Petra E Rupert, David R Roalf, Konasale M Prasad, Susan S Kuo, Christie W Musket, Joel Wood, Ruben C Gur, Laura Almasy, Raquel E Gur, Vishwajit L Nimgaonkar, Michael F Pogue-Geile
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A total of 455 participants (27 schizophrenia probands, 170 of their first- to fourth-degree relatives, and 258 unrelated controls) completed similar versions of the PCET, both outside and inside a magnetic resonance imaging scanner. To examine brain activation that may underlie performance, ten regions of interest were identified where activation was significantly correlated with performance. To examine diagnostic specificity, we also investigated genetic correlations between diagnosed major depression and PCET performance and brain activation. Performance was significantly genetically correlated with schizophrenia both out of (<i>R</i><sub>g</sub> = -0.49, <i>p</i> < .001) and in the scanner (<i>R</i><sub>g</sub> = -0.59, <i>p</i> < .001) after false discovery rate correction. In contrast, none of the genetic correlations between schizophrenia and brain activation in the identified regions of interest were significant after false discovery rate correction. Neither behavioral performance nor brain activation measures were significantly genetically correlated with depression. These results suggest that behavioral performance on the PCET is more sensitive (and also specific compared with depression) to schizophrenia genetic risk than is functional magnetic resonance imaging activation that is correlated with performance. 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引用次数: 0
摘要
与对照组相比,精神分裂症患者在各种认知任务(包括那些需要抑制反应和转向新反应的任务)上的表现更差,大脑激活模式也常常不同。本研究试图检验在某种程度上,在一项旨在测量认知灵活性的任务上的表现,宾夕法尼亚条件排除测试(PCET)及其相关的大脑激活,作为功能性磁共振成像评估,可以使用扩展谱系设计反映精神分裂症的遗传风险。共有455名参与者(27名精神分裂症先证者,170名一至四级亲属,258名无血缘关系的对照组)完成了类似的PCET测试,包括在磁共振成像扫描仪外和内部。为了研究大脑活动可能是表现的基础,研究人员确定了10个感兴趣的区域,这些区域的活动与表现显著相关。为了检验诊断特异性,我们还研究了重度抑郁症诊断与PCET表现和大脑激活之间的遗传相关性。在错误发现率校正后,表现与精神分裂症有显著的遗传相关性(Rg = -0.49, p < .001)和在扫描仪中(Rg = -0.59, p < .001)。相比之下,在错误发现率校正后,精神分裂症和确定的感兴趣区域的大脑激活之间的遗传相关性都不显着。行为表现和大脑活动测量都与抑郁症没有显著的基因相关性。这些结果表明,与与表现相关的功能性磁共振成像激活相比,PCET的行为表现对精神分裂症遗传风险更敏感(而且与抑郁症相比也更具体)。(PsycInfo Database Record (c) 2025 APA,版权所有)。
Genetic risk for schizophrenia and brain activation during the Penn Conditional Exclusion Test: A multiplex extended pedigree study.
Individuals with schizophrenia have poorer performance and often differing patterns of brain activation compared to controls on a variety of cognitive tasks, including those that require inhibition of responses and shifting to new responses. This study sought to examine the degree to which performance on a task developed to measure cognitive flexibility, the Penn Conditional Exclusion Test (PCET), and its related brain activation, as assessed on functional magnetic resonance imaging, may reflect schizophrenia genetic risk using an extended pedigree design. A total of 455 participants (27 schizophrenia probands, 170 of their first- to fourth-degree relatives, and 258 unrelated controls) completed similar versions of the PCET, both outside and inside a magnetic resonance imaging scanner. To examine brain activation that may underlie performance, ten regions of interest were identified where activation was significantly correlated with performance. To examine diagnostic specificity, we also investigated genetic correlations between diagnosed major depression and PCET performance and brain activation. Performance was significantly genetically correlated with schizophrenia both out of (Rg = -0.49, p < .001) and in the scanner (Rg = -0.59, p < .001) after false discovery rate correction. In contrast, none of the genetic correlations between schizophrenia and brain activation in the identified regions of interest were significant after false discovery rate correction. Neither behavioral performance nor brain activation measures were significantly genetically correlated with depression. These results suggest that behavioral performance on the PCET is more sensitive (and also specific compared with depression) to schizophrenia genetic risk than is functional magnetic resonance imaging activation that is correlated with performance. (PsycInfo Database Record (c) 2025 APA, all rights reserved).