Does assessment of personal exposure matter during experimental neurocognitive testing in MRI-related magnetic fields?

Magn Reson Med. 2015 Feb;73(2):765-72. doi: 10.1002/mrm.25173. Epub 2014 Mar 7.

Abstract

Purpose: To determine whether the use of quantitative personal exposure measurements in experimental research would result in better estimates of the associations between static and time-varying magnetic field exposure and neurocognitive test performance than when exposure categories were based solely on distance to the magnetic field source.

Methods: In our original analysis, based on distance to the magnet of a 7 T MRI scanner, an effect of exposure to static magnetic fields was observed. We performed a sensitivity analysis of test performance on a reaction task and line bisection task with different exposure measures that were derived from personal real-time measurements.

Results: The exposure measures were highly comparable, and almost all models resulted in significant associations between exposure to time-varying magnetic fields within a static magnetic field and performance on a reaction and line bisection task.

Conclusion: In a controlled experimental setup, distance to the bore is a good proxy for personal exposure when placing subjects at fixed positions with standardized head movements in the magnetic stray fields of a 7 T MRI. Use of a magnetic field dosimeter is, however, important for estimating quantitative exposure response associations.

Keywords: dosimeter; magnetic resonance imaging; neurocognitive tasks; personal exposure; static magnetic fields; time-varying magnetic fields.

Publication types

  • Randomized Controlled Trial
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Cognition / physiology*
  • Cognition / radiation effects
  • Cross-Over Studies
  • Double-Blind Method
  • Environmental Exposure / analysis*
  • Female
  • Humans
  • Magnetic Fields*
  • Magnetic Resonance Imaging*
  • Male
  • Radiation Dosage*
  • Radiometry / instrumentation
  • Radiometry / methods*
  • Reproducibility of Results
  • Sensitivity and Specificity