Meeting Banner
Abstract #2064

Poisson-like property of spontaneous event trains and its relationship to scale-free dynamics

Jingyuan Chen 1 and Gary Glover 1

1 Electrical Engineering, Stanford University, Stanford, CA, United States

In the present study, we demonstrated that (1) the scale-free dynamics of BOLD time series can be simulated by the convolution of spontaneous event trains and hemodynamic response functions; (2) the scale-free BOLD time series driven by the spontaneous event train may explain (at least partially) the scale-free property reported by previous fMRI literature; (3) Scale-free dynamics of fMRI time series may carry non-neural information, e.g. local hemodynamic fluctuations, suggesting caution in studies attempting to employ metrics such as Hurst exponent as biomarkers for neuroimaging investigations.

This abstract and the presentation materials are available to members only; a login is required.

Join Here