Title :
Visual cortical circuits revealed using fMRI and ICA
Author :
Alkan, Yelda ; Biswal, Bharat B. ; Alvarez, Tara L.
Author_Institution :
Dept. of Biomed. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
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.
Keywords :
biomechanics; biomedical MRI; eye; ICA algorithm; cerebellar pathway; fMRI; functional activity; image processing; oculomotor tracking; visual cortical circuits; Biomedical engineering; Circuits; High-resolution imaging; Independent component analysis; Protocols; Radiology; Spatial resolution; Target tracking; Tellurium; Transmission line matrix methods;
Conference_Titel :
Bioengineering Conference, Proceedings of the 2010 IEEE 36th Annual Northeast
Conference_Location :
New York, NY
Print_ISBN :
978-1-4244-6879-9
DOI :
10.1109/NEBC.2010.5458272