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本文引用的文献

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Variability in the analysis of a single neuroimaging dataset by many teams.由多个团队对单个神经影像学数据集进行分析的可变性。
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A systematic review of associations between functional MRI activity and polygenic risk for schizophrenia and bipolar disorder.一项关于功能磁共振成像活动与精神分裂症和双相情感障碍多基因风险之间关联的系统评价。
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Polygenic risk for schizophrenia affects working memory and its neural correlates in healthy subjects.精神分裂症的多基因风险影响健康受试者的工作记忆及其神经相关性。
Schizophr Res. 2018 Jul;197:315-320. doi: 10.1016/j.schres.2018.01.013. Epub 2018 Mar 1.
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The use of polygenic risk scores to identify phenotypes associated with genetic risk of schizophrenia: Systematic review.多基因风险评分在识别与精神分裂症遗传风险相关表型中的应用:系统评价。
Schizophr Res. 2018 Jul;197:2-8. doi: 10.1016/j.schres.2017.10.037. Epub 2017 Nov 10.
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Effects of Schizophrenia Polygenic Risk Scores on Brain Activity and Performance During Working Memory Subprocesses in Healthy Young Adults.精神分裂症多基因风险评分对健康年轻成年人工作记忆子过程中大脑活动和表现的影响。
Schizophr Bull. 2018 Jun 6;44(4):844-853. doi: 10.1093/schbul/sbx140.
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Heritability of Schizophrenia and Schizophrenia Spectrum Based on the Nationwide Danish Twin Register.基于全国丹麦双胞胎登记处的精神分裂症和精神分裂症谱系的遗传率。
Biol Psychiatry. 2018 Mar 15;83(6):492-498. doi: 10.1016/j.biopsych.2017.08.017. Epub 2017 Sep 1.
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Seeking Optimal Region-Of-Interest (ROI) Single-Value Summary Measures for fMRI Studies in Imaging Genetics.在影像遗传学的功能磁共振成像(fMRI)研究中寻找最佳感兴趣区域(ROI)单值汇总指标。
PLoS One. 2016 Mar 14;11(3):e0151391. doi: 10.1371/journal.pone.0151391. eCollection 2016.
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Age-specific MRI brain and head templates for healthy adults from 20 through 89 years of age.针对20至89岁健康成年人的特定年龄脑部和头部MRI模板。
Front Aging Neurosci. 2015 Apr 8;7:44. doi: 10.3389/fnagi.2015.00044. eCollection 2015.
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Neurocognitive performance in family-based and case-control studies of schizophrenia.精神分裂症基于家系和病例对照研究中的神经认知表现。
Schizophr Res. 2015 Apr;163(1-3):17-23. doi: 10.1016/j.schres.2014.10.049.
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Psychometric properties of the Penn Computerized Neurocognitive Battery.宾夕法尼亚计算机化神经认知测试组合的心理测量特性。
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精神分裂症的遗传风险与宾夕法尼亚条件排除测试期间的大脑激活:一项多重扩展家系研究。

Genetic risk for schizophrenia and brain activation during the Penn Conditional Exclusion Test: A multiplex extended pedigree study.

作者信息

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

机构信息

Department of Psychology, University of Pittsburgh.

Department of Psychiatry, University of Pennsylvania.

出版信息

J Psychopathol Clin Sci. 2025 Apr;134(3):272-283. doi: 10.1037/abn0000973. Epub 2025 Feb 27.

DOI:10.1037/abn0000973
PMID:40014520
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11949699/
Abstract

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).

摘要

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)