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Predicting human cortical connectivity for language areas using the Conel database
Description
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.
Journal
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- IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)
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IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339) 1 293-295, 2003-01-22
IEEE
