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Licensed Unlicensed Requires Authentication Published by De Gruyter January 31, 2014

Internal–External Motor Imagery and Skilled Motor Actions

Giuliano Fontani, Silvia Migliorini, Leda Lodi, Enrico De Martino, Nektarios Solidakis and Fausto Corradeschi

Abstract

The purpose of this study was to analyze the movement-related brain macropotentials (MRBMs) recorded during the execution of two tests of motor imagery: kinaesthetic (internal) and visual (external). Recordings were compared with those obtained performing a GO/NOGO motor test. The GO test required pressure of three keys of a modified keyboard in sequence when a figure appeared in the computer screen. On NOGO trials no button had to be pressed. Motor imagery tests were an internal or kinaesthetic imagination test (IN MI) on which participants imagined performing the pressure of keyboard buttons, avoiding any real movement, and an external or visual imagination test (EX MI) on which subjects were asked to imagine seeing their finger press the buttons. With the completion of the Movement Imagery Questionnaire, the participants were assigned into two groups: high (11) and low (10) capacity of imagination. The results showed an increase in the amplitude of the MRBMs wave occurring in the prestimulus period of imagination, with respect to real motor action. In the poststimulus period, the amplitude and duration of the waves recorded during motor action were higher than those recorded during the motor imagery tests. The comparison between EX and IN MI showed a lower latency and a higher amplitude of the brain waves recorded during internal motor imagery with respect to those observed during EX MI. The experimental data confirm that real motor activity is related to higher amplitude MRBMs than motor imagery. The profile of the waves recorded during internal imagery seems to be related to a higher brain involvement compared to those recorded during external visual imagery; it suggest that the kinaesthetic process of imagination is more efficient in information processing and motor skill acquisition.

References

Brouziyne, M., & Molinaro, C. (2005). Mental imagery combined with physical practice of approach shots for golf beginners. Perceptual and Motor Skills, 101, 203211.10.2466/pms.101.1.203-211Search in Google Scholar

Cunnington, R., Iansek, R., Bradshaw, J. L., & Phillips, J. G. (1996). Movement-related potentials associated with movement preparation and motor imagery. Experimental Brain Research, 111, 429436.10.1007/BF00228732Search in Google Scholar

Dai, T. H., Liu, J. Z., Sahgal, V., Brown, R. W., & Yue, G. H. (2001). Relationship between muscle output and functional MRI-measured brain activation. Experimental Brain Research, 140, 290300.10.1007/s002210100815Search in Google Scholar

Decety, J., Jeannerod, M., Durozard, D., & Baverel, G. (1993). Central activation of autonomic effectors during mental simulation of motor actions. Journal of Physiology, 461, 549563.10.1113/jphysiol.1993.sp019528Search in Google Scholar

Decety, J., Philippon, B., & Ingvar, D. H. (1988). rCBF landscapes during motor performance and motor ideation of a graphic gesture. European Archives of Psychiatry and Neurological Sciences, 238, 3338.10.1007/BF00381078Search in Google Scholar

Deecke, L., Scheid, P., & Kornhuber, H. H. (1969). Distribution of readiness potential, pre-motion positivity, and motor potential of the human cerebral cortex preceding voluntary finger movements. Experimental Brain Research, 7, 58168.10.1007/BF00235441Search in Google Scholar

Di Russo, F., Pitzalis, S., Aprile, T., & Spinelli, D. (2005). Effect of practice on brain activity: An investigation in top-level rifle shooters. Medicine and Science in Sport and Exercise, 37, 15861593.10.1249/01.mss.0000177458.71676.0dSearch in Google Scholar

Dickstein, R., & DeutschJ. E. (2007). Motor imagery in physical therapist practice. Physical Therapy, 87, 942953.10.2522/ptj.20060331Search in Google Scholar

Driediger, M., Hall, C., & Callow, N. (2006). Imagery use by injured athletes: A qualitative analysis. Journal of Sport Sciences, 24, 261271.10.1080/02640410500128221Search in Google Scholar

Farahat, E., Ille, A. & Thon, B. (2004). Effect of visual and kinaesthetic imagery on the learning of a patterned movement. International Journal of Sport Psychology, 35, 119132.Search in Google Scholar

Fattapposta, F., Amabile, G., Cordischi, M. V., Di Venezio, D., Foti, A., Pierelli, F., … Morrocutti, C. (1996). Long-term practice effects on a new skilled motor learning: an electrophysiological study. Electroencephalography and Clinical Neurophysiology, 99, 495507.10.1016/S0013-4694(96)96560-8Search in Google Scholar

Feix do Nascimento, O. F., Nielsen, K. D., & Voigt, M. (2005). Relationship between plantar-flexor torque generation and the magnitude of the movement-related potentials. Experimental Brain Research, 160, 154165.10.1007/s00221-004-1996-9Search in Google Scholar

Feltz, D. L., & Landers, D. M. (1983). The effect of mental practice on motor skill learning and performance: a meta-analysis. Journal of Sport Psychology, 5, 2557.10.1123/jsp.5.1.25Search in Google Scholar

Fontani, G., Maffei, D., Cameli, S., & Polidori, F. (1999). Reactivity and event-related potentials during attentional test in athletes. European Journal of Applied Physiology, 80, 308317.10.1007/s004210050597Search in Google Scholar

Fontani, G., Migliorini, S., Benocci, R., Facchini, A., Casini, M., & Corradeschi, F. (2007). Effect of mental imagery on the development of skilled motor actions. Perceptual and Motor Skills, 105, 803826.10.2466/pms.105.3.803-826Search in Google Scholar

Fontani, G., Migliorini, S., Lodi, L., & Corradeschi, F. (2009). Movement related brain macropotentials and skilled motor actions. In L. T. Pelligrino (Ed.), Handbook of motor skills: Development, impairment and therapy (pp. 171185). Hauppauge: Nova Science Publishers.Search in Google Scholar

Fourkas, A. D., Ionta, S., & Aglioti, S. M. (2006). Influence of imagined posture and imagery modality on corticospinal excitability. Behavioral Brain Research, 168(2), 190196.10.1016/j.bbr.2005.10.015Search in Google Scholar

Gabbard, C., Ammar, D., & Cordova, A. (2009). Testing the distinctiveness of visual imagery and motor imagery in a reach paradigm. International Journal of Neuroscience, 119(3), 353365.10.1080/00207450802480275Search in Google Scholar

Gabbard, C. & Cordova, A. (2008). Estimating reach via visual imagery and motor imagery. Journal of Imagery Research in Sport and Physical Activity, 3(1), Article 3.10.2202/1932-0191.1030Search in Google Scholar

Gabbard, C., Cordova, A., & Lee, S. (2009) A question of intention in motor imagery. Conscious Cognitive,18(1), 300305.10.1016/j.concog.2008.07.003Search in Google Scholar

GrèzesJ., & DecetyJ. (2001). Functional anatomy of execution, mental simulation, observation, and verb generation of actions: A meta-analysis. Human Brain Mapping, 12, 119.10.1002/1097-0193(200101)12:1<1::AID-HBM10>3.0.CO;2-VSearch in Google Scholar

Grunewald, G., & Grunewald-Zuberbier, E. (1983). Cerebral potentials during voluntary ramp movements in aiming tasks. In A. W. Gaillard & W. Ritter (Eds.), Tutorial in ERP research: Endogenous components (pp. 311327). Amsterdam: NH.Search in Google Scholar

Guillot, A.,Collet, C., Nguyen, V. A., Malouin, F., Richards, C., & Doyon, J. (2009). Brain activity during visual versus kinesthetic imagery: An fMRI study. Human Brain Mapping, 30(7), 21572172.10.1002/hbm.20658Search in Google Scholar

Hall, C. R., & Martin, K. A. (1997). Measuring movement imagery abilities: A revision of the movement imagery questionnaire. Journal of Mental Imagery, 21, 143154.Search in Google Scholar

Herbert, R. D., Dean, C., & Gandevia, S. C. (1998). Effects of real and imagined training on voluntary muscle activation during maximal isometric contractions. Acta Physiologica Scandinavica, 163, 361368.10.1046/j.1365-201X.1998.t01-1-00358.xSearch in Google Scholar

Heremans, E., Helsen, W. F., De Poel, H. J., Alaerts, K., Meyns, P., & Feys, P. (2009). Facilitation of motor imagery through movement-related cueing. Brain Research, 1278, 5058.10.1016/j.brainres.2009.04.041Search in Google Scholar

Holz, E. M., Doppelmayr, M., Klimesch, W., & Sauseng, P. (2008). EEG correlates of action observation in humans. Brain Topography, 21, 9399.10.1007/s10548-008-0066-1Search in Google Scholar

Jeannerod, M. (1994). The representing brain: Neuronal correlates of motor intention and imagery. Behavioral and Brain Sciences, 17, 187245.10.1017/S0140525X00034026Search in Google Scholar

Jeannerod, M. (2001). Neural simulation of action: A unifying mechanism for motor cognition. NeuroImage, 14, 103109.10.1006/nimg.2001.0832Search in Google Scholar

Karni, A., Meyer, G., Jezzard, P., Adams, M. M., Turner, R., & Ungerleider, L. G. (1995). Functional MRI evidence for adult motor cortex plasticity during motor skill learning. Nature, 377, 155158.10.1038/377155a0Search in Google Scholar

Kornhuber, H. H., & Deecke, L. (1965). Himpotentialanderungen bei Willkürbewegungen und passiven Bewegungen des Menschen: Bereitschaftspotential und Reafferente Potential. Pflügers Archiv, 284, 117.10.1007/BF00412364Search in Google Scholar

Lacourse, M. G., Orr, E. L., Cramer, S. C., & Cohen, M. J. (2005). Brainactivation during execution and motor imagery of novel and skilled sequential hand movements. NeuroImage, 27, 505519.10.1016/j.neuroimage.2005.04.025Search in Google Scholar

Mc Adam, D. W., & Seals, D. M. (1969). Breitschaftspotential enhancement with increased level of motivation. Electroencephalography and Clinical Neurophysiology, 27, 7375.Search in Google Scholar

Neuper, C., Scherer, R., Reiner, M., & Pfurtscheller, G. (2005). Imagery of motor actions: Differential effects of kinesthetic and visual-motor mode of imagery in single-trial EEG. Cognitive Brain Research, 25(3), 668677.10.1016/j.cogbrainres.2005.08.014Search in Google Scholar

Papakostopoulos, D. (1978). A precentral macropotential with short latency as a possible indicator of response and reafferent activity in man. Journal of Physiology, 275, 7273.Search in Google Scholar

Papakostopoulos, D., Stamler, R., & Newton, P. (1986). Movement-related brain macropotentials during self-paced skilled performance with and without knowledge of results. In W. C.McCallum, R.Zappoli, & F.Denoth (Eds.), Cerebral psychophysiology: Studies in event-related potentials (EEG Suppl. 38) (pp. 261262). Amsterdam: Elsevier.Search in Google Scholar

Pascual-Leone, A., Grafman, J., & Hallett, M. (1994). Modulation of cortical motor output maps during development of implicit and explicit knowledge. Science, 263, 12871289.10.1126/science.8122113Search in Google Scholar

Porro, C. A., Francescato, M. P., Cettolo, V., Diamond, M. E., Baraldi, P., Zuiani, C., … Prampero, P. E. (1996). Primary motor and sensory cortex activation during motor performance and motor imagery: A functional magnetic resonance imaging study. The Journal of neuroscience, 16, 76887698.10.1523/JNEUROSCI.16-23-07688.1996Search in Google Scholar

Ranganathan, V., Siemionow, V., Liu, Z., Sahgal, V., & Yue, G. (2004). From mental power to muscle power-gaining strength by using the mind. Neuropsychologia, 42, 944956.10.1016/j.neuropsychologia.2003.11.018Search in Google Scholar

Rizzolatti, G., Fadiga, L., Gallese, V., & Fogassi, L. (1996). Premotor cortex and the recognition of motor actions. Cognitive Brain Research, 3, 131141.10.1016/0926-6410(95)00038-0Search in Google Scholar

Romero, D. H., Lacourse, M. G., Lawrence, K. E., Schandler, S., & Cohen, M. J. (2000). Event-related potentials as a function of movement parameter variations during motor imagery and isometric action. Behavioural Brain Research, 117, 8396.10.1016/S0166-4328(00)00297-7Search in Google Scholar

Roth, M., Decety, J., Raybaudi, M., Massarelli, R., Delon-Martin, C., Segebarth, C., … Jeannerod, M. (1996). Possible involvement of primary motor cortex in mentally simulated movement: A functional magnetic resonance imaging study. NeuroReport, 7, 12801284.10.1097/00001756-199605170-00012Search in Google Scholar

Roure, R., Collet, C., Deschaumes-Molinaro, C., Dittmar, A., Rada, H., DelhommeG., & Vernet-MauryE. (1998). Autonomic nervous system responses correlate with mental rehearsal in volleyball training. Journal of Applied Physiology, 78, 99108.Search in Google Scholar

Siemionow, V., Yue, G. H., Ranganathan, V. K., Liu, J. Z., & Sahgal, V. (2000). Relationship between motor activity-related cortical potential and voluntary muscle activation. Experimental Brain Research, 133, 303311.10.1007/s002210000382Search in Google Scholar

Solodkin, A., Hlustik, P., Chen, E. E., & Small, S. L. (2004). Fine modulation in network activation during motor execution and motor imagery. Cerebral Cortex, 14, 12461255.10.1093/cercor/bhh086Search in Google Scholar

Stephan, K. M., Fink, G. R., Passingham, R. E., & Silbersweig, D. (1995). Functional anatomy of the metal representation of upper extremity movement in healthy subjects. Journal of Neurophysiology, 73, 373386.10.1152/jn.1995.73.1.373Search in Google Scholar

Stinear, C. M., Byblow, W. D., Steyvers, M., Levin, O. & Swinnen, S. P. (2006). Kinesthetic, but not visual, motor imagery modulates corticomotor excitability. Experiment Brain Research, 168(1–2), 157164.10.1007/s00221-005-0078-ySearch in Google Scholar

Van Boxtel, G. J. M., & BruniaC. H. (1994). Motor and non-motor aspects of slow brain potentials. Biological Psychology, 38, 3751.10.1016/0301-0511(94)90048-5Search in Google Scholar

Wang, Y., & Morgan, P. (1992). The effect of imagery perspectives on the psychophysiological responses to imagined exercise. Behavioural Brain Research, 52, 167174.10.1016/S0166-4328(05)80227-XSearch in Google Scholar

Wasserman, L. (2006). All of non parametric statistics. New York: Springer.Search in Google Scholar

Wriessnegger, S. C., Kurzmann, J., & Neuper, C. (2008). Spatio-temporal differences in brain oxygenation between movement execution and imagery: A multichannel near-infrared spectroscopy study. International Journal of Psychophysiology, 67(1), 5463.10.1016/j.ijpsycho.2007.10.004Search in Google Scholar

Yan, J., & Dick, M. (2006). Practice effects on motor control in healthy seniors and patients with mild cognitive impairment and Alzheimer’s disease. Neuropsychology, Development and Cognition Section B: Aging, Neuropsychology, and Cognition, 13, 385410.10.1080/138255890969609Search in Google Scholar

Zimmermann, P., & Fimm, B. (1992). Battery of tests for the study of attention (TAP) (pp. 173). Wűrselen: Psytest.Search in Google Scholar

Published Online: 2014-1-31
Published in Print: 2014-1-1

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