Visual cortical circuits revealed using fMRI and ICA

Document Type

Conference Proceeding

Publication Date

6-8-2010

Abstract

This research used the Infomax ICA algorithm to search for independent circuits within the functional activity evoked during saccadic and vergence tracking fMRI experiments. Image processing determined independent components from each subject's data and then identified which components had high correlation between subjects. Using the individual independent components that had high correlation between subjects, a group ICA was performed. The temporal properties between ROIs were then examined. The results of this study indicated that there are two separate spatial pathways; fronto-parietal and cerebellum, involved in oculomotor tracking tasks and the cerebellar pathway was delayed compared to the fronto-parietal component. ©2010 IEEE.

Identifier

77953063633 (Scopus)

ISBN

[9781424468799]

Publication Title

Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference Nebec 2010

External Full Text Location

https://doi.org/10.1109/NEBC.2010.5458272

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