Investigating cortical complexity and connectivity in rats with schizophrenia
Document Type
Article
Publication Date
8-1-2024
Abstract
Background The above studies indicate that the SCZ animal model has abnormal gamma oscillations and abnormal functional coupling ability of brain regions at the cortical level. However, few researchers have focused on the correlation between brain complexity and connectivity at the cortical level. In order to provide a more accurate representation of brain activity, we studied the complexity of electrocorticogram (ECoG) signals and the information interaction between brain regions in schizophrenic rats, and explored the correlation between brain complexity and connectivity.Methods We collected ECoG signal from SCZ rats. The frequency domain and time domain functional connectivity of SCZ rats were evaluated by magnitude square coherence and mutual information (MI). Permutation entropy (PE) and permutation Lempel-Ziv complexity (PLZC) were used to analyze the complexity of ECoG, and the relationship between them was evaluated. In addition, in order to further understand the causal structure of directional information flow among brain regions, we used phase transfer entropy (PTE) to analyze the effective connectivity of the brain.Results Firstly, in the high gamma band, the complexity of brain regions in SCZ rats is higher than that in normal rats, and the neuronal activity is irregularity. Secondly, the information integration ability of SCZ rats decreased and the communication of brain network information was hindered at the cortical level. Finally, compared with normal rats, the causal relationship between brain regions of SCZ rats was closer, but the information interaction center was not clear.Conclusion The above findings suggest that at the cortical level, complexity and connectivity are valid biomarkers for identifying SCZ. This bridges the gap between peak potentials and EEG. This may help to understand the pathophysiological mechanisms at the cortical level in schizophrenics.
Keywords
schizophrenia, electrocorticogram, brain network, complexity, connectivity
Divisions
fsktm
Funders
National Natural Science Foundation of China (NSFC) (82201709) ; (82302298),Science and Technology Research Project of Henan Province (242102310055) ; (232102310009) ; (242102310005),Open Project Program of Henan Collaborative Innovation Center of Prevention and Treatment of Mental Disorder (XTkf07) ; (XTkf01),Innovative Research Team (in Science and Technology) in University of Henan Province (24IRTSTHN042),Major Science and Technology Projects of Henan Province (221100310500)
Publication Title
Frontiers in Neuroinformatics
Volume
18
Publisher
Frontiers Media
Publisher Location
AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND