Detecting Perfusion Pattern Based on the Background Low-Frequency Fluctuation in Resting-State Functional Magnetic Resonance Imaging Data and Its Influence on Resting-State Networks: An Iterative Postprocessing Approach.
Tianyi QianDavide ZanchiCristelle RodriguezMarine AckermannPanteleimon GiannakopoulosSven HallerPublished in: Brain Connect. (2017)
Keyphrases
- resting state
- functional magnetic resonance imaging
- brain activity
- post processing
- brain connectivity
- human brain
- low frequency
- data analysis
- activation detection
- functional connectivity
- high frequency
- prefrontal cortex
- wavelet coefficients
- healthy subjects
- correlation analysis
- event related
- human subjects
- pattern classification
- data mining techniques
- preprocessing