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Abstract #3749

Model the single-venule fMRI signal at the millisecond scale

Yi He 1,2 , Kun Zhang 3 , and Xin Yu 1,2

1 Research Group of Translational Neuroimaging and Neural Control, High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tuebingen, Baden-Wuerttemberg, Germany, 2 Graduate School of Neural Information Processing, University of Tuebingen, Tuebingen, Baden-Wuerttemberg, Germany, 3 Department of Empirical Inference, Max Planck Institute of Intelligent System, Tuebingen, Germany

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.

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