Abstract
Schizophrenia patients always show cognitive impairment, which is proved to be related to hypo-connectivity or hyper-connectivity. Further, individuals with an ultra-high risk for psychosis also show abnormal functional connectivity-related cognitive impairment, especially in the alpha rhythm. Thus, the identification of functional networks is essential to our understanding of the disorder. We investigated the resting-state functional connectivity of the alpha rhythm measured by electroencephalography (EEG) to reveal the relation between functional network and clinical symptoms. The participants included 28 patients with first-episode schizophrenia (FES), 28 individuals with ultra-high risk for psychosis (UHR), and 28 healthy controls (HC). After the professional clinical symptoms evaluation, all the participants were instructed to keep eyes closed for 3-min resting-state EEG recording. The 3-min EEG data were segmented into artefact-free epochs (the length was 3 s), and the functional connectivity of the alpha phase was estimated using the phase lag index (PLI), which measures the phase differences of EEG signals. The FES and UHR groups displayed increased resting-state PLI connectivity compared with the HC group [F(2,74) = 10.804, p < 0.001]. Significant increases in the global efficiency, the local efficiency, and the path length were found in the FES and UHR groups compared with those of the HC group. FES and UHR showed an increased degree of connectivity compared with HC. The degree of the left occipital lobe area was higher in the UHR group than in the FES group. The hypothesis of disconnection is confirmed. Furthermore, differences between the UHR and FES group were found, which is valuable for producing clinical significance before the onset of schizophrenia.
Highlights
Schizophrenia (SZ) is a psychiatric disorder characterized by multiple symptoms, such as positive symptoms, negative symptoms, and cognitive symptoms [1]
The results of post hoc testing showed that first-episode schizophrenia (FES) participants had significantly lower intelligence quotient (IQ) scores than healthy controls (p < 0.001, Bonferroni) or ultra-high risk for psychosis (UHR) participants (p = 0.032, Bonferroni)
The results of post hoc testing showed that FES participants had significantly lower Global Assessment of Functioning (GAF) than healthy controls (p < 0.001, Bonferroni) or UHR patients (p < 0.001, Bonferroni), while no differences were found between UHR and FES (p = 1.000, Bonferroni)
Summary
Schizophrenia (SZ) is a psychiatric disorder characterized by multiple symptoms, such as positive symptoms, negative symptoms, and cognitive symptoms [1]. The neurocognitive deficits, such as verbal memory and vigilance, and social cognitive deficits, such as emotion expression and interpersonal relationships, seriously and continuously affect the normal lives of SZ patients [2,3,4]. The stages include first-episode schizophrenia (FES), chronic SZ, and ultrahigh risk for psychosis (UHR, known as clinical high risk), depending on cognitive loss and morbidity [5, 6]. Few studies compared the different brain activation patterns in FES with the patterns in UHR [9, 10]
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