Architecture of fluid intelligence and working memory revealed by lesion mapping
Architecture of fluid intelligence and working memory revealed by lesion mapping
复制标题
DOI：
10.1007/s00429-013-0512-z
复制
发表时间：
2014-03-01
影响因子：
3.1
通讯作者：
Grafman, Jordan
中科院分区：
文献类型：
--
作者：
Barbey, Aron K.;Colom, Roberto;Grafman, Jordan
虽然认知神经科学在理解前额叶皮层在人类智力中的作用方面取得了有价值的进展，但支持适应性行为和新问题解决的功能网络仍然需要很好的表征。在这里，我们研究了158名人类脑损伤患者，以调查流体智力和工作记忆的关键能力的认知和神经基础。我们进行了一系列神经心理学测试，包括韦氏成人智力量表（WAIS）和N-Back任务。应用潜变量模型获得流体智力和工作记忆的无错分数，然后通过基于体素的病变症状映射来阐明其神经基质。所观察到的潜变量建模和病变结果支持理解流体智力和工作记忆的架构的综合框架，并提出具体的建议的WAIS和N-Back任务的解释和应用的流体智力在健康和疾病的研究。
Although cognitive neuroscience has made valuable progress in understanding the role of the prefrontal cortex in human intelligence, the functional networks that support adaptive behavior and novel problem solving remain to be well characterized. Here, we studied 158 human brain lesion patients to investigate the cognitive and neural foundations of key competencies for fluid intelligence and working memory. We administered a battery of neuropsychological tests, including the Wechsler Adult Intelligence Scale (WAIS) and the N-Back task. Latent variable modeling was applied to obtain error-free scores of fluid intelligence and working memory, followed by voxel-based lesion-symptom mapping to elucidate their neural substrates. The observed latent variable modeling and lesion results support an integrative framework for understanding the architecture of fluid intelligence and working memory and make specific recommendations for the interpretation and application of the WAIS and N-Back task to the study of fluid intelligence in health and disease.