There has been an exponential growth in the utilization of neuroimaging in almost every aspect of basic and clinical neuroscience. Imaging methods are typically the sole means of directly assessing human brain parenchyma in vivo, providing an important link between brain and behavior. For translational neuroscience, imaging provides a critical link to postmortem tissue examination and to animal models of human brain disorders. However, few investigators possess the entire range of skills needed to carry out successful neuroimaging research. The Neuroscience Neuroimaging Center was established in 2003 to provide researchers at the University of Pennsylvania and collaborating institutions with access to state-of-the-art facilities and multidisciplinary expertise in neuroimaging. By consolidating local resources and expertise, uniform access to the latest technical capabilities can be provided to all investigators, thereby promoting early adoption of new methods and new research directions. In addition to managing a neuroscience-dedicated 3 Tesla whole-body MRI system, ancillary hardware, and an extensive computing facility, the NNC also consolidates a broad range of neuroimaging expertise through the participation of scientists and staff from several leading neuroimaging laboratories on campus along with expertise in research administration and regulatory affairs pertaining to neuroimaging. During the next funding period, this successful model for infrastructure support will be extended to animal neuroimaging on a newly installed 9.4 Tesla horizontal bore MRI system, to ultra-high-field human neuroimaging using a 7 Tesla whole-body MRI system that will be installed at Penn in 2008, and to in vivo optical neuroimaging. Support will continue to be provided through four existing modules. An Administrative Core provides oversight for the NNC, administrative support for NNC resources, and regulatory support for NNC users and is guided by a Steering Committee comprised of Core Directors and PIs of qualifying projects. A Data Acquisition Core provides technical support for imaging protocol development and implementation, image acquisition and quality assurance, and for ancillary measures of physiology and behavior. A Morphology and Statistics Core supports structural morphometry, diffusion tensor imaging and tractography, localized and global brain segmentation, image visualization, statistical modeling, and genomic analyses. A Computing Core maintains state-of-the-art data processing facility with distributed computing, data storage and archiving, integration of neuroimaging data analysis environments, and provides system administration support to users.

National Institute of Health (NIH)
National Institute of Neurological Disorders and Stroke (NINDS)
Center Core Grants (P30)
Project #
Application #
Study Section
National Institute of Neurological Disorders and Stroke Initial Review Group (NSD)
Program Officer
Talley, Edmund M
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of Pennsylvania
Schools of Medicine
United States
Zip Code
Kandel, Benjamin M; Wang, Danny J J; Gee, James C et al. (2015) Eigenanatomy: sparse dimensionality reduction for multi-modal medical image analysis. Methods 73:43-53
Benson, Noah C; Butt, Omar H; Brainard, David H et al. (2014) Correction of distortion in flattened representations of the cortical surface allows prediction of V1-V3 functional organization from anatomy. PLoS Comput Biol 10:e1003538
Boylan, Christine; Trueswell, John C; Thompson-Schill, Sharon L (2014) Multi-voxel pattern analysis of noun and verb differences in ventral temporal cortex. Brain Lang 137:40-9
Woo, John H; Wang, Sumei; Melhem, Elias R et al. (2014) Linear associations between clinically assessed upper motor neuron disease and diffusion tensor imaging metrics in amyotrophic lateral sclerosis. PLoS One 9:e105753
Favilla, Christopher G; Mesquita, Rickson C; Mullen, Michael et al. (2014) Optical bedside monitoring of cerebral blood flow in acute ischemic stroke patients during head-of-bed manipulation. Stroke 45:1269-74
Cucchiara, Brett; Wolf, Ronald L; Nagae, Lidia et al. (2013) Migraine with aura is associated with an incomplete circle of willis: results of a prospective observational study. PLoS One 8:e71007
Goldman, Marina; Szucs-Reed, Regina P; Jagannathan, Kanchana et al. (2013) Reward-related brain response and craving correlates of marijuana cue exposure: a preliminary study in treatment-seeking marijuana-dependent subjects. J Addict Med 7:8-16
Zheng, Yuanjie; Lin, Stephen; Kang, Sing Bing et al. (2013) Single-image vignetting correction from gradient distribution symmetries. IEEE Trans Pattern Anal Mach Intell 35:1480-94
Lawson, Gwendolyn M; Duda, Jeffrey T; Avants, Brian B et al. (2013) Associations between children's socioeconomic status and prefrontal cortical thickness. Dev Sci 16:641-52
Butt, Omar H; Benson, Noah C; Datta, Ritobrato et al. (2013) The fine-scale functional correlation of striate cortex in sighted and blind people. J Neurosci 33:16209-19

Showing the most recent 10 out of 128 publications