AUTHOR=Li Fali , Wang Jiuju , Jiang Yuanling , Si Yajing , Peng Wenjing , Song Limeng , Jiang Yi , Zhang Yangsong , Dong Wentian , Yao Dezhong , Xu Peng TITLE=Top-Down Disconnectivity in Schizophrenia During P300 Tasks JOURNAL=Frontiers in Computational Neuroscience VOLUME=12 YEAR=2018 URL=https://www.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2018.00033 DOI=10.3389/fncom.2018.00033 ISSN=1662-5188 ABSTRACT=

Cognitive deficits in schizophrenia are correlated with the dysfunctions of distinct brain regions including anterior cingulate cortex (ACC) and prefrontal cortex (PFC). Apart from the dysfunctions of the intrinsic connectivity of related areas, how the coupled neural populations work is also crucial in related processes. Twenty-four patients with schizophrenia (SZs) and 24 matched healthy controls (HCs) were recruited in our study. Based on the electroencephalogram (EEG) datasets recorded, the Dynamic Causal Modeling (DCM) was then adopted to estimate how the brain architecture adapts among related areas in SZs and to investigate the mechanism that accounts for their cognitive deficits. The distinct winning models in SZs and HCs consistently emphasized the importance of ACC in regulating the elicitations of P300s. Specifically, comparing to that in HCs, the winning model in SZs uncovered a compensatory pathway from dorsolateral PFC to intraparietal sulcus that promised the SZs' accomplishing P300 tasks. The findings demonstrated that the “disconnectivity hypothesis” is helpful and useful in explaining the cognitive deficits in SZs, while the brain architecture adapted with related compensatory pathway promises the limited brain cognitions in SZs. This study provides a new viewpoint that deepens our understanding of the cognitive deficits in schizophrenia.