The Analysis Core integrates Penn's world-class research and development programs in neuroimaging data analysis to provide consultation and customization for experimental and statistical design, image processing and analysis, and data visualization and interpretation. In addition to advanced techniques and tools, that cover the range of data analysis and processing tasks relevant to statistical infer13nce in structural and functional imaging studies of the brain, many of which originated at Penn, the Core collaborates with the Informatics Core to establish robust neuroimage processing pipelines with minimal failure rate that scale to the cluster and cloud computing needed for large studies, and with the Acquisition Core to match analysis strategies to acquisition methods. Supported effort, leveraging the expertise and experience of Core investigators, allows services that specialize these standard workflows to improve detection power in novel study designs. These resources together with other stand-alone capabilities can be accessed either through local user installations or using Informatics Core facilities. In addition to individual consultation and training, dissemination to the general NNC community occurs through tutorials, seminars by Core personnel, institutionally sponsored workshops, and other programmed outreach activities that promote open science at Penn and beyond. In the next project period, the Core will continue its successful track record of linking with the Acquisition and Informatics Cores to drive development of, and transfer to NNC users, the next generation of methodological innovations in neuroimaging analysis.

Public Health Relevance

The Analysis Core integrates resources and expertise in neuroimaging analysis at the University of Pennsylvania to provide support for both preclinical and clinical neuroimaging research relevant to the NINDS mission to reduce the burden of neurological disease.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Center Core Grants (P30)
Project #
2P30NS045839-11A1
Application #
8783811
Study Section
Special Emphasis Panel (ZNS1-SRB-B (38))
Project Start
Project End
Budget Start
2014-02-01
Budget End
2015-01-31
Support Year
11
Fiscal Year
2014
Total Cost
$170,208
Indirect Cost
$63,828
Name
University of Pennsylvania
Department
Type
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Emerit, Michel Boris; Baranowski, Camille; Diaz, Jorge et al. (2016) A New Mechanism of Receptor Targeting by Interaction between Two Classes of Ligand-Gated Ion Channels. J Neurosci 36:1456-70
Dolui, Sudipto; Wang, Ze; Shinohara, Russell T et al. (2016) Structural Correlation-based Outlier Rejection (SCORE) algorithm for arterial spin labeling time series. J Magn Reson Imaging :
Spitschan, Manuel; Datta, Ritobrato; Stern, Andrew M et al. (2016) Human Visual Cortex Responses to Rapid Cone and Melanopsin-Directed Flicker. J Neurosci 36:1471-82
Jung, Wi Hoon; Prehn, Kristin; Fang, Zhuo et al. (2016) Moral competence and brain connectivity: A resting-state fMRI study. Neuroimage 141:408-15
Mattar, Marcelo G; Kahn, David A; Thompson-Schill, Sharon L et al. (2016) Varying Timescales of Stimulus Integration Unite Neural Adaptation and Prototype Formation. Curr Biol 26:1669-76
Zheng, Yuanjie; Wei, Benzheng; Liu, Hui et al. (2015) Measuring sparse temporal-variation for accurate registration of dynamic contrast-enhanced breast MR images. Comput Med Imaging Graph 46 Pt 1:73-80
Prehn, Kristin; Korczykowski, Marc; Rao, Hengyi et al. (2015) Neural correlates of post-conventional moral reasoning: a voxel-based morphometry study. PLoS One 10:e0122914
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
Pouch, Alison M; Tian, Sijie; Takebe, Manabu et al. (2015) Medially constrained deformable modeling for segmentation of branching medial structures: Application to aortic valve segmentation and morphometry. Med Image Anal 26:217-31
Cucchiara, Brett; Datta, Ritobrato; Aguirre, Geoffrey K et al. (2015) Measurement of visual sensitivity in migraine: Validation of two scales and correlation with visual cortex activation. Cephalalgia 35:585-92

Showing the most recent 10 out of 151 publications