Padova Neuroscience Center, University of Padova, Italy.
Department of General Psychology, University of Padova, Italy; Movement Control and Neuroplasticity Research Group, KU, Leuven, Belgium.
Schizophr Res. 2024 Sep;271:47-58. doi: 10.1016/j.schres.2024.06.044. Epub 2024 Jul 15.
Cognitive functioning is a crucial aspect in schizophrenia (SZ), and when altered it has devastating effects on patients' quality of life and treatment outcomes. Several studies suggested that they could result from altered communication between the cortex and cerebellum. However, the neural correlates underlying these impairments have not been identified. In this study, we investigated resting state functional connectivity (rsFC) in SZ patients, by considering the interactions between cortical networks supporting cognition and cerebellum. In addition, we investigated the relationship between SZ patients' rsFC and their symptoms. We used fMRI data from 74 SZ patients and 74 matched healthy controls (HC) downloaded from the publicly available database SchizConnect. We implemented a seed-based connectivity approach to identify altered functional connections between specific cortical networks and cerebellum. We considered ten commonly studied resting state networks, whose functioning encompasses specific cognitive functions, and the cerebellum, whose involvement in supporting cognition has been recently identified. We then explored the relationship between altered rsFC values and Positive and Negative Syndrome Scale (PANSS) scores. The SZ group showed increased connectivity values compared with HC group for cortical networks involved in attentive processes, which were also linked to PANSS items describing attention and language-related processing. We also showed decreased connectivity between cerebellar regions, and increased connectivity between them and attentive networks, suggesting the contribution of cerebellum to attentive and affective deficits. In conclusion, our findings highlighted the link between negative symptoms in SZ and altered connectivity within the cerebellum and between the same and cortical networks supporting cognition.
认知功能是精神分裂症(SZ)的一个关键方面,当认知功能发生改变时,会对患者的生活质量和治疗结果产生毁灭性的影响。有几项研究表明,这可能是由于大脑皮层和小脑之间的通讯改变所致。然而,这些损伤的神经相关性尚未确定。在这项研究中,我们通过考虑支持认知的皮层网络与小脑之间的相互作用,研究了 SZ 患者的静息状态功能连接(rsFC)。此外,我们还研究了 SZ 患者 rsFC 与其症状之间的关系。我们使用了从公开可用的数据库 SchizConnect 下载的 74 名 SZ 患者和 74 名匹配的健康对照者(HC)的 fMRI 数据。我们采用基于种子的连接方法来识别特定皮层网络与小脑之间改变的功能连接。我们考虑了十个常用的静息状态网络,其功能涵盖了特定的认知功能,以及最近被认为有助于支持认知的小脑。然后,我们探讨了改变的 rsFC 值与阳性和阴性症状量表(PANSS)评分之间的关系。与 HC 组相比,SZ 组在参与注意力过程的皮层网络中显示出更高的连接值,这些网络与描述注意力和语言相关处理的 PANSS 项目也有关联。我们还显示小脑区域之间的连接减少,以及它们与注意力网络之间的连接增加,这表明小脑对注意力和情感缺陷的贡献。总之,我们的发现强调了 SZ 阴性症状与小脑以及同一小脑与支持认知的皮层网络之间改变的连接之间的联系。