DocumentCode :
2222232
Title :
Independent components of oculomotor learning
Author :
Alkan, Yelda ; Alvarez, Tara L. ; Biswal, Bharat B. ; Vicci, Vincent R.
Author_Institution :
Dept. of Biomed. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
fYear :
2009
fDate :
April 29 2009-May 2 2009
Firstpage :
163
Lastpage :
166
Abstract :
This research is an investigation of the visual circuit for saccadic and vergence eye movements using an oculomotor learning task to study the cerebral and cerebellar areas utilizing fMRI. Data from eight subjects were analyzed with analysis of functional neural images (AFNI) and the Infomax independent component analysis algorithm. This study showed that 1) neural activation is present in the prefrontal, frontal, parietal, occipital cortices, and cerebellar vermis (4/5) and cerebellar vermis (VI/VII) or declive for saccadic and vergence eye movements and 2) there are two distinct pathways involved in an oculomotor learning task. The first is a frontal-parietal and the second is cerebellar (VI/VII) pathway, for short-term oculomotor learning. These findings suggest that oculomotor learning utilizes two distinct circuits to learn a visual stimulus pattern.
Keywords :
biomechanics; biomedical MRI; eye; independent component analysis; neurophysiology; Infomax independent component analysis algorithm; analysis-of-functional neural image; cerebellar vermis (4/5); cerebellar vermis (VI/VII); fMRI; oculomotor learning; saccadic eye movement; vergence eye movement; visual circuit; visual stimulus pattern learning; Algorithm design and analysis; Circuits; Glass; Image analysis; Independent component analysis; Magnetic heads; Magnetic resonance imaging; Magnetic separation; Timing; USA Councils; AFNI; Informax-ICA; fMRI; saccades; vergence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Engineering, 2009. NER '09. 4th International IEEE/EMBS Conference on
Conference_Location :
Antalya
Print_ISBN :
978-1-4244-2072-8
Electronic_ISBN :
978-1-4244-2073-5
Type :
conf
DOI :
10.1109/NER.2009.5109260
Filename :
5109260
Link To Document :
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