2 articles published in JoVE
Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0 Rashed Harun1,2,3, Christine M. Grassi2, Miranda J. Munoz2,4, Amy K. Wagner1,2,3 1Center for Neuroscience, University of Pittsburgh, 2Department of Physical Medicine & Rehabilitation, University of Pittsburgh, School of Medicine, 3Safar Center for Resuscitation Research, University of Pittsburgh, 4Department of Biological Sciences, Mellon College of Science, Carnegie Mellon University Fast-scan cyclic voltammetry can monitor in vivo dopamine neurotransmission in the context of drugs, disease, and other experimental manipulations. This work describes the implementation of QNsim1.0, a software to model electrically stimulated dopamine responses according to the quantitative neurobiological model to quantify estimates of dopamine release and reuptake dynamics.
Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging Jeffrey S. Phillips1,2, Adam S. Greenberg1,3, John A. Pyles1,3, Sudhir K. Pathak1,4, Marlene Behrmann1,3, Walter Schneider1,3, Michael J. Tarr1,3 1Center for the Neural Basis of Cognition, 2Department of Psychology, University of Pittsburgh, 3Department of Psychology, Carnegie Mellon University, 4Department of Bioengineering, University of Pittsburgh We describe a novel approach for simultaneous analysis of brain function and structure using magnetic resonance imaging (MRI). We assess brain structure with high-resolution diffusion-weighted imaging and white-matter fiber tractography. Unlike standard structural MRI, these techniques allow us to directly relate anatomical connectivity to functional properties of brain networks.