The objective of this proposal is to develop, evaluate, and distribute a domain ontology of cognitive paradigms for application and use in the functional neuroimaging community. This cognitive paradigm ontology, CogPO, will be developed through the integration of two well known and established databases, the Functional Imaging Biomedical Informatics Research Network (FBIRN) Human Imaging Database (HID) and the BrainMap database. The design of CogPO concentrates on what can be observed directly: categorization of each paradigm in terms of (1) the stimulus presented to the subjects, (2) the requested instructions, and (3) the returned response. All paradigms are essentially comprised of these three orthogonal components, and formalizing an ontology around them is a clear and direct approach to describing paradigms. This structured, well-defined, common and controlled vocabulary will be capable of representing the cognitive paradigms in the FBIRN Data Repository, which stores structural and functional imaging datasets for later analysis, and in BrainMap, which stores analyzed results from the functional imaging literature. This proposal has been designed to include strong collaboration with the National Center for Biomedical Ontology (NCBO) and the Neuroinformatics Information Framework (NIF). Neither the NCBO nor the NIF currently seeks to develop an ontology of cognitive paradigms;thus, the current proposal is novel and does not conflict with any existing ontology efforts, but is a complementary endeavor. Through a series of workshops, CogPO developers will consult both the domain experts (the neuroimaging research community) and the ontological experts (NCBO) and the BIRN Ontology Task Force (OTF). CogPO developers also plan to allow user input and feedback from the entire neuroimaging community through the Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC). This proposal includes a formal plan for community acceptance of the developed ontology, complete with a list of concrete deliverables in Protigi-OWL format to be distributed by the end of the funding period, which can be utilized not only by FBIRN and BrainMap users, but also by the entire neuroimaging community. It is our ultimate aim that CogPO be designed to enable its extension to a broader context in cognitive sciences.

Public Health Relevance

CogPO, a domain ontology of cognitive paradigms, would facilitate descriptions of cognitive experimental paradigms in ways that are machine-readable and machine-interpretable, to allow communication and automated data sharing across diverse databases and data sources. This ontology will be made available for adoption not only by other fMRI databases, but also for archives of other neuroimaging modalities (e.g., EEG or MEG data), such as the Neural ElectroMagnetic Ontologies (NEMO), and literature neuroinformatics efforts such as the Society for Neuroscience's PubMed Plus. It is our ultimate aim that CogPO be designed to enable its extension to a broader context in cognitive sciences.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
1R01MH084812-01A1
Application #
7690626
Study Section
Special Emphasis Panel (ZRG1-BST-G (51))
Program Officer
Cavelier, German
Project Start
2009-08-01
Project End
2012-06-30
Budget Start
2009-08-01
Budget End
2010-06-30
Support Year
1
Fiscal Year
2009
Total Cost
$323,317
Indirect Cost
Name
University of Texas Health Science Center San Antonio
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
800772162
City
San Antonio
State
TX
Country
United States
Zip Code
78229
Riedel, Michael C; Yanes, Julio A; Ray, Kimberly L et al. (2018) Dissociable meta-analytic brain networks contribute to coordinated emotional processing. Hum Brain Mapp 39:2514-2531
Vanasse, Thomas J; Fox, P Mickle; Barron, Daniel S et al. (2018) BrainMap VBM: An environment for structural meta-analysis. Hum Brain Mapp 39:3308-3325
Laird, Angela R; Riedel, Michael C; Okoe, Mershack et al. (2017) Heterogeneous fractionation profiles of meta-analytic coactivation networks. Neuroimage 149:424-435
Ákos Szabó, C; Salinas, Felipe S; Li, Karl et al. (2016) Modeling the effective connectivity of the visual network in healthy and photosensitive, epileptic baboons. Brain Struct Funct 221:2023-33
Blanc, Caroline A; Grist, Jonathan J; Rosen, Hugh et al. (2015) Sphingosine-1-phosphate receptor antagonism enhances proliferation and migration of engrafted neural progenitor cells in a model of viral-induced demyelination. Am J Pathol 185:2819-32
Laird, Angela R; Riedel, Michael C; Sutherland, Matthew T et al. (2015) Neural architecture underlying classification of face perception paradigms. Neuroimage 119:70-80
Riedel, Michael C; Ray, Kimberly L; Dick, Anthony S et al. (2015) Meta-analytic connectivity and behavioral parcellation of the human cerebellum. Neuroimage 117:327-42
Ray, K L; Zald, D H; Bludau, S et al. (2015) Co-activation based parcellation of the human frontal pole. Neuroimage 123:200-11
Acheson, Ashley; Ray, Kimberly L; Hines, Christina S et al. (2015) Functional activation and effective connectivity differences in adolescent marijuana users performing a simulated gambling task. J Addict 2015:783106
Huerta, Claudia I; Sarkar, Pooja R; Duong, Timothy Q et al. (2014) Neural bases of food perception: coordinate-based meta-analyses of neuroimaging studies in multiple modalities. Obesity (Silver Spring) 22:1439-46

Showing the most recent 10 out of 31 publications