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Conference Report

The potential of fMRI-based biofeedback for chronic back pain †

Service neuro-diagnostique et neuro-inter ventionnel DISIM, Hôpitaux Universitaires de Genève, Rue Gabrielle Perret-Gentil 4, CH-1211 Genève 14
Lecture at the 1st Congress Swiss Federation of Clinical Neuro- Societies (SFCNS), June 2–4, 2010.
Swiss Arch. Neurol. Psychiatry Psychother. 2010, 161(6), 237; https://doi.org/10.4414/sanp.2010.02179
Published: 1 January 2010

Key points

  • Real-time functional magnetic resonance imaging (rtfMRI) neurofeedback is a recently introduced advanced functional MRI technique by which it is possible to learn voluntary control over specific brain areas by means of operant conditioning [1].
  • The few currently available rtfMRI neurofeedback studies in healthy volunteers have demonstrated the following fundamental properties of voluntary control of brain activations:
    a.
    The neurofeedback effect is specific and spatially highly localised in the brain [1].
    b.
    A gradual up and down regulation is possible.
    c.
    The neurofeedback effect persists over time [2].
    d.
    rtfMRI neurofeedback may influence behaviour e.g., some aspects of linguistic processing (emotional prosodic) improve after voluntary up-regulation of the right-hemispheric analogue of Broca’s area [3].
  • The ability to learn voluntary control over specific brain areas suggests that rtfMRI neurofeedback may be applied to numerous diseases. Currently there have been only two clinical rtfMRI neurofeedback studies showing a positive effect on chronic pain [4] and on tinnitus [5]. rtfMRI neurofeedback is naturally very costly in the initial training phase, but once an individual neurofeedback strategy is learned it can be applied by the individual in everyday situations without additional cost, making this method potentially costeffective in the long term, given that chronic diseases persist over many years.
  • With respect to potential clinical application of rtfMRI neurofeedback e.g., in chronic back pain, it is highly probable that greater control over brain activations will result in a more pronounced behavioural effect, which means that the method should be optimised to obtain maximum regulation of brain activations in multiple domains. For example, a motivational feedback consisting of an adapted game may be more efficient than the non-motivational thermometer-style feedback typically implemented at present (activation visually presented as increasing or decreasing bar graph). Other dimensions in need of optimisation are duration and number of feedback sessions, the delay between feedback sessions, “booster” feedback sessions, etc.
  • If an optimal and long-lasting effect is to be obtained from rtfMRI neurofeedback, it should be embedded in a multidisciplinary clinical approach.

Funding/potential conflict of interest

No conflict of interest.

References

  1. Weiskopf N, Veit R, Erb M, Mathiak K, Grodd W, Goebel R, et al. Physiological self-regulation of regional brain activity using real-time functional magnetic resonance imaging (fMRI): methodology and exemplary data. Neuroimage. 2003;19:577–86.
  2. Yoo SS, Lee JH, O’Leary H, Panych LP Jolesz FA. Neurofeedback fMRImediated learning and consolidation of regional brain activation during motor imagery. Int J Imaging Syst Technol. 2008;18:69–78.
  3. Rota G, Sitaram R, Veit R, Erb M, Weiskopf N, Dogil G, et al. Selfregulation of regional cortical activity using real-time fMRI: the right inferior frontal gyrus and linguistic processing. Hum Brain Mapp. 2009; 30:1605–14.
  4. deCharms RC, Maeda F, Glover GH, Ludlow D, Pauly JM, Soneji D, et al. Control over brain activation and pain learned by using real-time functional MRI. Proc Natl Acad Sci. USA 2005;102:18626–31.
  5. Haller S, Veit R. Real-time fMRI biofeedback may improve chronic tinnitus: proof of principle. European Congress of Radiology. 2009.

Share and Cite

MDPI and ACS Style

Haller, S. The potential of fMRI-based biofeedback for chronic back pain. Swiss Arch. Neurol. Psychiatry Psychother. 2010, 161, 237. https://doi.org/10.4414/sanp.2010.02179

AMA Style

Haller S. The potential of fMRI-based biofeedback for chronic back pain. Swiss Archives of Neurology, Psychiatry and Psychotherapy. 2010; 161(6):237. https://doi.org/10.4414/sanp.2010.02179

Chicago/Turabian Style

Haller, Sven. 2010. "The potential of fMRI-based biofeedback for chronic back pain" Swiss Archives of Neurology, Psychiatry and Psychotherapy 161, no. 6: 237. https://doi.org/10.4414/sanp.2010.02179

APA Style

Haller, S. (2010). The potential of fMRI-based biofeedback for chronic back pain. Swiss Archives of Neurology, Psychiatry and Psychotherapy, 161(6), 237. https://doi.org/10.4414/sanp.2010.02179

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