Normalization of aberrant resting state functional connectivity in fibromyalgia patients following a three month physical exercise therapy

P Flodin, S Martinsen, K Mannerkorpi, M Löfgren, I Bileviciute-Ljungar, E Kosek, P Fransson, P Flodin, S Martinsen, K Mannerkorpi, M Löfgren, I Bileviciute-Ljungar, E Kosek, P Fransson

Abstract

Physical exercise is one of the most efficient interventions to mitigate chronic pain symptoms in fibromyalgia (FM). However, little is known about the neurophysiological mechanisms mediating these effects. In this study we investigated resting-state connectivity using functional magnetic resonance imaging (fMRI) before and after a 15 week standardized exercise program supervised by physical therapists. Our aim was to gain an understanding of how physical exercise influences previously shown aberrant patterns of intrinsic brain activity in FM. Fourteen FM patients and eleven healthy controls successfully completed the physical exercise treatment. We investigated post- versus pre-treatment changes of brain connectivity, as well as changes in clinical symptoms in the patient group. FM patients reported improvements in symptom severity. Although several brain regions showed a treatment-related change in connectivity, only the connectivity between the right anterior insula and the left primary sensorimotor area was significantly more affected by the physical exercise among the fibromyalgia patients compared to healthy controls. Our results suggest that previously observed aberrant intrinsic brain connectivity patterns in FM are partly normalized by the physical exercise therapy. However, none of the observed normalizations in intrinsic brain connectivity were significantly correlated with symptom changes. Further studies conducted in larger cohorts are warranted to investigate the precise relationship between improvements in fibromyalgia symptoms and changes in intrinsic brain activity.

Keywords: FIQ, Fibromyalgia Impact Questionnaire; FM, fibromyalgia; Fibromyalgia; Functional connectivity; PAG, periaqueductal grey; Physical exercise; Resting state fMRI; SF36BP, bodily pain subscale of the Short Form Health Survey.

Figures

Supplementary Fig. S1
Supplementary Fig. S1
Whole brain connectivity maps of the five investigated seed regions at baseline. Maps are thresholded at cluster level significance of p 

Fig. 1

Average FIQ and SF36BP ratings…

Fig. 1

Average FIQ and SF36BP ratings in 14 FM patients before (solid bars) and…

Fig. 1
Average FIQ and SF36BP ratings in 14 FM patients before (solid bars) and following (striped bars) the exercise intervention. The reduction in FIQ ratings indicates reduced FM symptoms. No change was observed in pain ratings (SF36BP). The asterisk sign (*) signifies a significant difference at p 

Fig. 2

Physical exercise induced normalization of…

Fig. 2

Physical exercise induced normalization of resting state connectivity between the right insula and…

Fig. 2
Physical exercise induced normalization of resting state connectivity between the right insula and the left sensorimotor region in the FM cohort. (A) Intrinsic connectivity between a spherical seed region (radius = 4 mm) located in the right anterior insula and a cluster extending 1490 voxels in the left sensorimotor cortex. (B) Post- versus pre-treatment insular-sensorimotor connectivity (arbitrary units) for fibromyalgia (blue) and controls (red). Error bars denote standard deviations.
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    1. Becerra L., Sava S., Simons L.E., Drosos A.M., Sethna N., Berde C., Lebel A.A., Borsook D. Intrinsic brain networks normalize with treatment in pediatric complex regional pain syndrome. Neuroimage Clin. 2014;6:347–369. 25379449 - PMC - PubMed
    1. Behzadi Y., Restom K., Liau J., Liu T.T. A component based noise correction method (CompCor) for BOLD and perfusion based fMRI. Neuroimage. 2007;37(1):90–101. 17560126 - PMC - PubMed
    1. Bennett R. The Fibromyalgia Impact Questionnaire (FIQ): a review of its development, current version, operating characteristics and uses. Clin. Exp. Rheumatol. 2005;23(5 Suppl 39):S154–S162. 16273800 - PubMed
    1. Brehmer Y., Kalpouzos G., Wenger E., Lövdén M. Plasticity of brain and cognition in older adults. Psychol. Res. 2014;78(6):790–802. 25261907 - PubMed
    1. Chai X.J., Castañón A.N., Ongür D., Whitfield-Gabrieli S. Anticorrelations in resting state networks without global signal regression. Neuroimage. 2012;59(2):1420–1428. 21889994 - PMC - PubMed
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Fig. 1
Fig. 1
Average FIQ and SF36BP ratings in 14 FM patients before (solid bars) and following (striped bars) the exercise intervention. The reduction in FIQ ratings indicates reduced FM symptoms. No change was observed in pain ratings (SF36BP). The asterisk sign (*) signifies a significant difference at p 

Fig. 2

Physical exercise induced normalization of…

Fig. 2

Physical exercise induced normalization of resting state connectivity between the right insula and…

Fig. 2
Physical exercise induced normalization of resting state connectivity between the right insula and the left sensorimotor region in the FM cohort. (A) Intrinsic connectivity between a spherical seed region (radius = 4 mm) located in the right anterior insula and a cluster extending 1490 voxels in the left sensorimotor cortex. (B) Post- versus pre-treatment insular-sensorimotor connectivity (arbitrary units) for fibromyalgia (blue) and controls (red). Error bars denote standard deviations.
Fig. 2
Fig. 2
Physical exercise induced normalization of resting state connectivity between the right insula and the left sensorimotor region in the FM cohort. (A) Intrinsic connectivity between a spherical seed region (radius = 4 mm) located in the right anterior insula and a cluster extending 1490 voxels in the left sensorimotor cortex. (B) Post- versus pre-treatment insular-sensorimotor connectivity (arbitrary units) for fibromyalgia (blue) and controls (red). Error bars denote standard deviations.

References

    1. Becerra L., Sava S., Simons L.E., Drosos A.M., Sethna N., Berde C., Lebel A.A., Borsook D. Intrinsic brain networks normalize with treatment in pediatric complex regional pain syndrome. Neuroimage Clin. 2014;6:347–369.
    1. Behzadi Y., Restom K., Liau J., Liu T.T. A component based noise correction method (CompCor) for BOLD and perfusion based fMRI. Neuroimage. 2007;37(1):90–101.
    1. Bennett R. The Fibromyalgia Impact Questionnaire (FIQ): a review of its development, current version, operating characteristics and uses. Clin. Exp. Rheumatol. 2005;23(5 Suppl 39):S154–S162.
    1. Brehmer Y., Kalpouzos G., Wenger E., Lövdén M. Plasticity of brain and cognition in older adults. Psychol. Res. 2014;78(6):790–802.
    1. Chai X.J., Castañón A.N., Ongür D., Whitfield-Gabrieli S. Anticorrelations in resting state networks without global signal regression. Neuroimage. 2012;59(2):1420–1428.
    1. Clauw D.J. Fibromyalgia: a clinical review. JAMA. 2014;311(15):1547–1555.
    1. Contopoulos-Ioannidis D.G., Karvouni A., Kouri I., Ioannidis J.P.A. Reporting and interpretation of SF-36 outcomes in randomised trials: systematic review. BMJ. 2009;338:a3006.
    1. Critchley H.D., Wiens S., Rotshtein P., Ohman A., Dolan R.J. Neural systems supporting interoceptive awareness. Nat. Neurosci. 2004;7(2):189–195.
    1. Duerden E.G., Albanese M.-C. Localization of pain-related brain activation: a meta-analysis of neuroimaging data. Hum. Brain Mapp. 2013;34(1):109–149.
    1. Flodin P., Martinsen S., Löfgren M., Bileviciute-Ljungar I., Kosek E., Fransson P. Fibromyalgia is associated with decreased connectivity between pain- and sensorimotor brain areas. Brain Connect. 2014;4(8):587–594.
    1. Floyer-Lea A., Matthews P.M. Distinguishable brain activation networks for short- and long-term motor skill learning. J. Neurophysiol. 2005;94(1):512–518.
    1. Fox M.D., Snyder A.Z., Vincent J.L., Corbetta M., Van Essen D.C., Raichle M.E. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc. Natl. Acad. Sci. U. S. A. 2005;102(27):9673–9678.
    1. Fransson P. Spontaneous low-frequency BOLD signal fluctuations: an fMRI investigation of the resting-state default mode of brain function hypothesis. Hum. Brain Mapp. 2005;26(1):15–29.
    1. Hlustík P., Solodkin A., Noll D.C., Small S.L. Cortical plasticity during three-week motor skill learning. J. Clin. Neurophysiol. 2004;21(3):180–191.
    1. Ichesco E., Schmidt-Wilcke T., Bhavsar R., Clauw D.J., Peltier S.J., Kim J., Napadow V., Hampson J.P., Kairys A.E., Williams D.A. Altered resting state connectivity of the insular cortex in individuals with fibromyalgia. J. Pain. 2014;15(8):815–826.e1.
    1. Jensen K.B., Srinivasan P., Spaeth R., Tan Y., Kosek E., Petzke F., Carville S., Fransson P., Marcus H., Williams S.C.R. Overlapping structural and functional brain changes in patients with long-term exposure to fibromyalgia pain. Arthritis Rheum. 2013;65(12):3293–3303.
    1. Keller C.J., Bickel S., Honey C.J., Groppe D.M., Entz L., Craddock R.C., Lado F.A., Kelly C., Milham M., Mehta A.D. Neurophysiological investigation of spontaneous correlated and anticorrelated fluctuations of the BOLD signal. J. Neurosci. 2013;33(15):6333–6342.
    1. Krafft C.E., Pierce J.E., Schwarz N.F., Chi L., Weinberger A.L., Schaeffer D.J., Rodrigue A.L., Camchong J., Allison J.D., Yanasak N.E. An eight month randomized controlled exercise intervention alters resting state synchrony in overweight children. Neuroscience. 2014;256:445–455.
    1. Murphy K., Birn R.M., Handwerker D.A., Jones T.B., Bandettini P.A. The impact of global signal regression on resting state correlations: are anti-correlated networks introduced? Neuroimage. 2009;44(3):893–905.
    1. Napadow V., Kim J., Clauw D.J., Harris R.E. Decreased intrinsic brain connectivity is associated with reduced clinical pain in fibromyalgia. Arthritis Rheum. 2012;64(7):2398–2403.
    1. Napadow V., LaCount L., Park K., As-Sanie S., Clauw D.J., Harris R.E. Intrinsic brain connectivity in fibromyalgia is associated with chronic pain intensity. Arthritis Rheum. 2010;62(8):2545–2555.
    1. Pujol J., Macià D., Garcia-Fontanals A., Blanco-Hinojo L., López-Solà M., Garcia-Blanco S., Poca-Dias V., Harrison B.J., Contreras-Rodríguez O., Monfort J. The contribution of sensory system functional connectivity reduction to clinical pain in fibromyalgia. Pain. 2014;155(8):1492–1503.
    1. Rajab A.S., Crane D.E., Middleton L.E., Robertson A.D., Hampson M., MacIntosh B.J. A single session of exercise increases connectivity in sensorimotor-related brain networks: a resting-state fMRI study in young healthy adults. Front. Hum. Neurosci. 2014;8:625.
    1. Schmidt-Wilcke T., Ichesco E., Hampson J.P., Kairys A., Peltier S., Harte S., Clauw D.J., Harris R.E. Resting state connectivity correlates with drug and placebo response in fibromyalgia patients. Neuroimage Clin. 2014;6:252–261.
    1. Stigler S.M. Regression toward the mean, historically considered. Stat. Methods Med. Res. 1997;6(2):103–114.
    1. Whitfield-Gabrieli S., Nieto-Castanon A. Conn: a functional connectivity toolbox for correlated and anticorrelated brain networks. Brain Connect. 2012;2(3):125–141.
    1. Xiong J., Ma L., Wang B., Narayana S., Duff E.P., Egan G.F., Fox P.T. Long-term motor training induced changes in regional cerebral blood flow in both task and resting states. Neuroimage. 2009;45(1):75–82.
    1. Yarkoni T., Poldrack R.A., Nichols T.E., Van Essen D.C., Wager T.D. Large-scale automated synthesis of human functional neuroimaging data. Nat. Methods. 2011;8(8):665–670.

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