4.6 Article

Dynamics and synchronization control in schizophrenia for EEG signals

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ELSEVIER SCI LTD
DOI: 10.1016/j.bspc.2021.103118

关键词

EEG; Brain network; Dynamics synchronization; Pining control; Schizophrenia

资金

  1. National Natural Science Foundation of China [61976150]
  2. Natural Science Foundation of Shanxi [201801D121135]
  3. Shanxi Provincial Key Research and Development Project (CN) [201803D31038]

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This study used pinning control theory to adjust brain regions interaction in first-episode schizophrenia, revealing abnormal right frontal lobe activity and higher brain network synchronization in schizophrenia patients during a short-term memory task. The synchronization was positively correlated with response time and negatively correlated with response accuracy, with differences in active brain regions between schizophrenia patients and healthy participants.
Cognitive dysfunction may be central to neurocognitive deficits in schizophrenia. To further explore brain network dynamics and synchronization in first-episode schizophrenia, we exploited pinning control theory to adjust and control the brain regions interacting with each other in schizophrenia to make their network synchronization stability consistent with that of healthy individuals. Our results revealed that in a short-term memory task, the right frontal lobe was abnormal in schizophrenia, resulting in higher synchronous oscillation behavior of the entire brain networks compared with the healthy participants. And the synchronization was positively correlated with each participant's response time (RT) and negatively correlated with their response accuracy (ACC). In the healthy participants, the frontal lobe facilitated a higher brain synchronization state, whereas in the schizophrenia patients, the parietal-occipital lobe facilitated a higher brain synchronization state. These data provide new evidence for task-relevant dynamic interactions between brain regions in schizophrenia and provide theoretical methods for the adjustment and control of brain networks.

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