Occipital Alpha Connectivity During Resting-State Electroencephalography in Patients With Ultra-High Risk for Psychosis and Schizophrenia
Bibliographic Data
| ID | 15528805 |
|---|---|
| Authors | Tiantian Liu (0000-0003-2503-8358, Beijing Institute of Technology), Jian Zhang (0000-0001-7681-8747, Beijing Institute of Technology), Xiaonan Dong (0000-0002-6344-005X, Beijing Institute of Technology), Zhucheng Li (Jiangsu University), Xiaorui Shi (0000-0002-6068-1413, Beijing Institute of Technology), Yizhou Tong (Beijing Institute of Technology), Ruobing Yang (0000-0002-0441-6244, Beijing Institute of Technology), Jinglong Wu (0000-0002-9570-0258, Beijing Institute of Technology), Changming Wang (0000-0003-1158-7727, Beijing Anding Hospital, corresponding author), Tianyi Yan (0000-0002-2674-4134, Beijing Institute of Technology, corresponding author) |
| Year | 2019 |
| Volume | 10 |
| Pages | 553-553 |
| Publication date | 2019-08-16 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2019.00553 |
| PMID | 31474882 |
| OpenAlex | W2960049973 |
| Language | EN |
| Citations received | 1 |
| References cited | 65 |
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
Alpha (finance · Audiology · Cognition · Electroencephalography · Neurocognitive · Prodrome · Psychiatry · Psychosis · Resting state fMRI · Schizophrenia (object-oriented programming · Clinical Psychology · EEG and Brain-Computer Interfaces · Functional Brain Connectivity Studies · Medicine · Neural dynamics and brain function · Neuroscience · Psychology
| Citations per year | 0.17 |
|---|---|
| Citation span | 2020 - 2020 (1) |
| Highly cited | No |