2024-03-28T10:31:42Zhttps://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/313512022-02-03T13:34:22Zcom_10324_23459com_10324_954com_10324_894col_10324_23460
Altered predictive capability of the brain network EEG model in schizophrenia during cognition
Gómez Pilar, Javier
Poza Crespo, Jesús
Gómez Peña, Carlos
Northoff, Georg
Lubeiro Juárez, Alba
Cea Cañas, Béquer Benjamín
Molina Rodríguez, Vicente
Hornero Sánchez, Roberto
Producción Científica
The study of the mechanisms involved in cognition is of paramount importance for the understanding of the neurobiological substrates in psychiatric disorders. Hence, this research is aimed at exploring the brain network dynamics during a cognitive task. Specifically, we analyze the predictive capability of the pre-stimulus theta activity to ascertain the functional brain dynamics during cognition in both healthy and schizophrenia subjects. Firstly, EEG recordings were acquired during a three-tone oddball task from fifty-one healthy subjects and thirty-five schizophrenia patients. Secondly, phase-based coupling measures were used to generate the time-varying functional network for each subject. Finally, pre-stimulus network connections were iteratively modified according to different models of network reorganization. This adjustment was applied by minimizing the prediction error through recurrent iterations, following the predictive coding approach. Both controls and schizophrenia patients follow a reinforcement of the secondary neural pathways (i.e., pathways between cortical brain regions weakly connected during pre-stimulus) for most of the subjects, though the ratio of controls that exhibited this behavior was statistically significant higher than for patients. These findings suggest that schizophrenia is associated with an impaired ability to modify brain network configuration during cognition. Furthermore, we provide direct evidence that the changes in phase-based brain network parameters from pre-stimulus to cognitive response in the theta band are closely related to the performance in important cognitive domains. Our findings not only contribute to the understanding of healthy brain dynamics, but also shed light on the altered predictive neuronal substrates in schizophrenia.
2018-09-03T10:35:01Z
2018-09-03T10:35:01Z
2018
info:eu-repo/semantics/article
Schizophrenia Research, In Press
http://uvadoc.uva.es/handle/10324/31351
eng
https://www.schres-journal.com/article/S0920-9964(18)30257-3/abstract
info:eu-repo/semantics/restrictedAccess
Schizophrenia Research
Elsevier
SI