EEG-Based Brain Functional Connectivity in First-Episode Schizophrenia Patients, Ultra-High-Risk Individuals, and Healthy Controls During P50 Suppression

Frontiers in Human Neuroscience

Chuanyue Wang¹  Qing Tian¹  Meijun Liu²  Qi Chang²  Yu Luo²  Hua Wang⁶  Jicong Zhang⁶ 

[1] Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China;Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China;Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China;Hefei Innovation Research Institute, Beihang University, Hefei, China;School of Biological Science and Medical Engineering, Beihang University, Beijing, China;School of Biomedical Engineering, Anhui Medical University, Hefei, China;The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China;

关键词: EEG;    ERP;    functional brain connectivity;    P50;    first-episode;    schizophrenia;   

DOI  :  10.3389/fnhum.2019.00379

来源: DOAJ

【 摘 要 】

Dysfunctional processing of auditory sensory gating has generally been found in schizophrenic patients and ultra-high-risk (UHR) individuals. The aim of the study was to investigate the differences of functional interaction between brain regions and performance during the P50 sensory gating in UHR group compared with those in first-episode schizophrenia patients (FESZ) and healthy controls (HC) groups. The study included 128-channel scalp Electroencephalogram (EEG) recordings during the P50 auditory paradigm for 35 unmedicated FESZ, 30 drug-free UHR, and 40 HC. Cortical sources of scalp electrical activity were recomputed using exact low-resolution electromagnetic tomography (eLORETA), and functional brain networks were built at the source level and compared between the groups (FESZ, UHR, HC). A classifier using decision tree was designed for differentiating the three groups, which uses demographic characteristics, MATRICS Consensus Cognitive Battery parameters, behavioral features in P50 paradigm, and the measures of functional brain networks based on graph theory during P50 sensory gating. The results showed that very few brain connectivities were significantly different between FESZ and UHR groups during P50 sensory gating, and that a large number of brain connectivities were significantly different between FESZ and HC groups and between UHR and HC groups. Furthermore, the FESZ group had a stronger connection in the right superior frontal gyrus and right insula than the HC group. And the UHR group had an enhanced connection in the paracentral lobule and the middle temporal gyrus compared with the HC group. Moreover, comparison of classification analysis results showed that brain network metrics during P50 sensory gating can improve the accuracy of the classification for FESZ, UHR and HC groups. Our findings provide insight into the mechanisms of P50 suppression in schizophrenia and could potentially improve the performance of early identification and diagnosis of schizophrenia for the earliest intervention.

【 授权许可】

Unknown