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Hunter, Timothy; Sacco, Paul; Nitsche, Michael A.; Turner, Duncan L. (2009)
Languages: English
Types: Article
Subjects:
Human subjects can quickly adapt and maintain performance of arm reaching when experiencing novel physical environments such as robot-induced velocity-dependent forcefields.Using anodal transcranial direct current stimulation (tDCS) this study showed that the primary motor cortex may play a role in motor adaptation of this sort. Subjects performed arm reaching movement trials in three phases: in a null force field (baseline), in a velocity-dependent force field (adaptation; 25 N sm−1) and once again in a null force field (de-adaptation). Active or sham tDCS was directed to the motor cortex representation of biceps brachii muscle during the adaptation phase of the motor learning protocol. During the adaptation phase, the global error in arm reaching (summed error from an ideal trajectory) was similar in both tDCS conditions. However, active tDCS induced a significantly greater global reaching (overshoot) error during the early stage of de-adaptation compared to the sham tDCS condition. The overshoot error may be representative of the development of a greater predictivemovement to overcome the expected imposed force. An estimate of the predictive, initial movement trajectory (signed error in the first 150 ms of movement) was significantly augmented during the adaptation phase with active tDCS compared to sham tDCS. Furthermore, this increase was linearly related to the change of the overshoot summed error in the de-adaptation process. Together the results suggest that anodal tDCS augments the development of an internal model of the novel adapted movement and suggests that the primary motor cortex is involved in adaptation of reaching movements of healthy human subjects.
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    • Baraduc P, Lang N, Rothwell JC & Wolpert DM (2004). Consolidation of dynamic motor learning is not disrupted by rTMS of primary motor cortex. Curr Biol 14, 252-256.
    • Caithness, G, Osu, R, Bays P, Chase H, Klassen J, Kawato M, Wolpert DM & Flanagan JR (2004). Failure to consolidate the consolidation theory of learning for sensorimotor adaptation tasks. J Neurosci 24, 8662-8671.
    • Darainy M & Ostry DJ (2008). Muscle co-contraction following dynamics learning. Exp Brain Res 190, 153-163.
    • Davidson PR & Wolpert DM (2004). Scaling down motor memories: de-adaptation after motor learning. Neurosci Lett 370, 102-107.
    • Donchin O, Sawaki L, Madupu G, Cohen LG & Shadmehr R (2002). Mechanisms influencing acquisition and recall of motor memories. J Neurophysiol 88, 2114-2123.
    • Franklin DW, Osu R, Burdet E, Kawato M & Milner TE (2003). Adaptation to stable and unstable dynamics achieved by combined impedance control and inverse dynamics model. J Neurophysiol 90, 3270-3282.
    • Gandolfo F, Li C, Benda BJ, Schioppa CP & Bizzi E (2000). Cortical correlates of learning in monkeys adapting to a new dynamical environment. Proc Natl Acad Sci U S A 97, 2259-2263.
    • Guigon E, Baraduc P & Desmurget M (2008). Computational motor control: feedback and accuracy. Eur J Neurosci 27, 1003-1016.
    • Hadipour-Niktarash A, Lee CK, Desmond JE, & Shadmehr R (2007). Impairment of retention but not acquisition of a visuomotor skill through time-dependent disruption of primary motor cortex. J Neurosci 27, 13413-13419.
    • Harris CM & Wolpert DM (1998). Signal-dependent noise determines motor planning. Nature 394, 780-784 Krebs HI, Brashers-Krug T, Rauch SL, Savage CR, Hogan N, Rubin RH, Fischman AJ & Alpert NM (1998). Robot-aided functional imaging: application to a motor learning study. Hum Brain Mapp 6, 59-72.
    • Kuo MF, Unger M, Liebetanz D, Lang N, Tergau F, Paulus W & Nitsche MA (2008). Limited impact of homeostatic plasticity on motor learning in humans. Neuropsychologia 46, 2122-2128.
    • Lang N, Siebner HR, Ward NS, Lee L, Nitsche MA, Paulus W, Rothwell JC, Lemon RN & Frackowiak RS (2005). How does transcranial DC stimulation of the primary motor cortex alter regional neuronal activity in the human brain? Eur J Neurosci 22, 495-504.
    • Li CS, Padoa-Schioppa C & Bizzi E (2001). Neuronal correlates of motor performance and motor learning in the primary motor cortex of monkeys adapting to an external force field. Neuron 30, 593-607.
    • Milner TE & Franklin DW (2005). Impedance control and internal model use during the initial stage of adaptation to novel dynamics in humans. J Physiol 567, 651-664.
    • Muellbacher W, Ziemann U, Wissel J, Dang N, Kofler M, Facchini S, Boroojerdi B, Poewe W & Hallett M (2002). Early consolidation in human primary motor cortex. Nature 415, 640-646.
    • Nitsche MA, Fricke K, Henschke U, Schlitterlau A, Liebetanz D, Lang N, Henning S, Tergau F & Paulus W (2003a). Pharmacological modulation of cortical excitability shifts induced by transcranial direct current stimulation in humans. J Physiol 533, 293-301.
    • Nitsche MA & Paulus W (2000). Excitability changes induced in the human motor cortex by weak transcranial direct current stimulation. J Physiol 527, 633-639.
    • Nitsche MA & Paulus W (2001). Sustained excitability elevations induced by transcranial DC motor cortex stimulation in humans. Neurology 57, 1899-1901.
    • Nitsche MA, Schauenburg A, Lang N, Liebetanz D, Exner C, Paulus W & Tergau F (2003b). Facilitation of implicit motor learning by weak transcranial direct current stimulation of the primary motor cortex in the human. J Cogn Neurosci 15, 619-626.
    • Osu R, Burdet E, Franklin DW, Milner TE & Mitsuo K (2003). Different mechanisms involved in adaptation to stable and unstable dynamics. J Neurophysiol 90, 3255-3269.
    • Osu R, Franklin DW, Kato H, Gomi H, Domen K, Yoshioka T & Kawato M (2002). Short- and long-term changes in joint co-contraction associated with motor learning as revealed from surface EMG. J Neurophysiol 88, 991-1004.
    • Padoa-Schioppa C, Li CS & Bizzi E (2004). Neuronal activity in the supplementary motor area of monkeys adapting to a new dynamic environment. J Neurophysiol 91, 449-473.
    • Reis J, Shambra HM, Cohen LG, Buch ER, Fritsch B, Zarahn E, Celnick PA & Krakauer JW (2009). Noninvasive cortical stimulation enhances motor skill acquisition over multiple days through an effect on consolidation. Proc Natl Acad Sci U S A 106, 1590-1595.
    • Richardson AG, Overduin SA, Valero-Cabre A, Padoa-Schioppa C, Pascual-Leone A, Bizzi E & Press DZ (2006). Disruption of primary motor cortex before learning impairs memory of movement dynamics. J Neurosci 26, 12466-12470.
    • Richardson AG, Lassi-Tucci G, Padoa-Schioppa C & Bizzi E (2008). Neuronal activity in the cingulate motor areas during adaptation to a new dynamic environment. J Neurophysiol 99, 1253-1266.
    • Rioult-Depotti MS, Friedman D & Donoghue, JP (2000). Learning-induced LTP in neocortex. Science 290, 533-536.
    • Rossini PM, Barker AT, Berardelli A, Caramia MD, Caruso G, Cracco RQ, Dimitrijevic´ MR, Hallett M, Katayama Y & Lu¨cking CH (1994). Non-invasive electrical and magnetic stimulation of the brain, spinal cord and roots: basic principles and procedures for routine clinical application. Report of an IFCN committee. Electroencephalogr Clin Neurophysiol 91, 79-92.
    • Schabowsky CN, Hidler JM & Lum PS (2007). Greater reliance on impedance control in the nondominant arm compared with the dominant arm when adapting to a novel dynamic environment. Exp Brain Res 182, 567-577.
    • Shadmehr R & Holcomb HH (1997). Neural correlates of motor memory consolidation. Science 277, 821-825.
    • Shadmehr R & Mussa-Ivaldi FA (1994). Adaptive representation of dynamics during learning of a motor task. J Neurosci 14, 3208-3224.
    • Takahashi CD, Nemet D, Rose-Gottron CM, Larson JK, Cooper DM & Reinkensmeyer DJ (2003). Neuromotor noise limits motor performance, but not motor adaptation, in children. J Neurophysiol 90, 703-711.
    • Thoroughman KA & Shadmehr R (1999). Electromyographic correlates of learning an internal model of reaching movements. J Neurosci 19, 8573-8588.
    • Turner DL, Hunter T & Sacco P (2008). Intracortical inhibition and excitation preceding robot-mediated arm reaching. Brain Stimulat 1, 248.
    • Wolpert DM, Ghahramani Z & Jordan MI (1995). An internal model for sensorimotor integration. Science 269, 1880-1882.
    • Xiao J, Padoa-Schioppa C & Bizzi E (2006). Neuronal correlates of movement dynamics in the dorsal and ventral premotor area in the monkey. Exp Brain Res 168, 106-119.
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