Predicting human cortical connectivity for language areas using the Conel database

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

Predicting human cortical connectivity for language areas using the Conel database

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

Faculty of Environment and Information Studies

Research output: Contribution to conference › Paper › peer-review

Abstract

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 language	English
Pages	293-295
Number of pages	3
Publication status	Published - 1999
Event	International Joint Conference on Neural Networks (IJCNN'99) - Washington, DC, USA Duration: 1999 Jul 10 → 1999 Jul 16

Other

Other	International Joint Conference on Neural Networks (IJCNN'99)
City	Washington, DC, USA
Period	99/7/10 → 99/7/16

ASJC Scopus subject areas

Software
Artificial Intelligence

Cite this

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title = "Predicting human cortical connectivity for language areas using the Conel database",

abstract = "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.",

author = "Ryuta Fukuda and Junko Hara and Shankle, {William R.} and Toshio Inui and Masaru Tomita",

year = "1999",

language = "English",

pages = "293--295",

note = "International Joint Conference on Neural Networks (IJCNN'99) ; Conference date: 10-07-1999 Through 16-07-1999",

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TY - CONF

T1 - Predicting human cortical connectivity for language areas using the Conel database

AU - Fukuda, Ryuta

AU - Hara, Junko

AU - Shankle, William R.

AU - Inui, Toshio

AU - Tomita, Masaru

PY - 1999

Y1 - 1999

N2 - 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.

AB - 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.

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M3 - Paper

AN - SCOPUS:0033332109

SP - 293

EP - 295

T2 - International Joint Conference on Neural Networks (IJCNN'99)

Y2 - 10 July 1999 through 16 July 1999

ER -

Predicting human cortical connectivity for language areas using the Conel database

Abstract

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ASJC Scopus subject areas

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