Faded Critical Dynamics in Adult Moyamoya Disease Revealed by EEG and fMRI

Figure 3

Hurst exponent mapping of the three groups with reference to the alpha band signal. In order to characterize the EEG amplitude dynamics of alpha oscillation, the data were bandpass filtered from 8 to 13 Hz and the amplitude envelope of the oscillations was extracted using the Hilbert transform. (a) Shows the amplitude envelope of the three groups in the EC state. The controls exhibit a regular oscillation, while the patients tend to present with a more random and rapidly changing amplitude. (b) Shows the fluctuation function of different time bin lengths from 1 to 10 seconds; the slope is defined as the Hurst exponent and represents the long-range temporal correlation. Regarding the slope, the white noise is equal to 0.5, while the controls reached 0.87. (c) The Hurst exponents of the three groups were mapped in the resting and WM states and are presented in rows 1 to 3. (d) The channels marked with red circles are those that show significant differences among the three groups in the EC, EO, and WM states, respectively. (e) The mean Hurst exponent value of the generated channels in Figure 3(d) was calculated and compared among the three groups. indicates .

(a)

(b)

(c)

(d)

(e)