Predicting human cortical connectivity for language areas using the Conel database

Ryuta Fukuda, J. Hara, W. Shankle, T. Inui, M. Tomita
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引用次数: 0

Abstract

Connectivity between language related Brodmann areas derived from analyses of data source provided by Conel (1939-1967) has been proposed. The analysis consists of computing the correlation coefficients between each layer of one cortical area to each layer of another cortical area over the 8 age points. A "connection" was created between two layers of two cortical areas if: 1) its z-score have significance level less than 20%, and 2) the two layers began myelinating at the same age point. Predicted connections are consistent with neural network models derived neuro-imaging, psychological tests, and also support some seemingly unusual findings reported by others.
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使用Conel数据库预测人类皮层语言区域的连通性
通过对Conel(1939-1967)提供的数据源的分析,提出了语言相关的Brodmann区域之间的连通性。分析包括计算在8个年龄点上一个皮质区域的每一层与另一个皮质区域的每一层之间的相关系数。如果:1)其z-score的显著性水平小于20%,并且2)两层在同一年龄点开始髓鞘形成,则在两个皮质区域的两层之间建立了“连接”。预测的连接与神经网络模型、神经成像、心理测试相一致,也支持了其他人报告的一些看似不寻常的发现。
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