Abstract

The analysis and visualization of high field magnetic resonance imaging (MRI) and spectroscopy (MRS) data require cutting-edge computational resources and expertise, because of their increasing size and complexity. Although these advances will undoubtedly improve our understanding of brain development, aging and disorders, it can also be a significant barrier for investigators. Therefore, the overall goal of this core is to provide unique and easily accessible processing resources for human and animal neuroimaging research, which will empower researchers to efficiently produce state-of-the-art results, and generate high-quality images from CMRR's high and ultrahigh field MR scanners.
Aim 1 : To provide MRI data reconstruction and pre-processing expertise and tools, including parallel imaging, artifacts and distortion correction.
Aim 2 : To provide expertise and computational resources for MRI data analysis, including registration, segmentation, diffusion models fitting (tensor, crossing fibers models, microstructure), tractography, and fMRI statistical analysis.
Aim 3 : To provide quantitative imaging analysis capabilities, including generating quantitative brain maps of relaxation times.
Aim 4 : To provide processing and metabolite quantification capabilities for MRS.
Aim 5 : To provide data storage, organization and visualization capabilities.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Center Core Grants (P30)
Project #
2P30NS076408-06
Application #
9432739
Study Section
Special Emphasis Panel (ZNS1)
Project Start
Project End
Budget Start
2017-09-01
Budget End
2018-08-31
Support Year
6
Fiscal Year
2017
Total Cost
Indirect Cost

  Institution

Name
University of Minnesota Twin Cities
Department
Type
DUNS #
555917996
City
Minneapolis
State
MN
Country
United States
Zip Code
55455

  Publications

Zhang, Simeng; Connolly, Allison T; Madden, Lauren R et al. (2018) High-resolution local field potentials measured with deep brain stimulation arrays. J Neural Eng 15:046019
Deelchand, Dinesh K; Auerbach, Edward J; Marja?ska, Ma?gorzata (2018) Apparent diffusion coefficients of the five major metabolites measured in the human brain in vivo at 3T. Magn Reson Med 79:2896-2901
Moerel, Michelle; De Martino, Federico; Kemper, Valentin G et al. (2018) Sensitivity and specificity considerations for fMRI encoding, decoding, and mapping of auditory cortex at ultra-high field. Neuroimage 164:18-31
Plantinga, Birgit R; Temel, Yasin; Duchin, Yuval et al. (2018) Individualized parcellation of the subthalamic nucleus in patients with Parkinson's disease with 7T MRI. Neuroimage 168:403-411
Deelchand, Dinesh K; Kantarci, Kejal; Öz, Gülin (2018) Improved localization, spectral quality, and repeatability with advanced MRS methodology in the clinical setting. Magn Reson Med 79:1241-1250
Slopsema, Julia P; Peña, Edgar; Patriat, Remi et al. (2018) Clinical deep brain stimulation strategies for orientation-selective pathway activation. J Neural Eng 15:056029
Joers, James M; Deelchand, Dinesh K; Lyu, Tianmeng et al. (2018) Neurochemical abnormalities in premanifest and early spinocerebellar ataxias. Ann Neurol 83:816-829
Deelchand, Dinesh K; Auerbach, Edward J; Kobayashi, Naoharu et al. (2018) Transverse relaxation time constants of the five major metabolites in human brain measured in vivo using LASER and PRESS at 3 T. Magn Reson Med 79:1260-1265
Pisharady, Pramod Kumar; Sotiropoulos, Stamatios N; Duarte-Carvajalino, Julio M et al. (2018) Estimation of white matter fiber parameters from compressed multiresolution diffusion MRI using sparse Bayesian learning. Neuroimage 167:488-503
Olman, Cheryl A; Bao, Pinglei; Engel, Stephen A et al. (2018) Hemifield columns co-opt ocular dominance column structure in human achiasma. Neuroimage 164:59-66

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