Visual cortical circuits revealed using fMRI and ICA

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference, NEBEC 2010
DOIs
StatePublished - Jun 8 2010
Event36th Annual Northeast Bioengineering Conference, NEBEC 2010 - New York, NY, United States
Duration: Mar 26 2010Mar 28 2010

Publication series

NameProceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference, NEBEC 2010

Other

Other36th Annual Northeast Bioengineering Conference, NEBEC 2010
CountryUnited States
CityNew York, NY
Period3/26/103/28/10

All Science Journal Classification (ASJC) codes

  • Bioengineering

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