The Homeostatic Interaction Between Anodal Transcranial Direct Current Stimulation and Motor Learning in Humans is Related to GABAA Activity

Ugwechi Amadi, Claire Allman, Heidi Johansen-Berg, Charlotte J Stagg, Ugwechi Amadi, Claire Allman, Heidi Johansen-Berg, Charlotte J Stagg

Abstract

Background: The relative timing of plasticity-induction protocols is known to be crucial. For example, anodal transcranial direct current stimulation (tDCS), which increases cortical excitability and typically enhances plasticity, can impair performance if it is applied before a motor learning task. Such timing-dependent effects have been ascribed to homeostatic plasticity, but the specific synaptic site of this interaction remains unknown.

Objective: We wished to investigate the synaptic substrate, and in particular the role of inhibitory signaling, underpinning the behavioral effects of anodal tDCS in homeostatic interactions between anodal tDCS and motor learning.

Methods: We used transcranial magnetic stimulation (TMS) to investigate cortical excitability and inhibitory signaling following tDCS and motor learning. Each subject participated in four experimental sessions and data were analyzed using repeated measures ANOVAs and post-hoc t-tests as appropriate.

Results: As predicted, we found that anodal tDCS prior to the motor task decreased learning rates. This worsening of learning after tDCS was accompanied by a correlated increase in GABAA activity, as measured by TMS-assessed short interval intra-cortical inhibition (SICI).

Conclusion: This provides the first direct demonstration in humans that inhibitory synapses are the likely site for the interaction between anodal tDCS and motor learning, and further, that homeostatic plasticity at GABAA synapses has behavioral relevance in humans.

Keywords: GABA; Homeostatic plasticity; Motor learning; Non-invasive brain stimulation (NIBS).

Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.

Figures

Supplementary Figure 1
Supplementary Figure 1
Figure 1
Figure 1
Schematic of experimental design. All subjects participated in all four experimental sessions, the order of which was counterbalanced across the group and all sessions were separated by at least 1 week. TMS blocks, consisting of 30 single pulses at MT1mV, 15 paired pulses with a 1 ms ISI and 15 paired pulses with a 2.5 ms ISI were acquired at the beginning, mid-point and end of each session. In the 20 min between TMS blocks, subjects had either anodal tDCS (A), sham tDCS (S) or no stimulation, while performing the motor learning task (T) or sitting quietly with their right hands relaxed.
Figure 2
Figure 2
Motor learning task. Reaction times during the learning blocks of the motor task. Offline tDCS (A-T) led to decreased learning compared to online tDCS (AT-0) and control (S-ST). The two blocks containing random sequences (before Block 1 and after Block 13) have been excluded. Error bars ±1 SEM.
Figure 3
Figure 3
Effects of tDCS and Motor Learning on cortical excitability A. Anodal tDCS increases cortical excitability. Change in cortical excitability, expressed as a ratio of post-stimulation to pre-stimulation MEP size, where higher numbers reflect greater excitability. Anodal tDCS at rest (A-0) increases MEP size, an effect that is not seen if stimulation is applied concurrently with task performance (AT-0). * P < 0.05 B. Task performance decreases cortical excitability. Change in excitability, expressed as a ratio of post- to pre- task performance MEP size, where higher numbers reflect greater excitability. Performance of the task alone (S-ST) decreases MEP size, an effect that is not present if anodal tDCS is applied prior to (A-T) or concurrent with (AT-0) task performance. Error bars ±1 SEM, *P < 0.05.
Figure 4
Figure 4
Task performance increases GABAA-synaptic inhibition. Changes in inhibition expressed as a ratio of post- to pre- task performance 2.5ms SICI. Anodal tDCS applied prior to task performance (A-T), increases task-related GABAA activity as measured by 2.5ms SICI. Note that lower values reflect greater inhibition. Error bars ±1 SEM, * P < 0.05.
Figure 5
Figure 5
Worsening of learning after anodal tDCS is inversely related to increase in GABAA activity in the same period. The decrease in learning of the motor task when task performance was preceded by anodal tDCS (A-T) is correlated with the increase in 2.5 ms SICI seen over the same period (r = −0.69, P = 0.009), such that subjects who showed a less detrimental behavioral effect of prior anodal tDCS (i.e. those who were presumably able to induce more LTP-like plasticity during the task) were those in whom the increase in GABAA activity was greatest over the same time period.

References

    1. Nitsche M., Paulus W. Excitability changes induced in the human motor cortex by weak transcranial direct current stimulation. J Physiol. 2000;527:633–639.
    1. Hummel F.C., Voller B., Celnik P. Effects of brain polarization on reaction times and pinch force in chronic stroke. BMC Neurosci. 2006;7:73.
    1. Hummel F., Celnik P., Giraux P. Effects of non-invasive cortical stimulation on skilled motor function in chronic stroke. Brain. 2005;128:490–499.
    1. Hummel F.C., Cohen L.G. Non-invasive brain stimulation: a new strategy to improve neurorehabilitation after stroke? Lancet Neurol. 2006;5:708–712.
    1. Stagg C.J., Bachtiar V., O'Shea J. Cortical activation changes underlying stimulation-induced behavioural gains in chronic stroke. Brain. 2012;135:276–284.
    1. Stagg C.J., Jayaram G., Pastor D., Kincses Z.T., Matthews P.M., Johansen-Berg H. Polarity and timing-dependent effects of transcranial direct current stimulation in explicit motor learning. Neuropsychologia. 2011;49:800–804.
    1. Nitsche M., Schauenburg A., Lang N. Facilitation of implicit motor learning by weak transcranial direct current stimulation of the primary motor cortex in the human. J Cogn Neurosci. 2003;15:619–626.
    1. Reis J., Schambra H., Cohen L.G. Noninvasive cortical stimulation enhances motor skill acquisition over multiple days through an effect on consolidation. Proc Natl Acad Sci U S A. 2009;106:1590–1595.
    1. Kuo M.-F., Unger M., Liebetanz D. Limited impact of homeostatic plasticity on motor learning in humans. Neuropsychologia. 2008;46:2122–2128.
    1. Kuo M.-F., Paulus W., Nitsche M.A. Boosting focally-induced brain plasticity by dopamine. Cereb Cortex. 2008;18:648–651.
    1. Muellbacher W., Ziemann U., Wissel J. Early consolidation in human primary motor cortex. Nature. 2002;415:640–644.
    1. Stefan K., Wycislo M., Gentner R. Temporary occlusion of associative motor cortical plasticity by prior dynamic motor training. Cereb Cortex. 2006;16:376–385.
    1. Ziemann U., Iliac V., Pauli C., Meintzschel F., Ruge D. Learning modifies subsequent induction of long-term potentiation-like and long-term depression-like plasticity in human motor cortex. J Neurosci. 2004;24:1666–1672.
    1. Abraham W.C. Metaplasticity: tuning synapses and networks for plasticity. Nat Rev Neurosci. 2008;9:387.
    1. Bienenstock E., Cooper L., Munro P. Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex. J Neurosci. 1982;2:32–48.
    1. Lang N., Nitsche M.A., Paulus W., Rothwell J.C., Lemon R.N. Effects of transcranial direct current stimulation over the human motor cortex on corticospinal and transcallosal excitability. Exp Brain Res. 2004;156:439–443.
    1. Siebner H.R., Lang N., Rizzo V. Preconditioning of low-frequency repetitive transcranial magnetic stimulation with transcranial direct current stimulation: evidence for homeostatic plasticity in the human motor cortex. J Neurosci. 2004;24:3379–3385.
    1. Murakami T., Müller-Dahlhaus F., Lu M.-K., Ziemann U. Homeostatic metaplasticity of corticospinal excitatory and intracortical inhibitory neural circuits in human motor cortex. J Physiol (Lond) 2012;590:5765–5781.
    1. Jung P., Ziemann U. Homeostatic and nonhomeostatic modulation of learning in human motor cortex. J Neurosci. 2009;29:5597–5604.
    1. Huang Y., Colino A., Selig D., Malenka R. The influence of prior synaptic activity on the induction of long-term potentiation. Science. 1992;255:730–733.
    1. Stagg C.J., Best J.G., Stephenson M.C. Polarity-sensitive modulation of cortical neurotransmitters by transcranial stimulation. J Neurosci. 2009;29:5202–5206.
    1. Nitsche M.A., Seeber A., Frommann K., Klein C.C., Rochford C., Nitsche M.S. Modulating parameters of excitability during and after transcranial direct current stimulation of the human motor cortex. J Physiol (Lond) 2005;568:291–303.
    1. Floyer-Lea A., Wylezinska M., Kincses T., Matthews P.M. Rapid modulation of GABA concentration in human sensorimotor cortex during motor learning. J Neurophysiol. 2006;95:1639–1644.
    1. Rosenkranz K., Kacar A., Rothwell J. Differential modulation of motor cortical plasticity and excitability in early and late phases of human motor learning. J Neurosci. 2007;27:12058–12066.
    1. Stagg C.J., Bestmann S., Constantinescu A.O. Relationship between physiological measures of excitability and levels of glutamate and GABA in the human motor cortex. J Physiol (Lond) 2011;589:5845–5855.
    1. Kujirai T., Caramia M.D., Rothwell J.C. Corticocortical inhibition in human motor cortex. J Physiol (Lond) 1993;471:501–519.
    1. Peurala S.H., Müller-Dahlhaus J.F.M., Arai N., Ziemann U. Interference of short-interval intracortical inhibition (SICI) and short-interval intracortical facilitation (SICF) Clin Neurophysiol. 2008;119:2291–2297.
    1. Stagg C.J., Bachtiar V., Johansen-Berg H. The role of GABA in human motor learning. Curr Biol. 2011;21:480–484.
    1. Nitsche M.A., Paulus W. Sustained excitability elevations induced by transcranial DC motor cortex stimulation in humans. Neurology. 2001;57:1899–1901.
    1. Fisher R.J., Nakamura Y., Bestmann S., Rothwell J.C., Bostock H. Two phases of intracortical inhibition revealed by transcranial magnetic threshold tracking. Exp Brain Res. 2002;143:240–248.
    1. Roshan L., Paradiso G.O., Chen R. Two phases of short-interval intracortical inhibition. Exp Brain Res. 2003;151:330–337.
    1. Huntley G. Correlation between patterns of horizontal connectivity and the extend of short-term representational plasticity in rat motor cortex. Cereb Cortex. 1997;7:143–156.
    1. Ziemann U., Muellbacher W., Hallett M., Cohen L.G. Modulation of practice-dependent plasticity in human motor cortex. Brain. 2001;124:1171–1181.
    1. Jacobs K., Donoghue J. Reshaping the cortical motor map by unmasking latent intracortical connections. Science. 1991;251:944–947.
    1. Castro-Alamancos M.A., Donoghue J.P., Connors B.W. Different forms of synaptic plasticity in somatosensory and motor areas of the neocortex. J Neurosci. 1995;15:5324–5333.
    1. Castro-Alamancos M.A., Connors B.W. Short-term synaptic enhancement and long-term potentiation in neocortex. Proc Natl Acad Sci U S A. 1996;93:1335–1339.
    1. Bütefisch C.M., Davis B.C., Wise S.P. Mechanisms of use-dependent plasticity in the human motor cortex. Proc Natl Acad Sci U S A. 2000;97:3661–3665.
    1. Pleger B., Schwenkreis P., Dinse H.R. Pharmacological suppression of plastic changes in human primary somatosensory cortex after motor learning. Exp Brain Res. 2003;148:525–532.
    1. Bachtiar V., Stagg C.J. The role ofinhibition in human motor cortical plasticity. Neuroscience. 2014;278:93–104.
    1. Bindman L., Lippold O.C., Redfearn J.W. The action of brief polarizing currents on the cerebral cortex of the rat (1) during current flow and (2) in the production of long-lasting after-effects. J Physiol (Lond) 1964;172:369–382.
    1. Stagg C.J., Nitsche M.A. Physiological basis of transcranial direct current stimulation. Neuroscientist. 2011;17:37–53.
    1. Ziemann U., Bruns D., Paulus W. Enhancement of human motor cortex inhibition by the dopamine receptor agonist pergolide: evidence from transcranial magnetic stimulation. Neurosci Lett. 1996;208:187–190.
    1. Ilić T.V., Meintzschel F., Cleff U., Ruge D., Kessler K.R., Ziemann U. Short-interval paired-pulse inhibition and facilitation of human motor cortex: the dimension of stimulus intensity. J Physiol (Lond) 2002;545:153–167.
    1. Ni Z., Gunraj C., Chen R. Short interval intracortical inhibition and facilitation during the silent period in human. J Physiol (Lond) 2007;583:971–982.
    1. Abraham W.C., Bear M.F. Metaplasticity: the plasticity of synaptic plasticity. Trends Neurosci. 1996;19:126–130.
    1. Lee M.-C., Lee M.-C., Yasuda R., Yasuda R., Ehlers M.D., Ehlers M.D. Metaplasticity at single glutamatergic synapses. Neuron. 2010;66:859–870.
    1. Pozo K., Goda Y. Unraveling mechanisms of homeostatic synaptic plasticity. Neuron. 2010;66:337–351.
    1. Abraham W.C., Tate W.P. Metaplasticity: a new vista across the field of synaptic plasticity. Prog Neurobiol. 1997;52:303–323.
    1. Chevaleyre V., Castillo P.E. Endocannabinoid-mediated metaplasticity in the hippocampus. Neuron. 2004;43:871–881.
    1. Miletic G., Miletic G., Miletic V., Miletic V. Contribution of GABA-A receptors to metaplasticity in the spinal dorsal horn. Pain. 2001;90:157–162.
    1. Bukalo O., Schachner M., Dityatev A. Hippocampal metaplasticity induced by deficiency in the extracellular matrix glycoprotein tenascin-R. J Neurosci. 2007;27:6019–6028.
    1. Karmarkar U.R., Buonomano D.V. Different forms of homeostatic plasticity are engaged with distinct temporal profiles. Eur J Neurosci. 2006;23:1575–1584.
    1. Bartley A.F., Huang Z.J., Huber K.M., Gibson J.R. Differential activity-dependent, homeostatic plasticity of two neocortical inhibitory circuits. J Neurophysiol. 2008;100:1983–1994.

Source: PubMed

3
Abonner