Effects of repetition rate of electric stimulation on MEG and fMRI signals

Keiji Iramina, Hirotake Kamei, Masato Yumoto, Shoogo Ueno

Research output: Contribution to journalConference articlepeer-review

7 Citations (Scopus)

Abstract

This study focuses on the physiological responses of somatosensory stimulation using magnetoencephalography (MEG) and functional MRI (fMRI). To investigate the relationship between neural activity and hemodynamic responses, the effect of the stimulus rate of electrical stimulation to the right thumb was investigated. In order to evaluate the blood oxygenation level dependent (BOLD) effects, signal power was calculated. The signal power is the integrated value from the beginning of the stimulation to the end of the sustained response, the point at which the signal recovers to the baseline. The signal power of fMRI and the dipole moment of MEG responses were compared. The MEG signals were measured using a 122-channel whole head SQUID system. When the stimulus frequencies were changed from 0.5 Hz to 10 Hz, the dipole moments of the M20 and M30 components of MEG signals were the largest at 1 Hz and 2Hz, respectively. A maximum signal power of fMRI occurs at a frequency higher than 2 Hz, approximately at 3 Hz or 5 Hz, and then decreases progressively. These results are in agreement with a previous positron emission tomography (PET) experiment; however, they do not concur with this MEG experiment.

Original languageEnglish
Pages (from-to)2918-2920
Number of pages3
JournalIEEE Transactions on Magnetics
Volume37
Issue number4 I
DOIs
Publication statusPublished - Jul 2001
Externally publishedYes
Event8th Joint Magnetism and Magnetic Materials -International Magnetic Conference- (MMM-Intermag) - San Antonio, TX, United States
Duration: Jan 7 2001Jan 11 2001

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Effects of repetition rate of electric stimulation on MEG and fMRI signals'. Together they form a unique fingerprint.

Cite this