Prefrontal brain network connectivity indicates degree of both schizophrenia risk and cognitive dysfunction.
Prefrontal brain network connectivity indicates degree of both schizophrenia risk and cognitive dysfunction.
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DOI：
10.1093/schbul/sbt077
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发表时间：
2013-09
影响因子：
6.6
通讯作者：
P. Unschuld;Alison S Buchholz;M. Varvaris;Peter C. M. van Zijl;C. Ross;J. Pekar;C. Hock;J. Sweeney;C. Tamminga;M. Keshavan;G. Pearlson;G. Thaker;D. Schretlen
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文献类型：
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作者：
P. Unschuld;Alison S Buchholz;M. Varvaris;Peter C. M. van Zijl;C. Ross;J. Pekar;C. Hock;J. Sweeney;C. Tamminga;M. Keshavan;G. Pearlson;G. Thaker;D. Schretlen
目的 认知功能障碍是精神分裂症的核心特征，有精神分裂症风险的人可能会表现出注意力和工作记忆的细微缺陷。在这项研究中，我们研究了功能性大脑网络的完整性与注意力和工作记忆任务的表现以及精神分裂症风险之间的关系。方法 总共 235 名代表 3 个风险级别的成年人（102 名精神分裂症门诊患者、70 名未受影响的精神分裂症患者一级亲属和 63 名不相关的健康对照者 [HC]）于同一天。功能网络是基于与背侧前扣带皮层、背外侧前额叶皮层（DLPFC）、内侧前额叶皮层（MPFC）和初级视觉皮层中的种子的耦合来定义的。然后，网络被分解为区域连接集群，用于生成代表每个网络内功能连接的单独交互矩阵。结果与对照组相比，精神分裂症患者及其一级亲属均表现出认知功能障碍。第一个规范表明认知表现与 DLPFC 和 MPFC 网络内的连接性之间存在反比关系。多变量方差分析揭示了较高的精神分裂症风险状态对 DLPFC 和 MPFC 网络内连接性增加的多变量主要影响。结论 这些数据表明，大脑网络内分别与 DLPFC 和 MPFC 耦合的过度连接会伴随有精神分裂症风险的人的认知缺陷。这可能反映了注意力认知处理和工作记忆任务所需的神经系统对与精神分裂症相关的大脑变化的补偿反应。
OBJECTIVE Cognitive dysfunction is a core feature of schizophrenia, and persons at risk for schizophrenia may show subtle deficits in attention and working memory. In this study, we investigated the relationship between integrity of functional brain networks and performance in attention and working memory tasks as well as schizophrenia risk. METHODS A total of 235 adults representing 3 levels of risk (102 outpatients with schizophrenia, 70 unaffected first-degree relatives of persons with schizophrenia, and 63 unrelated healthy controls [HCs]) completed resting-state functional magnetic resonance imaging and a battery of attention and working memory tasks (Brief Test of Attention, Hopkins Verbal Learning Test, and Brief Visuospatial Memory Test) on the same day. Functional networks were defined based on coupling with seeds in the dorsal anterior cingulate cortex, dorsolateral prefrontal cortex (DLPFC), medial prefrontal cortex (MPFC), and primary visual cortex. Networks were then dissected into regional clusters of connectivity that were used to generate individual interaction matrices representing functional connectivity within each network. RESULTS Both patients with schizophrenia and their first-degree relatives showed cognitive dysfunction compared with HCs. First canonicals indicated an inverse relationship between cognitive performance and connectivity within the DLPFC and MPFC networks. Multivariate analysis of variance revealed multivariate main effects of higher schizophrenia risk status on increased connectivity within the DLPFC and MPFC networks. CONCLUSIONS These data suggest that excessive connectivity within brain networks coupled to the DLPFC and MPFC, respectively, accompany cognitive deficits in persons at risk for schizophrenia. This might reflect compensatory reactions in neural systems required for cognitive processing of attention and working memory tasks to brain changes associated with schizophrenia.