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Distributed neural system for general intelligence revealed by lesion mapping

机译:病灶映射显示用于一般智能的分布式神经系统

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摘要

General intelligence (g) captures the performance variance shared across cognitive tasks and correlates with real-world success. Yet it remains debated whether g reflects the combined performance of brain systems involved in these tasks or draws on specialized systems mediating their interactions. Here we investigated the neural substrates of g in 241 patients with focal brain damage using voxel-based lesion–symptom mapping. A hierarchical factor analysis across multiple cognitive tasks was used to derive a robust measure of g. Statistically significant associations were found between g and damage to a remarkably circumscribed albeit distributed network in frontal and parietal cortex, critically including white matter association tracts and frontopolar cortex. We suggest that general intelligence draws on connections between regions that integrate verbal, visuospatial, working memory, and executive processes.
机译:通用情报(g)捕获了认知任务之间共享的绩效差异,并与现实世界中的成功相关。然而,是否g反映了参与这些任务的大脑系统的综合性能还是利用专门的系统来调解它们之间的相互作用还存在争议。在这里,我们使用基于体素的病变-症状图谱研究了241名局灶性脑损伤患者中g的神经底物。跨多个认知任务的分层因素分析用于得出g的可靠度量。尽管在额叶和顶叶皮层中有明显限制的分布网络,但在g与损害之间存在统计学上的显着关联,其中关键包括白质缔合区和额极皮层。我们建议,一般情报利用整合了言语,视觉空间,工作记忆和执行流程的区域之间的联系。

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