D
David C. Reutens
Researcher at University of Queensland
Publications - 367
Citations - 11854
David C. Reutens is an academic researcher from University of Queensland. The author has contributed to research in topics: Epilepsy & Cognition. The author has an hindex of 55, co-authored 356 publications receiving 10668 citations. Previous affiliations of David C. Reutens include Royal Perth Hospital & Royal Melbourne Hospital.
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Journal Article
Imaging and biodistribution of a novel anti-CD20 antibody following subcutaneous administration in control and experimental autoimmune encephalomyelitis-variant mice
Mary-anne Migotto,Rajiv Bhalla,Karine Mardon,Jacqueline M. Orian,Gisbert Weckbecker,Rainer Kneuer,David C. Reutens +6 more
Journal ArticleDOI
Intractable partial epilepsy following low-dose scalp irradiation in infancy.
David C. Reutens,François Dubeau,Denis Melanson,G. M. Remillard,J. A. Espinosa,Mark A King,Samuel F. Berkovic,F. Andermann +7 more
TL;DR: Differences suggest pathogenetic differences to cerebral radiation injury of adulthood, probably relating to the interaction between nervous system development, individual susceptibility, and the low doses of radiation employed.
Journal ArticleDOI
A comparative study between para-aminophenyl and ortho-aminophenyl benzothiazoles using NMR and DFT calculations.
TL;DR: The presence of intramolecular hydrogen bond in the ortho amino substituted aminophenyl benzothiazole forces the molecule to be planar which may be an additional advantage in developing these compounds as Alzheimer's imaging agent because the binding to amyloid fibrils prefers planar compounds.
Journal Article
Signal-enhancing switched protocols to study higher-order cognitive tasks with PET.
Jorge J. Moreno-Cantú,David C. Reutens,Christopher J. Thompson,Robert J. Zatorre,Denise Klein,Ernst Meyer,Michael Petrides +6 more
TL;DR: Evidence is presented suggesting that switched protocols can be used to study higher-order cognitive tasks and that they yield activation foci with S/N values that are greater than those of equivalent foci detected using an rCBF protocol.
Posted Content
Whole-Volume Clustering of Time Series Data from Zebrafish Brain Calcium Images via Mixture Modeling
Hien D. Nguyen,Jeremy F.P. Ullmann,Geoffrey J. McLachlan,Venkatakaushik Voleti,Wenze Li,Elizabeth M. C. Hillman,David C. Reutens,Andrew L. Janke +7 more
TL;DR: In this paper, a model-based functional data analysis methodology via Gaussian mixtures is suggested for the clustering of data from such visualizations is proposed. And the methodology is theoretically justified and a computationally efficient approach to estimation is suggested.