Abstract
Repetition suppression (RS) is the adaptation of the neural activity in response to a repeated external stimulus. It has been proposed that RS occurs at the thalamo-cortical level, hence activating a feedback loop to the cortex in order to counteract with the repeated motor cortical activation. In this study, to elucidate the common modulators between the RS and the inhibitory/facilitatory cortical networks, two TMS paradigms were applied, i.e. the characteristic long-interval intracortical inhibition (LICI) and the I1-wave timed short-interval intracortical facilitation (SICF). Since LICI is a local intracortical inhibitory phenomenon affecting cortical excitation over a long interval like the RS, the interaction between RS and LICI was tested. As the I1-wave timed SICF is likely not affected by inhibitory modulation, the appearance of the RS with respect to SICF was investigated. Non-linear interaction between LICI and RS was observed, while I1-wave timed SICF facilitated all MEP responses of RS by a common offset still preserving the RS. These findings implicate that the underlying mechanism for the observed interaction is likely contributed to the activation of the negative thalamo-cortical feedback loop represented by the RS, most likely at the cortical level.
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Introduction
The primary motor cortex is a highly organized, five-layered convoluted sheet of neural cells, located on the precentral gyrus of the cerebral cortex. In the motor cortex, intermingled with the inhibitory GABAergic interneurons, the excitatory glutamatergic pyramidal neuron is the principal cell type1,2. Pyramidal cells are most abundant in layers III and V. However, their horizontal and vertical extensions into other layers provide the motor cortical networks with a flexible synaptic organization3. This organization provides a cortical platform for neuroplasticity in the primary functions, such as movements. Neuroplasticity is a crucial characteristic in the central nervous system, enabling recruitment of the neuronal connections to adapt, as well as to maladapt, to modified requirements. Neuroplasticity is also mediated by the inhibitory GABAergic interneurons4.
Transcranial magnetic stimulation (TMS) is a non-invasive technique that allows us to study the facilitatory and inhibitory cortical networks by means of time-varying magnetic fields5. TMS-evoked facilitation results in a number of cortico-spinal descending volleys in the pyramidal tracts: direct (D) and indirect (I) waves. D-waves, produced via direct activation of the pyramidal neurons of layer V, are the earliest of these descending volleys. While the origin of later I-waves is contributed to polysynaptic connections between the neurons in layer II/III and those in layer V, I1-wave is proposed to originate from the monosynaptic excitatory cortico-cortical projections on the cortico-spinal fibers6. Supporting the notion that the GABAergic inhibitory system is not involved in the formation of the I1-waves, insensitivity of these waves to GABAA agonists has been demonstrated7. To characterize the I-waves, short-interval intracortical facilitation (SICF) is a well-documented paired-pulse TMS paradigm. There is convergent evidence that the facilitatory interaction of the paired pulses in SICF occurs primarily at the cortical level8. SICF has been conventionally demonstrated using monophasic waveform8. However, it has been recently evoked applying biphasic waveform9,10. Repetition suppression (RS) refers to the adaptation of the neural activity in response to repeated external stimuli11,12. The recovery of the habituated response after the heightened initial response implies that the RS functions to prevent the brain from overreaction to a novel stimulus13. Impairment of the RS has been demonstrated previously in progressive myoclonus epilepsy and schizophrenia14,15. It has been suggested the RS occurs at the thalamo-cortical level, following TMS14,16. This phenomenon has been demonstrated in the motor system as a decrement in the amplitudes of the subsequent motor evoked potentials (MEP) following the initial one16,17. The decline in the MEP amplitudes indicates the adaptive behavior of the motor system. Adaptation has been associated with neuroplastic changes in the nervous system18, and therefore as an objective biomarker to assess the neuroplastic abilities. Several mechanisms have been postulated regarding the neurophysiological basis of the inhibitory phenomenon observed in the RS11. One such underlying mechanism might contribute to the increased activity of GABAergic inhibitory system, a mechanism that is also known to mediate long-interval intracortical inhibition (LICI)19,20. LICI is an intracortical inhibitory phenomenon that is demonstrated as suppression of neural activity, when a suprathreshold stimulus is followed by a second suprathreshold stimulus at an inter-stimulus interval (ISI) of 50–200 ms20. The inhibition time course of LICI and the pharmacological studies reflect the cortical origin and activation of the GABAB inhibitory receptors in this phenomenon21,22. In this study, we applied two stimulation paradigms with the RS: (1) SICF interaction in I1-wave and (2) LICI, to test the effects of immediate cortical facilitation and a cortical long-interval inhibitory modulation on the RS. The appearance of RS in relation to facilitatory I1-wave timed SICF, was applied as it is suggested to be unaffected by inhibitory modulation23,24, while LICI is known to be mediated by GABAB25,26,27. We hypothesized that I1-wave timed SICF would facilitate all MEP responses in the RS without affecting the inhibitory modulation, while the interaction of the LICI and RS was hypothesized to occur through the RS affecting the cortical inhibitory function through the thalamo-cortical feedback.
Results
The typical main effect of RS was observed in RS-baseline paradigm (F(3,56) = 19.24, p = 0.004), where the second, third and fourth MEP amplitudes were significantly lower than the first one (p < 0.001, p = 0.001, p = 0.002 for normalized MEPs, respectively). No difference in MEP amplitude was observed between the second and third, third and fourth, and fourth and second stimuli (p > 0.1). Further, to show the inhibitory effect of LICI and facilitatory effect of SICF at baseline, a Wilcoxon signed-rank test revealed a significant inhibition, on average of 92%, induced by the LICI paradigm (p = 0.012), and a paired samples t-test indicated facilitation effect on MEPs (273% on average), induced by the SICF paradigm (p = 0.013).
As opposed to MEP amplitude decline in the RS-baseline, the RS interacted with the LICI when combining the RS and the LICI paradigms, demonstrated as “Paradigm*Stimulus Order” interaction effect (F(3,56) = 4.12, p = 0.081 for the absolute MEPs and F(3,56) = 15.04, p = 0.006 for the normalized MEPs) (Fig. 1). This non-linear modulatory effect was observed as an increase in normalized MEP amplitudes during RS-LICI (Fig. 1a). Post hoc paired t-test revealed that the third MEP amplitude within RS-LICI trains was significantly higher than that in RS-baseline trains (p = 0.019 for the absolute MEPs and p < 0.001 for the normalized MEPs). No increase in the second and fourth MEP amplitudes was observed (p > 0.1). The Main effects of “Paradigm” and “Stimulus Order” on MEPs were also investigated (F(3,56) = 4.12, p = 0.082 (Paradigm) and F(3,56) = 3.10, p = 0.127 (Stimulus Order) for the absolute MEPs and, F(3,56) = 38.44, p = 0.001 (Paradigm) and F(3,56) = 5.32, p = 0.054 (Stimulus Order) for the normalized MEPs).
Interaction between the RS and the SICF were observed through a combined RS-SICF paradigm. Using the absolute MEPs illustrates the common offset added to the RS by SICF clearly. Main effect of “Paradigm” revealed that the RS-SICF paradigm increased the MEP amplitudes by a common offset (F(3,56) = 7.22, p = 0.031) for the absolute MEPs and F(3,56) = 8.34, p = 0.023 for the normalized MEPs), while the absolute RS effect remained unchanged (p > 0.5) (Fig. 1), as hypothesized. The main effect of “Stimulus Order” on MEPs was also demonstrated (F(3,56) = 16.62, p = 0.005 for the absolute MEPs and F(3,56) = 5.53, p = 0.048 for the normalized MEPs). Post hoc paired-samples t-test revealed the significant increase of the MEP amplitudes within the RS-SICF trains (p = 0.013, p = 0.044, p = 0.031 and, p = 0.031 for the absolute MEPs, in the first, second, third and, fourth stimulus, respectively and p = 0.050, p = 0.034, p = 0.030 for the normalized MEPs in the second, third and, fourth stimulus, respectively).
Discussion
The findings from the present study suggest that combining the RS and LICI causes the RS to be overridden by the interaction with LICI, hence suggesting an interacting mechanism at the cortex between the two inhibitory phenomena. Since the ISI at which LICI occurs was 100 ms in our study, the time course at which LICI persists is over 100 ms following the first stimulus. On the other hand, the ISI between the consecutive pulses in the RS paradigm, 1 s, confirms its inhibitory action around 1 s. Hence, the relatively long time course of these two inhibitory phenomena raises the possibility of their interaction.
The RS is demonstrated by characteristic immediate drop in the MEP amplitude after the first stimulus, and a slight recovery of amplitudes may be observed towards the baseline28. The immediate drop is considered to occur to prevent meaningless movements by increase of the intracortical inhibition after a movement executed without prefrontal planning17. A previous study reported that in the active muscles the TMS-induced silent periods increase over time during the RS, suggesting that cortical inhibition is becoming stronger with repeated stimuli19. Hence, the suppression via cortical inhibition is strengthened after each repeated stimulus perhaps to balance the drive towards homeostatic baseline, which could be reflected as the observed gradual recovery in responses during RS, demonstrating an ongoing chance in the inhibition/excitation balance. In progressive myoclonus type 1 (EPM1) the inhibitory tonus is impaired29, and the observed abnormal RS is weaker14. As the inhibitory tonus is prevailing and saturated, disabling the maintained RS and enabling an immediate recovery in adolescent patients, the mechanism described above could be a viable explanation for the observed recovery. Although several mechanisms have been proposed, the underlying neurophysiologic basis of the RS has remained elusive11. The heightened amplitude of the initial response as compared to the consecutive responses can be explained by the arousal effect; an effect originated in the brainstem ascending reticular activation system (RAS) in response to novel stimuli30,31. A potential model explaining the attenuation of the consecutive responses is the Sharpening model. According to this model, the population size of the firing neurons is optimized to a maximal capacity of the target organ by a feedback loop as the stimulus is repeated12,30,32.
Another plausible underlying physiological mechanism might contribute to the increased activity of the GABAergic inhibitory system19, a mechanism that is mediating the LICI22. Apart from the production mechanisms of these two inhibitory phenomena, it has been suggested that they occur at different levels of the central nervous system. The RS is thought to occur at the thalamo-cortical level, while the LICI originates at the cortical cortical level7,14,16,20. Therefore, most likely, RS is ruled out by LICI at the cortex, tapping into the thalamo-cortical feedback loop that is activated by the RS. To elaborate on this, one possible explanation for the underpinning mechanism of the observed interaction between the RS and LIC is the activation of the thalamo-cortical feedback loop. We speculate that similar to the baseline measurement, the negative feedback from the cortical areas such as tightly interconnected sensory areas close by may increase the GABAergic intracortical inhibition after the first stimulus, which in turn causes the suppression of the second MEP amplitude. To restore the balance between the inhibitory and excitatory states of the motor network, the negative feedback loop weakens the thelamo-cortical inhibition and disinhibition dominates, following the second stimulus, resulting in a greater MEP during the third stimulus. During the third stimulus, the feedback loop is attenuated again, allowing for a greater response to occur. Higher response causes the enhancement of the function of the negative feedback loop following the third stimulus, resulting in suppression of the fourth response. Even though, our results cannot directly pin-point the thalamo-cortical pathway as the interaction locus for RS and LICI, this possibility cannot entirely be ruled out either. Animal studies have demonstrated activation of the inhibitory thalamic reticular nuclei following stimulation of the cerebral cortex33,34. This activation can result in inhibition of the cerebro-thalamo-cortical pathway. It has been suggested that the conditioning stimulus of the LICI may affect the thalamo-cortical pathway at the thalamus35. Therefore, there is a possibility that the interaction site is at the subcortical level.
We observed that I1-wave timed SICF facilitated all MEP responses without modulating the absolute RS, meaning the inhibitory effect appeared not to affect the I1-wave SICF interaction. There is growing evidence on the stability of I1-wave, making it implausible to be modulated by inhibitory and excitatory mechanisms23,24,36. Setting the time interval between the two consecutive pulses in SICF in such manner that I1-wave is targeted can enhance the effects of TMS by influencing the absolute momentary motor cortical activation, probably via synchronization of I2-wave in conditioning pulse with I1-wave in test pulse. Facilitatory effect of the I1-wave timed paired-pulse TMS has been recently demonstrated with biphasic TMS waveform10. In accordance with these data, our finding also suggests facilitation effect observed, using I-wave-timed paired-pulse TMS, where the inhibitory RS remains unchanged, i.e., the observed effect in the normalized MEPs was explained fully by the common offset added by the SICF to all absolute MEP responses in the RS paradigm.
Detrimental parameters that need to be taken into account to optimize the probability of the occurrence of the required paradigms, e.g. the RS and LICI, are the intensity, the location of the stimulus and the direction of the induced current, and ITI28,37,38,39,40. In the current study, ITI of 17 s was employed in all RS paradigms, since it has been depicted that RS effect is more pronounced at this ITI, probably due to more time to recover. No carry-over effects from trial to trial have been observed at this ITI28. Similarly, we optimized the parameters for LICI and SICF protocols to optimize the inhibitory and facilitatory effects confirmed as successful by our baseline measurements9,10,19. Altering the applied parameters for the SICF and LICI could have altered the results.
In conclusion, in agreement with our hypothesis, the SICF did not interact with the RS, but facilitated all responses in the RS train. Again, in agreement with our hypothesis, the LICI demonstrated an interaction effect with RS, exhibiting a non-linear interaction partly reducing the common RS effect potentially interfering with the RS at the cortical level.
Methods
Subjects
Eight healthy right-handed volunteers with no history of neurological disorders were recruited in this study (6 males, aged 22–42 years). Written informed consents were obtained from all participants. The study was approved by the research ethics committee of the Kuopio University Hospital (256/2017). The study was performed in accordance with the Declaration of Helsinki abiding the safety guidelines for TMS applications41.
Transcranial magnetic stimulation (TMS)
The measurements were performed using a customized NBS System 4.3 (Nexstim Plc., Helsinki, Finland) with an air-cooled figure-of-eight coil. Prior to the study, structural T1-weighted magnetic resonance images (MRIs) were acquired with a 3T MRI scanner (Philips Achieva 3.0T TX, Philips, The Netherlands). MRI data were further utilized in neuronavigation. The initial step in stimulation procedure was to determine the abductor pollicis brevis (APB) muscle “hotspot”, i.e. the cortical site capable of eliciting the maximal contralateral muscle response with minimal stimulator output intensity. Once the hotspot was identified, the resting motor threshold (rMT) was determined using system-integrated iterative threshold assessment tool10. The subsequent TMS stimuli were administrated over the APB hotspot at an intensity of 120% rMT during three different paradigms used during this study: RS-baseline, RS-SICF and RS-LICI, utilizing the biphasic waveform (Fig. 2). All RS paradigms included twenty trains of four trials. Four trials have been demonstrated to evoke a reliable RS effect14,28. The trials consisted of the stimuli either from a single-pulse form (RS-baseline) or a paired-pulse form (RS-SICF and RS-LICI). In RS-SICF a suprathreshold pulse was followed by a subthreshold one at an inter-pulse interval (IPI) of 1.4 ms10, whereas in RS-LICI, a conditioning suprathreshold pulse was delivered 100 ms before a suprathreshold test pulse42. An inter-stimulus interval (ISI) of 1 s within the trials and inter-train interval (ITI) of 17 s maintained throughout all the paradigms28. For confirming the induction of the LICI, baseline measurements were also conducted prior to the RS experiments applying 20 trials of paired pulses at 120% rMT at IPI of 100 ms at the ITI of about 5 s and comparing the first response amplitude to the second one in the stimulus pairs43. The occurrence of SICF was verified at the first stimuli of the RS-SICF protocol by comparing those to the first stimuli of the RS-baseline protocol.
Electromyography (EMG)
EMG responses, i.e. MEPs, were recorded via an integrated EMG system at the sampling frequency of 3 kHz. A pair of disposable Ag-Cl electrodes were utilized with the active electrode placed over the belly of the APB muscle and a reference electrode placed over the joint distal to the active electrode (Fig. 2). The MEPs were recorded by triggering the EMG signal with TMS, and were processed offline in Matlab (version R2017b, MathWorks Inc., Natick, MA, USA). The timing and intensity of the stimuli within the protocols was set with the integrated navigation and recording system software at a millisecond precision. The IPI for the paired-pulses can be adjusted at a 0.1 ms precision. MEPs occurring in the resting muscles with peak-to-peak amplitude greater than 50 μV, were considered as MEPs.
Statistical analysis
MEP data in each paradigm were first averaged over all the trains on the basis of their stimulus order in a train, for each subject. First, to assess the RS effect in the baseline condition, repeated measures ANOVA with “Stimulus Order” within a train (first, second, third and, fourth) as fixed effect was applied. Also, to evaluate the inhibition effect in LICI baseline, Wilcoxon signed-rank test was conducted to compare the test pulses against the conditioning ones. A two-way repeated measures ANOVA with “Paradigm” (RS-baseline, RS-LICI and, RS-SICF) and “Stimulus order” (first, second, third and, fourth) as within-subject factors was employed to evaluate the influence of the paradigms and stimulus order as main effects, as well as their interaction effect. Further, Post-hoc tests were performed to assess the effect of the paradigms on MEPs at each stimulus order. All tests were conducted on both absolute and normalized MEPs. Normalization was performed by dividing all average MEP amplitudes within the trials with the average amplitude of the first MEP. Post-hoc comparisons were conducted using paired t-test with Bonferroni correction. A p-value of <0.05 indicated statistical significance. Statistical analyses were conducted using SPSS (v. 25.0, SPSS Inc., IBM Company, Armonk, NY, USA) and Matlab (version R2017b, MathWorks Inc., Natick, MA, USA).
Data Availability
The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.
References
Di Lazzaro, V. & Ziemann, U. The contribution of transcranial magnetic stimulation in the functional evaluation of microcircuits in human motor cortex. Front. Neural Circuits 7, 18 (2013).
Rothwell, J. et al. Transcranial electrical stimulation of the motor cortex in man: further evidence for the site of activation. J Physiol 481, 243–250 (1994).
Sanes, J. N. & Donoghue, J. P. Plasticity and primary motor cortex. Annu. Rev Neurosci 23, 393–415 (2000).
Paulsen, O. & Moser, E. I. A model of hippocampal memory encoding and retrieval: Gabaergic control of synaptic plasticity. Trends Neurosci 21, 273–278 (1998).
Barker, A. T., Jalinous, R. & Freeston, I. L. Non-invasive magnetic stimulation of human motor cortex. Lancet 21, 1106–1107 (1985).
Di Lazzaro, V. et al. I-wave origin and modulation. Brain Stimul 5, 512–525 (2012).
Di Lazzaro, V. et al. Direct demonstration of the effect of lorazepam on the excitability of the human motor cortex. Clin Neurophysiol 111, 794–799 (2000).
Di Lazzaro, V. et al. Demonstration of facilitatory i wave interaction in the human motor cortex by paired transcranial magnetic stimulation. J Physiol 511(Pt 1), 181–90 (1998).
Julkunen, P., Järnefelt, G., Savolainen, P., Laine, J. & Karhu, J. Facilitatory effect of paired-pulse stimulation by transcranial magnetic stimulation with biphasic wave-form. Med Eng Phys 38, 813–817 (2016).
Kallioniemi, E. et al. Transcranial magnetic stimulation modulation of corticospinal excitability by targeting cortical i-waves with biphasic paired-pulses. Brain Stimul 11, 322–326 (2018).
Grill-Spector, K., Henson, R. & Martin, A. Repetition and the brain: neural models of stimulus-specific effects. Trends Cogn Sci 10, 14–23 (2006).
Desimone, R. Neural mechanisms for visual memory and their role in attention. Proc Natl Acad Sci USA 93, 13494–13499 (1996).
Desimone, R. et al. Habituation revisited: an updated and revised description of the behavioral characteristics of habituation. Neurobiol Learn. Mem 92, 135–138 (2009).
Julkunen, P. et al. Abnormal motor cortical adaptation to external stimulus in unverricht-lundborg disease (progressive myoclonus type 1, epm1). J Neurophysiol 120, 617–623 (2018).
Kallioniemi, E. et al. Repetition suppression in transcranial magnetic stimulation induced motor evoked potentials is impaired in schizophrenic patients. Brain Stimul 10, 415 (2017).
Löfberg, O., Julkunen, P., Pääkkönen, A. & Karhu, J. The auditory-evoked arousal modulates motor cortex excitability. Neurosci. 274, 403–408 (2014).
Löfberg, O., Julkunen, P., Tiihonen, P., Pääkkönen, A. & Karhu, J. Repetition suppression in the cortical motor and auditory systems resemble each other – a combined tms and evoked potential study. Neurosci. 243, 40–45 (2013).
Julkunen, P. & Karhu, J. Navigated Transcranial Magnetic Stimulation in Neurosurgery, chap. Brain Plasticity in Neurosurgery (Springer, 2017).
Kallioniemi, E., Pääkkönen, A. & Julkunen, P. Repetition suppression in transcranial magnetic stimulation-induced motor-evoked potentials is modulated by cortical inhibition. Neurosci. 310, 504–511 (2015).
Valls-Solé, J., Pascual-Leone, A., Wassermann, E. M. & Hallett, M. Human motor evoked responses to paired transcranial magnetic stimuli. Clin Neurophysiol 85, 355–364 (1992).
McCormick, D. A. Gaba as an inhibitory neurotransmitter in human cerebral cortex. J Neurophysiol 62, 1018–1027 (1989).
McDonnell, M. N., Orekhov, Y. & Ziemann, U. The role of gabab receptors in intracortical inhibition in the human motor cortex. Exp brain Res 173, 86–93 (2006).
Di Lazzaro, V. et al. Magnetic transcranial stimulation at intensities below active motor threshold activates intracortical inhibitory circuits. Exp brain Res 119, 265–268 (1998).
Di Lazzaro, V. et al. Intracortical origin of the short latency facilitation produced by pairs of threshold magnetic stimuli applied to human motor cortex. Exp brain Res 129, 494–499 (1999).
Roick, H. et al. On the origin of the postexcitatory inhibition seen after transcranial magnetic brain stimulation in awake human subjects. Exp brain Res 94, 489–498 (1994).
Siebner, H. et al. Continuous intrathecal baclofen infusions induced a marked increase of the transcranially evoked silent period in a patient with generalized dystonia. Muscle Nerve 21, 1209–1212 (1998).
Werhahn, K. J. et al. Differential effects on motorcortical inhibition induced by blockade of gaba uptake in humans. J Physiol 517(Pt 2), 591–597 (1999).
Pitkänen, M., Kallioniemi, E. & Julkunen, P. Effect of inter-train interval on the induction of repetition suppression of motor-evoked potentials using transcranial magnetic stimulation. PLoS One 12, 1–10 (2017).
Danner, N. et al. Altered cortical inhibition in unverricht–lundborg type progressive myoclonus epilepsy (epm1). Epilepsy Res 85, 81–88 (2009).
Wiggs, C. L. & Martin, A. Properties and mechanisms of perceptual priming. Curr Opin Neurobiol 8, 227–233 (1998).
Brown, P. et al. New observations on the normal auditory startle reflex in man. Brain Pt 4, 1891–1902 (1991).
Friston, K. A theory of cortical responses. Philos Trans R Soc Lond B Biol Sci 360, 815–836 (2005).
Zhang, L. & Jones, E. G. Corticothalamic inhibition in the thalamic reticular nucleus. J Neurophysiol 91, 759–766 (2004).
Ando, N. et al. Relative contributions of thalamic reticular nucleus neurons and intrinsic interneurons to inhibition of thalamic neurons projecting to the motor cortex. J Neurophysiol 73, 2470–2485 (1995).
Daskalakis, Z. J. et al. Exploring the connectivity between the cerebellum and motor cortex in humans. J Physiol 557, 689–700 (2004).
Rusu, C. V., Murakami, M., Ziemann, U. & Triesch, J. A model of tms-induced i-waves in motor cortex. Brain Stimul 7, 401–414 (2014).
Klomjai, W. et al. Basic principles of transcranial magnetic stimulation (tms) and repetitive tms (rtms). Ann Phys Rehabil Med 58, 208–213 (2015).
Julkunen, P. et al. Comparison of navigated and non-navigated transcranial magnetic stimulation for motor cortex mapping, motor threshold and motor evoked potentials. Neuroimage 44, 790–795 (2009).
Di Lazzaro, V. et al. The effect on corticospinal volleys of reversing the direction of current induced in the motor cortex by transcranial magnetic stimulation. Exp brain Res 138, 268–273 (2001).
Davila-Pérez, P. et al. The effects of waveform and current direction on the efficacy and test–retest reliability of transcranial magnetic stimulation. Neurosci. 393, 97–109 (2018).
Rossi, S. et al. Safety, ethical considerations, and application guidelines for the use of transcranial magnetic stimulation in clinical practice and research. Clin Neurophysiol 120, 2008–2039 (2009).
Nakamura, H., Kitagawa, H., Kawaguchi, Y. & Tsuji, H. Intracortical facilitation and inhibition after transcranial magnetic stimulation in conscious humans. J Physiol 498, 817–823 (1997).
Opie, G. M. et al. Investigating tms–eeg indices of long-interval intracortical inhibition at different interstimulus intervals. Brain Stimul 10, 65–74 (2017).
Acknowledgements
This work was supported by State Research Funding (projects 5041763, Kuopio, Finland) and Orion Research Foundation (Espoo, Finland).
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P.J. and J.K. designed the experiments; S.K., P.J. and L.S. conducted the experiments; S.K. conducted the formal analysis of the data; S.K. wrote the original manuscript; P.J., J.K. and L.S. and M.K. participated in editing the manuscript. All authors reviewed the manuscript.
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P.J. has received consulting fees and travel support from Nexstim Plc. J.K. is employed part-time by Nexstim Plc, manufacturer of navigated TMS systems. S.K., L.S., and M.K. declare no conflict of interest.
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Kariminezhad, S., Karhu, J., Säisänen, L. et al. Interaction between repetition suppression in motor activation and long-interval intracortical inhibition. Sci Rep 9, 11543 (2019). https://doi.org/10.1038/s41598-019-47932-9
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DOI: https://doi.org/10.1038/s41598-019-47932-9
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