An electronic system is described which is capable of discriminating among horizontal, vertical and oblique synchronous rapid eye movements (REMs). A simplified model expressing the voltages recorded on the electrooculogram as a function movement angle is presented. A computer solution of the equati
Detection of eye movements from fMRI data
β Scribed by Michael S. Beauchamp
- Publisher
- John Wiley and Sons
- Year
- 2003
- Tongue
- English
- Weight
- 434 KB
- Volume
- 49
- Category
- Article
- ISSN
- 0740-3194
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
Awake humans make eye movements with amplitudes and frequencies that depend on behavioral state and task. This poses two problems for functional magnetic resonance imaging (fMRI) studies that compare brain activity across tasks. First, motion of the eye in the orbit increases the variance of the MR signal in adjacent regions of the orbitofrontal cortex, hampering activation detection. Second, eye movements are associated with activity in a distributed network of brain areas, confounding comparisons of task activation. Direct measurement of eye movements in the scanner bore is possible with expensive and technically demanding equipment. A method is described that detects eye movements directly from MR data without the use of additional equipment. Changes in the MR time series from the vitreous of the eye were observed that correlated with eye movements, as measured directly with an infrared pupil tracking system. In each of 10 subjects, the variance of the MR time series from the eye vitreous was greater when the subject made eye movements than when the subject fixated centrally (average standard deviation (SD) 99.7 vs. 75.6, P = 0.001). The assessment of eye movements directly from fMRI data may be especially useful for retrospective and metaβanalyses. Magn Reson Med 49:376β380, 2003. Published 2003 WileyβLiss, Inc.
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