Corrections to “Identification of the General Anesthesia Induced Loss of Consciousness by Cross Fuzzy Entropy-Based Brain Network”

In the above article [1] , to track loss of consciousness (LOC) induced by general anesthesia (GA), we first developed multi-channel cross fuzzy entropy method construct time- varying networks, whose temporal fluctuations were then explored and quantitatively evaluated. Since time-varying network topologies found fluctuate from long-range frontal-occipital short-range prefrontal-frontal connectivity during LOC period, a new parameter, i.e., (LRC) that measured number connectivity, was accordingly calculated investigated between coherence (COH) (C-FuzzyEn) approaches, as displayed in ref-type="fig" rid="fig1" xmlns:xlink="http://www.w3.org/1999/xlink">Fig. 1 . The distinct both approaches indeed within this where only C-FuzzyEn effectively captured fluctuation GA.