetic resonance imaging. His primary area of study in Neuroscience is in the field of Lennox–Gastaut syndrome. David F. Abbott works mostly in the field of Lennox–Gastaut syndrome, limiting it down to concerns involving Young adult and, occasionally, Electroencephalography.
In Artificial intelligence, David F. Abbott works on issues like Brain activity and meditation, which are connected to Computational neuroscience, Temporal resolution, Pattern recognition and Functional neuroimaging. His study focuses on the intersection of Neuroimaging and fields such as Sensory system with connections in the field of Cerebral cortex, Nerve net, Motor cortex and Resting state fMRI. His work carried out in the field of Functional magnetic resonance imaging brings together such families of science as Laterality, Audiology, Verbal fluency test and Wada test.
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Amygdala Responses to Fearful and Happy Facial Expressions under Conditions of Binocular Suppression
Mark A. Williams;Adam P. Morris;Adam P. Morris;Francis McGlone;David F. Abbott.
The Journal of Neuroscience (2004)
Functional connectivity networks are disrupted in left temporal lobe epilepsy
Anthony B. Waites;Regula S. Briellmann;Michael M. Saling;David F. Abbott.
Annals of Neurology (2006)
Effect of prior cognitive state on resting state networks measured with functional connectivity.
Anthony B. Waites;Alexandra Stanislavsky;David F. Abbott;Graeme D. Jackson.
Human Brain Mapping (2005)
Viewing the motion of human body parts activates different regions of premotor, temporal, and parietal cortex.
Kylie J Wheaton;James C Thompson;Ari Syngeniotis;David F Abbott.
fMRI “deactivation” of the posterior cingulate during generalized spike and wave
John S Archer;David F Abbott;Anthony B Waites;Graeme D Jackson.
Randomized trial of constraint-induced movement therapy and bimanual training on activity outcomes for children with congenital hemiplegia.
Leanne Sakzewski;Jenny Ziviani;David F Abbott;Richard A L Macdonell.
Developmental Medicine & Child Neurology (2011)
Identifying hypoxic tissue after acute ischemic stroke using PET and 18F-fluoromisonidazole
S. J. Read;T. Hirano;D. F. Abbott;J. I. Sachinidis.
Differential amygdala responses to happy and fearful facial expressions depend on selective attention.
Mark A. Williams;Francis McGlone;David F. Abbott;Jason B. Mattingley.
The fate of hypoxic tissue on 18F-fluoromisonidazole positron emission tomography after ischemic stroke.
S. J. Read;T. Hirano;D. F. Abbott;R. Markus.
Annals of Neurology (2000)
Hippocampal volume assessment in temporal lobe epilepsy: How good is automated segmentation?
Heath R. Pardoe;Gaby S. Pell;David F. Abbott;Graeme D. Jackson.
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