{"data":{"id":"10.6084/m9.figshare.707012","type":"dois","attributes":{"doi":"10.6084/m9.figshare.707012","prefix":"10.6084","suffix":"m9.figshare.707012","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Eklund, Anders","nameType":"Personal","givenName":"Anders","familyName":"Eklund","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"A GPU Accelerated Interactive Interface for Exploratory Functional Connectivity Analysis of fMRI Data"}],"publisher":"figshare","container":{},"publicationYear":2013,"subjects":[{"subject":"Statistics"},{"subject":"FOS: Mathematics","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Mathematics","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Probability"},{"subject":"60102 Bioinformatics","subjectScheme":"FOR"},{"subject":"FOS: Computer and information sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Computer and information sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Applied Computer Science"},{"subject":"80309 Software Engineering","subjectScheme":"FOR"},{"subject":"Neuroscience"}],"contributors":[],"dates":[{"date":"2013-05-25","dateType":"Created"},{"date":"2013-05-26","dateType":"Updated"},{"date":"2013","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":["970206 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"The poster for our ICIP paper \"A GPU Accelerated Interactive Interface for Exploratory Functional Connectivity Analysis of fMRI Data\" Abstract Functional connectivity analysis is a way to investigate how different parts of the brain are connected and interact. A common measure of connectivity is the temporal correlation between a reference voxel time series and all the other time series in a functional MRI data set. An fMRI data set generally contains more than 20,000 within-brain voxels, making a complete correlation analysis between all possible combinations of voxels heavy to compute, store, visualize and explore. In this paper, a GPU-accelerated interactive tool for investigating functional connectivity in fMRI data is presented. A reference voxel can be moved by the user and the correlations to all other voxels are calculated in real-time using the graphics processing unit (GPU). The resulting correlation map is updated in real-time and visualized as a 3D volume rendering together with a high resolution anatomical volume. This tool greatly facilitates the search for interesting connectivity patterns in the brain.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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","url":"https://figshare.com/articles/dataset/A_GPU_Accelerated_Interactive_Interface_for_Exploratory_Functional_Connectivity_Analysis_of_fMRI_Data/707012","contentUrl":null,"metadataVersion":2,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"viewsOverTime":[],"downloadCount":0,"downloadsOverTime":[],"referenceCount":0,"citationCount":0,"citationsOverTime":[],"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2013-05-25T20:43:52.000Z","registered":"2013-05-25T20:43:54.000Z","published":"2013","updated":"2020-09-05T01:56:45.000Z"},"relationships":{"client":{"data":{"id":"figshare.ars","type":"clients"}},"provider":{"data":{"id":"otjm","type":"providers"}},"media":{"data":{"id":"10.6084/m9.figshare.707012","type":"media"}},"references":{"data":[]},"citations":{"data":[]},"parts":{"data":[]},"partOf":{"data":[]},"versions":{"data":[]},"versionOf":{"data":[]}}}}