Title
Signal quality and Bayesian signal processing in neurofeedback based on real-time fMRI.
Abstract
Real-time fMRI allows analysis and visualization of the brain activity online, i.e. within one repetition time. It can be used in neurofeedback applications where subjects attempt to control an activation level in a specified region of interest (ROI) of their brain. The signal derived from the ROI is contaminated with noise and artifacts, namely with physiological noise from breathing and heart beat, scanner drift, motion-related artifacts and measurement noise. We developed a Bayesian approach to reduce noise and to remove artifacts in real-time using a modified Kalman filter. The system performs several signal processing operations: subtraction of constant and low-frequency signal components, spike removal and signal smoothing. Quantitative feedback signal quality analysis was used to estimate the quality of the neurofeedback time series and performance of the applied signal processing on different ROIs. The signal-to-noise ratio (SNR) across the entire time series and the group event-related SNR (eSNR) were significantly higher for the processed time series in comparison to the raw data. Applied signal processing improved the t-statistic increasing the significance of blood oxygen level-dependent (BOLD) signal changes. Accordingly, the contrast-to-noise ratio (CNR) of the feedback time series was improved as well. In addition, the data revealed increase of localized self-control across feedback sessions.
Year
DOI
Venue
2012
10.1016/j.neuroimage.2011.07.076
NeuroImage
Keywords
Field
DocType
Real-time fMRI,Neurofeedback,Signal processing,Bayesian,Kalman filter,Signal quality
Signal processing,Computer vision,Computer science,Kalman filter,Smoothing,Artificial intelligence,Region of interest,Communication noise,Signal averaging,Subtraction,Neurofeedback
Journal
Volume
Issue
ISSN
59
1
1053-8119
Citations 
PageRank 
References 
6
0.54
17
Authors
5
Name
Order
Citations
PageRank
Yury Koush1384.31
Mikhail Zvyagintsev2143.62
Miriam Dyck391.12
Krystyna A Mathiak491.38
Klaus Mathiak517932.04