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Model the single-venule fMRI signal at the millisecond scale

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/persons/resource/persons192829

He,  Y
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84328

Zhang,  K
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons133486

Yu,  X
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

He, Y., Zhang, K., & Yu, X. (2015). Model the single-venule fMRI signal at the millisecond scale. Poster presented at 23rd Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2015), Toronto, Canada.


Cite as: https://hdl.handle.net/11858/00-001M-0000-002A-4606-0
Abstract
The hemodynamic response function (HRF) of fMRI signal varies according to different conditions and tasks. The estimate of HRF highly relies on the spatiotemporal resolution of fMRI raw images. Here, we developed a new algorithm to estimate the single-vessel specific HRF from the fMRI signal acquired by multi-echo line-scanning method (MELS-fMRI). This method simultaneously performed T2* decay deconvolution and HRF optimization. Given the millisecond scale sampling rate for multi-echo acquisition, the estimated HRF bears high temporal feature of fMRI signal propagation through different venules in the deep layer cortex. This is the first step to model millisecond scale fMRI signal.