Bayesian technique for investigating linearity in event-related BOLD fMRI.
Event-related BOLD fMRI data is modeled as a linear time-invariant system. Together with Bayesian inference techniques, a statistical test is developed for rigorously detecting linearity/nonlinearity in the BOLD response system. The test is applied to data collected from eight subjects using an event-related paradigm with a switching checkerboard as the visual stimulus. Analyzed as a group, the results clearly find the response to be nonlinear. When each subject is analyzed individually, however, the results are predominantly nonlinear, but there is some evidence to suggest that there may be a crossover from a linear to a nonlinear regime and vice versa. This could be important when estimating physiological parameters for individuals. Additionally, estimates of the hemodynamic response function and corresponding response were obtained, but there was no consistent appearance of a poststimulus undershoot in the event-related BOLD response.
Kershaw
J
J
Akita Laboratory, Japan Science and Technology Corporation, Akita City, Japan. len@akita-noken.go.jp
Kashikura
K
K
Zhang
X
X
Abe
S
S
Kanno
I
I
D000328:Adult; D000465:Algorithms; D001499:Bayes Theorem; D001921:Brain / Q000098:blood supply*; D017352:Echo-Planar Imaging; D005074:Evoked Potentials, Visual / Q000502:physiology; D006801:Humans; D007089:Image Enhancement; D007091:Image Processing, Computer-Assisted; D016014:Linear Models; D008279:Magnetic Resonance Imaging; D008297:Male; D008432:Mathematical Computing; D010100:Oxygen / Q000097:blood*; D010364:Pattern Recognition, Visual / Q000502:physiology*; D010775:Photic Stimulation; D012039:Regional Blood Flow / Q000502:physiology
D010100:Oxygen