2 articles published in JoVE
Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease Dan Wu1, Andreia V. Faria1, Laurent Younes2,3,4, Christopher A. Ross5, Susumu Mori1,6, Michael I. Miller2,3,7 1The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 2Center for Imaging Science, Johns Hopkins University, 3Institute for Computational Medicine, Johns Hopkins University, 4Department of Applied Mathematics and Statistics, Johns Hopkins University, 5Division of Neurobiology, Departments of Psychiatry, Neurology, Neuroscience and Pharmacology, and Program in Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, 6F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, 7Department of Biomedical Engineering, Johns Hopkins University This paper describes a statistical model for volumetric MRI data analysis, which identifies the "change-point" when brain atrophy begins in premanifest Huntington's disease. Whole-brain mapping of the change-points is achieved based on brain volumes obtained using an atlas-based segmentation pipeline of T1-weighted images.
Online Transcranial Magnetic Stimulation Protocol for Measuring Cortical Physiology Associated with Response Inhibition Michael D. Guthrie1, Donald L. Gilbert2, David A. Huddleston2, Ernest V. Pedapati2,3, Paul S. Horn2, Stewart H. Mostofsky4, Steve W. Wu2 1College of Medicine, University of Cincinnati, 2 We describe an experimental procedure to quantify excitability and inhibition of primary motor cortex during a motor response inhibition task by using Transcranial Magnetic Stimulation throughout the course of a Stop Signal Task.