Real time functional MRI training to decrease motion in imaging studies: Lack of significant improvement

Tessy M Lal1, Philip R Baldwin1,2, Ming-Bo Cai3

  • 1Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas.

Insights

Providing real-time head movement feedback during functional magnetic resonance imaging (fMRI) scans yielded marginal improvements in subject stillness. This strategy, while potentially helpful for some, is not yet sufficiently successful for widespread implementation in brain imaging research.

Area of Science:

  • Neuroimaging
  • Cognitive Neuroscience
  • Psychiatric Research

Background:

  • Functional magnetic resonance imaging (fMRI) is crucial for studying brain function in health and disease.
  • Head motion during fMRI scans is a significant source of image artifacts and data confounding.
  • Reducing subject movement in the MRI scanner remains a persistent challenge in neuroimaging research.

Purpose of the Study:

  • To investigate the efficacy of real-time head motion feedback as a strategy to improve subject stillness during fMRI.
  • To determine if visual feedback of movement can train subjects to reduce motion during scanning.

Main Methods:

  • Participants underwent fMRI scanning while a real-time plot of their head movement was displayed.
  • The feedback plot featured three distinct regions to guide subjects on their movement levels.
  • Data analysis focused on the degree of motion reduction achieved with the feedback intervention.

Main Results:

  • The real-time feedback intervention resulted in marginal and inconsistent improvements in head stillness.
  • The observed benefits varied among participants, indicating limited generalizability.
  • The strategy did not prove sufficiently effective in the tested sample to warrant immediate adoption.

Conclusions:

  • Real-time visual feedback of head motion is not currently a sufficiently effective method to significantly reduce motion in fMRI studies.
  • Further research may be needed to refine feedback strategies or explore alternative motion reduction techniques.
  • Motion artifacts continue to pose a challenge for reliable fMRI data acquisition, particularly in clinical populations.