Department of Neuroscience and Behaviour, Ribeirão Preto Medical School, University of São Paulo, Brazil, 3900, Bandeirantes Avenue, Monte Alegre, 14040-900 Ribeirão Preto, São Paulo, Brazil.
Department of Physics, InBrain Laboratory, Faculty of Philosophy Sciences and Letters of Ribeirão Preto-University of Sao Paulo, Brazil, 3900, Bandeirantes Avenue, Monte Alegre, 14040-901 Ribeirão Preto, São Paulo, Brazil.
Schizophr Res. 2024 May;267:156-164. doi: 10.1016/j.schres.2024.03.026. Epub 2024 Mar 27.
We characterized the neurocognitive profile of communed-based individuals and unaffected siblings of patients with psychosis from Brazil reporting psychotic experiences (PEs). We also analyzed associations between PEs and the intra and inter-functional connectivity (FC) in the Default Mode Network (DMN), the Fronto-Parietal Network (FPN) and the Salience Network (SN) measured by functional magnetic resonance imaging. The combined sample of communed-based individuals and unaffected siblings of patients with psychosis comprised 417 (neurocognition) and 85 (FC) volunteers who were divided as having low (<75th percentile) and high (≥75th percentile) PEs (positive, negative, and depressive dimensions) assessed by the Community Assessment of Psychic Experiences. The neurocognitive profile and the estimated current brief intellectual quotient (IQ) were assessed using the digit symbol (processing speed), arithmetic (working memory), block design (visual learning) and information (verbal learning) subtests of Wechsler Adult Intelligence Scale-third edition. Logistic regression models were performed for neurocognitive analysis. For neuroimaging, we used the CONN toolbox to assess FC between the specified regions, and ROI-to-ROI analysis. In the combined sample, high PEs (all dimensions) were related to lower processing speed performance. High negative PEs were related to poor visual learning performance and lower IQ, while high depressive PEs were associated with poor working memory performance. Those with high negative PEs presented FPN hypoconnectivity between the right and left lateral prefrontal cortex. There were no associations between PEs and the DMN and SN FC. Brazilian individuals with high PEs showed neurocognitive impairments like those living in wealthier countries. Hypoconnectivity in the FPN in a community sample with high PEs is coherent with the hypothesis of functional dysconnectivity in schizophrenia.
我们对来自巴西的报告有精神病性体验（PEs）的精神病患者的基于社区的个体和未受影响的兄弟姐妹的神经认知特征进行了描述。我们还分析了 PEs 与默认模式网络（DMN）、额顶网络（FPN）和突显网络（SN）的功能连接（FC）之间的关联，这些连接是通过功能磁共振成像测量的。基于社区的个体和未受影响的精神病患者兄弟姐妹的合并样本包括 417 名（神经认知）和 85 名（FC）志愿者，他们根据社区心理体验评估量表（Community Assessment of Psychic Experiences）分为低（<75 百分位数）和高（≥75 百分位数）PE（阳性、阴性和抑郁维度）。使用韦氏成人智力测验第三版的数字符号（处理速度）、算术（工作记忆）、积木设计（视觉学习）和信息（言语学习）测验来评估神经认知特征和估计当前的简短智商（IQ）。逻辑回归模型用于神经认知分析。对于神经影像学，我们使用 CONN 工具箱来评估指定区域之间的 FC，以及 ROI-ROI 分析。在合并样本中，高 PEs（所有维度）与较低的处理速度表现相关。高负性 PEs 与视觉学习表现差和 IQ 低有关，而高抑郁性 PEs 与工作记忆表现差有关。高负性 PEs 者的 FPN 左右外侧前额叶皮质之间存在连接不足。PEs 与 DMN 和 SN FC 之间没有关联。有高 PEs 的巴西人表现出与生活在较富裕国家的人相似的神经认知障碍。在有高 PEs 的社区样本中，FPN 的连接不足与精神分裂症的功能连接失调假说一致。
