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Combined and Singular Effects of Action Observation and Motor Imagery Paradigms on Resting-State Sensorimotor Rhythms

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XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019 (MEDICON 2019)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 76))

Abstract

In the present study, 30 right-handed participants randomly performed one of three motor neurorehabilitation paradigms: action observation (AO), motor imagery (MI) and combined action observation and motor imagery (AO+MI) of the right arm and hand movement. Resting state electroencephalography (EEG) was acquired for 5 min before and immediately after the motor paradigms session. EEG was recorded from 10 sites over sensorimotor areas, and the average power was calculated for left (FC3, C3, C1, C5, CP3) and right (FC4, C4, C2, C6, CP4) regions in the spectral bands: delta, theta, alpha, mu, low and high beta. Our main finding demonstrates that delta, theta and mu activity decreased significantly on the contralateral regions during MI, while low beta increased significantly. Except for the mu band, the same changes were observed on the ipsilateral side, where delta and theta decreased significantly, while low beta became significantly higher. No relevant effects were observed for AO or combined AO and MI. These findings demonstrate a rapid effect of MI on cortical modulation in sensorimotor areas which is revealed by changes in resting state oscillatory activity and suggest an interesting interplay between MI and AO. The presented findings may be relevant for choosing a proper protocol for clinical motor neurorehabilitation approaches.

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References

  1. Di Pellegrino, G., Fadiga, L., Fogassi, L., Gallese, V., Rizzolatti, G.: Understanding motor events: a neurophysiological study. Exp. Brain Res. 91, 176–180 (1992)

    Article  Google Scholar 

  2. Gallese, V., Fadiga, L., Fogassi, L., Rizzolatti, G.: Action recognition in the premotor cortex. Brain 119(Pt 2), 593–609 (1996)

    Article  Google Scholar 

  3. Rizzolatti, G., Craighero, L.: The mirror-neuron system. Annu. Rev. Neurosci. 27, 169–192 (2004)

    Article  Google Scholar 

  4. Lotze, M., Montoya, P., Erb, M., Hülsmann, E., Flor, H., Klose, U., Birbaumer, N., Grodd, W.: Activation of cortical and cerebellar motor areas during executed and imagined hand movements: an fMRI study. J. Cogn. Neurosci. 11, 491–501 (1999)

    Article  Google Scholar 

  5. Pomeroy, V., Aglioti, S.M., Mark, V.W., McFarland, D., Stinear, C., Wolf, S.L., Corbetta, M., Fitzpatrick, S.M.: Neurological principles and rehabilitation of action disorders. Neurorehabil. Neural Repair. 25, 33S–43S (2011)

    Article  Google Scholar 

  6. Ertelt, D., Small, S., Solodkin, A., Dettmers, C., McNamara, A., Binkofski, F., Buccino, G.: Action observation has a positive impact on rehabilitation of motor deficits after stroke. Neuroimage 36, T164–T173 (2007)

    Article  Google Scholar 

  7. Buccino, G.: Action observation treatment: a novel tool in neurorehabilitation. Philos. Trans. R. Soc. B Biol. Sci. 369, 20130185 (2014)

    Article  Google Scholar 

  8. Ste-Marie, D.M., Law, B., Rymal, A.M., Jenny, O., Hall, C., McCullagh, P.: Observation interventions for motor skill learning and performance: an applied model for the use of observation. Int. Rev. Sport Exerc. Psychol. 5, 145–176 (2012)

    Article  Google Scholar 

  9. Jeannerod, M.: Neural simulation of action: a unifying mechanism for motor cognition. Neuroimage 14, S103–S109 (2001)

    Article  Google Scholar 

  10. Sharma, N., Baron, J.-C.: Does motor imagery share neural networks with executed movement: a multivariate fMRI analysis. Front. Hum. Neurosci. 7, 564–570 (2013)

    Google Scholar 

  11. Enoka, R.M.: Neuromechanical Basis of Kinesiology, 2nd edn. Human Kinetics, Champaign (1994)

    Google Scholar 

  12. Decety, J.: Neural mechanisms subserving the perception of human actions. Trends Cogn. Sci. 3, 172–178 (1999)

    Article  Google Scholar 

  13. Jeannerod, M.: The 25th Bartlett Lecture: to act or not to act: perspectives on the representation of actions. Q. J. Exp. Psychol. Sect. A 52, 1–29 (1999)

    Article  Google Scholar 

  14. Porro, C.A., Cettolo, V., Francescato, M.P., Baraldi, P.: Ipsilateral involvement of primary motor cortex during motor imagery. Eur. J. Neurosci. 12, 3059–3063 (2000)

    Article  Google Scholar 

  15. Schuster, C., Hilfiker, R., Amft, O., Scheidhauer, A., Andrews, B., Butler, J., Kischka, U., Ettlin, T.: Best practice for motor imagery: a systematic literature review on motor imagery training elements in five different disciplines. BMC Med. 9, 75 (2011)

    Article  Google Scholar 

  16. Sharma, N., Pomeroy, V.M., Baron, J.-C.: Motor imagery: a backdoor to the motor system after stroke? Stroke 37, 1941–1952 (2006)

    Article  Google Scholar 

  17. Holmes, P., Calmels, C.: A neuroscientific review of imagery and observation use in sport. J. Mot. Behav. 40, 433–445 (2008)

    Article  Google Scholar 

  18. Lotze, M., Halsband, U.: Motor imagery. J. Physiol. 99, 386–395 (2006)

    Google Scholar 

  19. Jackson, P.L., Lafleur, M.F., Malouin, F., Richards, C., Doyon, J.: Potential role of mental practice using motor imagery in neurologic rehabilitation. Arch. Phys. Med. Rehabil. 82, 1133–1141 (2001)

    Article  Google Scholar 

  20. Macuga, K.L., Frey, S.H.: Neural representations involved in observed, imagined, and imitated actions are dissociable and hierarchically organized. Neuroimage 59, 2798–2807 (2012)

    Article  Google Scholar 

  21. Vogt, S., DiRienzo, F., Collet, C., Collins, A., Guillot, A.: Multiple roles of motor imagery during action observation. Front. Hum. Neurosci. 7, 807 (2013)

    Article  Google Scholar 

  22. Eaves, D.L., Riach, M., Holmes, P.S., Wright, D.J.: Motor imagery during action observation: a brief review of evidence, theory and future research opportunities. Front. Neurosci. 10, 514 (2016)

    Article  Google Scholar 

  23. Oldfield, R.C.: The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia 9(1), 97–113 (1971)

    Article  Google Scholar 

  24. Hall, C.R., Kathleen, A.M.: Measuring movement imagery abilities: a revision of the movement imagery questionnaire. J. Ment. Imag. 21, 143–154 (2012)

    Google Scholar 

  25. Williams, S.E., Cumming, J., Ntoumanis, N., Nordin-Bates, S.M., Ramsey, R., Hall, C.: Further validation and development of the movement imagery questionnaire. J. Sport Exerc. Psychol. 34, 621–646 (2012)

    Article  Google Scholar 

  26. Welch, P.: The use of fast Fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms. IEEE Trans. Audio Electroacoust. 15(2), 70–73 (1967)

    Article  Google Scholar 

  27. Pfurtscheller, G., Brunner, C., Schlogl, A., Lopes da Silva, F.H.: Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks. NeuroImage 31, 153–159 (2006)

    Article  Google Scholar 

  28. Pfurtscheller, G., Aranibar, A.: Event-related cortical desynchronization detected by power measurements of scalp EEG. Electroencephalogr. Clin. Neurophysiol. 42, 817–826 (1977)

    Article  Google Scholar 

  29. Van Elswijk, G., Maij, F., Schoffelen, J.-M., Overeem, S., Stegeman, D.F., Fries, P.: Corticospinal beta-band synchronization entails rhythmic gain modulation. J. Neurosci. 30, 4481–4488 (2010)

    Article  Google Scholar 

  30. Sirigu, A., Duhamel, J.R., Cohen, L., Pillon, B., Dubois, B., Agid, Y.: The mental representation of hand movements after parietal cortex damage. Science 273, 1564–1568 (1996)

    Article  Google Scholar 

  31. Papaxanthis, C., Schieppati, M., Gentili, R., Pozzo, T.: Imagined and actual arm movements have similar durations when performed under different conditions of direction and mass. Exp. Brain Res. 143, 447–452 (2002)

    Article  Google Scholar 

  32. Hardwick, R.M., Caspers, S., Eickhoff, S.B., Swinnen, S.P.: Neural correlates of motor imagery, action observation, and movement execution: a comparison across quantitative meta-analyses. Neurosci. Biobehav. Rev. 94, 31–44 (2018)

    Article  Google Scholar 

  33. Tian, X., Poeppel, D.: Mental imagery of speech and movement implicates the dynamics of internal forward models. Front. Psychol. 1, 166 (2010)

    Google Scholar 

  34. McCartney, H., Johnson, A.D., Weil, Z.M., Givens, B.: Theta reset produces optimal conditions for long-term potentiation. Hippocampus 14, 684–687 (2004)

    Article  Google Scholar 

  35. Jensen, O., Tesche, C.D.: Frontal theta activity in humans increases with memory load in a working memory task. Eur. J. Neurosci. 15, 1395–1399 (2002)

    Article  Google Scholar 

  36. Cruikshank, L.C., Singhal, A., Hueppelsheuser, M., Caplan, J.B.: Theta oscillations reflect a putative neural mechanism for human sensorimotor integration. J. Neurophysiol. 107, 65–77 (2012)

    Article  Google Scholar 

  37. Kahana, M.J., Seelig, D., Madsen, J.R.: Theta returns. Curr. Opin. Neurobiol. 11, 739–744 (2001)

    Article  Google Scholar 

  38. Scheeringa, R., Bastiaansen, M.C., Petersson, K.M., Oostenveld, R., Norris, D.G., Hagoort, P.: Frontal theta EEG activity correlates negatively with the default mode network in resting state. Int. J. Psychophysiol. 67(3), 242–251 (2008)

    Article  Google Scholar 

  39. Kilner, J.M., Mattout, J., Henson, R., Friston, K.J.: Hemodynamic correlates of EEG: a heuristic. Neuroimage 28, 280–286 (2005)

    Article  Google Scholar 

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Acknowledgments

A. Miladinović is supported by European Social Fund (ESF) - FVG. M. Ajčević is supported by AIRAlzh Onlus - (ANCC-COOP). Joanna Jarmolowska is supported by the Interreg V-A Italia-Slovenia 2014-2020 program MEMORI-net.

Work partially supported by Master In Clinical Engineering, University of Trieste and Interreg V-A Italia-Slovenia 2014-2020 program MEMORI-net.

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Authors and Affiliations

  1. Department of Engineering and Architecture, University of Trieste, Via A. Valerio 10, 34127, Trieste, Italy

    Aleksandar Miladinović, Miloš Ajčević & Agostino Accardo

  2. Department of Life Sciences, University of Trieste, Via Fleming 22, 34127, Trieste, Italy

    Antonella Barbaro, Eddi Valvason & Piero Paolo Battaglini

  3. Department of Medicine Surgery and Health Sciences, University of Trieste, Trieste, Italy

    Miloš Ajčević & Joanna Jarmolowska

  4. NEUROFARBA Department, Neuroscience Section, University of Florence, Florence, Italy

    Miloš Ajčević

Authors
  1. Aleksandar Miladinović
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  2. Antonella Barbaro
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Correspondence to Aleksandar Miladinović .

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Editors and Affiliations

  1. University of Coimbra, Coimbra, Portugal

    Jorge Henriques

  2. Universidade do Minho, Braga, Portugal

    Nuno Neves

  3. University of Coimbra, Coimbra, Portugal

    Paulo de Carvalho

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Miladinović, A. et al. (2020). Combined and Singular Effects of Action Observation and Motor Imagery Paradigms on Resting-State Sensorimotor Rhythms. In: Henriques, J., Neves, N., de Carvalho, P. (eds) XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019. MEDICON 2019. IFMBE Proceedings, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-030-31635-8_137

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  • DOI: https://doi.org/10.1007/978-3-030-31635-8_137

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  • Online ISBN: 978-3-030-31635-8

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