Core 3.1 - Dartmouth Activities Andrew J. Saykin, Psy.D., ABPP-CN John D. West, M.S. Robert M. Roth, Ph.D. Brain Imaging Laboratory Dartmouth Medical School.

Slides:



Advertisements
Similar presentations
Cerebral Glucose Metabolism in Obsessive-Compulsive Hoarding
Advertisements

National Alliance for Medical Image Computing Diffusion Weighted MRI.
NA-MIC National Alliance for Medical Image Computing Dartmouth Brain Imaging Laboratory Site PI: Andrew J. Saykin, Psy.D.
National Alliance for Medical Image Computing Core DBP Dartmouth Data NA-MIC National Alliance for Medical Image Computing
Gross Structure of the Brain
Slicer Welcome Tutorial
National Alliance for Medical Image Computing Core 3-1 Schizophrenia NA-MIC National Alliance for Medical Image Computing
Function / ROI Viewing in Slicer2 and Slicer3 for fBIRN Data.
Core Dartmouth Activities Andrew J. Saykin, Psy.D., ABPP-CN John D. West, M.S. Robert M. Roth, Ph.D. Brain Imaging Laboratory Dartmouth Medical School.
Significance of White Matter Hyperintensities in MCI Charles DeCarli University of California at Davis Alzheimer’s Disease Center Imaging of Dementia and.
Public Health Julie C. Chapman, PsyD Director of Neuroscience War Related Illness & Injury Study Center Veterans Affairs Medical Center, Washington, DC.
Diffusion Tractography of the Fornix in Male Schizophrenic Patients Background: White matter fiber tracts, especially those interconnecting the frontal.
Functional Magnetic Resonance Imaging Carol A. Seger Psychology Molecular, Cellular, and Integrative Neuroscience Michael Thaut Music, Theater, and Dance.
National Alliance for Medical Image Computing AHM, SLC, January 2007 Velo-Cardio-Facial Syndrome PRINCIPAL INVESTIGATOR: Marek Kubicki,
NA-MIC National Alliance for Medical Image Computing DTI atlas building for population analysis: Application to PNL SZ study Casey Goodlett,
Surgical Planning Laboratory Brigham and Women’s Hospital Boston, Massachusetts USA a teaching affiliate of Harvard Medical School Visit of Barbara Alving,
NA-MIC National Alliance for Medical Image Computing Training Core Update Sonia Pujol, PhD Randy Gollub, MD, PhD Harvard Medical School.
NA-MIC National Alliance for Medical Image Computing Slicer for Neurosurgical Planning IBMSPS th Annual World Congress for Brain.
Collaborations and Architectures mBIRN Progress at BWH.
National Alliance for Medical Image Computing Slicer fMRI introduction.
Neuroimage Analysis Center An NCRR National Resource Center Slicer Workflow Engine: Aim Supplement 3D Slicer with Workflow Management.
White Matter Of Cerebrum
NA-MIC National Alliance for Medical Image Computing Algorithms MIT PI: Polina Golland.
National Alliance for Medical Image Computing May, 2007 Velo-Cardio-Facial Syndrome PRINCIPAL INVESTIGATOR: Marek Kubicki, MD, PhD INVESTIGATORS:
NA-MIC National Alliance for Medical Image Computing Harvard Psychiatry Neuroimaging Laboratory Site PI: Martha E. Shenton, Ph.D.
Ongoing BIRN-GCRC Collaborations Medical College Wisconsin (non BIRN site) –Functional MRI acquisition calibration University of Texas (non BIRN site)
SLICER: Initial Experience at Dartmouth Tara McHugh, M.A. Robert Roth, Ph.D. Brain Imaging Laboratory Dartmouth Medical School / DHMC NA-MIC National Alliance.
NA-MIC National Alliance for Medical Image Computing Big Science in Schizophrenia Research Ron Kikinis, M.D. Professor of Radiology,
FORNIX IN FIRST EPISODE SCHIZOPHRENIA: A DIFFUSION TRACTOGRAPHY STUDY Background: Fornix, the most prominent white matter output from the hippocampus have.
NA-MIC National Alliance for Medical Image Computing Dartmouth Brain Imaging Laboratory & Indiana University Center for Neuroimaging.
(Pre-)Clinical and Applications with DTI
NA-MIC National Alliance for Medical Image Computing Core 1 & Core 3 Projects.
2004 All Hands Meeting Morphometry BIRN: Milestones for 2005 Jorge Jovicich PhD Steve Pieper, PhD David Kennedy, PhD.
Image Guided Therapy in Slicer3 Planning for Image Guided Neurosurgery Nobuhiko Hata, PhD Slicer3 Training Compendium Neurosurgery Tutorial, N. Hata.
Algorithms Organization Ross Whitaker – Utah Polina Golland – MIT (Kayhan B.) Guido Gerig – Utah Martin Styner – UNC Allen Tannenbaum – Georgia Tech.
NA-MIC National Alliance for Medical Image Computing National Alliance for Medical Image Computing: NAMIC Ron Kikinis, M.D.
Module 7 The Brain Chapter 2 Essentials of Understanding Psychology -Sixth Edition PSY110 Psychology © Richard Goldman October 4, 2006.
INTRODUCTION Chronic pain is associated with cortical functional, neurochemical and morphological changes (Grachev et al., 2002, Apkarian et al., 2004).
WPA Neuroimaging. WPA Basic Principles of Brain Imaging Some technique is used to measure a signal in the brain (e.g., the degree to which an xray beam.
Gross Structure of the Brain
Image Guided Therapy in Slicer3 Planning for Image Guided Neurosurgery Nobuhiko Hata, Ph.D. Slicer3 Training Compendium Neurosurgery Tutorial, N. Hata.
Surgical Planning Laboratory -1- Brigham and Women’s Hospital Converting DTI data into Nrrd file format Sonia Pujol, Ph.D. Gordon.
National Alliance for Medical Image Computing Core What We Need from Cores 1 & 2 NA-MIC National Alliance for Medical Image Computing.
NA-MIC National Alliance for Medical Image Computing UNC Core 1: What did we do for NA-MIC and/or what did NA-MIC do for us Guido Gerig,
NA-MIC National Alliance for Medical Image Computing Mental Illness and Neuroscience Discovery (MIND) Consortium Data Randy L. Gollub,
NA-MIC National Alliance for Medical Image Computing NA-MIC UNC Guido Gerig, Martin Styner, Isabelle Corouge
CEREBRAL MEDULLA & LATERAL VENTRICLE
Neuroimage Analysis Center An NCRR National Resource Center NAC Engineering Core Steve Pieper, Core PI SPL; Isomics, Inc.
NA-MIC National Alliance for Medical Image Computing fMRI in NAMIC Facilitator: Polina Golland Presenters: Jim Fallon and Andy Saykin.
Integrity of white matter in the corpus callosum correlates with bimanual co-ordination skill Heidi Johansen-Berg 1, Valeria Della-Maggiore 3, Steve Smith.
NA-MIC National Alliance for Medical Image Computing A longitudinal study of brain development in autism Heather Cody Hazlett, PhD Neurodevelopmental.
NA-MIC National Alliance for Medical Image Computing Velocardiofacial Syndrome as a Genetic Model for Schizophrenia Marek Kubicki DBP2,
Corpus Callosum Probabilistic Subdivision based on Inter-Hemispheric Connectivity May 2005, UNC Radiology Symposium Original brain images for the corpus.
NA-MIC National Alliance for Medical Image Computing Velocardiofacial Syndrome as a Genetic Model for Schizophrenia Marek Kubicki DBP2,
NA-MIC National Alliance for Medical Image Computing fMRI within NAMIC Sandy Wells, Polina Golland Discussion moderator: Andy Saykin.
NA-MIC National Alliance for Medical Image Computing Programming Week Kickoff MIT, June 27, 2005.
NA-MIC National Alliance for Medical Image Computing Slicer Progress in 2009 Steve Pieper, Ph.D.
NA-MIC National Alliance for Medical Image Computing Geodesic Tractography Segmentation DTI Tractography Workshop, Oct. 1-2, Santa.
Advanced brain imaging and neurodegenerative disorders. Dott.ssa Ingrid Inches.
Dr. Temple Grandin: A Neuroimaging Case Study Jason R. Cooperrider 1,2, Temple Grandin 5, Erin D. Bigler 2,6, Jeffrey S. Anderson 1,3, Nicholas Lange 7,
NA-MIC National Alliance for Medical Image Computing NAMIC Core 3.1 Overview: Harvard/BWH and Dartmouth Structural and Functional Connectivity.
Ron Kikinis, M.D ‡. Wanmei Ou, MSc §, Polina Golland, Ph.D. §, William Wells III, Ph.D. ‡§, Carsten Richter ‡, Steven Pieper, Ph.D. ¥, Haiying Liu ‡, Wendy.
Fiber Bundle Volume Measurement
DT-MRI BWH, MIT Carl-Fredrik Westin, Lauren O’Donnell, Raul San-Jose, Ola Friman, Gordon Kindlmann, William Wells, Sylvain Bouix, Marek Kubicki,
Polina Golland Core 1, MIT
Core 3-1 Schizophrenia NA-MIC
Slicer fMRI introduction
Neuroimaging Schizophrenia and Related Disorders
DTI Course Bring your computer and you will be guided through the steps to reconstruct the white matter fibers of the brain, inspect fibers reaching gray.
Joseph I. Friedman et al. JIMG 2014;7:
Presentation transcript:

Core Dartmouth Activities Andrew J. Saykin, Psy.D., ABPP-CN John D. West, M.S. Robert M. Roth, Ph.D. Brain Imaging Laboratory Dartmouth Medical School / DHMC NA-MIC National Alliance for Medical Image Computing

Overview National Alliance for Medical Image Computing  Volumetric ROI studies  Diffusion tensor imaging  ROI analyses  Tractography  Functional magnetic resonance imaging  Planned applications  Related work  Current Collaborations

National Alliance for Medical Image Computing ROI Volumetric Studies Manual Tracing and 3D Modeling of ROIs using Slicer ROIs: Hippocampus Amygdala Entorhinal cortex Caudate nucleus Putamen Nucleus accumbens Thalamus Fornix Mammillary bodies

National Alliance for Medical Image Computing ROI Volumetric Studies Illustration of 2D Traces and 3D Models of ROIs

National Alliance for Medical Image Computing Diffusion Tensor Imaging FA in Uncinate Fasciculus ROI in Schizophrenia using Slicer Based on Kubicki et al., 2002

National Alliance for Medical Image Computing Diffusion Tensor Imaging Healthy Control Patient with Schizophrenia C1 - rostrum and genu C2 - anterior truncus C3 - middle truncus C4 - posterior truncus C5 - isthmus and splenium [Wang et al. 2005] Integration of Corpus Callosum Subregion ROIs with Tractography

National Alliance for Medical Image Computing Functional MRI Cognitive Task Development and Validation: Probing Frontal-Temporal Circuitry Primary Tasks: Working memory Episodic memory Semantic memory Secondary Tasks (other Circuitry) Self-reflection Reward Planning

National Alliance for Medical Image Computing Functional MRI Prospective Data Collection on 1.5T Magnet: Interim Analysis of Patients with Schizophrenia and Controls Controls Patientsp (n=8) (n=13) Age (yrs.) 30.8 (7.1) 36.4 (10.3) NS Educ (yrs.)* 16.9 (2.4) 14.6 (1.9).05 Sex (M,F) 3, 5 9, 3 NS WRAT Reading111.5 (4.7) (10.5) NS CVLT-II Total (6.4) 38.6 (10.4).001 * matched for parental SES

National Alliance for Medical Image Computing Functional MRI n-Back Working Memory Task

National Alliance for Medical Image Computing Functional MRI FMRI Activation During 3-Back in Schizophrenia Controls N = 8 Patients N = 12 Simple Effects p =.01

National Alliance for Medical Image Computing Functional MRI FMRI Activation During 3-Back in Schizophrenia Controls > Patients p =.01 Patients > Controls

National Alliance for Medical Image Computing Functional MRI Verbal Encoding/Retrieval Episodic Memory Task

National Alliance for Medical Image Computing Functional MRI FMRI Activation During Continuous Auditory-Verbal Recognition Memory (new > old words) in Schizophrenia Patients N = 7 p =.01

National Alliance for Medical Image Computing Collaborations and Progress  fMRI in Slicer – fMRIEngine - Wendy Plesniak and Haiying Liu  Met Dec. 14 th, 2005 to discuss progress and future improvements to be made  Have supplied motor data from two controls to test results from module and compare with results from SPM2  fMRI tasks – Brigham group  Porting of our tasks to BWH  Meeting with Marek Kubicki on Dec. 20 th, 2005 to demonstrate our tasks and how we utilize them  Training session at BWH  Tara McHugh visited to get in depth training in Slicer for tracing structures – Dec. 1 st, 2005

National Alliance for Medical Image Computing Collaborations and Progress  Working with Steve Pieper to test 64-bit Linux version of Slicer  Worked with Steve Pieper, Gordon Kindlmann, Xiaodong Tao, and Josh Snyder to convert Dartmouth DTI data to nrrd format and solve lingering orientation issues  DTI Path of Interest – MGH – David Tuch and Josh Snyder  Request from Andy Saykin to find the optimal path between two or more ROIs in a tensor image  Collaboration to implement DTI Path of Interest Program at Dartmouth  Successful initial results on NAMIC01 healthy control by both Josh Snyder at MGH and John West at Dartmouth  Plans: integrate functional ROIs derived from fMRI tasks

National Alliance for Medical Image Computing DTI Path of Interest – Initial Results  Collaboration with David Tuch & Josh Snyder (MGH)  Description – program finds the optimal path between two or more ROIs using probability statistics  Implementation  C-code, Matlab and FSL scripts to generate optimal path  Slicer for visualization and tracing of input ROIs  Full implementation in Slicer as module is a future project  Initial results from NAMIC01 healthy control

National Alliance for Medical Image Computing DTI Path of Interest – Initial Results Hippocampal ROI to Ventral Prefrontal ROI Uncinate Fasciculus

National Alliance for Medical Image Computing DTI Path of Interest – Initial Results Receptive Speech Area ROI to Expressive Speech Area ROI Arcuate Fasciculus

National Alliance for Medical Image Computing DTI Path of Interest – Initial Results Hippo ROI to Expressive Speech Area ROI Using Receptive Speech Area ROI as Guide Arcuate Fasciculus

National Alliance for Medical Image Computing Planned Applications Integration of fMRI and DTI data, including tractography (see tool “wish list”) Effective and functional connectivity during cognitive tasks (see tool “wish list”) Examine structural (ROI, DTI) and functional (fMRI) correlates of symptoms and cognition Expand use of methods to other populations  bipolar disorder, OCD, MCI, MS, TBI, Epilepsy, others

National Alliance for Medical Image Computing Dartmouth Brain Imaging Laboratory Andrew J. Saykin John West Laura Flashman John MacDonald Nancy Koven Heather Pixley Heather Wishart Jo Cara Pendergrass Brenna McDonald. Tara McHugh Robert Roth. James Ford December, 2005

National Alliance for Medical Image Computing Neuroimaging Research Center 3T Magnet

National Alliance for Medical Image Computing Neuroimaging Research Center 3T Magnet