title: [Brain function network analysis and recognition for psychogenic non-epileptic seizures based on resting state electroencephalogram].
abstract: Studies have shown that the clinical manifestation of patients with neuropsychiatric disorders might be related to the abnormal connectivity of brain functions. Psychogenic non-epileptic seizures (PNES) are different from the conventional epileptic seizures due to the lack of the expected electroencephalographically epileptic changes in central nervous system, but are related to the presence of significant psychological factors. Diagnosis of PNES remains challenging. We found in the present work that the connectivity between the frontal and parieto-occipital in PNES was weaker than that of the controls by using network analysis based on electroencephalogram (EEG) signals. In addition, PNES were recognized by using the network properties as linear discriminant nalysis (LDA) input and classification accuracy was 85%. This study may provide a feasible tool for clinical diagnosis of PNES.
authors.forename: Zhenyu
authors.initials: Z
authors.lastname: Wang
authors.forename: Qing
authors.initials: Q
authors.lastname: Xue
authors.forename: Xiuchun
authors.initials: X
authors.lastname: Xiong
authors.forename: Peiyang
authors.initials: P
authors.lastname: Li
authors.forename: Chunyang
authors.initials: C
authors.lastname: Tian
authors.forename: Cehong
authors.initials: C
authors.lastname: Fu
authors.forename: Yuping
authors.initials: Y
authors.lastname: Wang
authors.forename: Dezhong
authors.initials: D
authors.lastname: Yao
authors.forename: Peng
authors.initials: P
authors.lastname: Xu
mesh_terms: D001921:Brain / Q000503:physiopathology*; D004569:Electroencephalography; D004827:Epilepsy; D006801:Humans; D012640:Seizures / Q000175:diagnosis*