D-Index & Metrics Best Publications
Neuroscience
Australia
2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Neuroscience D-index 56 Citations 8,447 156 World Ranking 2764 National Ranking 80

Research.com Recognitions

Awards & Achievements

2023 - Research.com Neuroscience in Australia Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Magnetic resonance imaging
  • Internal medicine

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 most cited work include:

  • Amygdala Responses to Fearful and Happy Facial Expressions under Conditions of Binocular Suppression (298 citations)
  • Functional connectivity networks are disrupted in left temporal lobe epilepsy (262 citations)
  • Effect of prior cognitive state on resting state networks measured with functional connectivity. (215 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Neuroscience (51.55%)
  • Electroencephalography (34.02%)
  • Epilepsy (28.35%)

What were the highlights of his more recent work (between 2014-2021)?

  • Neuroscience (51.55%)
  • Electroencephalography (34.02%)
  • Functional magnetic resonance imaging (27.84%)

In recent papers he was focusing on the following fields of study:

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.

Between 2014 and 2021, his most popular works were:

  • Randomized comparison trial of density and context of upper limb intensive group versus individualized occupational therapy for children with unilateral cerebral palsy. (29 citations)
  • Dynamic regional phase synchrony (DRePS): An Instantaneous Measure of Local fMRI Connectivity Within Spatially Clustered Brain Areas (22 citations)
  • Dynamic regional phase synchrony (DRePS): An Instantaneous Measure of Local fMRI Connectivity Within Spatially Clustered Brain Areas (22 citations)

In his most recent research, the most cited papers focused on:

  • Neuroscience
  • Internal medicine
  • Magnetic resonance imaging

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.

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.

Best Publications

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)

469 Citations

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)

356 Citations

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)

294 Citations

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.
NeuroImage (2004)

264 Citations

fMRI “deactivation” of the posterior cingulate during generalized spike and wave

John S Archer;David F Abbott;Anthony B Waites;Graeme D Jackson.
NeuroImage (2003)

259 Citations

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)

216 Citations

Identifying hypoxic tissue after acute ischemic stroke using PET and 18F-fluoromisonidazole

S. J. Read;T. Hirano;D. F. Abbott;J. I. Sachinidis.
Neurology (1998)

202 Citations

Differential amygdala responses to happy and fearful facial expressions depend on selective attention.

Mark A. Williams;Francis McGlone;David F. Abbott;Jason B. Mattingley.
NeuroImage (2005)

199 Citations

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)

192 Citations

Hippocampal volume assessment in temporal lobe epilepsy: How good is automated segmentation?

Heath R. Pardoe;Gaby S. Pell;David F. Abbott;Graeme D. Jackson.
Epilepsia (2009)

185 Citations

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