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
National Alliance for Medical Image Computing Diffusion Weighted MRI.
Advertisements

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
The Microstructural Basis of Abnormal Connectivity in Autism Janet Lainhart, MD Associate Professor of Psychiatry, Pediatrics, Psychology, and Faculty.
National Alliance for Medical Image Computing Core 3-1 Schizophrenia NA-MIC National Alliance for Medical Image Computing
Medical College of Wisconsin Functional Imaging Research Center Stephen M. Rao, Ph.D., Director Professor of Neurology
Diffusion Tensor Imaging (DTI) is becoming a routine technique to study white matter properties and alterations of fiber integrity due to pathology. The.
Diffusion Tractography of the Fornix in Male Schizophrenic Patients Background: White matter fiber tracts, especially those interconnecting the frontal.
NAMIC: UNC – PNL collaboration- 1 - October 7, 2005 Quantitative Analysis of Diffusion Tensor Measurements along White Matter Tracts Postdoctoral fellow,
The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL FADTTS: Functional Analysis of Diffusion Tensor Tract Statistics Hongtu Zhu, Ph.D. Department of Biostatistics.
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,
National Alliance for Medical Image Computing – Algorithms Core (C1a) Five investigators: –A. Tannenbaum (BU), P. Golland (MIT), M. Styner.
NA-MIC National Alliance for Medical Image Computing Training Core Update Sonia Pujol, PhD Randy Gollub, MD, PhD Harvard Medical School.
Collaborations and Architectures mBIRN Progress at BWH.
National Alliance for Medical Image Computing Slicer fMRI introduction.
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.
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.
Comparative Diffusion Tensor Imaging (DTI) Study of Tool Use Pathways in Humans, Apes and Monkeys Ashwin G. Ramayya 1,2, Matthew F. Glasser 1, David A.
(Pre-)Clinical and Applications with DTI
NA-MIC National Alliance for Medical Image Computing Harvard Psychiatry Neuroimaging Laboratory Site PI: Martha E. Shenton, Ph.D....
NA-MIC National Alliance for Medical Image Computing Core 1 & Core 3 Projects.
NA-MIC National Alliance for Medical Image Computing Shape Analysis and Cortical Correspondence Martin Styner Core 1 (Algorithms), UNC.
Surgical Planning Laboratory Brigham and Women’s Hospital Boston, Massachusetts USA a teaching affiliate of Harvard Medical School Overview Ron Kikinis,
2004 All Hands Meeting Morphometry BIRN: Milestones for 2005 Jorge Jovicich PhD Steve Pieper, PhD David Kennedy, PhD.
A longitudinal study of brain development in autism Heather Cody Hazlett, PhD Heather Cody Hazlett, PhD Neurodevelopmental Disorders Research Center &
NA-MIC National Alliance for Medical Image Computing DTI Atlas Registration via 3D Slicer and DTI-Reg Martin Styner, UNC Clement Vachet,
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 Outreach Randy L. Gollub, MD, PhD Cores 5/6: Training & Dissemination Representing.
NA-MIC National Alliance for Medical Image Computing NAMIC UNC Site Update Site PI: Martin Styner Site NAMIC folks: Clement Vachet, Gwendoline.
NCBC EAB, January 2010 NA-MIC Highlights: A Core 1 Perspective Ross Whitaker University of Utah National Alliance for Biomedical Image Computing.
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 National Alliance for Medical Image Computing: NAMIC Ron Kikinis, M.D.
NA-MIC National Alliance for Medical Image Computing Core 3.1 Activities Harvard - Psychiatry Neuroimaging Laboratory and Dartmouth -
Surgical Planning Laboratory -1- Brigham and Women’s Hospital Converting DTI data into Nrrd file format Sonia Pujol, Ph.D. Gordon.
NA-MIC - Contrasting Tractography Method Conference Utah/UNC results Sylvain Gouttard Guido Gerig Casey Goodlett Santa Fe, October 1 st & 2 nd 2007.
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
NA-MIC National Alliance for Medical Image Computing fMRI in NAMIC Facilitator: Polina Golland Presenters: Jim Fallon and Andy Saykin.
NA-MIC National Alliance for Medical Image Computing NAMIC UNC Site Update Site PI: Martin Styner UNC Site NAMIC folks: C Vachet, G Roger,
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 Core 3.1 Activities Harvard - Psychiatry Neuroimaging Laboratory and Dartmouth -
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.
NA-MIC National Alliance for Medical Image Computing Core 5: Training.
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.
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.
Corpus Callosum Probabilistic Subdivision based on Inter-Hemispheric Connectivity Martin Styner1,2, Ipek Oguz1, Rachel Gimpel Smith2, Carissa Cascio2,
DT-MRI BWH, MIT Carl-Fredrik Westin, Lauren O’Donnell, Raul San-Jose, Ola Friman, Gordon Kindlmann, William Wells, Sylvain Bouix, Marek Kubicki,
Diffusion Image Analysis
Harvard Psychiatry Neuroimaging Laboratory
Harvard Psychiatry Neuroimaging Laboratory
Core 3-1 Schizophrenia NA-MIC
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:
Core 5: Training Randy Gollub, MD PhD Guido Gerig, PhD
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 – Behavioral Performance Interim analysis

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 Interim analysis

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

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

National Alliance for Medical Image Computing Functional MRI – Behavioral Performance Verbal Encoding/Retrieval Episodic Memory Task Interim analysis

National Alliance for Medical Image Computing Functional MRI – Behavioral Performance Verbal Encoding/Retrieval Episodic Memory Task Interim analysis

National Alliance for Medical Image Computing Functional MRI FMRI Activation During Continuous Auditory-Verbal Memory (new > old word contrast) in Patients with Schizophrenia Patients N = 7 p =.01 Interim analysis Verbal Encoding/Retrieval Episodic Memory Task

National Alliance for Medical Image Computing Collaborations and Progress  Shape Analysis with UNC Group: Martin Styner, Guido Gerig  Hippocampal Shape - Dartmouth Data: SPHARM Overall Mean Left Mean Right Mean Skeleton-based subdivision

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  Dartmouth request for tools to help relate DTI fiber tract pathways to connections in fMRI identified circuits  Collaboration to implement DTI Path of Interest Program at Dartmouth site  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 & Developments 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/AD, MS, TBI, epilepsy, other disorders

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

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

National Alliance for Medical Image Computing Brain Imaging Laboratory: People FACULTY PIs (Psychiatry): Laura A. Flashman, Ph.D. Alan I. Green, M.D. Thomas W. McAllister, M.D. Brenna C. McDonald, Psy.D. Robert M. Roth, Ph.D. Andrew J. Saykin, Psy.D. Heather A. Wishart, Ph.D. POST-DOCTORAL FELLOWS: Howard Cleavinger, Ph.D. (Epilepsy) Ellen Crouse, Ph.D. (MCI, chemotherapy) Nancy Koven, Ph.D. (Schizophrenia) Nadia Paré Ph.D. (MCI, ADNI) Jo Cara Pendergrass, Ph.D. (Schizophrenia) KEY TECHNICAL COLLABORATORS: Konstantinos Arfanakis, Ph.D. (DTI; IIT) Fillia Makedon, Ph.D. (Computer Science) James C. Ford, Ph.D. (Computer Science) Li Shen, Ph.D. (CS, UMASS-Dartmouth) Jason Moore, Ph.D. (Comp Genetics) BIL COORDINATOR Heather Pixley, B.A. IMAGE ANALYSTS & SYSTEMS ADMIN: John MacDonald, M.A. Tara McHugh, M.A. Paul Wang, B.A. John West, M.S. STUDY COORDINATORS: Mary Hynes, RN (TBI) Ariel Rosen, B.A. (MS) NEUROSCIENCE TECHNICIANS: Carrie Kruck, B.A. (chemotherapy) Margaret Nordstrom, B.A. (MCI) RESEARCH MRI TECHNOLOGISTS: Jorge A. Forero Alice E. Davison

National Alliance for Medical Image Computing Dartmouth Brain Imaging Laboratory December, 2005