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Noninvasive transcranial brain stimulation in central post-stroke pain: A systematic review

  • Rita Sotto Mayor ORCID logo EMAIL logo , Natália R. Ferreira ORCID logo , Camile Lanzaro ORCID logo , Miguel Castelo-Branco ORCID logo , Ana Valentim ORCID logo , Helena Donato ORCID logo and Teresa Lapa ORCID logo
Published/Copyright: July 3, 2024
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Abstract

Background

The aim of this systematic review is to analyze the efficacy of noninvasive brain stimulation (NBS) in the treatment of central post-stroke pain (CPSP).

Methods

We included randomized controlled trials testing the efficacy of transcranial magnetic stimulation (TMS) or transcranial direct current stimulation versus placebo or other usual therapy in patients with CPSP. Articles in English, Portuguese, Spanish, Italian, and French were included. A bibliographic search was independently conducted on June 1, 2022, by two authors, using the databases MEDLINE (PubMed), Embase (Elsevier), Cochrane Central Register of Controlled Trials (CENTRAL), Scopus, and Web of Science Core Collection. The risk of bias was assessed using the second version of the Cochrane risk of bias (RoB 2) tool and the certainty of the evidence was evaluated through Grading of Recommendations Assessment, Development and Evaluation.

Results

A total of 2,674 records were identified after removing duplicates, of which 5 eligible studies were included, involving a total of 119 patients. All five studies evaluated repetitive TMS, four of which stimulated the primary motor cortex (M1) and one stimulated the premotor/dorsolateral prefrontal cortex. Only the former one reported a significant pain reduction in the short term, while the latter one was interrupted due to a consistent lack of analgesic effect.

Conclusion

NBS in the M1 area seems to be effective in reducing short-term pain; however, more high-quality homogeneous studies, with long-term follow-up, are required to determine the efficacy of this treatment in CSPS.

1 Introduction

Chronic pain is one of the most common complaints in adult patients who seek medical care and is associated with the limitation of physical activity, suffering, opioid dependence, and substantial economic impact [1]. Chronic pain syndromes are common in stroke survivors, affecting more than 1 in 10 patients, with the majority occurring in the first month post-stroke [2]. Central post-stroke pain (CPSP) is a neuropathic pain syndrome that results either acutely or in the chronic phase of a cerebrovascular event and it is a result of lesions at any level of the somatosensory tract of the brain, including the medulla, thalamus, and cerebral cortex [3]. Hyperalgesia and allodynia are predominant characteristics of neuropathic pain resulting from lesion or disease of the somatosensory nervous system and are the main targets of the CPSP treatment.

The pathophysiological mechanisms involved in CPSP are complex, multifaceted, and poorly understood. Some theories have been proposed, such as central imbalance, central sensitization, central disinhibition, other thalamic adaptive changes, and local inflammatory responses [4]. In addition, the coexistence of psychological factors, which is associated with the vast number of central mechanisms, makes CPSP treatment a complex challenge [5]. Various studies using neuroimaging, such as positron emission tomography (PET) [6,7] and functional magnetic resonance imaging (fMRI) [8,9], were conducted to investigate post-stroke neural network activation and connectivity changes. Both ipsilateral and contralateral changes were observed, but a strong association between ipsilateral activation of motor cortex and motor recovery was found [10]. By contrast, fMRI overactivity of the contralesional motor cortex in the chronic phase was associated with poor recovery and, for this reason, the interhemispheric inhibition theory, which postulates imbalanced neural excitation and inhibition, was proposed to explain sustained motor and somatosensorial symptoms in post-stroke patients [11,12]. Additionally, limbic structures are associated with the affective part of the pain circuit and can also be affected in CPSP [13]. Kim et al. [14] identified, through lesion network mapping, that lesions causing CPSP are related to a specific brain network associated with metabolic changes, which could be clinically important for neuromodulation therapies. They identified twelve neuromodulation targets, of all of them ipsilateral M1 had the best evidence of efficacy and they extended into S1 and the superior parietal lobe, regions linked with sensation or attentional modulation of sensory perception. They also verified prospectively that transcranial magnetic stimulation (TMS) targeting the sensorimotor cluster of their pain network improved pain scores in seven patients with CPSP, which shows that treatments focusing S1 and M1 at the same time could be better than these regions isolated [14].

The management of CPSP includes pharmacological and non-pharmacological treatment. However, in practice, and in spite of the available options, central pain is difficult to treat, being a source of suffering for patients and a constant challenge for the physician [5].

Noninvasive brain stimulation (NBS) has emerged as a promising approach for managing various pain disorders, including neuropathic pain, visceral pain, and migraine. Among the techniques employed in NBS, TMS stands out as the most commonly utilized, followed by transcranial direct current stimulation (tDCS) [15].

In TMS, magnetic pulses are administered via a coil placed on the scalp. These pulses, through electromagnetic induction, generate currents and electric fields (E-fields) within the cortex. Depending on the intended outcome, TMS can be delivered as single pulses or in repetitive trains. Single pulse TMS is used to investigate brain function, while repetitive TMS (rTMS) is employed to induce lasting alterations in brain activity beyond the stimulation period [16,17].

TMS pulses reliably depolarize neurons when the strength of the magnetic pulses and consequent induced current and E-field exceed the threshold value of cortical neurons. Notably, rTMS applied over the motor cortex induces sustained changes in motor-evoked potentials (MEP) amplitudes that persist post-stimulation. These changes are determined by the frequency of rTMS: high frequency (HF) (>5 Hz, typically 10–20 Hz in clinical practice) activates the targeted neural network, while low frequency (<1 Hz) deactivates it, akin to long-term potentiation (LTP) or long-term depression effects [16,17]. Beyond the frequency employed, the orientation of the coil, the type of coil, the number of sessions, and the intensity influence the stimulation effect [18].

Transcranial electric stimulation techniques involve the application of current to two or more surface electrodes, with one electrode at least placed on the scalp, and they are used mostly at the subthreshold level. There are countless electric stimulation patterns with different frequencies, intensities, and durations; the simplest approach is tDCS, which has the low end of the frequency spectrum. tDCS drives to a polarization of neuronal membranes. A surface anode hyperpolarizes the superficial layers and depolarizes layer 5, by increasing pyramidal tract neuronal firing rate, and vice versa with cathode stimulation. Generally, at rest, anodal stimulation conducts to excitation quantify commonly in MEP increase after tDCS, while cathodal stimulation leads to inhibition [19].

Clinically, tDCS is a portable, low-cost, and well-tolerated non-invasive neuromodulatory technique, which gave rise to hundreds of published human studies to potentially treat several neurologic and psychiatric disorders, even intractable chronic pain. On the other hand, no corporation leads to tDCS development, and studies are so heterogeneous that clinicians might have difficulties evaluating its benefits and therapeutic conditions. Fregni et al. [20] summarized recommendations on tDCS efficacy/safety according to clinical indication in nine disorders, including neuropathic pain, fibromyalgia, migraine, and postoperative acute pain.

Over the years, the literature has demonstrated the efficacy of TMS in chronic pain and, for that reason, in recent recommendations, TMS of the primary motor cortex contralateral to the pain area is indicated as an effective therapeutic option, with level of evidence A for neuropathic pain [21,22]. Severe adverse effects such as seizures are extremely rare with these treatments [23].

In cases of refractory CPSP, NBS therapy such as rTMS or tDCS can be recommended [3,4]. Considering the preliminary evidence of the efficacy and safety of TMS for treating some types of pain, multiple authors recognize the importance of a greater investment in developing TMS procedures in this context [24].

2 Objectives

The aim of this systematic review is to analyze the efficacy of NBS (TMS and tDCS) in the treatment of CPSP.

3 Methods

This systematic review is reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guideline 2020 statement. Institutional review board and informed consent were not relevant for this systematic review because it relied on published information.

3.1 Eligibility criteria

The eligibility criteria followed the PICO [25] model:

  1. Population (P): Individuals over 18 years who were diagnosed with CPSP, characterized by pain and sensory abnormalities in the body parts that correspond to the brain territory that has been injured by the cerebrovascular lesion, regardless of the pain intensity.

  2. Intervention (I): TMS and/or tDCS. Any stimulation protocol will be included regardless of the number of sessions, stimulus intensity, duration, frequency, and anatomical location.

  3. Comparison (C): Placebo or any therapy used in post-stroke pain management.

  4. Outcome (O): Primary outcomes were the effect of noninvasive transcranial brain stimulation on pain intensity, life quality, and functional limitation. Secondary outcomes were the occurrence of adverse effects, the need to use SOS therapy, and the patient’s psychological state.

  5. Type of study: Randomized controlled trials (RCTs).

3.2 Information sources and search strategy

This systematic review was registered on the PROSPERO database under the protocol CRD42022328822 and reported according to the recommendations of the PRISMA 2020 statement [26].

The search strategy was guided by a professional post-graduated in Documentary Sciences (HD) with extensive experience in systematic searches for systematic reviews. We searched for published studies in MEDLINE (PubMed), Embase (Elsevier), Cochrane Central Register of Controlled Trials (CENTRAL), Scopus, and Web of Science Core Collection. All searches are current as of June 1, 2022. The search strategy included the terms and all of their variants in multiple combinations adapted to each one of the databases regarding its own special requirements as shown in Table 1. Articles written in English, Portuguese, Spanish, Italian, and French were included. No restrictions on the region or year of publication were established. We also manually scanned the reference lists of relevant systematic reviews and included articles in this study, for potentially eligible studies.

Table 1

Database and search strategies

Cochrane #1 MeSH descriptor: [Stroke] explode all trees and with qualifier(s): [complications – CO]
#2 (“Cerebrovascular Accident” OR “Thalamic Pain” OR “Central Pain” OR “Central Neuropathic Pain” OR “Central Post-stroke Pain” OR “Central Poststroke Pain”):ti,ab,kw (Word variations have been searched)
#3 #1 OR #2
#4 MeSH descriptor: [Transcranial Magnetic Stimulation] explode all trees
#5 (TMS OR “Transcranial Magnetic Stimulation”):ti,ab,kw (Word variations have been searched)
#6 #4 OR #5
#7 MeSH descriptor: [Transcranial Direct Current Stimulation] explode all trees
#8 (“Transcranial Direct Current Stimulation” OR tDCS):ti,ab,kw (Word variations have been searched)
#9 #7 OR #8
#10 #6 OR #9
#11 #3 AND #10
Embase (“Stroke/complications”:ab,ti OR “Cerebrovascular Accident”:ab,ti OR “Thalamic Pain”:ab,ti OR “Central Pain”:ab,ti OR “Central Neuropathic Pain”:ab,ti OR “Central Post-stroke Pain”:ab,ti OR “Central Poststroke Pain”:ab,ti) AND (‘transcranial magnetic stimulation’/exp OR “Transcranial Magnetic Stimulation”:ab,ti OR TMS:ab,ti OR ‘transcranial direct current stimulation’/exp OR “Transcranial Direct Current Stimulation”:ab,ti OR tDCS:ab,ti)
MEDLINE (PubMed) (Stroke/complications[mh] OR Cerebrovascular Accident[tiab] OR Thalamic Pain[tiab] OR Central Pain[tiab] OR Central Neuropathic Pain[tiab] OR Central Post-stroke Pain[tiab] OR Central Poststroke Pain[tiab]) AND (Transcranial Magnetic Stimulation[mh] OR Transcranial Magnetic Stimulation[tiab] OR TMS[tiab] OR Transcranial Direct Current Stimulation[mh] OR Transcranial Direct Current Stimulation[tiab] OR tDCS[tiab])
Scopus (TITLE-ABS-KEY (“Stroke/complications” OR “Cerebrovascular Accident” OR “Thalamic Pain” OR “Central Pain” OR “Central Neuropathic Pain” OR “Central Post-stroke Pain” OR “Central Poststroke Pain”) AND TITLE-ABS-KEY (“Transcranial Magnetic Stimulation” OR tms OR “Transcranial Direct Current Stimulation” OR tdcs))
Web of Science (“Stroke/complications” OR “Cerebrovascular Accident” OR “Thalamic Pain” OR “Central Pain” OR “Central Neuropathic Pain” OR “Central Post-stroke Pain” OR “Central Poststroke Pain”) AND (“Transcranial Magnetic Stimulation” OR TMS OR “Transcranial Direct Current Stimulation” OR tDCS)

The references from different databases were imported into the EndNote Web reference manager (EndNote™), and the duplicated reports were automatically removed. Following this, we performed a manual search for any duplicate record that was not removed automatically.

3.3 Selection process

Two authors (RSM and NF) independently screened the titles and abstracts, and the relevant articles were selected for a full reading. The articles whose titles and abstracts did not provide enough information were also included for further examination. Studies from this initial screening were subsequently read in full by both authors, and articles that fulfilled the eligibility criteria were included in this review.

During the first two phases, the two authors compared their selected articles. In case of disagreement, an evaluation by a third author (CL) was performed and the study was discussed between the three authors until a consensus was found.

3.4 Assessment of bias risk

Each article included in this review was evaluated with version 2 of the Cochrane risk of bias tool for randomized trials (RoB 2.0) [27]. This tool evaluates the following five domains: randomization process, deviations from intended interventions, missing outcome data, measurement of the outcome, and selection of the reported result. The randomized cross-over trials were also evaluated for the risk of bias arising from the period and carryover effects (domain S).

This assessment was carried out by the two authors (RSM and NF) independently and compared with each other. In case of disagreement, a third author (CL) also analyzed and discussed in the group, reaching a consensus.

The strength of the evidence of the included studies was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) tool.

3.5 Data extraction and synthesis

The following data were extracted from the included articles: study title, authors, date of publication, study site, number of participants and respective characteristics, diagnostic criteria, intervention protocol, control group (if applicable), and outcomes (primary and secondary).

Data were independently extracted by the two authors (RSM and NRF) and compared. Similar to the previous steps, a third author (CL) was consulted in case of controversy.

A narrative synthesis was performed for study characteristics and outcomes. No meta-analysis was conducted due to lack of homogeneity.

4 Results

4.1 Study selection

The literature search resulted in 3,943 articles. The automatic removal of duplicates resulted in 2,958 articles, which were manually analyzed by the two authors, obtaining a total of 2,674 articles eligible for this review.

After the first selection, based on titles and abstracts, 25 articles were selected and their full texts were read by the two authors (RSM and NRF). Most of the articles were excluded due to the study design and included other forms of neuropathic pain, besides CPSP. In these cases, when was not possible to extract the data of post-stroke pain separately, the article was excluded.

Only one RCT assessing the effectiveness of tDCS was found; however, due to inappropriately analyzed data, the authors opted not to include it in this paper [28].

A total of five articles were deemed suitable for this review. The selection scheme (flow chart) for this systematic review is shown in Figure 1.

Figure 1 
                  PRISMA flow chart.
Figure 1

PRISMA flow chart.

4.2 Risk of bias assessment

Figure 2 shows a summary of the risk of bias assessment of the included articles, evaluated with the RoB 2.0 tool. All of the studies showed a low risk of bias concerning missing outcome data, deviation from intended interventions, and selection of the reported result. Overall, the risk of bias due to the measurement of outcome was low. The randomization process was revealed to be a high risk of bias in two of the five articles, due to the non-concealed allocation sequence until participants were enrolled and assigned to interventions. The crossover studies showed low risk when carryover effects were analyzed.

Figure 2 
                  Risk of bias (RoB 2.0) of the included studies.
Figure 2

Risk of bias (RoB 2.0) of the included studies.

Regarding the strength of evidence overall classification, the GRADE tool demonstrated a low quality of evidence for rTMS studies (Table 2).

Table 2

Quality of evidence of non-invasive neuromodulation for the treatment of Central Poststroke Pain

Certainty assessment Summary of findings
No of participants (studies) Risk of bias Inconsistency Indirectness Imprecision Publication bias Overall certainty of evidence
rTMS (5 RCTs), active group, N = 75, sham group, N = 67 Seriousa Not serious Not serious Seriousb All plausible residual confounding would suggest spurious effect, while no effect was observed ⨁⨁◯◯ low rTMS is a promising approach for the treatment of poststroke pain.

⨁⨁◯◯ represents that the classification has obtained in the evaluated categories (risk of bias, inconsistency, indirectness, imprecision). ⨁⨁ represents categories without serious compromise of study quality (indirectness, imprecision), while ◯◯ represents categories that may negatively influence the quality of evidence (risk of bias, inconsistency).

aThe item risk of bias received a downgrade due to the major of studies did not perform Allocation concealment properly.

bThe item imprecision received a downgrade because patients available for this analysis do not therefore meet the IOS criterion.

4.3 Study characteristics

To study the relation between NBS and the primary and secondary outcomes established, we included 5 studies, with a total of 119 patients with CPSP, represented in Table 3. The number of patients according to gender was balanced, with slightly more men participating (55 females and 64 males) and the mean age ranged from 48.95 to 56.33.

Table 3

Study characteristics

Study Year Sample size (male/female) Age (M ± SD, years) Mean duration of pain (M ± SD) Comparator Pain outcomes
De Oliveira et al. [33] 2014 21 (11/10) 56.33 ± 10.59 57.4 ± 40.24 months Sham treatment Pain intensity, quality of life, functional limitation
Khedr et al. [29] 2005 24 (14/10) 52.3 ± 10.3 18 ± 17 months Sham treatment Pain intensity
Ojala et al. [32] 2021 17 (8/9) 55.8 ± 7.1 5.6 ± 3.2 years Different sequences of treatment Pain intensity, quality of life
Quesada et al. [30] 2020 19 (10/9) 56.2 ± 13.6 Not reported Different sequences of treatment Pain intensity
Zhao et al. [31] 2021 38 (21/17) 48.95 ± 11.5 sham-rTMS 6.47 ± 12.57 months sham-rTMS Sham treatment Pain intensity
50.16 ± 11.3 rTMS 6.00 ± 3.07 months rTMS

rTMS, repetitive transcranial magnetic stimulation.

All the five studies evaluated the effectiveness of TMS in patients with CPSP. Khedr et al. [29], Quesada et al. [30], and Zhao et al. [31] performed TMS over M1 contralateral to the side of the pain, while Ojala et al. [32] applied TMS targeted to M1 and secondary somatosensory cortices (S2), as well as sham stimulation, also on the contralateral side to the patient’s pain. De Oliveira et al. [33] evaluated the effectiveness of TMS applied on the left premotor cortex/dorsolateral prefrontal cortex.

The frequency, number of pulses, pulses per train, and inter-train interval varied considerably between these studies. The protocol utilized by De Oliveira et al. [33] encompassed ten daily sessions (except on weekends), in each of which 25 series of 5-s pulses of 10 Hz, with an interval of 25 s between each train, were applied, totaling 1,250 pulses per session. In Khedr et al. [29], the treatment took place over 5 consecutive days, with a train of rTMS (200 pulses at 20 Hz, total duration of 10 s) being used once per minute for 10 min each day. Zhao et al. [31] study was the longest-duration study, in which patients received stimulation once a day, 6 days a week, for 3 weeks, totaling 18 sessions. Throughout each session were performed trains of 15 pulses at 10 Hz (1.5 s), with intertrain intervals of 3 s (total of 1,500 pulses per session).

Contrary to the three mentioned studies (parallel), the studies conducted by Quesada et al. [30] and Ojala et al. [32] were crossover. The former included 2 phases of stimulation: active and sham, with a wash-out period of 8 weeks. Each phase included 4 sessions of rTMS, with an inter-session interval of 3 weeks. Each session comprised 20 consecutive trains of 80 pulses delivered at 20 Hz, separated by an inter-train interval of 84 s, resulting in a total of 1,600 pulses administered over a 27-min session. The latter consisted of a 2-sequence, 3-period, 3-treatment study (primary motor [M1], secondary somatosensory cortices [S2], and sham stimulation), with a wash-out period of at least 1 month. Each target was stimulated at 10 Hz during a 50-min period, every working day for 2 weeks, with a total of 10 sessions per target and 5,050 pulses per session.

The intensity used in the studies of Khedr et al. [29], Quesada et al. [30], and Zhao et al. [31] studies was 80% of the resting motor threshold (RMT), while the intensity used in the studies of Ojala et al. [32] and De Oliveira et al. [33] was 90% and 120%, respectively. However, in some cases, the motor threshold could not be measured. In the situations where this occurred, Quesada et al. [30] set the stimulation intensity to 45% of the maximum stimulator output, while Zhao et al. [31] applied an intensity of 100% in the unaffected hemisphere.

TMS sessions were assisted by an MRI-guided neuronavigated system in three of the studies [3032].

4.4 Primary outcomes

As mentioned earlier, the primary outcomes defined for this review were pain intensity, life quality, and functional limitation (Table 4).

Table 4

Primary outcomes

Study Groups Stimulation site Protocol Follow-up Results
De Oliveira et al. [33] Group rTMS n = 11Group shamn = 10Parallel Left PMC/DLPMC rTMS10 Hz, 120% RMT, 1,250 pulses/session. 25 series of 5 s pulses with an interval of 25 s between each trainTen daily sessions After the 5th day, and the 10th day of rTMS sessions and at 1 week, 2 weeks, and 4 weeks after the last treatment session. No differences in VAS were observed between the groups at the different time points along the study (Cohen’s d = 0.04). Quality of life and functional limitations did not show significant changes after treatment.
Khedr et al. [29] Group rTMS n = 14Group shamn = 10Parallel M1 - hand area of the painful side rTMS20 Hz, 80% RMT, 2,000 pulses/session, included a 10 × 10 s train of pulses, for 10 minFive daily sessions After the first, fourth, and fifth sessions, and 2 weeks after the last session. Pain intensity: a two-factor ANOVA revealed a significant “r-TMS” × “time” (VAS F(1.6,34.4) = 26.6, p = 0.001). Post hoc testing showed a significant decrease in pain ratings at all time points after real rTMS compared with baseline (p = 0.05)
Ojala et al. [32] Group A:(M1–sham–S2) n = 10Group B: (sham–S2–M1) n = 7Cross-over M1 and S2 Navigated rTMS10 Hz, 90% RMT, 5,050 pulses/session. Trains of 101 pulses: 10 s stimulation with a 50 s intertrain interval, 50 min per sessionTen sessions per target Once per day for two weeks after each stimulation period, immediately before and after each nrTMS session, and 1 month after each nrTMS treatment. Short-term pain intensity: two factor ANOVA revealed a main effect of “time” (p = 0.047), with no significant difference between the treatments (“treatment” × “time,” p = 0.92). 1 month: treatment effects differed significantly (“treatment” × “time,” p = 0.040), the post hoc test revealed that the pain intensity was significantly lower after S2 stimulation than at baseline (p = 0.042).Quality of life and functional limitations did not show significant changes after treatment with nrTMS.
Quesada et al. [30] Group rTMS n = 19Group shamn = 19Cross-over M1 - hand (knob) area, contralateral to patient’s pain Navigated rTMS20 Hz, 80% RMT, 1,600 pulses/session.Trains of 80 pulses with inter-train interval of 84 s, 27 min per sessionFour sessions 3 weeks after the last rTMS session of each phase. The percentage of pain relief was significantly (p = 0.02, d = 0.66) higher in the active phase than in the sham.
Zhao et al. [31] Group rTMSn = 19Group shamn = 19Parallel M1 - painful area Navigated rTMS10 Hz, 80% RMT, 1,500 pulses/sessionTrains of 15 pulses (1.5 s), with intertrain intervals of 3 sEighteen sessions 3 days, 1 week, 2 weeks, and 3 weeks after the last rTMS session Pain intensity: the interaction between time and intervention was significant (p = 0.001, η 2 = 0.551). The NRS score in the rTMS group was significantly lower than in the sham group on the seventh day (p = 0.001, Cohen’s d = 1.302), and this effect lasted until the third week (p = 0.001, Cohen’s d = 0.860). The within-subject effects in the rTMS group were significant (p = 0.001, η 2 = 0.664), on the third day after the intervention (p = 0.073, Cohen’s d = 0.694), seventh day (p = 0.001, Cohen’s d = 1.906) and 3 weeks after the intervention (p = 0.001, Cohen’s d = 1.289). There were no significant within-subject effects in the sham group (p = 0.301, η 2 = 0.065).

M1, primary motor area; rTMS, repetitive transcranial magnetic stimulation; PMC/DLPFC, premotor cortex/dorsolateral prefrontal cortex; RMT, resting motor threshold; S2, secondary somatosensory cortex.

De Oliveira et al. [33] assessed pain intensity and quality of life/functional limitation, using VAS and the MOS 36-Item Short-Form Health Survey (SF-36), respectively, at baseline (D0), after the 5th day (D5) and the 10th day (D10) of rTMS sessions, and at 1 week (W1), 2 weeks (W2), and 4 weeks (W4) after the last treatment session. An interim analysis showed a lack of effect of both treatments on VAS at D10 (primary outcome), compared to the baseline value, and the study was terminated. No differences in VAS and SF-36 were observed between the groups at the different time points along the study and a very small effect size was observed, with a Cohen’s d of 0.04.

In the Khedr et al. [29] study, pain intensity assessment (VAS) was carried out before the treatment started, after the first, fourth, and fifth sessions, and 2 weeks after the last session. The two-way repeated measures analysis of variance (ANOVA) demonstrated a significant interaction between “time” and “rTMS” (VAS, F(1.6,34.4) = 26.6, p = 0.001). The post hoc showed a significant decrease in pain ratings at all time points compared with the baseline in real-rTMS. In the sham-rTMS, there was a small decrease in the patient’s VAS scores after the fourth and fifth sessions and at 2 weeks after completion of the treatment. The percentage of pain reduction was classified into three categories: good (reduction of pain score by >70%), satisfactory (reduction of pain score by 40–69%), and poor (reduction of pain score by <40%). After the fifth session, 21.4% of the rTMS group was classified as poor, 71.4% as satisfactory, and 7.2% as good. In contrast, the sham-rTMS group showed different results, with 90% classified as poor, 10% as satisfactory, and 0% as good. 2 weeks after the last session. 2 weeks after the last session, the results were similar: in the rTMS group, 35.7% were classified as poor, 50% as satisfactory, and 14.3% as good, while in the sham-rTMS group, 100% were classified as poor. Life quality and functional limitation were not evaluated.

Ojala et al. [32] evaluated pain intensity with the Numeric Rating Scale (NRS) once per day for a week before and 2 weeks after each stimulation period. During stimulation periods, pain intensity was assessed immediately before and after each nrTMS session. Functional limitation and quality of life were also assessed with Disabilities of the Arm, Shoulder, and Hand and Health-related quality of life questionnaire (EQ-5D-3L), respectively, 1 week before and 1 week after each treatment. The short-term primary outcome was defined by NRS immediately before the first stimulation, compared with NRS immediately after each stimulation, while the long-term primary outcome was defined by pain intensity reduction from baseline (the median NRS value of the week prior to nrTMS) to the 1-month follow-up. The authors demonstrated that all three treatments with rTMS promoted a reduction in the NRS score in the short term. The two-way repeated measures ANOVA revealed a main effect of “time” (p = 0.047), but with no significant interaction between “treatment” × “time” (p = 0.92). On the other hand, at the follow-up after 1 month of rTMS, there was a significant interaction between “treatment” × “time” (p = 0.040). The Friedman test did not show any carry-over effect (p = 0.65). The post hoc test revealed that pain intensity was significantly lower after S2-rTMS when compared to baseline (p = 0.042). The short-term/long-term responder (defined as having a percentage of pain relief of at least 30%) rate was 41%/6% for M1 stimulation, 41%/0% for sham stimulation, and 24%/18% for S2 stimulation, respectively. M1-rTMS and sham-rTMS showed no significant difference in NRS scores and quality of life and functional limitations did not show significant changes after treatment with rTMS.

In Quesada et al. [30] study, the percentage of pain relief (%3R, assessed after four consecutive rTMS sessions, relative to pain prior to the first rTMS session of each phase, using a continuous scale – 0% = no pain relief, 100% = full pain relief) was significantly higher (p = 0.02, Cohen’s d = 0.66) in the active phase than in the sham phase. Functional limitation and quality of life were not evaluated in this group of patients.

Zhao et al. [31] evaluated pain intensity using NRS before treatment (T0), on the third day (T1), after 1 week (T2), after 2 weeks (T3), and after 3 weeks (T4). The authors found a significant “time × treatment” interaction in pain intensity evaluated by NRS (p = 0.001, η 2 = 0.551). The post hoc evaluation showed a statistically significant difference between the active group and the sham group (NRS on the seventh day [p = 0.001, Cohen’s d = 1.302]), and this effect lasted until the third week (p = 0.001, Cohen’s d = 0.860). The active group demonstrated a significant decrease in pain intensity over time (p = 0.001, η 2 = 0.664). The pain intensity was lower on the seventh day (p = 0.001, Cohen’s d = 1.906) compared to the baseline and slightly increased in the following evaluation; however, the pre–post effects remained significant 3 weeks after the intervention (p = 0.001, Cohen’s d = 1.289). On the other hand, in the sham group, there was no significant reduction in pain intensity over time (p = 0.301, η 2 = 0.065). Life quality and functional limitation were not evaluated.

4.5 Secondary outcomes

As mentioned earlier, the secondary outcomes of this review are the occurrence of adverse effects, the need to use SOS therapy, and the patient’s psychological state. All studies reported no adverse effects or mild and transient effects during treatment.

De Oliveira et al. [33], Ojala et al. [32], and Zhao et al. [31] evaluated the effect of r-TMS on anxiety and depression. De Oliveira et al. [33] and Zhao et al. [31] used the Hamilton Anxiety Scale and Hamilton Rating Scale for Depression to assess these outcomes, while Ojala et al. [32] used the Pain Anxiety Symptoms Scale and the Beck Depression Inventory. Only Zhao et al. [31] showed a significant reduction in anxiety scores after 3 weeks of active r-TMS compared to baseline. No articles evaluated the use of on-demand therapy. The results of the secondary outcomes are described in Table 5.

Table 5

Secondary outcomes

Study Secondary outcomes: adverse effects; SOS therapy; psychological state
De Oliveira et al. [33] Three participants in the active group (27.3%) and one participant in the sham group (10%) experienced mild headaches. No other significant adverse effects were observed in either group. No significant difference was detected in the active group compared to the sham group for anxiety and depression scores.
Khedr et al. [29] No patient experienced adverse effects.
Ojala et al. [32] Adverse events throughout the study were mild and transient: headache (1 participant during M1, 4 during sham, 3 during S2), tiredness (2 M1, 2 sham, 3 S2), paresthesia (2 M1, 3 sham, 3 S2), transient increase in pain (2 M1, 2 sham, 3 S2), collapse (1 M1), increased spasticity (2 S2), and dizziness (1 S2).
Anxiety and depression scores did not change significantly after navigating rTMS treatments.
Quesada et al. [30] The incidence of adverse events was not significantly different between active rTMS and sham rTMS. One patient withdrew from the study due to exacerbation of pain during active rTMS.
Zhao et al. [31] No serious adverse effects were observed: three participants reported short periods of scalp numbness or facial muscle spasms during the active rTMS. The anxiety score in the active group showed a significant reduction after 3 weeks of treatment compared with baseline (p = 0.010, Cohen's d = 0.661). The depression score showed no significant reduction in the active group (p = 0.074, Cohen's d = 0.435). The sham group showed no significant difference in these outcomes. There was no difference between groups for anxiety and depression.

M1, primary motor area; rTMS, repetitive transcranial magnetic stimulation; S2, secondary somatosensory cortex.

Zhao et al. [31] also measured brain-derived neurotrophic factor (BDNF) as a secondary outcome. BDNF is a neurotrophic factor, which is related to neuronal plasticity and neuropathic pain. They found that serum BDNF levels raised significantly after 3 weeks of rTMS in CPSP patients (p < 0.001, Cohen’s d = −0.619) in contrast to the sham group (p = 0.079, Cohen´s d = 0.428).

5 Discussion

We performed a systematic review of the efficacy of NBS in the treatment of post-stroke pain, focusing on the two most common techniques: TMS and tDCS. Although a systematic review was published in 2019 [34], only three databases and articles from 2007 to 2018 were included, one out of six was a randomized controlled trial and only one was considered “good/excellent” in quality risk of bias assessment. Since NBS is an emerging therapy, new literature has been published in the last few years, including randomized controlled trials, which motivated the authors of this review to carry out a new systematic review in this field.

Recent evidence has shown that HF rTMS applied in the M1 area contralateral to the painful side is an effective treatment for peripheral neuropathic pain (Level A evidence) [22]. However, this systematic review reveals that there is still a scarcity of RCTs evaluating the effectiveness of NBS in post-stroke pain in the literature, despite an increase in the number of RCTs over the past 3 years. In comparison to the systematic review conducted by Ramger et al. [34] in 2019, this review includes three articles published between 2020 and 2021.

Only the study conducted by De Oliveira et al. [33] did not show a statistically significant reduction in pain intensity. De Oliveira et al. [33] stimulated the left PMC/DLPFC but terminated the study due to a lack of effect. The role of the DLPFC in pain modulation has been substantiated by numerous experimental and neuroimaging investigations. In fact, specific studies employing DLPFC rTMS in healthy individuals have illustrated that such stimulation induces relief from experimental thermal pain [35]. Taylor et al. [36] conducted a study with healthy volunteers, comparing the analgesic effects of DLPFC rTMS with and without naloxone in hot allodynia. The study demonstrated that naloxone pretreatment significantly abolished rTMS-induced analgesia. In addition, in the fMRI analysis, rTMS induced a reduction of BOLD signal response to painful stimuli across pain processing regions, including the midbrain and medulla. These initial findings suggest that left DLPFC rTMS elicits top-down opioidergic analgesia. Andrade et al. [37] investigated the contribution of N-methyl-d-aspartate (NMDA) glutamate receptors to DLPFC and M1 TMS in healthy individuals. The study revealed that ketamine injection, a noncompetitive NMDA antagonist, attenuated the analgesic effects of rTMS in healthy subjects. Notably, this effect was observed with both DLPFC and M1 stimulation, suggesting a shared pathway involving NMDA receptors for both types of stimulation. Furthermore, these findings suggest that an LTP-like phenomenon may underlie the effects of TMS. Despite the findings from studies involving healthy individuals, both the guidelines for the therapeutic use of TMS and the systematic reviews conducted by O’Connell et al. [38] and Jiang et al. [39] did not find evidence supporting the effectiveness of DLPFC rTMS in reducing pain intensity in chronic pain. De Oliveira et al. [33] suggested that disruption of somatosensory integrity in CPSP and other neuropathic pain conditions could potentially reduce rTMS-induced analgesia in this group of patients.

On the other hand, all of the TMS studies included in this review that stimulated the M1 area using HF demonstrated a statistically significant reduction in pain intensity [2931]. These results are consistent with the guideline for the therapeutic use of TMS, which provided Level A evidence for the treatment of peripheral neuropathic pain using HF M1 TMS. Additionally, they align with the findings of the systematic review conducted by O’Connell et al. [38] and Jiang et al. [39], who reported evidence showing that HF M1 rTMS may have short-term effects on chronic pain. Another critical consideration in NBS is the selection of the stimulation site for rTMS. In cases of peripheral neuropathic pain, it is established practice to apply M1 rTMS on the side contralateral to the pain. However, in post-stroke complications, it is advised to administer HF rTMS on the side of the lesion and low-frequency rTMS on the contralateral side of the lesion [14,40,41]. These localizations are based on the theory of interhemispheric inhibition dysregulation following a stroke. Under normal conditions without lesions, both hemispheres regulate each other’s cortical excitability via the corpus callosum pathway, maintaining a balanced bilateral interhemispheric excitability. However, following a stroke, this balance is disrupted, resulting in imbalanced interhemispheric inhibition. This imbalance leads to reduced cortical excitability in the injured hemisphere due to excessive suppression, while cortical excitability in the uninjured hemisphere is increased [40]. The study conducted by Kim et al. [14] identified the network of brain regions functionally connected to each lesion site and identified connections significantly associated with CPSP. The authors found that CPSP lesions exhibited stronger connectivity with bilateral M1, S1, and the occipital cortex compared to controls. Additionally, they demonstrated that patients with CPSP showed decreased glucose metabolism in the ipsilesional M1, ipsilesional S1, and contralesional occipital cortex. These findings support the notion that ipsilesional M1 rTMS is more closely aligned with the lesion-based pain network than other neuromodulation targets with less evidence of efficacy [14]. Among the articles analyzed, only Zhao et al. [31] clearly delineated that the stimulation targeted the M1 area of the injured hemisphere. Conversely, the remaining studies applied rTMS to the contralateral M1 in relation to the patient’s pain. Given that in CPSP, sensory abnormalities and pain typically manifest contralateral to the lesion in stroke, the chosen stimulation sites in the reviewed articles appear appropriate. However, it is essential to note that in cases of brainstem lesions, pain may affect the ipsilateral face [42]. Therefore, it is recommended that future articles provide a more detailed description of the precise site of rTMS application to enhance clarity and facilitate comparability across studies.

The study conducted by Ojala et al. [32] evaluated S2 rTMS, comparing it with M1 and sham stimulation. The authors observed that S2 rTMS significantly reduced the weekly average pain intensity, as well as the long-term pain intensity at 1 month, compared with baseline, while M1 rTMS and sham did not yield similar effects. However, no significant differences were found between the groups. Although Zhao et al. [31] suggest that S2 may represent a promising new target for rTMS, the data from this study are not conclusive for this new indication. This is because S2 rTMS did not demonstrate superiority over sham stimulation, and the study has limitations, such as its crossover design and a relatively small sample size. On the other hand, in the study conducted by Kim et al. [14], previously cited, it was found that the lesion-based pain network includes not only M1 but also extends beyond it, specifically into S1 and the superior parietal lobe. Consequently, the authors propose that since noxious stimuli undergo parallel processing in both S1 and M1, neuromodulation treatments targeting both regions simultaneously could potentially yield greater benefits than targeting either M1 or S1 alone.

Regarding rTMS protocols, there was no homogeneity between them. The stimulation frequency (10 or 20 Hz), the intensity used (80–90% of the RMT, except De Oliveira et al. [33] that used an intensity of 120% of the RMT), and the number of sessions (ranging from 4 sessions to 20 sessions) varied between studies and seems to not be associated with different efficacy or side effects occurrence. To date, the optimal protocol for rTMS in CPSP has yet to be established. However, based on existing scientific evidence regarding the effectiveness of rTMS in neuropathic pain, it has been observed that variations in the frequency of rTMS (5, 10, or 20 Hz) do not significantly influence the effectiveness of analgesia. Conversely, the number of sessions appears to have an impact on the effectiveness of analgesia and the duration of its effects. It is hypothesized that repeated rTMS sessions may have a cumulative effect on pain relief [15]. A team of French researchers released two articles presenting findings from the extended application of M1 rTMS in patients with central neuropathic pain, including CPSP. The initial phase of the protocol involved a series of four sessions conducted over 2 months. Subsequently, for participants exhibiting a pain relief percentage exceeding 10%, sessions were prolonged and administered at intervals tailored to the duration of the analgesic effect observed in each individual [43,44]. In the study conducted by Pommier et al. [44], it was observed that nine participants did not exhibit a response to the initial sessions, while the remaining 31 patients experienced a cumulative effect across sessions, resulting in an average pain relief of 41% over a span of 15.6 days. Furthermore, a correlation was identified between the degree of pain relief observed in the initial session and the long-term pain alleviation. The study by Quesada et al. [43] demonstrates similar results. Of the patients commencing treatment, 76% exhibited a response, with an average pain relief of 10%. Over the course of 12 months (15 sessions), a cumulative effect was observed, resulting in a notable increase in the percentage of average pain relief (48%) and the duration of symptom relief (20 days). This effect attained statistical significance after four sessions and persisted throughout the 12-month duration. In the studies included in this review that solely evaluated M1 rTMS, Zhao et al. [31] conducted the largest number of sessions (18 sessions), while Khedr et al. [29] and Quesada et al. [30] administered 5 and 4 sessions, respectively. Despite Zhao et al. [31] and Khedr et al. [29] observing a significant difference between real rTMS and sham rTMS in all follow-ups, a slight increase in pain scores was noted from the second follow-up week. Conversely, in the study by Quesada et al. [30] (with a 3-week follow-up), pain scores remained relatively stable. Although it was expected that Zhao et al. [31] results would demonstrate better stability based on the theory of cumulative effects of repeated rTMS sessions on pain relief. However, differences in pain intensity measurement tools, CPSP phase, and other protocol variations render comparisons among these studies of limited relevance. These findings underscore the significance of conducting studies with extended follow-up periods and the necessity for the development of open-label naturalistic studies that incorporate maintenance sessions. Such endeavors are crucial for establishing comprehensive guidelines for clinical practice.

Notably, Zhao et al. [31] was the sole study to include participants with acute CPSP. There is limited information available regarding the use of rTMS in the acute phase of CPSP. However, in the context of other comorbidities associated with stroke, the optimal timing for rTMS application has been extensively discussed, whether in the acute (subacute) or chronic phase. The utilization of rTMS in the acute phase of CPSP warrants further investigation. It is well-established that during the initial phase of stroke recovery, neurological recuperation occurs more rapidly. Therefore, seizing the opportunity for high-intensity interventions during this period could significantly benefit symptom recovery. For instance, the first 6 months post-stroke represent a critical window for patients to regain upper limb function. Failure to capitalize on this timeframe may result in lost opportunities for upper limb recovery, as subsequent rehabilitation efforts may have minimal impact on neurological improvement [40].

Zhao et al. [31] found that the analgesic effect of rTMS in CPSP patients was followed by increased secretion of BDNF and enhanced cortical excitability in the third week. There was a negative correlation between serum BDNF levels and pain scores, similar to previous studies with chronic myofascial pain syndrome and depression [45,46]. BDNF plays a crucial role in brain plasticity, facilitating the survival, differentiation, and maturation of neurons within the nervous system. In addition, it exhibits a neuroprotective effect in challenging conditions, such as neurotoxicity, cerebral ischemia, and hypoglycemia. Moreover, BDNF stimulates and regulates neurogenesis – the growth of new neurons from neural stem cells [47]. A systematic review conducted by Karantali et al. [48] revealed that BDNF levels were significantly lower in patients with stroke in comparison to healthy individuals. It is hypothesized that the level of BDNF could serve as an indirect indicator of the potential for improvement in stroke outcomes [47]. Therefore, the findings presented by Zhao et al. [31] may offer a novel perspective for the treatment of CPSP using rTMS. Further studies with long-term follow-up, particularly focusing on the acute phase of CPSP, are warranted to assess the true benefits of rTMS during the initial stages of stroke recovery.

A quantitative analysis was not feasible, due to the heterogeneity of the design of the studies and low sample size, which precluded random effects analyses.

Only one RCT assessing the effectiveness of tDCS was found; however, the authors chose not to include it in the review because they considered that the data were not properly analyzed [28]. Contrary to TMS, tDCS does not provide sufficient evidence of its efficacy in neuropathic pain and, for that reason, there are not any Level A or B recommendation for its use. A Level C recommendation is proposed for anodal tDCS of the left M1 (or contralateral to pain side, with right orbitofrontal cathode) in chronic lower limb neuropathic pain secondary to spinal cord lesion [49].

Concerning the quality of life and functional limitation, only two studies [32,33] evaluated them and did not show significant changes after treatment. All of the studies assess the occurrence of adverse effects, with no or mild and transient effects reported. Three of the studies [3133] evaluated the psychological state before and after the treatment, but no difference in anxiety and depression scores was observed. None of the articles evaluated the use of on-demand therapy.

Another noteworthy finding from the included studies is the proportion of individuals categorized as non-responders. In the study by Quesada et al. [30], 53% of the sample did not achieve a decrease in pain intensity of at least 10% compared to baseline, classifying them as non-responders. Similarly, Khedr et al. [29] identified 36% of individuals with a poor response, defined as a reduction in pain score by less than 40%. In the open-label studies conducted by Pommier et al. [44] and Quesada et al. [43], approximately 24% of participants were classified as non-responders, failing to attain an average pain relief of 10%. Currently, the adoption of precision medicine is advocated, emphasizing treatment tailored to individual patient needs, encompassing genetic, molecular, clinical, and psychosocial considerations. According to this approach, it is hypothesized that the challenge in determining treatment effectiveness for chronic pain conditions may stem from the heterogeneity observed among patients sharing the same diagnosis. Consequently, there is a call for the stratification of patient subgroups with similar characteristics (clustering). By assessing these inter-subject variabilities, it becomes possible to identify subgroups more likely to respond favorably to a specific intervention (prediction) [50]. Some fMRI studies have indicated a relationship between the efficacy of rTMS and the integrity of the corticospinal tract and thalamocortical tract. One study demonstrated a significant correlation between the integrity of the superior thalamocortical tract in the ipsilesional hemisphere and the change in VAS score following rTMS. Additionally, fMRI revealed significantly decreased activity in the secondary somatosensory cortex, insula, prefrontal cortex, and putamen among rTMS responders, while non-responders showed no change [51]. Another study found that the effectiveness of rTMS was more strongly associated with lesions of the thalamocortical tract than with lesions of the corticospinal tract, suggesting that severe impairment of the thalamic nuclei and thalamocortical tract may influence hyperexcitability in the thalamus and cortex, or within the rTMS pain relief pathway [52]. Hence, there is a critical need to develop predictive biomarkers to gauge the effectiveness of rTMS. Techniques like fMRI assessment and biomarkers such as BDNF, as demonstrated by Zhao et al. [31], hold promise in this regard.

Despite the increasing evidence regarding the efficacy of NBS in pain management, its mechanisms of action are not completely understood. Some theories have been proposed to explain the mechanism by which NBS of the M1 area exerts their analgesic effects in neuropathic pain. The neural response induced by rTMS is not confined to the stimulated brain area, but can also spread to other cortical regions remote from the stimulated area [53,54].

Activation of top-down control of intracortical horizontal fibers located parallel to the precentral gyrus seems to stimulate inner pathways and structures such as the insula, the cingulate cortex, the thalamus, and portions of the brainstem, which might explain the effects of NBS on the affective dimension of pain and the endogenous opioid system [55]. Lamusuo et al. [56] showed activation of endogenous opioids through TMS applied to M1 or S1, with PET neurotransmitter, thereby reinforcing its likely involvement in the analgesic effect of TMS. Furthermore, Strafella et al. [57] demonstrated a dopamine release following cortical TMS stimulation, emphasizing the crucial role of the dopamine-opioid pathway in pain. Evidence also showed that HF-rTMS can repair malfunctioning intracortical inhibition, associated with chronic neuropathic pain, through the modulation of both inhibitory (GABAergic) and excitatory (glutamatergic) pathways [58,59].

A profound understanding of the neural mechanisms underlying rTMS is essential for developing efficient therapy in the future. Additional placebo-controlled studies and large studies with adequate blinding to the sham procedure, precision for coil positioning, and direct comparisons of cortical targets of stimulations are needed, to better understand the rTMS action mechanisms, namely long-term effects. Considering the aforementioned points, the utilization of M1 rTMS in post-stroke pain management currently presents a low quality of evidence but shows promising results. This review revealed that rTMS applied to the ipsilesional M1 region led to significant improvements compared to placebo for at least 3 weeks post-treatment. Interestingly, variations in stimulation frequency (10 or 20 Hz) and the number of pulses per session (ranging from 1,500 to 2,000) did not appear to influence effectiveness. Moreover, the number of sessions did not impact the efficacy of rTMS based on the included studies. However, data from open-label investigations suggest that tailoring session frequency over time to individual needs may enhance effectiveness. Additionally, assessing treatment response in initial sessions can help avoid prolonged and potentially unnecessary treatments.

6 Conclusion

NBS seems to be effective in reducing pain in short term, in patients with CSPS, when applied in the M1 area, without being associated with severe or permanent adverse effects. Quality of life, functional limitation, and psychological state do not appear to improve with the treatment; however, few studies formally evaluated them. Despite the good outcomes related to pain relief, these results should be taken into account with prudence, as they have some limitations: reduced number of RCTs studying the efficacy of NBS in patients with CSPS, reduced sample size (that can lead to type I and II errors) and heterogeneous protocols. As most of the studies only evaluated the short-term efficacy of noninvasive transcranial brain stimulation in CPSP, there is also a lack of information regarded to long-term efficacy of these treatments or the necessity of a maintenance session. Future studies should be performed using a more rigorous design and efforts should be taken to homogenize the protocols and outcomes assessment tools, to allow a better analysis and inference of treatment effects.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission. All authors contributed to the conception or design of the work; or the acquisition, analysis, or interpretation of data for the work.

  4. Competing interests: The authors state no conflict of interest.

  5. Research funding: None declared.

  6. Data availability: Not applicable.

  7. Study registration: International Prospective Register of Systematic Reviews (PROSPERO) protocol number CRD42022328822.

  8. Artificial intelligence/Machine learning tools: Not applicable.

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Received: 2023-11-13
Revised: 2024-05-10
Accepted: 2024-06-05
Published Online: 2024-07-03

© 2024 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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