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

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.

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