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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