Visual Analysis of Brain Activity from fMRI Data

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dc.contributor.authorJanoos, Firdausen_US
dc.contributor.authorNouanesengsy, Boonthanomeen_US
dc.contributor.authorMachiraju, Raghuen_US
dc.contributor.authorShen, Han Weien_US
dc.contributor.authorSammet, Steffenen_US
dc.contributor.authorKnopp, Michaelen_US
dc.contributor.authorMórocz, István Á.en_US
dc.contributor.editorH.-C. Hege, I. Hotz, and T. Munzneren_US
dc.date.accessioned2014-02-21T19:50:56Z
dc.date.available2014-02-21T19:50:56Z
dc.date.issued2009en_US
dc.description.abstractClassically, analysis of the time-varying data acquired during fMRI experiments is done using static activation maps obtained by testing voxels for the presence of significant activity using statistical methods. The models used in these analysis methods have a number of parameters, which profoundly impact the detection of active brain areas. Also, it is hard to study the temporal dependencies and cascading effects of brain activation from these static maps. In this paper, we propose a methodology to visually analyze the time dimension of brain function with a minimum amount of processing, allowing neurologists to verify the correctness of the analysis results, and develop a better understanding of temporal characteristics of the functional behaviour. The system allows studying time-series data through specific volumes-of-interest in the brain-cortex, the selection of which is guided by a hierarchical clustering algorithm performed in the wavelet domain. We also demonstrate the utility of this tool by presenting results on a real data-set.en_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume28en_US
dc.identifier.doi10.1111/j.1467-8659.2009.01458.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2009.01458.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.titleVisual Analysis of Brain Activity from fMRI Dataen_US
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EuroVis09: Eurographics/ IEEE Symposium on Visualization