Rupert Petra E, Roalf David R, Prasad Konasale M, Kuo Susan S, Musket Christie W, Wood Joel, Gur Ruben C, Almasy Laura, Gur Raquel E, Nimgaonkar Vishwajit L, Pogue-Geile Michael F
Department of Psychology, University of Pittsburgh.
Department of Psychiatry, University of Pennsylvania.
J Psychopathol Clin Sci. 2025 Apr;134(3):272-283. doi: 10.1037/abn0000973. Epub 2025 Feb 27.
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 ( = -0.49, < .001) and in the scanner ( = -0.59, < .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).
与对照组相比,精神分裂症患者在各种认知任务上表现较差,大脑激活模式也常常不同,这些任务包括那些需要抑制反应并转向新反应的任务。本研究旨在考察一项旨在测量认知灵活性的任务——宾夕法尼亚条件排除测验(PCET)的表现及其相关的大脑激活情况(通过功能磁共振成像评估)在多大程度上可以利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名他们的一级至四级亲属以及258名无关对照组)在磁共振成像扫描仪内外完成了类似版本的PCET。为了考察可能作为表现基础的大脑激活情况,确定了10个感兴趣区域,这些区域的激活与表现显著相关。为了考察诊断特异性,我们还研究了诊断为重度抑郁症与PCET表现及大脑激活之间的遗传相关性。在错误发现率校正后,无论是在扫描仪外(r = -0.49,p <.001)还是在扫描仪内(r = -0.59,p <.001),表现与精神分裂症均存在显著的遗传相关性。相比之下,在错误发现率校正后,精神分裂症与所确定的感兴趣区域的大脑激活之间的遗传相关性均不显著。行为表现和大脑激活测量指标与抑郁症均无显著的遗传相关性。这些结果表明,与与表现相关的功能磁共振成像激活相比,PCET上的行为表现对精神分裂症遗传风险更敏感(与抑郁症相比也更具特异性)。(PsycInfo数据库记录(c)2025美国心理学会,保留所有权利)