Title :
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
fDate :
6/21/1905 12:00:00 AM
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;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.831504