Detecting Perfusion Pattern based on the Background Low-frequency Fluctuation in Resting-State Functional MRI Data and its Influence on Resting-State Networks : An Iterative Post-processing Approach.

Tianyi Qian,Davide Zanchi,Cristelle Rodriguez,Marine Ackermann,Panteleimon Giannakopoulos,Sven Haller

Detecting Perfusion Pattern based on the Background Low-frequency Fluctuation in Resting-State Functional MRI Data and its Influence on Resting-State Networks : An Iterative Post-processing Approach.

2017

Tianyi Qian
Davide Zanchi
Cristelle Rodriguez
Marine Ackermann
Panteleimon Giannakopoulos
Sven Haller

INTRODUCTION: RS-fMRI is based on the assumption that the vascular response and the blood oxygenation level dependent (BOLD) response are homogenous across the entire brain. However, this a priori ...

Keywords:

Blood oxygenation level dependent
Neuroscience
Entire brain
Resting state fMRI
Institutional repository
Low frequency
Medicine
Perfusion
A priori and a posteriori
Biomedical engineering
Default mode network
Iterative method
resting state functional magnetic resonance imaging

Correction
Source
Cite
Save
Machine Reading By IdeaReader

References

Citations