Predicting human cortical connectivity for language areas using the Conel database

Author

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

Author_Institution

Grad. Sch. of Media & Governance, Keio Univ., Yokohama, Japan

Volume

1

fYear

1999

fDate

6/21/1905 12:00:00 AM

Firstpage

293

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

Keywords

neural nets; neurophysiology; physiological models; Brodmann areas; Conel database; age point; correlation coefficients; cortical area; human cortical connectivity; language areas; neural network models; Cerebral cortex; Data analysis; Humans; Microscopy; Nerve fibers; Neural networks; Neuroimaging; Neurons; Relational databases; Spatial databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1999. IJCNN '99. International Joint Conference on

ISSN

1098-7576

Print_ISBN

0-7803-5529-6

Type

conf

DOI

10.1109/IJCNN.1999.831504

Filename

831504