Predicting human cortical connectivity for language areas using the Conel database

Ryuta Fukuda, Junko Hara, William R. Shankle, Toshio Inui, Masaru Tomita

Research output: Contribution to conferencePaperpeer-review


Connectivity between language-related Brodmann areas derived from analyses of data source provided by J. L. Conel has been proposed. The analysis consisted 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 neuroimaging, psychological tests, and also support some seemingly unusual findings reported by others.

Original languageEnglish
Number of pages3
Publication statusPublished - 1999
EventInternational Joint Conference on Neural Networks (IJCNN'99) - Washington, DC, USA
Duration: 1999 Jul 101999 Jul 16


OtherInternational Joint Conference on Neural Networks (IJCNN'99)
CityWashington, DC, USA

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence


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