This proposal is to continue the NINDS Center Core for Brain Imaging (NCCBI) at Washington University. During its five years of operation, the NCCBI has become an integral resource for the University's neuroscience community, and during this time, imaging research has continued to evolve. Neuroimaging studies have become more expansive in terms of the number of research subjects involved, the types of image acquisitions utilized in protocols, the diversity of non-imaging measures that are included, and the extent of image post-processing and analysis that is conducted. The goal of the Center in the next funding cycle is to support the evolving practices of the University's neuroimaging community. The Center will achieve the following specific aims: 1. We will facilitate high throughput, highly interdisciplinary neuroimaging research. A software and hardware infrastructure will be deployed that will unify the imaging facilities, informational resources, and analytic capabilities into an organized and secure research platform. Key components will include DICOM data exchange services, an XNAT-based imaging informatics system, and integrated automated analysis pipelines. This infrastructure will be backed with expert consultation services, comprehensive documentation, and an extensive training program. 2. We will facilitate the transition of emergent imaging and analysis methods into production-grade research assets. A set of imaging methods have been identified that have associated analysis methods that are at various stages in the development pipelines, including anatomic MRI;diffusion tensor imaging;positron emission tomography studies of flow, metabolism and radioligand binding;arterial spin labeling MRI;and quantitative blood oxygen level dependent (BOLD) MRI. Through an iterative process of optimizing, automating, and documenting, we will speed the transition of these methods into investigator-friendly applications. Together these aims encapsulate a sweeping approach to supporting the University's neuroscience community by enabling the current state of the art practices and by advancing the next generation of groundbreaking practices. The NCCBI will include Administration, Informatics, and Analysis cores to achieve these aims.
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 core resources to investigators to facilitate their basic, translational, and clinical research into understanding neurological conditions and disease.
|Hacker, Carl D; Snyder, Abraham Z; Pahwa, Mrinal et al. (2017) Frequency-specific electrophysiologic correlates of resting state fMRI networks. Neuroimage 149:446-457|
|Kraft, Andrew W; Mitra, Anish; Bauer, Adam Q et al. (2017) Visual experience sculpts whole-cortex spontaneous infraslow activity patterns through an Arc-dependent mechanism. Proc Natl Acad Sci U S A 114:E9952-E9961|
|Gurney, Jenny; Olsen, Timothy; Flavin, John et al. (2017) The Washington University Central Neuroimaging Data Archive. Neuroimage 144:287-293|
|Mishra, Shruti; Gordon, Brian A; Su, Yi et al. (2017) AV-1451 PET imaging of tau pathology in preclinical Alzheimer disease: Defining a summary measure. Neuroimage 161:171-178|
|Roe, Catherine M; Babulal, Ganesh M; Head, Denise M et al. (2017) Preclinical Alzheimer's disease and longitudinal driving decline. Alzheimers Dement (N Y) 3:74-82|
|Miller-Thomas, Michelle M; Benzinger, Tammie L S (2017) Neurologic Applications of PET/MR Imaging. Magn Reson Imaging Clin N Am 25:297-313|
|Roe, Catherine M; Barco, Peggy P; Head, Denise M et al. (2017) Amyloid Imaging, Cerebrospinal Fluid Biomarkers Predict Driving Performance Among Cognitively Normal Individuals. Alzheimer Dis Assoc Disord 31:69-72|
|Su, Yi; Vlassenko, Andrei G; Couture, Lars E et al. (2017) Quantitative hemodynamic PET imaging using image-derived arterial input function and a PET/MR hybrid scanner. J Cereb Blood Flow Metab 37:1435-1446|
|Dierker, Donna; Roland, Jarod L; Kamran, Mudassar et al. (2017) Resting-state Functional Magnetic Resonance Imaging in Presurgical Functional Mapping: Sensorimotor Localization. Neuroimaging Clin N Am 27:621-633|
|Goyal, Manu S; Vlassenko, Andrei G; Blazey, Tyler M et al. (2017) Loss of Brain Aerobic Glycolysis in Normal Human Aging. Cell Metab 26:353-360.e3|
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