Accedi

University of Texas

3 ARTICLES PUBLISHED IN JoVE

Neuroscience

Examining Local Network Processing using Multi-contact Laminar Electrode Recording

Bryan J. Hansen¹, Sarah Eagleman¹, Valentin Dragoi²

¹Graduate School of Biomedical Science, Neuroscience Program, University of Texas , ²Department of Neurobiology and Anatomy, University of Texas

A fundamental issue in our understanding of cortical circuitry is how networks in different cortical layers encode sensory information. Here we describe electrophysiological techniques utilizing multi-contact laminar electrodes to record single-units and local field potentials and present analyses to identify cortical layers.

Medicine

A Simple Guide Screw Method for Intracranial Xenograft Studies in Mice

Jacqueline F. Donoghue¹, Oliver Bogler², Terrance G. Johns¹

¹Monash Institute of Medical Research , ²MD Anderson Cancer Centre, University of Texas

In order to evaluate novel therapeutic paradigms for the treatment of glioma, physiological relevant models are essential. We utilize an implantable guide screw procedure for establishment of intracranial xenograft models that is more rapid and safer than stereotactic approaches.

Medicine

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Laurence E. Court¹, Kelly Kisling¹, Rachel McCarroll¹, Lifei Zhang¹, Jinzhong Yang¹, Hannah Simonds², Monique du Toit², Chris Trauernicht², Hester Burger³, Jeannette Parkes³, Mike Mejia⁴, Maureen Bojador⁴, Peter Balter¹, Daniela Branco¹, Angela Steinmann¹, Garrett Baltz¹, Skylar Gay¹, Brian Anderson¹, Carlos Cardenas¹, Anuja Jhingran⁵, Simona Shaitelman⁵, Oliver Bogler⁶, Kathleen Schmeller⁷, David Followill¹, Rebecca Howell¹, Christopher Nelson¹, Christine Peterson⁸, Beth Beadle^5,9

¹Department of Radiation Physics, University of Texas MD Anderson Cancer Center, ²Department of Radiation Oncology, Stellenbosch University and Tygerberg Hospital, ³Departments of Radiation Oncology and Medical Physics, Groote Schuur Hospital and University of Cape Town, ⁴Department of Radiation Oncology, University of Santo Tomas Hospital, Benavides Cancer Institute, ⁵Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, ⁶Academic Affairs, University of Texas MD Anderson Cancer Center, ⁷Department of Gynecological Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, ⁸Department of Biostatistics, University of Texas MD Anderson Cancer Center, ⁹Department of Radiation Oncology, Stanford University

Radiation therapy is a highly complex cancer treatment that requires multiple specialists to create a treatment plan and provide quality assurance (QA) prior to delivery to a patient. This protocol describes the use of a fully automated system, the Radiation Planning Assistant (RPA), to create high-quality radiation treatment plans.