Journal article

fMRI hemodynamic response function estimation in autoregressive noise by avoiding the drift

Abd-Krim Seghouane, Adnan Shah, Chee-Ming Ting

Digital Signal Processing | ACADEMIC PRESS INC ELSEVIER SCIENCE | Published : 2017

DOI: 10.1016/j.dsp.2017.04.006

University of Melbourne Researchers

Related Projects (1)

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Efficient Learning From Multiple Brain Imaging Data Sets

Brain imaging data analysis methods have proven to be very effective in the study of brain functions and the identification of brain disorde..

Grants

Awarded by Australian Research Council

Funding Acknowledgements

This work was supported by the Australian Research Council through Grant FT.130101394.

Keywords

Science & Technology
Time-Series
Event-Related Fmri
Autocorrelation
Generalized Least Squares
Functional Mri
Joint Detection-Estimation
Mri
Deconvolution
Brain Activity
Autoregressive Noise
Inference
Engineering
Linear-Model
Hemodynamic Response Function
Engineering, Electrical & Electronic
Drift
Bold Fmri
Technology