The NINDS P30 center core at Washington University (WashU), which operates as the Neuroimaging Informatics and Analysis Center (NIAC), was established in 2004 to facilitate neuroimaging as a core research tool in the drive to better understand and treat neurological conditions and diseases. Neuroimaging-based research at Washington University covers the spectrum from preclinical small animal studies to large-scale clinical trials to translational use of novel imaging methods in the clinic. In recent years, this research has become more expansive to include larger patient cohorts, more complex imaging protocols, greater diversity of clinical, genetic, and behavioral measures, and more extensive quantitative post-processing and analysis. This research covers a diversity of neurological diseases and conditions, including stroke, traumatic brain injury, Parkinson's Disease, Alzheimer's disease, multiple sclerosis, and epilepsy. The overarching mission of the NIAC is to facilitate the full range of this research through a suite of innovative imaging physics, informatics, and analysis services supported by a rich consulting and educational program. With this continuation proposal, we will expand the Center's services to support the evolving practices of our investigators.
Specific Aim 1 will facilitate large scale, interdisciplinary neuroimaging-based research by providing a comprehensive informatics infrastructure that provides data management and automated image processing services for small animal imaging and human imaging obtained at WashU facilities and in multi- center clinical studies.
Specific Aim 2 will facilitate the development and adoption of new neuroimaging methods in clinical research and clinical practice by providing active expert consulting, MRI physics support, and advanced software development services. The NIAC will include three cores to achieve these aims. The Administrative Core will oversee the Center's operations and allocation of resources, operate an active outreach and education program, and ensure a high level of communication between the Center's faculty and staff and the neuroscience community. The Informatics Core will provide software and hardware to integrate the imaging facilities, provide database services, execute automated and semi-automated image processing pipelines, and share data within collaborative networks and the broader research community. The Imaging Core will provide direct user support through consulting services and training programs and will lead the effort to develop and transition new methods to the Center's users. The Center will be overseen by a Steering Committee composed of Center users and domain experts with deep and diverse experience. The three cores, under the Steering Committee's guidance, will work closely together to provide a comprehensive suite of services and resources to support the University's neuroimaging community.

Public Health Relevance

Neuroimaging is one of the key methods used by biomedical researchers to study the brain in health and disease. The NINIDS Center Core for Brain Imaging provides informatics, imaging, analysis, and educational services resources to Washington University investigators via the Neuroimaging Informatics and Analysis Center (NIAC) to facilitate their basic, translational, and clinical research as applied to neurological conditions and disease.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Center Core Grants (P30)
Project #
5P30NS098577-03
Application #
9537702
Study Section
Special Emphasis Panel (ZNS1)
Program Officer
Lavaute, Timothy M
Project Start
2016-07-01
Project End
2020-06-30
Budget Start
2018-07-01
Budget End
2019-06-30
Support Year
3
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Washington University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130
Milchenko, Mikhail; Snyder, Abraham Z; Campbell, Meghan C et al. (2018) ESM-CT: a precise method for localization of DBS electrodes in CT images. J Neurosci Methods 308:366-376
Su, Yi; Flores, Shaney; Hornbeck, Russ C et al. (2018) Utilizing the Centiloid scale in cross-sectional and longitudinal PiB PET studies. Neuroimage Clin 19:406-416
Greene, Deanna J; Koller, Jonathan M; Hampton, Jacqueline M et al. (2018) Behavioral interventions for reducing head motion during MRI scans in children. Neuroimage 171:234-245
Marek, Scott; Dosenbach, Nico U F (2018) The frontoparietal network: function, electrophysiology, and importance of individual precision mapping. Dialogues Clin Neurosci 20:133-140
Snyder, Abraham Z; Bauer, Adam Q (2018) Mapping Structure-Function Relationships in the Brain. Biol Psychiatry Cogn Neurosci Neuroimaging :
Javaherian, Kavon; Newman, Brianne M; Weng, Hua et al. (2018) Examining the Complicated Relationship Between Depressive Symptoms and Cognitive Impairment in Preclinical Alzheimer Disease. Alzheimer Dis Assoc Disord :
Blazey, Tyler; Snyder, Abraham Z; Su, Yi et al. (2018) Quantitative positron emission tomography reveals regional differences in aerobic glycolysis within the human brain. J Cereb Blood Flow Metab :271678X18767005
Eldeniz, Cihat; Fraum, Tyler; Salter, Amber et al. (2018) CAPTURE: Consistently Acquired Projections for Tuned and Robust Estimation: A Self-Navigated Respiratory Motion Correction Approach. Invest Radiol 53:293-305
Gratton, Caterina; Laumann, Timothy O; Nielsen, Ashley N et al. (2018) Functional Brain Networks Are Dominated by Stable Group and Individual Factors, Not Cognitive or Daily Variation. Neuron 98:439-452.e5
Bauer, Adam Q; Kraft, Andrew W; Baxter, Grant A et al. (2018) Effective Connectivity Measured Using Optogenetically Evoked Hemodynamic Signals Exhibits Topography Distinct from Resting State Functional Connectivity in the Mouse. Cereb Cortex 28:370-386

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