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Related Concept Videos

Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
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Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI
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Real-time artifact filtering in continuous VEPs/fMRI recording.

Muhammad Nabeel Anwar1, Laura Bonzano, Davide Rossi Sebastiano

  • 1Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, G3-50, 4259 Nagatsuta, Midori-ku, Yokohama 226-8502, Japan. nabeel@ito.dis.titech.ac.jp

Journal of Neuroscience Methods
|August 18, 2009
PubMed
Summary

This study introduces a novel method for simultaneous continuous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) recording to assess visual cortex function. The technique effectively filters artifacts, enabling reliable correlation of electrophysiological and neuroimaging data.

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Area of Science:

  • Neuroscience
  • Medical Imaging
  • Electrophysiology

Background:

  • Simultaneous recording of Visual Evoked Potentials (VEPs) and functional Magnetic Resonance Imaging (fMRI) offers complementary temporal and spatial resolutions for studying visual function.
  • Existing methods face challenges with artifact filtering during concurrent electroencephalography (EEG) and MRI acquisition.

Purpose of the Study:

  • To develop and validate a new method for continuous VEPs/fMRI recording.
  • To investigate visual function by correlating electrophysiological and neuroimaging data.
  • To assess the reliability of the technique in normal subjects and a patient with optic neuritis.

Main Methods:

  • Developed a real-time artifact filtering procedure based on echo-planar imaging (EPI) sequence parameters and EEG artifact shapes.
  • Minimized magnetic field artifacts using a dedicated amagnetic device and a subtraction algorithm incorporating EPI parameters.
  • Recorded continuous VEPs and fMRI simultaneously in seven normal subjects and one patient with optic neuritis.

Main Results:

  • No significant decrease in signal-to-noise ratio was observed during simultaneous EEG and MR acquisition.
  • Transient and steady-state VEPs parameters remained comparable during fMRI acquisition and off-phase recording.
  • The method revealed different results in a patient with optic neuritis compared to controls.

Conclusions:

  • The developed technique reliably enables continuous VEPs/fMRI recording for studying human visual cortex function.
  • This method allows for accurate correlation of electrophysiological and functional neuroimaging changes.
  • The findings support the utility of this technique for clinical and research applications in visual neuroscience.