Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

How Does Anodal Transcranial Direct Current Stimulation of the Pain Neuromatrix Affect Brain Excitability and Pain Perception? A Randomised, Double-Blind, Sham-Control Study

  • Bita Vaseghi ,

    bita.vaseghi@monash.edu.au

    Affiliation Department of Physiotherapy, School of Primary Health Care, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia

  • Maryam Zoghi,

    Affiliation Department of Medicine, Royal Melbourne Hospital, The University of Melbourne, Melbourne, VIC, Australia

  • Shapour Jaberzadeh

    Affiliation Department of Physiotherapy, School of Primary Health Care, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia

Abstract

Background

Integration of information between multiple cortical regions of the pain neuromatrix is thought to underpin pain modulation. Although altered processing in the primary motor (M1) and sensory (S1) cortices is implicated in separate studies, the simultaneous changes in and the relationship between these regions are unknown yet. The primary aim was to assess the effects of anodal transcranial direct current stimulation (a-tDCS) over superficial regions of the pain neuromatrix on M1 and S1 excitability. The secondary aim was to investigate how M1 and S1 excitability changes affect sensory (STh) and pain thresholds (PTh).

Methods

Twelve healthy participants received 20 min a-tDCS under five different conditions including a-tDCS of M1, a-tDCS of S1, a-tDCS of DLPFC, sham a-tDCS, and no-tDCS. Excitability of dominant M1 and S1 were measured before, immediately, and 30 minutes after intervention respectively. Moreover, STh and PTh to peripheral electrical and mechanical stimulation were evaluated. All outcome measures were assessed at three time-points of measurement by a blind rater.

Results

A-tDCS of M1 and dorsolateral prefrontal cortex (DLPFC) significantly increased brain excitability in M1 (p < 0.05) for at least 30 min. Following application of a-tDCS over the S1, the amplitude of the N20-P25 component of SEPs increased immediately after the stimulation (p < 0.05), whilst M1 stimulation decreased it. Compared to baseline values, significant STh and PTh increase was observed after a-tDCS of all three stimulated areas. Except in M1 stimulation, there was significant PTh difference between a-tDCS and sham tDCS.

Conclusion

a-tDCS of M1 is the best spots to enhance brain excitability than a-tDCS of S1 and DLPFC. Surprisingly, a-tDCS of M1 and S1 has diverse effects on S1 and M1 excitability. A-tDCS of M1, S1, and DLPFC increased STh and PTh levels. Given the placebo effects of a-tDCS of M1 in pain perception, our results should be interpreted with caution, particularly with respect to the behavioural aspects of pain modulation.

Trial Registration

Australian New Zealand Clinical Trials, ACTRN12614000817640, http://www.anzctr.org.au/.

Introduction

Pain is a multidimensional phenomenon with sensory-discriminative, affective-motivational, motor and autonomic components [15]. Primary (S1) and secondary (S2) somatosensory cortices, the thalamus, and posterior part of the insula collectively called lateral pain system which are responsible for sensory-discrimination of pain [6]. In contrast, the anterior cingulate cortex (ACC) and anterior part of the insula have been involved in affective-motivation processing of pain, which is referred to as the medial pain system [4, 79]. Cognitive aspects of pain is related to dorsolateral prefrontal cortex (DLPFC) [1]. Recent studies have shown that the motor cortex is also involved in pain modulation [1016]. Some other areas of the brain including the pre-acuectal grey matter (PAG) system and nucleus cuneiformis also play a major role in modulation of pain [6]. Involvement of these areas of brain in pain processing occurs in a large distributed neural network called pain neuromatrix (PNM) [17]. Some parts of the PNM such as S1, M1, and DLPFC are superficial, and some others such as the thalamus, insula, and anterior cingulate cortex are deep structures [1, 4].

A growing body of evidence indicates co-activation of S1, M1 and DLPFC during pain processing [7, 18, 19], which may provide evidence for functional connectivity between these cortical sites. The connectivity between M1 and S1 has already been established by a number of studies. Matsunaga et al. showed that anodal transcranial direct current stimulation (a-tDCS) over the M1 can induce a long-lasting increase in the size of ipsilateral cortical components of sensory evoked potentials (SEPs) [20]. This connectivity was also studied by Schabrun et al. looking at the pain-induced changes in S1 and M1 excitability. They showed that the S1 excitability was reduced during and after pain, while M1 excitability was suppressed only after the resolved pain [21]. Furthermore, positron emission tomography (PET) studies also indicated mixed results which indicate that this relationship is not very straight forward. They showed that pain-induced S1 activity may coincide with increased [22, 23], decreased [24], or unchanged [25] M1 activity. Therefore, there is no consensus on direction of M1 activation in response to pain induced changes in S1. The relationship for DLPFC and M1 is more straightforward. Despite the direct effects of DLPFC on the frontal-parietal network and subgenual cortex [26], literature indicates that increased DLPFC activity coincides with increased M1 activity and modulation of the medial pain system [27, 28].

Recent investigations have also demonstrated that the excitability changes in superficial areas of PNM induces changes in some key variables operationalizing pain, including sensory threshold (STh) and pain threshold (PTh) [2931]. It is reported that increasing the excitability of M1 and/or S1 results in different STh/PTh responses [32, 33]. Based on the results of a recent systematic review, there is a site-specific effect in STh/PTh modulation following an increase in the excitability of M1/S1 in healthy individuals and M1/DLPFC in patients with chronic pain [9]. Unlike M1 and S1, the role of DLPFC on STh/PTh has not been investigated. The closest study in this regard is a recently published systematic review by O’Connell et al. (2014) which indicated that excitability modulation following application of repeated transcranial magnetic stimulation (rTMS), tDCS, or cerebral electrotherapy stimulation (CES) over the DLPFC has no effect on the pain level in patients with chronic pain [34]. The above studies could be categorised in two groups: first, the induced changes in a single PNM site is followed by measurement of excitability and STh/PTh changes in another site. Second, pain induced temporal association between the changes in activity of PNM sites are studied. To the best of our knowledge, there is no study in the literature to collectively investigate the effects of changes in one of these three superficial sites of PNM on the other two sites.

A-tDCS is a powerful non-invasive neuromodulatory technique which could be used to study the functional connectivity [3537]. Therefore, in the present study, the primary aim is to simultaneously measure the level of M1 and S1 excitability following a-tDCS of M1, S1, and DLPFC to investigate the functional connectivities between these sites in healthy individuals. The secondary aim was to investigate how M1 or S1 excitability modulation affects STh and PTh. We also aimed to investigate the placebo effects of a-tDCS on modulation of M1, S1 excitability and STh and PTh. Indeed, the results of this pilot study generate further hypotheses relating to complex mechanisms of different brain stimulation localisations on sensory/pain thresholds.

Materials and Methods

Study design

We conducted a single-center, doubled-blinded, randomized, sham-controlled crossover study to determine the site-specific effect of a single session of a-tDCS on M1 and S1 excitability and STh and PTh in healthy volunteers. This study conformed to the ethical standards of the Declaration of Helsinki and was approved by the institutional ethics committee at Monash University, Clayton, Australia (S1 Ethics). Considering the WHO definition, it was impossible to publish the current study as an “Original Article”. As a result, it was registered as a clinical trial on the Australian New Zealand Clinical Trial (registry number: ACTRN12614000817640, http://www.anzctr.org.au/) after enrolment of all participants. The authors confirm that all ongoing and related trials for tDCS studies are registered.

Participants

Between October and December of 2013, we conducted 60 experiments on 12 healthy volunteers (four men and eight women, all Monash University students) with a mean age of 23.6±5.3 years (age range 20–34). All were right-handers as determined by the Edinburgh Handedness Inventory (10-item version, mean laterality quotient = 87.9±10.5) [38]. Eligibility criteria were: age between 18 and 35 years, no clinically significant or unstable medical, neuropsychiatric, or chronic pain disorder, no history of substance abuse or dependence, no use of central nervous system-effective medication, no history of brain surgery, tumour, or intracranial metal implantation. All participants were interviewed and examined by a physician prior to enrolment in the study and provided written, informed consent. The protocol for this trial and CONSORT checklist are available; see S1 CONSORT Checklist and S1 Protocol.

Experimental procedures

The healthy participants received intervention with tDCS under each of five different conditions in a random order: a-tDCS of M1, a-tDCS of S1, a-tDCS of DLPFC, sham a-tDCS, and no-tDCS. The experimental sessions were separated by at least 72 hours to avoid interference or carry-over effects of tDCS, and completed at the same time of day (mornings or early afternoon) to avoid diurnal variation. The duration of tDCS application was 20 minutes in all experiments. MEPs, SEPs, STh, PTh to peripheral electrical stimulation, and PTh to pressure stimulation (PpTh) were assessed before (Tpre), immediately after (T0) and 30 minutes (T30) after each intervention. Participants were blinded to the condition of tDCS (sham or active). The progress of the clinical trial through various phases (Enrollment, Allocation, Follow-up, and Analysis) is shown in Fig. 1. Two researchers (assessor of outcome measures and tDCS administrator) were involved in the current study; the assessor who measured SEP, MEP, STh, PTh, and PpTh and took part in data analysis, was blinded to all experimental conditions. The tDCS administrator, who was responsible for delivering the tDCS was not blinded to the tDCS condition.

thumbnail
Fig 1. Flow diagram of the progress through the phases (Enrolment, Allocation, Follow-up, and Analysis) of the randomized clinical trial of transcranial direct current stimulation (tDCS) and sham/control groups.

https://doi.org/10.1371/journal.pone.0118340.g001

A-tDCS of superficial regions of PNM

Anodal tDCS was administered through an active saline-soaked surface sponge electrode (2×1.5cm) over the target area and a reference electrode (3×4cm over the right contralateral supraorbital area [35]. The larger size for the reference electrode decreases current density (CD) and reduces side effects under the indifferent electrode with more focused density under the anode [39]. The tDCS stimulator (Intelec Advanced Therapy System, Chattanooga, USA) was programmed to deliver 0.3mA direct current for 20 minutes, with 10 seconds of linear fade in and fade out. The electrodes were fixed with two horizontal and perpendicular straps.

Current intensity was set at 0.3mA which enabled us to considerably decrease the size of the electrodes [40]. In all experiments, the CD was kept at 0.1 mA/cm2 which is in a safe range with limited side effects [35, 41, 42]. There is evidence for superiority of this intensity in induction of corticospinal excitability [41, 4345]. The small size of the anode electrode authorized highly focused stimulation of M1 and S1 [46].

For anodal stimulation of M1 and S1, the anode electrode was placed over C3 and C′3 (2cm backward relative to C3) based on the 10–20 system. For anodal stimulation of DLPFC, the anode electrode was placed over F3 (Fig. 2). The reference electrode (cathode) was conventionally placed over the contralateral supraorbital area with an assumption of negligible or zero neuromodulatory effects on the subgenual cortex. We kept the size of this electrode four times larger than the active anode (the density was four times less) to minimize neuromodulatory effects under the cathode, but in reality, the subgenual cortex may be affected even by this very low density of currents under the cathode [4749]. In the sham condition, the electrodes were placed in the same positions as for anodal M1 or S1 stimulation randomly, but the stimulator was turned off after 30 seconds of stimulation. For the no-tDCS session, participants were asked to sit in a podiatry chair during the 20-minute intervention time although no electrode was placed on PNM regions. All pre and post evaluations were identical to those in other conditions.

thumbnail
Fig 2. Schematic illustration of electrode montage.

Stimulation of primary motor cortex (M1), primary sensory cortex (S1), and dorsolateral prefrontal cortex (DLPFC), the anode electrode was positioned on C3 (A), C′3 (B), and F3 (C) consecutively. The reference electrode was placed over the contralateral supraorbital area in all conditions.

https://doi.org/10.1371/journal.pone.0118340.g002

Measurement of side effects

To record side effects or adverse effects resulting from stimulation, all participants were asked to complete questionnaires both during and after all experimental conditions. The questionnaire contained rating scales for the presence and severity of side effects such as itching, tingling, burning sensations under electrodes [50, 51] as well as adverse effects including headache and pain during and after stimulation. All participants rated the unpleasantness of any scalp sensation using numeric analogue scales (NAS) (e.g., 0 = no tingling to 10 = worst tingling imaginable).

M1 excitability measurement

Participants were seated upright in an adjustable podiatry chair, with the forearm pronated and the wrist joint in neutral position resting on the armrest. Single-pulse magnetic stimuli were delivered using a Magstim 2002 (Magstim Company Limited, Whiteland, Wales, UK) stimulator with a flat 70mm figure-of-eight standard magnetic coil (peak magnitude field 2.2T). The vertex (Cz) point was measured and marked to be used as a reference [52]. The magnetic coil was placed over the left hemisphere (cortex), contralateral to the target muscle. The orientation of the coil was set at an angle 45° to the midline and tangential to the scalp such that the induced current flowed in a posterior-anterior direction in the brain. A scalp site optimal for evoking an MEP in the first dorsi interosseous (FDI) muscle of the right hand was found and marked as a reference. The coil position and orientation were constantly checked during the experiment to ensure that no changes occurred.

MEP resting threshold (RT) was tested in steps of 2% maximum stimulator output [35], and defined as the lowest intensity for which five of ten successive MEPs exceed 50μV (rest) peak-to-peak amplitude [5355]. For all further MEP measurements, the TMS intensity was set at 120% of each individual’s RT. Fifteen stimuli were elicited to assess corticospinal excitability of M1 at each time point. The stimulus intensity remained constant throughout the study session for each participant.

Surface EMG was recorded from the right FDI muscle using bipolar Ag/AgCl disposable surface electrodes with an inter electrode distance of 3cm (measured from the center of the electrodes). To ensure good surface contact and reduce skin resistance, a standard skin preparation procedure of cleaning and abrading was performed for each electrode site [52, 56]. The location of FDI was determined based on anatomical landmarks [57] and also observation of muscle response in the testing position (abduction of index finger toward the thumb) [58]. The accuracy of EMG electrode placement was verified by asking the participant to contract the muscle of interest while the investigator monitored online EMG activity. A ground electrode was placed ipsilaterally on the styloid process of the ulnar bone [59, 60]. The electrodes were secured by hypoallergenic tape (Micropore, USA). All raw EMG signals were band pass filtered (10–1000Hz), amplified (61000) and sampled at 2000Hz and collected on a PC running commercially available software (ChartTM software, ADinstrument, Australia) via a laboratory analogue-digital interface (The PowerLab 8/30, ADinstrument, Australia). Peak-to-peak MEP amplitude was detected and measured automatically using a custom-designed macro in Powerlab 8/30 software after each magnetic stimulus.

S1 excitability measurement

SEP were recorded following electrical stimulation of the right median nerve at the wrist level at 2Hz with pulse width of 0.2ms [61]. The intensity of stimulation was fixed at the motor threshold [61]. At this stimulus intensity, SEPs were recorded from S1 using electroencephalography (EEG) electrodes. One electrode was located over the C′3 (2cm behind C3) and the reference electrode was placed over the mid-frontal (Fz) position [20, 62]. The electrical potentials were recorded in epochs from 0 to 200ms after the stimulus. A total of 500 stimulus-related epochs were recorded. Peak-to-peak amplitude of N20-P25 responses generated in S1 were measured and compared before and after tDCS stimulation in different areas of PNM [63].

Measurement of STh and PTh

All evaluations were performed at Tpre, T0, and T30 by a blinded rater. The primary outcomes were STh and PTh to electrical stimulation. Electrical stimulation was applied by a pen electrode (model: 2762CC, Chattanooga, USA) to the right median nerve (pulse duration: 200μs) at wrist level. Current supply started at 0mA and was increased in steps of 0.1mA until the participant reported sensation and pain. The intensity of current at which perception of the electrical stimulus was first reported was taken as the STh; the intensity of current at which participants first reported pain was taken as the PTh and then averaged for analysis.

Measurement of PpTh

Pressure was induced using a pressure algometer (model: FDX 50, Wagner, USA; capacity: 50× 0.05Ibf, accuracy: ±0.3% of full scale) with a flat circular metal probe dressed in a plastic cover. Force was displayed digitally in increments of 0.1N. The algometer was mounted vertically. For each measurement the algometer was calibrated to enable force to be applied at a controlled and steady rate. PpTh was defined as the amount of force required to elicit a sensation of pain distinct from pressure or discomfort [64]. The PpTh measurement point was marked in the middle of the belly of the FDI muscle [65].

Participants were instructed in the application of the algometer and given a demonstration. They then underwent two practice measurements on their non-dominant side. Participants were asked to say “stop” immediately when a discernible sensation of pain, distinct from pressure of discomfort, was felt; at this point, the experimenter retracted the algometer [66, 67]. The digital display continued to show the value of pressure applied at the moment the algometer was retracted. The algometer was applied perpendicularly to the skin and lowered at a rate of a rate of approximately 5N/s until PpTh was reached [64], as detected by participants’ verbal report. At each time point, three PpThs were measured approximately 10–15s apart and then averaged for analysis.

Data analysis

The data were analyzed, blinded to experimental conditions. The post-intervention means were normalized to intra-individually and are given as ratios of the baseline [54]. Using one-way repeated measures ANOVA at Tpre of all conditions, we sought to detect any carry-over effect at the starting point of each session.

A two-way repeated measures ANOVA was used to assess the effects of two independent variables, experimental conditions (a-tDCS of S1, M1, DLPFC, sham, and no-tDCS) and time points (Tpre, T0, and T30), on MEPs, SEPs, STh, PTh and PpTh. Mauchly’s test was used to assess the validity of the sphericity assumption for repeated measures ANOVA; it requires that the variances for each set of difference scores be equal. Greenhouse-Geisser corrected significance values were used when sphericity was lacking [68]. Additionally, to test whether the baseline value of each stimulation site differed significantly from post-intervention time points (T0, T30), a paired-sample t-test was applied.

A significance level of P = 0.05 was adopted for all comparisons. A post-hoc test (Bonferroni) was performed where indicated. Means are reported ±SE. Statistical analyses were performed using SPSS software version 22.

Results

Comparison of baseline values

One-way repeated measure ANOVA showed that baseline values of dependent variables (peak-to-peak amplitude of MEPs and of N20-P25 of SEPs) remained unchanged in multiple sessions of assessment for all experimental conditions. This indicates that the wash-out period was adequate and refuses any possibility of carry-over effects from previous interventions on same participants.

The effects of a-tDCS of M1, S1, and DLPFC on M1 excitability

The two-way repeated measures ANOVA revealed significant main effects for the stimulation site, time, and site × time variables (Table 1). Post hoc comparisons showed significant difference between M1/S1, DLPFC/S1, M1/Sham or no-tDCS, DLPFC/Sham or no-tDCS, and S1/no-tDCS at both T0 and T30 (Fig. 3). Based on the results, there was no significant difference between M1-DLPFC and S1-sham at T0 or T30. No significant difference was found between sham and no-tDCS conditions. A two-tailed, paired sample t-test with an alpha level of 0.01 was used to compare baseline values with T0 and T30 in each experimental condition. The results indicated that a-tDCS of both M1 and DLPFC increased the size of MEPs at T0 and T30 significantly. Significant difference was observed between T0-T30 but not Tpre-T0 or Tpre-T30 following a-tDCS of S1 (Table 2).

thumbnail
Table 1. ANOVA results for the effects of a-tDCS on the MEP and SEP sizes and the level of STh, PTh, and PpTh.

https://doi.org/10.1371/journal.pone.0118340.t001

thumbnail
Fig 3. The effects of a-tDCS over different stimulation sites on MEP and SEP sizes.

The peak-to-peak amplitude of MEPs (A), and the peak-to-peak amplitude of N20-P25 of SEPs (B) are illustrated following a-tDCS of primary motor cortex (M1), primary sensory cortex (S1), dorsolateral prefrontal cortex (DLPFC), and sham a-tDCS over time. Filled symbols indicate significant deviation of the post transcranial stimulation MEP and SEP amplitudes relative to the baseline; the brackets show significant differences between different testing conditions. Data are reported as mean ± SEM.

https://doi.org/10.1371/journal.pone.0118340.g003

thumbnail
Table 2. The effects of different experimental conditions on the size of MEPs/SEPs and the level of STh, PTh, PpTh.

https://doi.org/10.1371/journal.pone.0118340.t002

The effects of a-tDCS of M1, S1, and DLPFC on S1 excitability

The results of two-way repeated measures ANOVA showed significant effects for the site of stimulation, time, and site×time variables (Table 1). Post hoc comparisons indicated that there was a significant difference between M1-S1, M1-sham/no-tDCS, and S1-sham/no-tDCS at T0. No significant change was found in the amplitude of N20-P25 30 minutes after a-tDCS. The results also showed that there was no difference between sham and no-tDCS. Paired sample t-tests indicated that there was a significant difference in the size of SEPs at Tpre and T0 following a-tDCS of M1 and S1 (Fig. 3). No significant difference was found between SEP sizes at Tpre and T30 (Table 2).

The effects of a-tDCS of M1, S1, and DLPFC on STh

STh analysis showed significant main effects of stimulation site, time, and site × time (Table 1). As displayed in Fig. 3, there was no significant difference between M1, S1, and DLPFC at T0 and T30. The result indicated a significant difference between M1/sham or no-tDCS at T0 and T30, and DLPFC/sham or no-tDCS at T30. With regard to the STh level after a-tDCS of superficial regions of the PNM at each time point No significant STh changes were found between sham and no-tDCS conditions (Fig. 4). Furthermore, comparing baseline values, the results indicated that STh were significantly increased after a-tDCS of M1 and DLPF at both T0 and T30. Paired t-test results also showed that there is a significant STh increase after a-tDCS of S1 at T30 but not T0 (Table 2).

thumbnail
Fig 4. The effects of a-tDCS over different stimulation sites on sensory and pain threshold.

Sensory threshold (STh) (A), pain threshold (PTh) (B), and pressure pain threshold (PpTh) (C) changes are illustrated following a-tDCS of primary motor cortex (M1), primary sensory cortex (S1), dorsolateral prefrontal cortex (DLPFC), and sham a-tDCS over time. Filled symbols indicate significant deviation of the post transcranial stimulation STh, PTh, PpTh relative to the baseline; the brackets show significant differences between different testing conditions. Data are reported as mean±SEM.

https://doi.org/10.1371/journal.pone.0118340.g004

The effects of a-tDCS of M1, S1, and DLPFC on PTh

The repeated measures ANOVA revealed significant main effects of the stimulation site, time, and stimulation site×time on PTh following a-tDCS of superficial areas of the PNM (Table 1). As shown by the post hoc tests, there was no significant difference between experimental conditions at T0. Significant differences were found between S1/sham or no-tDCS, M1/no-tDCS, DLPFC/no-tDCS, while there was no significant difference in PTh between sham and a-tDCS of M1 and DLPFC. The results also revealed no significant difference between sham and no-tDCS conditions (Fig. 4). Comparing baseline PTh with the values at T0 and T30 indicated that PTh increased immediately and 30 minutes after a-tDCS of S1. PTh increase was also found after a-tDCS of DLPFC and M1 at T30 but not T0 (P< 0.01) (Table 2).

The effects of a-tDCS of M1, S1, and DLPFC on PpTh

A two-way repeated measures ANOVA was used to compare the effects of five different conditions on brain excitability at three time points. The results revealed significant main effects of time, stimulation site, and stimulation × time interaction. Post hoc comparison indicated that there were no significant changes at any sites of stimulation at T0. The results also showed significant differences in PpTh between M1/no-tDCS and DLPFC/no-tDCS conditions. No significant difference between sham and no-tDCS conditions was detected (Fig. 4). Compared to baseline values, pairwise comparison showed significant PpTh changes following a-tDCS of M1 at T30 (Table 2).

Safety and side effects of a-tDCS

All participants tolerated the applied currents in different conditions very well and there was no interruption of experimental procedures due to adverse or side effects of the applied currents. Table 3 summarizes the means ± SEM for reported side effects under the anode and cathode for each of the experimental sessions. Itching is a side effect of a-tDCS, which was experienced by all participants in active and sham sessions. There were no side effects reported by participants after the end of stimulation. No reports of burning sensations, headaches, or pain were recorded during or after stimulation.

thumbnail
Table 3. Numeric sensation score by participants during experimental conditions.

https://doi.org/10.1371/journal.pone.0118340.t003

Discussion

The effects of a-tDCS of M1, S1, and DLPFC on M1 excitability

Our results indicate that there are significant differences between active and sham/no-tDCS in all conditions at T0 (except a-tDCS of S1), and at T30. Hence, we can conclude that our findings are due to the real effects of active a-tDCS, not placebo effects. M1 excitability increases by a-tDCS of both M1 and DLPFC, whereas a-tDCS of S1 produces an opposite effect immediately after intervention (at T0). Interestingly, the MEP sizes significantly increased 30 minutes after completion of S1 a-tDCS.

The findings in current study are in agreement with several other studies in which MEP increases after application of a-tDCS over the M1 [7, 35, 40, 43, 69]. Although compared to other studies, the electrode size and current intensity are different in our study; the current density is kept identical. Furthermore, as can be seen in Fig. 3, the M1 and DLPFC stimulation induced similar M1 corticospinal changes immediately after a-tDCS. Although there is no evidence showing the effects of a-tDCS of the DLPFC on M1 excitability yet, some anatomical studies suggest that the premotor cortex is divided into dorsal and ventral parts and the dorsal part sends its output to the M1 and spinal cord and receives prominent input from DLPFC [70, 71]. DLPFC activity is important during pain for maintenance of information in short-term memory and governing efficient performance control in the presence of painful stimuli by modulation of attention [72, 73]. The attention modulation signals from the DLPFC and motor preparation information from the dorsal part of the premotor cortex are received by the M1. These functional connections findings can explain why increasing the level of DLPFC stimulation leads to increased M1 excitability. As a result, based on the functional [74, 75] and anatomical [74, 76] relationship between DLPFC and M1, we conclude that a-tDCS of the DLPFC may activate the DLPFC-premotor-primary motor pathway and increase M1 excitability.

The mechanisms underlying these changes remain unclear. TDCS affects the stimulated area by a number of different mechanisms and is able to induce changes in different functional areas of brain [77]. TDCS induces physiological changes that result in local and distant plastic changes. Furthermore, the immediate after-effect of a-tDCS is associated with changes in neuronal membrane channels, such as sodium and calcium transporters [7880]. After-effects of a-tDCS are also influenced by the potentiation of synaptic glutamatergic receptors [36].

After a-tDCS of S1, the level of M1 excitability remained unchanged immediately after stimulation and only increased significantly after a 30-minute delay. The cortico-cortical interconnections in superficial layers of the M1 and S1 are likely to be crucial for sensory input processing in S1 and sensorimotor integration [8183]. It has been found that S1-projecting M1 pyramidal neurons strongly recruit a type of interneuron named Vasointestinal Peptide (VIP). VIP interneurons are inhibitory and fast-spiking. They account for the most gamma-Aminobutyric acid (GABAergic) interneurons in S1 and, are located in the superficial layers of S1 and target the distal dentrities of pyramidal cells in M1 [8486]. A-tDCS of S1 might activate VIP interneurons, suppressing M1 excitability for a short period. It is likely that M1 excitability gradually increases after 30 minutes due to M1 and S1 projection [84] and due to short-term potentiation (STP) [87] and early long-term potentiation (e-LTP) [88] mechanisms. E-LTP depends on activation of calcium-dependent kinases, which control the trafficking of α-amino-3-hydroxy-5methyl-4isoxazolepropionic acid, and activation of N-methyl-D-aspartate—a subtype of glutamate receptor [8991].

The effects of a-tDCS of M1, S1, and DLPFC on S1 excitability

Our results show that there were significant differences between sham/no-tDCS and active a-tDCS of M1 and S1. Surprisingly, converse behavior was found following a-tDCS of M1 and S1; the N20-P25 component of the SEPs increased immediately after a-tDCS of S1, but decreased immediately after a-tDCS of M1.

In agreement with other SEP studies, application of a-tDCS over S1 increased the level of S1 excitability [20, 43]. In contrast with SEP studies in which it is reported that SEP facilitation lasted longer than one hour after 10 minutes of a-tDCS of S1 [20, 43], in our study 20 minutes of a-tDCS only increased the level of S1 excitability immediately after a-tDCS. Ion channel alteration in S1 is the probable mechanism behind the immediate effects of a-tDCS [78]. The current study is the first report of the effects of M1 and DLPFC stimulation on S1 excitability.

Few studies have investigated the integration of information between multiple cortical regions, including M1 and S1, in pain conditions [92, 93]. Some of these studies produced similar evidence of reduced MEP amplitude following S1 excitability reduction with experimental pain [92], whereas others failed to do so [9496]. Schabrun et al. concluded that following pain induced S1 excitability reduction, M1 excitability and motor outputs also reduced, although there is no relationship between these measures. Schabrun et al. also indicated that S1 excitability reduction influences M1 processes, but the underlying mechanisms are not understood [92]. There are three possible explanations for the differences between the results; first, the individual variation is high [97], which may conceal or reveal excitability or perception changes in the studies. Second, different methodologies were used in the studies, which may influence the activities of different parts of the brain. Third, the active areas of the brain in experimental subjects experiencing pain are different to those in healthy subjects.

Suppression of N20-P25 amplitude after M1 stimulation may be explained by activation of the projections from motor to sensory cortex [6, 86]. These projections are mainly affect areas 1 and 2 of the sensory cortex. Any changes in these areas of S1 could be easily assessed by P25 and N33 amplitudes [98]. Moreover, some neuroimaging studies demonstrated that a-tDCS of M1 induces widespread bi-directional changes in regional neuronal activities, including thalamic nuclei [1]. Therefore any changes in the N20 component of SEP could be partially explained by activation of the sensory cortex by thalamo-cortical fibers [98]. Although, there is a possibility for contribution of cortico-subcortico-cortical reentry loops to the suppression of the sensory cortex, it is more likely that the observed suppression is produced by cortico-cortical effect from the motor cortex to sensory cortex.

The effects of a-tDCS of M1, S1, and DLPFC on STh

In the current study, no significant changes were found between sham/no-tDCS conditions and the active ones. An immediate effect was observed after a-tDCS of M1. A significant increase was also observed 30 minutes after a-tDCS of M1 and DLPFC.

Our results are in line with those of Boggio et al. (2008), who concluded that a-tDCS of M1 but not DLPFC immediately increases STh [61]. Similarly, our recent meta-analysis showed that a-tDCS of both M1 and S1 increases STh immediately after a-tDCS [99]. However, we found that a-tDCS of DLPFC significantly increased STh after a 30 minute delay, while Boggio et al. found no STh increase [61]. This discrepancy may be explained by differences in methodologies in these studies, such as use of different electrode sizes (5×7cm by Boggio et al. vs. 1.5×2cm in our study), and current intensity (2mA vs. 0.3mA respectively) [46]. In addition, an a-tDCS study by Antal et al. demonstrated that both anodal and sham stimulations had no effect on STh [100]. Ragert et al. also found that a-tDCS of S1 enhances tactile spatial acuity rather than suppresses it [16].

Likewise, there is some evidence indicating that stimulation of M1, may increase the activity of insula and thalamus [101103]. As a result, the insular-thalamus pathway activation following a-tDCS of M1 may be a possible explanation for the modulation of sensory/pain processing, leading to a STh increase.

The effects of a-tDCS of M1, S1, and DLPFC on PTh

The significant difference between sham and no-tDCS conditions, and lack of significant difference between all three sites of stimulation and sham tDCS suggest that a-tDCS may have strong placebo effects on behavioural aspects of pain processing such as PTh. Compared to the no-tDCS condition, PTh significantly increased after 30 minutes of a-tDCS of M1, S1, DLPFC, as well as following sham tDCS.

Our results demonstrate that there is no difference between stimulation of superficial areas of PNM and a-tDCS of all three sites of stimulation increases PTh in healthy individuals. Therefore, it can be concluded that that PTh modulation with a-tDCS of M1, S1, and DLPFC may results in the inhibition of thalamic and brainstem nuclei activity, decreasing the hyperactivity in these areas that underlies chronic pain [61, 104]. Indeed, neuroimaging studies demonstrate that anodal M1 [1] and S1 [15] tDCS induces widespread bidirectional changes in regional neuronal activities, including thalamic nuclei. Therefore, in this study a-tDCS may be modulating thalamic inhibitory connections such that a bigger magnitude of stimulus is required to generate a perception response [102].

Our result revealed that a-tDCS at 0.3mA is associated with effective blinding when compared with the no-tDCS condition. Complete blinding is important in clinical studies with a subjective outcome measure [105], thus both assessor and participants were blinded in our study and it is highly likely that the sensory effects of active stimulation were similar to those of sham tDCS with electrode size of 1.5×2cm and amplitude of 0.3mA. The effects of sham and active tDCS on subjective measurements have been reported in other studies [12, 13, 106] and their results are in agreement with the results of current study. In contrast, some tDCS studies have shown no placebo effect; in these studies the electrodes were large (35cm2) and thus lacked the focal effect of small electrodes (3cm2 in the current study) [20], which possibly affected these studies’ results.

The effects of a-tDCS of M1, S1, and DLPFC on PpTh

The results of applying a-tDCS over M1, S1, and DLPFC revealed no significant immediate effect on PpTh. A-tDCS of M1 and DLPFC resulted in a significant PpTh increase after 30 minutes. In addition, we found no significant difference between either active/sham tDCS or sham/no-tDCS conditions. Furthermore, no significant differences between sham and control or all three sites of stimulation and sham tDCS suggest that a-tDCS has placebo effects on mechanical pain processing. Our results are consistent with previous studies [32, 33] in demonstrating that a-tDCS of M1 and S1 has no significant effect on PpTh.

Mechanoreceptive inputs from large A-beta and small A-delta fibres are ended at the thalamic ventral caudal nucleus via dorsal column medial pathways [107]. As a result, it is possible that a bigger magnitude of stimulus is required to generate a mechanical pain perception [102].

Peripheral electrical stimulation recruits axons based on their diameter, starting with large-diameter fibers (Aß fibers) [108]; in contrast, mechanoreceptors excite myelinated large A-beta and small A-delta fibers and may be processed through anatomically different pathways. It seems that a-tDCS of M1 and DLPFC alters both pathways, resulting in PTh and PpTh increase after a-tDCS of M1 and DLPFC.

Safety and side effects of a-tDCS

The findings of the current study suggest that the use of a-tDCS with small electrodes leads to minimal side effects in healthy individuals. The participants’ tolerance for a-tDCS with the small electrode size was compatible with that for the conventional electrode size at all sites of stimulation. No adverse effect such as seizure, headache, or nausea were recorded, and general discomfort (itching and/or tingling) was the most often reported side effect of both active and sham tDCS.

Limitations of the study

Our findings must be interpreted in the context of several limitations. First, the data were obtained from a healthy population with no pain history; therefore the results may not necessarily be extrapolated to people with different types of pain. Second, the effects were evaluated in young participants (under 35 years); older individuals may respond differently to a-tDCS. Third, some studies have reported gender differences in responses to tDCS [109111]; as most of our participants were women, it is possible that gender influenced our results. Fourth, the current study utilized a conventional electrode montage with the active electrode (anode) over target stimulation areas and the passive electrode (cathode) over contralateral supraorbital area (subgenual cortex). Therefore the findings in this study should be interpreted in light of the fact that all target stimulation sites received anodal stimulation and the subgenual cortex under the passive electrode received cathodal stimulation. This may become significant depending on the nature of the functional connectivity between the subgenual cortex and the PNM sites stimulated in this study.

Suggestions for future research

Our study did not assess the effects of tDCS on M1 and S1 excitability beyond 30 minutes. Further studies are required to fully characterize the effects of tDCS over superficial PNM regions. The effects of a-tDCS application time, current intensity, and electrode size should be systematically studied to improve our understanding in this field. Furthermore, to reveal the mechanisms of action of a-tDCS of superficial PNM regions on the excitability of M1 and S1, M1 excitability should be studied by measuring silent period, intracortical inhibition and facilitation to indirectly assess the role of GABAa, GABAb and glutamergic receptors. Additional pharmacological experiments using receptor agonists/antagonists are needed to determine if a-tDCS of different areas of the PNM has different or similar mechanisms.

Further studies are also recommended to investigate the effects of cathodal tDCS of PNM regions on brain excitability and pain perception. In addition, the current study can be a pilot for further hypothesis generation regarding the complex mechanisms that are involved in response to brain stimulation. To increase homogeneity, controlling for hormonal status in female participants is recommended in future studies.

Conclusion

In summary, the results of this study suggest that compared to a-tDCS of S1, a-tDCS of M1 and DLPFC are better techniques to enhance the excitability of M1. Furthermore, there is no site-specific effect on behavioral aspects of pain processing and a-tDCS of all superficial areas of PNM increased STh and PTh. Our findings can be employed to develop a-tDCS protocols for clinical applications of pain modulation. Our study provides valuable information about the best site of stimulation for future therapeutic strategies in neurorehabilitation and pain studies.

Author Contributions

Conceived and designed the experiments: BV SJ MZ. Performed the experiments: BV. Analyzed the data: BV. Contributed reagents/materials/analysis tools: BV SJ. Wrote the paper: BV SJ MZ. Designed the study: BV SJ MZ. Data collection: BV. Data analysis: BV SJ. Writing and editing the drafts: BV SJ MZ.

References

  1. 1. Apkarian AV, Bushnell MC, Treede RD, Zubieta JK. Human brain mechanisms of pain perception and regulation in health and disease. Eur J Pain. 2005; 9: 463–484. pmid:15979027
  2. 2. Peyron R, Laurent B, Garcia-Larrea L. Functional imaging of brain responses to pain. A review and meta-analysis (2000). Neurophysiol Clin. 2000; 30: 263–288. pmid:11126640
  3. 3. Luedtke K, Rushton A, Wright C, Geiss B, Juergens TP, May A. Transcranial direct current stimulation for the reduction of clinical and experimentally induced pain: a systematic review and meta-analysis. Clin J Pain. 2012; 28: 452–461. pmid:22569218
  4. 4. Kulkarni B, Bentley DE, Elliott R, Youell P, Watson A, Derbyshire SW, et al. Attention to pain localization and unpleasantness discriminates the functions of the medial and lateral pain systems. Eur J Neurosci. 2005; 21: 3133–3142. pmid:15978022
  5. 5. Ostrowsky K, Magnin M, Ryvlin P, Isnard J, Guenot M, Mauguiere F. Representation of pain and somatic sensation in the human insula: a study of responses to direct electrical cortical stimulation. Cereb Cortex. 2002; 12: 376–385. pmid:11884353
  6. 6. Chen JL, Carta S, Soldado-Magraner J, Schneider BL, Helmchen F. Behaviour-dependent recruitment of long-range projection neurons in somatosensory cortex. Nature. 2013; 499: 336–340. pmid:23792559
  7. 7. Lang N, Nitsche MA, Paulus W, Rothwell JC, Lemon RN. Effects of transcranial direct current stimulation over the human motor cortex on corticospinal and transcallosal excitability. Exp Brain Res. 2004; 156: 439–443. pmid:14745467
  8. 8. O’Connell NE, Wand BM, Marston L, Spencer S, Desouza LH. Non-invasive brain stimulation techniques for chronic pain. A report of a Cochrane systematic review and meta-analysis. Eur J Phys Rehabil Med. 2011; 47: 309–326. pmid:21494222
  9. 9. Vaseghi B, Zoghi M, Jaberzadeh S. Does anodal transcranial direct current stimulation modulate sensory perception and pain? A meta-analysis study. Clin Neurophysiol. 2014; 125: 1847–1858. pmid:24555922
  10. 10. Casey KL. Forebrain mechanisms of nociception and pain: analysis through imaging. Proc Natl Acad Sci U S A. 1999; 96: 7668–7674. pmid:10393878
  11. 11. Ploner M, Schnitzler A. [Cortical representation of pain]. Nervenarzt. 2004; 75: 962–969. pmid:15184984
  12. 12. Talbot JD, Marrett S, Evans AC, Meyer E, Bushnell MC, Duncan GH. Multiple representations of pain in human cerebral cortex. Science. 1991; 251: 1355–1358. pmid:2003220
  13. 13. Garcia-Larrea L, Peyron R. Motor cortex stimulation for neuropathic pain: From phenomenology to mechanisms. Neuroimage. 2007; 37 Suppl 1: S71–79. pmid:17644413
  14. 14. Lima MC, Fregni F. Motor cortex stimulation for chronic pain: systematic review and meta-analysis of the literature. Neurology. 2008; 70: 2329–2337. pmid:18541887
  15. 15. Vogt BA, Sikes RW. The medial pain system, cingulate cortex, and parallel processing of nociceptive information. Prog Brain Res. 2000; 122: 223–235. pmid:10737061
  16. 16. Tang JS, Qu CL, Huo FQ. The thalamic nucleus submedius and ventrolateral orbital cortex are involved in nociceptive modulation: a novel pain modulation pathway. Prog Neurobiol. 2009; 89: 383–389. pmid:19819292
  17. 17. Iannetti GD, Mouraux A. From the neuromatrix to the pain matrix (and back). Exp Brain Res. 2010; 205: 1–12. pmid:20607220
  18. 18. Lang N, Siebner HR, Ward NS, Lee L, Nitsche MA, Paulus W, et al. How does transcranial DC stimulation of the primary motor cortex alter regional neuronal activity in the human brain? Eur J Neurosci. 2005; 22: 495–504. pmid:16045502
  19. 19. Baudewig J, Nitsche MA, Paulus W, Frahm J. Regional modulation of BOLD MRI responses to human sensorimotor activation by transcranial direct current stimulation. Magnetic Resonance in Medicine. 2001; 45: 196–201. pmid:11180425
  20. 20. Matsunaga K, Nitsche MA, Tsuji S, Rothwell JC. Effect of transcranial DC sensorimotor cortex stimulation on somatosensory evoked potentials in humans. Clin Neurophysiol. 2004; 115: 456–460. pmid:14744588
  21. 21. Schabrun SM, Ridding MC, Galea MP, Hodges PW, Chipchase LS. Primary sensory and motor cortex excitability are co-modulated in response to peripheral electrical nerve stimulation. PLoS One. 2012; 7: e51298. pmid:23227260
  22. 22. Coghill RC, Talbot JD, Evans AC, Meyer E, Gjedde A, Bushnell MC, et al. Distributed processing of pain and vibration by the human brain. J Neurosci. 1994; 14: 4095–4108. pmid:8027764
  23. 23. Casey KL, Minoshima S, Morrow TJ, Koeppe RA. Comparison of human cerebral activation pattern during cutaneous warmth, heat pain, and deep cold pain. J Neurophysiol. 1996; 76: 571–581. pmid:8836245
  24. 24. Laurent B, Peyron R, Garcia Larrea L, Mauguiere F. [Positron emission tomography to study central pain integration]. Rev Neurol (Paris). 2000; 156: 341–351. pmid:10795010
  25. 25. Jones AK, Brown WD, Friston KJ, Qi LY, Frackowiak RS. Cortical and subcortical localization of response to pain in man using positron emission tomography. Proc Biol Sci. 1991; 244: 39–44. pmid:1677194
  26. 26. Keeser D, Meindl T, Bor J, Palm U, Pogarell O, Mulert C, et al. Prefrontal transcranial direct current stimulation changes connectivity of resting-state networks during fMRI. J Neurosci. 2011; 31: 15284–15293. pmid:22031874
  27. 27. Ploghaus A, Becerra L, Borras C, Borsook D. Neural circuitry underlying pain modulation: expectation, hypnosis, placebo. Trends Cogn Sci. 2003; 7: 197–200. pmid:12757820
  28. 28. Wager TD, Rilling JK, Smith EE, Sokolik A, Casey KL, Davidson RJ, et al. Placebo-induced changes in FMRI in the anticipation and experience of pain. Science. 2004; 303: 1162–1167. pmid:14976306
  29. 29. Fernandez-de-Las-Penas C, Madeleine P, Martinez-Perez A, Arendt-Nielsen L, Jimenez-Garcia R, Pareja JA. Pressure pain sensitivity topographical maps reveal bilateral hyperalgesia of the hands in patients with unilateral carpal tunnel syndrome. Arthritis Care Res (Hoboken). 2010; 62: 1055–1064. pmid:20235189
  30. 30. Bornhovd K, Quante M, Glauche V, Bromm B, Weiller C, Buchel C. Painful stimuli evoke different stimulus-response functions in the amygdala, prefrontal, insula and somatosensory cortex: a single-trial fMRI study. Brain. 2002; 125: 1326–1336. pmid:12023321
  31. 31. Giesecke T, Gracely RH, Williams DA, Geisser ME, Petzke FW, Clauw DJ. The relationship between depression, clinical pain, and experimental pain in a chronic pain cohort. Arthritis Rheum. 2005; 52: 1577–1584. pmid:15880832
  32. 32. Grundmann L, Rolke R, Nitsche MA, Pavlakovic G, Happe S, Treede RD, et al. Effects of transcranial direct current stimulation of the primary sensory cortex on somatosensory perception. Brain Stimul. 2011; 4: 253–260. pmid:22032740
  33. 33. Bachmann CG, Muschinsky S, Nitsche MA, Rolke R, Magerl W, Treede RD, et al. Transcranial direct current stimulation of the motor cortex induces distinct changes in thermal and mechanical sensory percepts. Clin Neurophysiol. 2010; 121: 2083–2089. pmid:20570558
  34. 34. O’Connell NE, Wand BM, Marston L, Spencer S, Desouza LH. Non-invasive brain stimulation techniques for chronic pain. Cochrane Database Syst Rev. 2014; 4: CD008208. pmid:24729198
  35. 35. Nitsche Paulus. Excitability changes induced in the human motor cortex by weak transcranial direct current stimulation. J Physiol. 2000; 527 Pt 3: 633–639. pmid:10990547
  36. 36. Nitsche MA, Fricke K, Henschke U, Schlitterlau A, Liebetanz D, Lang N, et al. Pharmacological modulation of cortical excitability shifts induced by transcranial direct current stimulation in humans. J Physiol. 2003; 553: 293–301. pmid:12949224
  37. 37. Stagg CJ, Nitsche MA. Physiological basis of transcranial direct current stimulation. Neuroscientist. 2011; 17: 37–53. pmid:21343407
  38. 38. Oldfield RC. The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia. 1971; 9: 97–113. pmid:5146491
  39. 39. Nitsche MA, Doemkes S, Karakose T, Antal A, Liebetanz D, Lang N, et al. Shaping the effects of transcranial direct current stimulation of the human motor cortex. J Neurophysiol. 2007; 97: 3109–3117. pmid:17251360
  40. 40. Uy J, Ridding MC. Increased cortical excitability induced by transcranial DC and peripheral nerve stimulation. J Neurosci Methods. 2003; 127: 193–197. pmid:12906948
  41. 41. Brunoni AR, Amadera J, Berbel B, Volz MS, Rizzerio BG, Fregni F. A systematic review on reporting and assessment of adverse effects associated with transcranial direct current stimulation. Int J Neuropsychopharmacol. 2011; 14: 1133–1145. pmid:21320389
  42. 42. Poreisz C, Boros K, Antal A, Paulus W. Safety aspects of transcranial direct current stimulation concerning healthy subjects and patients. Brain Res Bull. 2007; 72: 208–214. pmid:17452283
  43. 43. Nitsche MA, Paulus W. Sustained excitability elevations induced by transcranial DC motor cortex stimulation in humans. Neurology. 2001; 57: 1899–1901. pmid:11723286
  44. 44. Pellicciari MC, Brignani D, Miniussi C. Excitability modulation of the motor system induced by transcranial direct current stimulation: a multimodal approach. Neuroimage. 2013; 83: 569–580. pmid:23845429
  45. 45. Parazzini M, Rossi E, Ferrucci R, Liorni I, Priori A, Ravazzani P. Modelling the electric field and the current density generated by cerebellar transcranial DC stimulation in humans. Clin Neurophysiol. 2013. pmid:24508190
  46. 46. Bastani A, Jaberzadeh S. a-tDCS differential modulation of corticospinal excitability: the effects of electrode size. Brain Stimul. 2013; 6: 932–937. pmid:23664681
  47. 47. Kanda M, Nagamine T, Ikeda A, Ohara S, Kunieda T, Fujiwara N, et al. Primary somatosensory cortex is actively involved in pain processing in human. Brain Res. 2000; 853: 282–289. pmid:10640625
  48. 48. Miranda PC, Lomarev M, Hallett M. Modeling the current distribution during transcranial direct current stimulation. Clin Neurophysiol. 2006; 117: 1623–1629. pmid:16762592
  49. 49. Mylius V, Jung M, Menzler K, Haag A, Khader PH, Oertel WH, et al. Effects of transcranial direct current stimulation on pain perception and working memory. Eur J Pain. 2012; 16: 974–982. pmid:22337597
  50. 50. George MS, Aston-Jones G. Noninvasive techniques for probing neurocircuitry and treating illness: vagus nerve stimulation (VNS), transcranial magnetic stimulation (TMS) and transcranial direct current stimulation (tDCS). Neuropsychopharmacology. 2010; 35: 301–316. pmid:19693003
  51. 51. Nitsche MA, Cohen LG, Wassermann EM, Priori A, Lang N, Antal A, et al. Transcranial direct current stimulation: State of the art 2008. Brain Stimul. 2008; 1: 206–223. pmid:20633386
  52. 52. Schwartz MS, Andrasik FE. Biofeedback: A practitioner’s guide. 2003: Guilford Press.
  53. 53. Hallett M. Transcranial magnetic stimulation: a useful tool for clinical neurophysiology. Ann Neurol. 1996; 40: 344–345. pmid:8797523
  54. 54. Rossini PM, Barker AT, Berardelli A, Caramia MD, Caruso G, Cracco RQ, et al. 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. 1994; 91: 79–92. pmid:7519144
  55. 55. Wassermann E, Epstein C, Ziemann U. Oxford handbook of transcranial stimulation. 2008: Oxford University Press.
  56. 56. Gilmore KL, Meyers JE. Using surface electromyography in physiotherapy research. Aust J Physiother. 1983; 29: 3–9. pmid:25026429
  57. 57. Perotto AO, Delagi EF. Anatomical guide for the electromyographer: the limbs and trunk. 2005: Charles C Thomas Publisher.
  58. 58. Kendall FP, McCreary EK, Provance PG, Abeloff DK. Muscles: testing and function. 1993.
  59. 59. Oh SJ. Clinical electromyography: nerve conduction studies. 2003: Lippincott Williams & Wilkins.
  60. 60. Basmajian JV, De Luca C. Muscles alive. Proceedings of The Royal Society of Medicine. 1985; 278: 126.
  61. 61. Boggio PS, Zaghi S, Lopes M, Fregni F. Modulatory effects of anodal transcranial direct current stimulation on perception and pain thresholds in healthy volunteers. European Journal of Neurology. 2008; 15: 1124–1130. pmid:18717717
  62. 62. Fukuda S. Somatosensory evoked potential]. Masui. The Japanese journal of anesthesiology. 2006; 55: 280.
  63. 63. Ragert P, Becker M, Tegenthoff M, Pleger B, Dinse HR. Sustained increase of somatosensory cortex excitability by 5 Hz repetitive transcranial magnetic stimulation studied by paired median nerve stimulation in humans. Neurosci Lett. 2004; 356: 91–94. pmid:14746871
  64. 64. Fischer AA. Pressure algometry over normal muscles. Standard values, validity and reproducibility of pressure threshold. Pain. 1987; 30: 115–126. pmid:3614975
  65. 65. Chesterton LS, Barlas P, Foster NE, Lundeberg T, Wright CC, Baxter GD. Sensory stimulation (TENS): effects of parameter manipulation on mechanical pain thresholds in healthy human subjects. Pain. 2002; 99: 253–262. pmid:12237203
  66. 66. Fischer AA. Pressure threshold meter: its use for quantification of tender spots. Arch Phys Med Rehabil. 1986; 67: 836–838. pmid:3778185
  67. 67. Fischer AA. Pressure Threshold Measurement for Diagnosis of Myofascial Pain and Evaluation of Treatment Results. The Clinical Journal of Pain. 1986; 2: 207–214.
  68. 68. Meyers LS, Gamst G, Guarino AJ. Applied multivariate research: Design and interpretation. 2006: SAGE Publications, Incorporated.
  69. 69. Fricke K, Seeber AA, Thirugnanasambandam N, Paulus W, Nitsche MA, Rothwell JC. Time course of the induction of homeostatic plasticity generated by repeated transcranial direct current stimulation of the human motor cortex. J Neurophysiol. 2011; 105: 1141–1149. pmid:21177994
  70. 70. Dum RP, Strick PL. The origin of corticospinal projections from the premotor areas in the frontal lobe. J Neurosci. 1991; 11: 667–689. pmid:1705965
  71. 71. He SQ, Dum RP, Strick PL. Topographic organization of corticospinal projections from the frontal lobe: motor areas on the lateral surface of the hemisphere. J Neurosci. 1993; 13: 952–980. pmid:7680069
  72. 72. Bunge SA, Ochsner KN, Desmond JE, Glover GH, Gabrieli JD. Prefrontal regions involved in keeping information in and out of mind. Brain. 2001; 124: 2074–2086. pmid:11571223
  73. 73. Van Ryckeghem DM, De Houwer J, Van Bockstaele B, Van Damme S, De Schryver M, Crombez G. Implicit associations between pain and self-schema in patients with chronic pain. Pain. 2013; 154: 2700–2706. pmid:23932910
  74. 74. Hoshi E. Functional specialization within the dorsolateral prefrontal cortex: A review of anatomical and physiological studies of non-human primates. Neuroscience Research. 2006; 54: 73–84. pmid:16310877
  75. 75. Kolb B, Whishaw IQ. Fundamentals of human neuropsychology. 2009: Macmillan.
  76. 76. Bracht T, Federspiel A, Schnell S, Horn H, Hofle O, Wiest R, et al. Cortico-cortical white matter motor pathway microstructure is related to psychomotor retardation in major depressive disorder. PLoS One. 2012; 7: e52238. pmid:23284950
  77. 77. Medeiros LF, de Souza IC, Vidor LP, de Souza A, Deitos A, Volz MS, et al. Neurobiological effects of transcranial direct current stimulation: a review. Front Psychiatry. 2012; 3: 110. pmid:23293607
  78. 78. Kuo MF, Paulus W, Nitsche MA. Boosting focally-induced brain plasticity by dopamine. Cereb Cortex. 2008; 18: 648–651. pmid:17591596
  79. 79. Monte-Silva K, Liebetanz D, Grundey J, Paulus W, Nitsche MA. Dosage-dependent non-linear effect of L-dopa on human motor cortex plasticity. J Physiol. 2010; 588: 3415–3424. pmid:20660568
  80. 80. Nitsche MA, Kuo MF, Grosch J, Bergner C, Monte-Silva K, Paulus W. D1-receptor impact on neuroplasticity in humans. J Neurosci. 2009; 29: 2648–2653. pmid:19244540
  81. 81. Diamond ME, von Heimendahl M, Knutsen PM, Kleinfeld D, Ahissar E. ‘Where’ and ‘what’ in the whisker sensorimotor system. Nat Rev Neurosci. 2008; 9: 601–612. pmid:18641667
  82. 82. Petreanu L, Gutnisky DA, Huber D, Xu NL, O’Connor DH, Tian L, et al. Activity in motor-sensory projections reveals distributed coding in somatosensation. Nature. 2012; 489: 299–303. pmid:22922646
  83. 83. Xu NL, Harnett MT, Williams SR, Huber D, O’Connor DH, Svoboda K, et al. Nonlinear dendritic integration of sensory and motor input during an active sensing task. Nature. 2012; 492: 247–251. pmid:23143335
  84. 84. Lee S, Kruglikov I, Huang ZJ, Fishell G, Rudy B. A disinhibitory circuit mediates motor integration in the somatosensory cortex. Nat Neurosci. 2013; 16: 1662–1670. pmid:24097044
  85. 85. Rudy B, Fishell G, Lee S, Hjerling-Leffler J. Three groups of interneurons account for nearly 100% of neocortical GABAergic neurons. Dev Neurobiol. 2011; 71: 45–61. pmid:21154909
  86. 86. Lee S, Hjerling-Leffler J, Zagha E, Fishell G, Rudy B. The largest group of superficial neocortical GABAergic interneurons expresses ionotropic serotonin receptors. J Neurosci. 2010; 30: 16796–16808. pmid:21159951
  87. 87. Samii A, Wassermann EM, Ikoma K, Mercuri B, Hallett M. Characterization of postexercise facilitation and depression of motor evoked potentials to transcranial magnetic stimulation. Neurology. 1996; 46: 1376–1382. pmid:8628485
  88. 88. Monte-Silva K, Kuo MF, Hessenthaler S, Fresnoza S, Liebetanz D, Paulus W, et al. Induction of late LTP-like plasticity in the human motor cortex by repeated non-invasive brain stimulation. Brain Stimul. 2013; 6: 424–432. pmid:22695026
  89. 89. Aroniadou VA, Keller A. Mechanisms of LTP induction in rat motor cortex in vitro. Cereb Cortex. 1995; 5: 353–362. pmid:7580127
  90. 90. Castro-Alamancos MA, Donoghue JP, Connors BW. Different forms of synaptic plasticity in somatosensory and motor areas of the neocortex. J Neurosci. 1995; 15: 5324–5333. pmid:7623155
  91. 91. Kirkwood A, Dudek SM, Gold JT, Aizenman CD, Bear MF. Common forms of synaptic plasticity in the hippocampus and neocortex in vitro. Science. 1993; 260: 1518–1521. pmid:8502997
  92. 92. Schabrun SM, Jones E, Kloster J, Hodges PW. Temporal association between changes in primary sensory cortex and corticomotor output during muscle pain. Neuroscience. 2013; 235: 159–164. pmid:23357117
  93. 93. Schabrun SM, Hodges PW. Muscle pain differentially modulates short interval intracortical inhibition and intracortical facilitation in primary motor cortex. J Pain. 2012; 13: 187–194. pmid:22227117
  94. 94. Le Pera D, Graven-Nielsen T, Valeriani M, Oliviero A, Di Lazzaro V, Tonali PA, et al. Inhibition of motor system excitability at cortical and spinal level by tonic muscle pain. Clin Neurophysiol. 2001; 112: 1633–1641. pmid:11514246
  95. 95. Svensson P, Miles TS, McKay D, Ridding MC. Suppression of motor evoked potentials in a hand muscle following prolonged painful stimulation. Eur J Pain. 2003; 7: 55–62. pmid:12527318
  96. 96. Martin PG, Weerakkody N, Gandevia SC, Taylor JL. Group III and IV muscle afferents differentially affect the motor cortex and motoneurones in humans. J Physiol. 2008; 586: 1277–1289. pmid:17884925
  97. 97. Tsao H, Tucker KJ, Hodges PW. Changes in excitability of corticomotor inputs to the trunk muscles during experimentally-induced acute low back pain. Neuroscience. 2011; 181: 127–133. pmid:21333720
  98. 98. Jones EG, Coulter JD, Hendry SH. Intracortical connectivity of architectonic fields in the somatic sensory, motor and parietal cortex of monkeys. J Comp Neurol. 1978; 181: 291–347. pmid:99458
  99. 99. Vaseghi B, Zoghi M, Jaberzadeh S. Does anodal transcranial direct current stimulation modulate sensory perception and pain? A meta-analysis study. Clin Neurophysiol. 2014. pmid:25631611
  100. 100. Antal A, Brepohl N, Poreisz C, Boros K, Csifcsak G, Paulus W. Transcranial direct current stimulation over somatosensory cortex decreases experimentally induced acute pain perception. Clin J Pain. 2008; 24: 56–63. pmid:18180638
  101. 101. Craig AD, Chen K, Bandy D, Reiman EM. Thermosensory activation of insular cortex. Nat Neurosci. 2000; 3: 184–190. pmid:10649575
  102. 102. DaSilva AF, Volz MS, Bikson M, Fregni F. Electrode positioning and montage in transcranial direct current stimulation. J Vis Exp. 2011. pmid:22439017
  103. 103. Mesulam MM, Mufson EJ. Insula of the old world monkey. III: Efferent cortical output and comments on function. J Comp Neurol. 1982; 212: 38–52. pmid:7174907
  104. 104. Fregni F, Pascual-Leone A. Technology insight: noninvasive brain stimulation in neurology-perspectives on the therapeutic potential of rTMS and tDCS. Nat Clin Pract Neurol. 2007; 3: 383–393. pmid:17611487
  105. 105. Wood L, Egger M, Gluud LL, Schulz KF, Juni P, Altman DG, et al. Empirical evidence of bias in treatment effect estimates in controlled trials with different interventions and outcomes: meta-epidemiological study. Bmj. 2008; 336: 601–605. pmid:18316340
  106. 106. O’Connell NE, Cossar J, Marston L, Wand BM, Bunce D, Moseley GL, et al. Rethinking clinical trials of transcranial direct current stimulation: participant and assessor blinding is inadequate at intensities of 2mA. PLoS One. 2012; 7: e47514. pmid:23082174
  107. 107. Ohara S, Weiss N, Lenz FA. Microstimulation in the region of the human thalamic principal somatic sensory nucleus evokes sensations like those of mechanical stimulation and movement. J Neurophysiol. 2004; 91: 736–745. pmid:14573561
  108. 108. Stieglitz T. Diameter-dependent excitation of peripheral nerve fibers by multipolar electrodes during electrical stimulation. Expert Rev Med Devices. 2005; 2: 149–152. pmid:16293051
  109. 109. Knops A, Nuerk HC, Sparing R, Foltys H, Willmes K. On the functional role of human parietal cortex in number processing: How gender mediates the impact of a ‘virtual lesion’ induced by rTMS. Neuropsychologia. 2006; 44: 2270–2283. pmid:16828812
  110. 110. Boggio PS, Rocha RR, da Silva MT, Fregni F. Differential modulatory effects of transcranial direct current stimulation on a facial expression go-no-go task in males and females. Neurosci Lett. 2008; 447: 101–105. pmid:18926878
  111. 111. Chaieb L, Antal A, Paulus W. Gender-specific modulation of short-term neuroplasticity in the visual cortex induced by transcranial direct current stimulation. Vis Neurosci. 2008; 25: 77–81. pmid:18282312