Analysis of cortical connectivity using Hopfield neural network Journal Article
| Authors: | Dixit, S.; Mosier, K. |
| Article Title: | Analysis of cortical connectivity using Hopfield neural network |
| Abstract: | Functional magnetic resonance imaging (fMRI) is increasingly recognized as a standard technique for brain mapping and determining the connectivity between cortical regions. Statistical approaches to determining cortical connectivity, e.g. structural equation modeling between various regions of interest in the active brain can be computationally inefficient. This study explores the utility of a Hopfield neural network to determine cortical connectivity in an fMRI data set. © 2003 Elsevier B.V. All rights reserved. |
| Keywords: | adult; controlled study; functional assessment; nuclear magnetic resonance imaging; magnetic resonance imaging; image analysis; oxygen; brain cortex; computer language; correlation analysis; brain; medical imaging; data analysis; scoring system; computer simulation; functional magnetic resonance imaging; image processing; computer graphics; brain region; analytical error; normal human; human experiment; artificial neural networks; artificial neural network; neural network; principal component analysis; statistical methods; oxygen blood level; computational methods; neural networks; ultrasound scanner; human; male; female; priority journal; article; neurocomputing; neuroinformatics; cortical connectivity; structural equations; path analysis |
| Journal Title: | Neurocomputing |
| Volume: | 58-60 |
| ISSN: | 0925-2312 |
| Publisher: | Elsevier B.V. |
| Date Published: | 2004-06-01 |
| Start Page: | 1163 |
| End Page: | 1170 |
| Language: | English |
| DOI: | 10.1016/j.neucom.2004.01.181 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Neurocomputing -- Cited By (since 1996):1 -- Export Date: 16 June 2014 -- CODEN: NRCGE -- Source: Scopus |
