NIH Blueprint: The Human Connectome Project

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Event Details | May 15, 2012

HCP at OHBM 2012

OHBM 2012

This year’s OHBM conference comes at a time when our project is in the middle of an exciting transition. We are preparing to begin Phase II of the project, in which we collect scan data from 1,200 human subjects, and will soon release Phase 1 Pilot Data for the scientific community at large. In addition, we have an early release of a powerful open-source software tool to debut: Connectome Workbench, which allows users to explore connections in the brain in three dimensions.

Here is a rundown of the HCP presence at this year’s Human Brain Mapping conference.

Educational Course: “The Connectome”

HCP investigator Heidi Johansen-Berg (Oxford University) co-led a comprehensive two-part course on building and data-mining the connectome. Additionally, HCP investigators David Van Essen and Mark Woolrich lectured on key components. According to the course curriculum, attendees learned to:

  1. Understand methods for acquisition and analysis of diffusion MRI, resting state FMRI, EEG and MEG data;
  2. Understand network modelling methods for connectomics;
  3. Give examples of approaches to visualising connectomes; and
  4. Give examples of applications of connectomics to understanding brain function and dysfunction.

Educational Course: “Imaging Genetics”

HCP investigator Thomas Nichols (University of Warwick) co-led a course on the emerging realm of imaging genetics for OHBM 2012 attendees. With a cohort of 1,200 subjects made up of twin and non-twin siblings, the combined imaging and genetic data assembled Human Connectome Project will provide a trove for future analysis. According to the course prospectus, attendees learned to:

  1. Understand the fundamentals of the molecular basis of genetic variation, and how that variation is modeled in traditional genetics studies.
  2. Understand the difference between linkage, association and heritability analyses.
  3. Understand the relative strengths & weaknesses of each different type of brain imaging phenotype used to find genetic association.
  4. Understand how imaging genetics can be applied to areas like schizophrenia or Williams’s syndrome.

More HCP-related talks:

In addition to these two full courses, there were ample opportunities to be enlightened on connectome-related topics.

Sunday Courses: David Van Essen (Washington University in St Louis), Christian Beckmann (Radboud University Nijmegen), Noam Harel (University of Minnesota), and Thomas Nichols (University of Warwick) spoke as part of courses on the anatomy of the brain and its impact on imaging,  resting-state brain networks, as well as advanced fMRI.

Monday Symposium: Heidi Johansen-Berg presented “Dynamic Changes in Neurochemistry and Brain Structure with Learning and Brain Stimulation” as part of a symposium on what brain imaging can tell us about motor learning.

Tuesday Morning Workshop: Mark Woolrich (Oxford University) presented “Measuring Electrodynamic Connectivity: Observations using Magnetoencephalography” and Stephen Smith (Oxford University) presented “Functionally-Distinct Spatially-Overlapping Brain Modes” as part of a workshop entitled: From Static to Dynamic Descriptions: Non-Stionarity in Functional and Effective Brain Connectivity led by Christian Beckmann (Radboud University Nijmegen).

Tuesday Oral Session: Matthew Glasser (Washington University in St. Louis) presented “Surface Gradient Comparision of Myelin and fMRI: Architectonic and Functional Border Co-Localization” as part of an oral session on neuroanatomy.

Tuesday Symposium: Maurizio Corbetta (Washington University in St Louis) presented “A Frequency-Specific Mechanism that Links Human Brain Networks During Task Performance” as part of a symposium on relationships between functional networks assessed by fMRI and EEG/MEG/ECoG.

Wednesday Morning Workshop: David Feinberg (Advanced MRI Technologies, University of California, Berkeley) presented “Simultaneous Multiplexed EPI for Improved fMRI and Diffusion Imaging” as part of a workshop on ultra-high speed fMRI: methods, sensitivity increases and applications.

Wednesday Symposium: Essa Yacoub (University of Minnesota) presented “Mapping Columnar-Level Organizations in Human early Visual Areas with Ultra-High Field fMRI” as part of a symposium on cracking the columnar-level code in the visual cortex with ultra-high field fMRI.

Thursday Morning Workshop: Thomas Nichols (University of Warwick) led a workshop entitled “Where’s your signal? Explicit Spatial Models to Improve Interpretability and Sensitivity of Neuroimaging Results” in which he presented “What the Mass Univariate Model Doesn’t Tell You”.

HCP Poster Presentations


Visit us at Booth 206

A variety of posters from HCP investigators and colleagues were on display at OHBM 2012. Follow links to a PDF of each poster.

Surface Gradient Comparison of Myelin and fMRI: Architectonic and Functional Border Co-localization

Matthew Glasser1, Gregory Burgess1, Junqian Xu2, Yizheng He1, Deanna Barch1, Timothy Coalson1, Bruce Fischl3, Michael Harms1, Mark Jenkinson4, Brian Patenaude5, Steven Petersen6, Bradley Schlaggar6, Stephen Smith7, Mark Woolrich4, Essa Yacoub8, David Van Essen6

Cognitive implications of component fractionation across BrainMap task-based ICA networks

Kimberly Ray1, Reese McKay2, Mickle Fox3, Christian Beckmann4, Stephen Smith5, Peter Fox6, Angela Laird7

Resting state networks are characterized by high frequency BOLD fluctuations

Erik van Oort1, David Norris2, Stephen Smith3, Christian Beckmann1

Causality among fMRI networks: how reliable are common estimators?

Jaroslav Hlinka1, David Hartman1, Milan Paluš1, Martin Vejmelka1, Dante Mantini2, Maurizio Corbetta3

The WU-Minn Human Connectome Project – an Update

David Van Essen1, Kamil Ugurbil2

Engineering the Human Connectome Project: Concepts and Realization of High Performace MR

Keith Heberlein1, Ralph Kimmlingen2, Eva Eberlein2, Philipp Hoecht1, Dingxin Wang3, Thomas Witzel4, M. Dylan Tisdall4, Boris Keil4, Gregor Adriany5, Edward Auerbach5, Junqian Xu5, Essa Yacoub5, Steen Moeller5, David Feinberg6, Lawrence Wald4, Kamil Ugurbil5, David Van Essen7, Van Wedeen8, Franz Schmitt2

Layer specific fMRI correlates of motion processing in human cortical areas V1 and MT

Denis Chaimow1, Essa Yacoub2, David Feinberg3, Ute Goerke1, Kamil Ugurbil1, Amir Shmuel4,5

Geometrical distortions of 7T MRI and their implications for clinical applications

Yuval Duchin1, Aviva Abosch1, Essa Yacoub1, Guillermo Sapiro1, Noam Harel1

Field strength effects on brain structural connectivity and networks in HARDI

Liang Zhan1, Neda Jahanshad2, Christophe Lenglet3, Bryon A. Mueller3, Guillermo Sapiro3, Noam Harel3, Kelvin O. Lim3, Paul Thompson4

Connectivity-based parcellation of the human right ‘temporoparietal junction area’ (TPJ)

Rogier Mars1, Jerome Sallet1, Urs Schuffelgen1, Saad Jbabdi2, Ivan Toni3, Matthew Rushworth1

Connectivity-based parcellation of the dorsal frontal cortex

Jerome Sallet1, MaryAnn Noonan1, Rogier Mars1, Saad Jbabdi2, Jill O’Reilly1, Matthew Rushworth1

Increasing Power for Voxel-wise Genome-wide Association Studies

Tian Ge1,2, Thomas Nichols3, Jianfeng Feng1,2, Derrek Hibar4, Paul Thompson4

Permutation Methods for Imaging Genetic Analysis on Pedigrees

Anderson Winkler1, Peter Kochunov2, John Blangero3, David Glahn1, Thomas Nichols4

Erdös-Rényi Mixture Model for Finding Community Structure in Brain Networks

Dragana Pavlovic1, Petra Vertes2, Mikail Rubinov2, Edward Bullmore3, Thomas Nichols1

HCP Booth 206: Software Demos and more

Connectome Workbench (beta 1 release): This powerful open-source tool allows users to visualize connectivity data on both the surface and interior volume of the brain, and provides a series of tools to amplify research tasks.

HCP Pilot 1 data and HCP TFM Release 1 data: For those of you who have not had a chance to explore the Human Connectome Project’s pilot data releases, see them in use as we walk through our software demos.

For more information, visit the OHBM 2012 website.

Posted by Will Horton @ 10:18 am