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http://www.antoniahamilton.com/amat.html
AMAT is a Matlab-based, open source interface for searching fMRI coordinates together with a simple database of coordinates. The AMAT database is deliberately designed to be minimal. Effectively, the database reproduces the tables of XYZ coordinates which are common in fMRI papers. Each coordinate is associated with the anatomical label given by the authors of the original paper, a ag for Talaraich or MNI coordinates, a very brief description of the description of the functional task or contrast which activated this coordinate, and the PubMed ID of the published paper. The latter links directly to the abstract in PubMed and allows the user to retrieve the original publication. Anatomical information labeling a coordinate as a particular Brodmann area or functional region is optional, and is normally only included if the authors of the original paper included these labels. No other information is stored.
Proper citation: AMAT (RRID:SCR_005836) Copy
Public research university in Nottingham, United Kingdom. It was founded as University College Nottingham in 1881, and was granted a royal charter in 1948.
Proper citation: University of Nottingham; Nottingham; United Kingdom (RRID:SCR_006210) Copy
https://www.nitrc.org/projects/nidag
An international working group dedicated to improving access to neuroimaging results in a free and open-access manner. It seeks to establish a universal coordinate database, including both past papers and future studies. Their current project involves the creation of a comprehensive database of neuroimaging results searchable based on standardized coordinates. Once complete, this will allow anyone to find all of the articles that report a coordinate, or set of coordinates, easily and without cost. Eventually, they hope to expand this database to include not only coordinates, but statistical parametric maps as well. Formation of such a database will increase the likelihood of relevant papers being found and cited, and also be a very useful tool for those interested in meta-analysis, and hopefully clarify structure-function relationships. They are interested in hearing from people who might be willing to contribute to their projects, particularly those with programming experience. The number of published neuroimaging studies is increasing rapidly and it is not feasible to read them all. If a computer database could store key information from published fMRI papers and make that information easier to search or share, this would have substantial benefits for the neuroimaging community. Projects like AMAT, Brainmap, Brede and SumsDB have started to tackle this problem. NIDAG wants to formalize and improve these databases so that they meet the needs of the neuroimaging community. Formal meta-analysis of published data is a valuable way to assess the consistency and reliability of experimental results. A database of neuroimaging results would facilitate meta-analyses, in conjunction with tools like GingerALE and Multi-level Kernel Density Analysis.
Proper citation: NIDAG: Neuroimaging Data Access Group (RRID:SCR_001674) Copy
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Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
