This proposal aims to support the development of a new """"""""Connectom"""""""" diffusion imaging system, designed with advanced gradient technology (300 mT/m gradient set in an advanced 3T instrument), and optimized for the collection of in vivo structural connectivity data from healthy adult humans. Following installation and optimization of this novel system, we will scan normal human subjects, including a number of subjects recruited from the other HCP site, and begin initial development of software to analyze this data and compare, document and disseminate the results obtained against those developed by other connectomics efforts, including the other HCP site. This work will be integral part of the collaborative HCP effort to construct a map of the human connectome that represents the structural and functional connections in vivo within a brain and across individuals. As a result, this work has significant potential to dramatically advance capabilities to measure the human Connectome, by aggressively optimizing non-invasive imaging technology toward Connectome measurements. This effort builds upon existing multidisciplinary collaboration between Massachusetts General Hospital/Harvard Medical School (MGH) and the University of California-Los Angeles (UCLA), and employs a multiple PI leadership approach, providing a rigorous system of leadership, organization, and oversight to this program of bioengineering, optimization and validation that aims to improve the ability of Diffusion Spectrum Imaging (DSI) to map connectivity in the living human brain.

Public Health Relevance

By fostering investigation of human neural connectivity, the new technology developed through this project has potential to improve understanding of the structure and function relationship in the human brain, and therefore, ultimately facilitate advances in the diagnosis and treatment of many psychiatric and neurological diseases.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01MH093765-03
Application #
8328570
Study Section
Special Emphasis Panel (ZMH1-ERB-C (04))
Program Officer
Farber, Gregory K
Project Start
2010-09-15
Project End
2015-08-31
Budget Start
2012-09-01
Budget End
2013-08-31
Support Year
3
Fiscal Year
2012
Total Cost
$1,360,644
Indirect Cost
$278,742
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02199
Tian, Qiyuan; Rokem, Ariel; Folkerth, Rebecca D et al. (2016) Q-space truncation and sampling in diffusion spectrum imaging. Magn Reson Med :
Konukoglu, Ender; Coutu, Jean-Philippe; Salat, David H et al. (2016) Multivariate statistical analysis of diffusion imaging parameters using partial least squares: Application to white matter variations in Alzheimer's disease. Neuroimage 134:573-86
Polimeni, Jonathan R; Bhat, Himanshu; Witzel, Thomas et al. (2016) Reducing sensitivity losses due to respiration and motion in accelerated echo planar imaging by reordering the autocalibration data acquisition. Magn Reson Med 75:665-79
Bilgic, Berkin; Xie, Luke; Dibb, Russell et al. (2016) Rapid multi-orientation quantitative susceptibility mapping. Neuroimage 125:1131-41
Makris, Nikolaos; Rathi, Yogesh; Mouradian, Palig et al. (2016) Variability and anatomical specificity of the orbitofrontothalamic fibers of passage in the ventral capsule/ventral striatum (VC/VS): precision care for patient-specific tractography-guided targeting of deep brain stimulation (DBS) in obsessive compulsive Brain Imaging Behav 10:1054-1067
Huang, Susie Y; Tobyne, Sean M; Nummenmaa, Aapo et al. (2016) Characterization of Axonal Disease in Patients with Multiple Sclerosis Using High-Gradient-Diffusion MR Imaging. Radiology 280:244-51
Sabuncu, Mert R; Ge, Tian; Holmes, Avram J et al. (2016) Morphometricity as a measure of the neuroanatomical signature of a trait. Proc Natl Acad Sci U S A 113:E5749-56
Fjell, Anders M; Sneve, Markus H; Storsve, Andreas B et al. (2016) Brain Events Underlying Episodic Memory Changes in Aging: A Longitudinal Investigation of Structural and Functional Connectivity. Cereb Cortex 26:1272-86
DeSalvo, Matthew N; Tanaka, Naoaki; Douw, Linda et al. (2016) Resting-State Functional MR Imaging for Determining Language Laterality in Intractable Epilepsy. Radiology 281:264-9
Fan, Qiuyun; Witzel, Thomas; Nummenmaa, Aapo et al. (2016) MGH-USC Human Connectome Project datasets with ultra-high b-value diffusion MRI. Neuroimage 124:1108-14

Showing the most recent 10 out of 90 publications