Nan Zhang

TL;DR: The current review helps to reveal the patterns of dysfunction in the brains of patients with AD and to investigate whether signal complexity can be used as a biomarker to accurately respond to the functional lesion in AD.

TL;DR: In this paper, the authors performed multiscale sample entropy (MSE) analysis across five time scales to assess differences in resting-state fMRI signal complexity in Schizophrenia, bipolar disorder, and normal controls.

TL;DR: It is demonstrated that rich club organization of hemispheric WM networks in BD was disrupted, with disrupted feeder and local connections among hub and peripheral regions located in the default mode network (DMN) and the control execution network (CEN).

TL;DR: Zhang et al. as mentioned in this paper performed a work using permutation fuzzy entropy (PFEN) to analyze the brain complexity of bipolar disorder patients and found that significantly increased PFEN values mainly appeared in the middle temporal gyrus, angular gyrus and superior occipital gyrus.

TL;DR: It is found that patients with schizophrenia showed significantly decrease in both global and nodal efficiency of hemispheric networks relative to healthy controls, and abnormalities in intra- and inter-hemispheric WM lateralization were revealed in frontal and temporal regions for schizophrenia.