Management and analysis of the very large data sets with ultra-high information content acquired by the neurolmaging and neurophysiology Cores requires specialized expertise and resources. Core 4 implements and supports usage of state-of-the-art image processing and data analysis programs for neuroscientists using Cores 1, 2 and 3. While a large number of software analysis packages and methods have been developed for human MRI data, the packages available for animal MRI and MRS have been limited. To address these limitations Core 4 created a suite of tools optimized for processing of small animal MR data and integrated them with various commercial and in-house software, which together provides support for all software needs of QNMR Core Center scientists and collaborating Pis. Users rely on a server-based high-performance cluster that provides rapid data access, backup, and sharing. The qualifying user group of Core 4 consists of 11 Pis funded by NINDS who along with 17 other NIH-funded Pis use multi-modal MR/neurophysiology software tools to process data to answer fundamental questions in basic and clinical neuroscience. The impact of Core 4 of Yale's QNMR Core Center is evidenced by its support of 32 NIH grants and 9 new research initiatives that led to papers and grants, the training of 5 neuroscientists (3 in NINDS PI laboratories) in advanced MRI/MRS data analysis and processing, and the use of Core 4 developed software in 51 papers that led to 388 citations (for Core 4 alone this represents 32% of the total citations for 106 papers for all Cores). For the next cycle, we will continue to implement, maintain, arid support innovative advanced and user-specific data analysis tools for Core 4 users, support new research initiatives, train and provide mentorship for neuroscience Pis and their personnel for Core 4 usage, facilitate synergistic use of MR/neurophysiological measurements and project specific data analysis, implement new image processing and data analysis methods to support neuroscience Pis, and track Core 4 activities and disseminate/share resources to NIH community. The implemented methods include user-specific tools needed to efficiently analyze cross-modal data to enhance NINDS- and NIH-funded research.

Public Health Relevance

Management and analysis of very large data sets with ultra-high information content acquired by the neurolmaging and neurophysiology cores requires specialized expertise and resources. Core 4 will support the development and integration of data manipulation and analysis tools by neuroscientists using all other Cores. The goals of this Core will advance NIH-supported projects of direct relevance to public health, and is consistent with the NINDS mission to promote treatment of neurological disorders.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Center Core Grants (P30)
Project #
2P30NS052519-06A1
Application #
8732259
Study Section
Special Emphasis Panel (ZNS1-SRB-B (38))
Project Start
Project End
Budget Start
2014-01-01
Budget End
2014-12-31
Support Year
6
Fiscal Year
2014
Total Cost
$118,781
Indirect Cost
$47,441
Name
Yale University
Department
Type
DUNS #
043207562
City
New Haven
State
CT
Country
United States
Zip Code
06520
Shu, Christina Y; Herman, Peter; Coman, Daniel et al. (2016) Brain region and activity-dependent properties of M for calibrated fMRI. Neuroimage 125:848-56
Zhan, Qiong; Buchanan, Gordon F; Motelow, Joshua E et al. (2016) Impaired Serotonergic Brainstem Function during and after Seizures. J Neurosci 36:2711-22
Park, Kellie A; Ribic, Adema; Laage Gaupp, Fabian M et al. (2016) Excitatory Synaptic Drive and Feedforward Inhibition in the Hippocampal CA3 Circuit Are Regulated by SynCAM 1. J Neurosci 36:7464-75
Hsieh, Lawrence S; Wen, John H; Claycomb, Kumiko et al. (2016) Convulsive seizures from experimental focal cortical dysplasia occur independently of cell misplacement. Nat Commun 7:11753
Coman, Daniel; Huang, Yuegao; Rao, Jyotsna U et al. (2016) Imaging the intratumoral-peritumoral extracellular pH gradient of gliomas. NMR Biomed 29:309-19
Kaneko, Gen; Sanganahalli, Basavaraju G; Groman, Stephanie M et al. (2016) Hypofrontality and Posterior Hyperactivity in Early Schizophrenia: Imaging and Behavior in a Preclinical Model. Biol Psychiatry :
Pirazzoli, Valentina; Ayeni, Deborah; Meador, Catherine B et al. (2016) Afatinib plus Cetuximab Delays Resistance Compared to Single-Agent Erlotinib or Afatinib in Mouse Models of TKI-Naïve EGFR L858R-Induced Lung Adenocarcinoma. Clin Cancer Res 22:426-35
Shu, Christina Y; Sanganahalli, Basavaraju G; Coman, Daniel et al. (2016) Quantitative β mapping for calibrated fMRI. Neuroimage 126:219-28
Juchem, Christoph; de Graaf, Robin A (2016) The public multi-coil information (PUMCIN) policy. Magn Reson Med :
Hyder, Fahmeed; Herman, Peter; Bailey, Christopher J et al. (2016) Uniform distributions of glucose oxidation and oxygen extraction in gray matter of normal human brain: No evidence of regional differences of aerobic glycolysis. J Cereb Blood Flow Metab 36:903-16

Showing the most recent 10 out of 124 publications