𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Detection of eye movements from fMRI data

✍ 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.

✦ 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 meta‐analyses. Magn Reson Med 49:376–380, 2003. Published 2003 Wiley‐Liss, Inc.


πŸ“œ SIMILAR VOLUMES


Automatic detection and resolution of sy
✍ H.Edward Degler Jr; Jack R. Smith; Frank O. Black πŸ“‚ Article πŸ“… 1975 πŸ› Elsevier Science 🌐 English βš– 566 KB

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

Recordings of eye movements for stimulus
✍ Jacques Felblinger; RenΓ© M. MΓΌri; Christoph Ozdoba; Gerhard Schroth; Christian W πŸ“‚ Article πŸ“… 1996 πŸ› John Wiley and Sons 🌐 English βš– 527 KB

## Abstract A method for monitoring eye movements in humans during functional MRI is presented. It is based on the acquisition of electro‐oculographic (EOG) signals near one eye. EOG potentials were amplified and converted into an optical signal just outside the head coil. An optical fiber was used

Removal of phase artifacts from fMRI dat
✍ Bradley G. Goodyear; Hongmei Zhu; Robert A. Brown; J. Ross Mitchell πŸ“‚ Article πŸ“… 2003 πŸ› John Wiley and Sons 🌐 English βš– 221 KB

## Abstract A novel and automated technique is described for removing fMRI image artifacts resulting from motion outside of the imaging field of view. The technique is based on the Stockwell transform (ST), a mathematical operation that provides the frequency content at each time point within a tim

Estimation of respiration-induced noise
✍ Lawrence R. Frank; Richard B. Buxton; Eric C. Wong πŸ“‚ Article πŸ“… 2001 πŸ› John Wiley and Sons 🌐 English βš– 510 KB

## Abstract Functional MRI time series data are known to be contaminated by highly structured noise due to physiological fluctuations. Significant components of this noise are at frequencies greater than those critically sampled in standard multislice imaging protocols and are therefore aliased int