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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
Pain. Author manuscript; available in PMC 2012 November 1.
Published in final edited form as:
PMCID: PMC3199360

10 Sessions of Adjunctive Left Prefrontal rTMS Significantly Reduces Fibromyalgia Pain: A Randomized, Controlled, Pilot Study

E. Baron Short, M.D., M.S.C.R.,1 Jeffrey J. Borckardt, Ph.D.,1,2 Berry S. Anderson, Ph.D.,3 Heather Frohman, B.S.,1 William Beam, B.S.,1 Scott T. Reeves, M.D.,2 and Mark S. George, M.D.1,4


Transcranial magnetic stimulation (TMS) of the prefrontal cortex can cause changes in acute pain perception. Several weeks of daily left prefrontal TMS has been shown to treat depression. We recruited 20 patients with fibromyalgia, defined by American College of Rheumatology criteria, and randomized them to receive 4000 pulses at 10Hz TMS (n=10), or sham TMS (n=10) treatment for 10 sessions over 2 weeks along with their standard medications, which were fixed and stable for at least 4 weeks before starting sessions. Subjects recorded daily pain, mood, and activity. Blinded raters assessed pain, mood, functional status, and tender points weekly with the Brief Pain Inventory, Hamilton Depression Rating Scale, and Fibromyalgia Impact Questionnaire. No statistically significant differences between groups were observed. Patients who received active TMS had a mean 29% (statistically significant) reduction in pain symptoms in comparison to their baseline pain. Sham TMS participants had a 4% nonsignificant change in daily pain from their baseline pain. At 2 weeks after treatment, there was a significant improvement in depression symptoms in the active group compared to baseline. Pain reduction preceded antidepressant effects. TMS was well tolerated, with few side effects. Further studies that address study limitations are needed to determine whether daily prefrontal TMS may be an effective, durable, and clinically useful treatment for fibromyalgia symptoms.


Fibromyalgia is a chronic pain syndrome characterized by pain above and below the waist bilaterally, axial skeletal pain, and 11 of 18 discrete tender points [49]. It affects 1-3% of the general population, and has a high comorbidity with depression [48]. The pathophysiology may involve sensitization of central pain processing [32; 50], dysfunctional pain inhibition [26] and abnormalities in cortical excitability [33]. There may be decreased rostral anterior cingulate activity in response to pain provocation, indicating an abnormality in the descending pain regulatory circuitry [26]. Increased insula activity, related to evoked pain processing, and increased connectivity with subgenual anterior cingulate cortex and DLPFC might represent other mechanisms leading to exaggerated pain perception [34]. Fibromyalgia may involve abnormally low corticospinal excitability that additionally correlates with depressive symptomatology [33]. TMS may be a reasonable method to modulate nociceptive circuitry in fibromyalgia.

Transcranial magnetic stimulation (TMS) is a brain intervention that modulates activity in discrete cortical regions and associated neural circuits through the noninvasive induction of intracerebral currents over several sessions of stimulation. Several studies support the notion that regular, high-frequency (5–30 Hz) stimulation increases cortical excitability (long term potentiation-like effect ((LTP)) whereas low-frequency (0.3–1 Hz) stimulation decreases cortical excitability (long term depression-like effect ((LTD)) [17; 24]. Thus TMS over motor cortex at high frequencies increases motor evoked potentials (MEP), a measure of cortical excitability, and low frequency TMS decreases MEP. With respect to mood, it is hypothesized that chronic repetitive stimulation of the prefrontal cortex initiates a cascade of events in the prefrontal cortex and in connected limbic regions [23]. Prefrontal TMS sends information to important mood-regulating regions including the cingulate gyrus, orbitofrontal cortex, insula and hippocampus, and may induce dopamine release in the caudate nucleus [23; 36; 44].

Fibromyalgia is associated with deficits in intracortical modulation [33]. Speculatively, repetitive transcranial magnetic stimulation (rTMS) may reduce fibromyalgia pain via enhancing intracortical modulation. Regardless of mechanisms, optimal TMS parameters and locations for fibromyalgia are not clear. Sampson, et al. [41] using low frequency rTMS over the right dorsal lateral prefrontal cortex (RDLPFC) showed a reduction in pain in 4 patients with fibromyalgia. This was a secondary analysis from a larger study, thus limiting conclusions. In a replication study by Carretero, et al. [15], the results were negative, however subjects were given 400 fewer pulses per session and thus may have received subtherapeutic dosing [15; 43]. Passard, et al. [35] studied high frequency rTMS in motor cortex and found a reduction in fibromyalgia pain that remained significant for two weeks.

To our knowledge there are no studies of high frequency rTMS over the left DLPFC for fibromyalgia, despite growing evidence that high frequency rTMS over the left DLPFC is able to acutely treat depression [29; 42; 22]. rTMS may modify overlapping mood and fibromyalgia pain regulation circuitry, particularly with stimulation of left DLPFC. We hypothesized that patients with fibromyalgia might experience a clinically significant reduction in daily pain if we were to administer rTMS in a manner similar to rTMS antidepressant protocols.



The Medical University of South Carolina Institutional Review Board approved this study and all patients provided written informed consent before inclusion in the study. Twenty subjects, naive to TMS, met American College of Rheumatology criteria for fibromyalgia enrolled and completed the study. Patients were excluded if they were taking medications known to increase the risk of TMS-induced seizures (e.g., theophylline, Ritalin, high dose thyroid supplementation), if they had medication changes within the 4 weeks of starting the trial or during the trial, or if they had pacemakers, epilepsy, recent head trauma, stroke, bipolar disorder or schizophrenia. Subjects could enroll with or without a history of major depressive disorder, but the depression could not be the main reason for their functional impairment or study enrollment. Rather subjects were recruited solely for fibromyalgia pain. Subjects were screened with clinical exam, Structured Clinical Interview for DSM-IV [21], and the TMS Adult Safety Screen [27]. Subjects were recruited through the Medical University of South Carolina (MUSC) Rheumatology clinics and local newspaper. All data collection was completed in the MUSC Brain Stimulation Laboratory.

Clinical assessment

Questionnaires for assessing fibromyalgia pain, fatigue, and depression were completed at baseline, day 5 and day 10 of treatment vs. sham, and once weekly for 2 weeks after treatment or sham, over the course of one month. The Hamilton Depression Rating Scale (HDRS) [25], Brief Pain Inventory (BPI) [19], and Fibromyalgia Impact Questionnaire (FIQ) [14] were used. Subjects completed a 9-item daily pain diary at bedtime to track pain, mood, activity, and sleep symptoms 1 week before TMS intervention as a baseline pain report and daily through the four weeks of the trial. The daily pain rating was an a priori primary outcome variable. The subjects were asked to record at the end of the day (at bedtime if possible) symptoms on a numeric rating scale (0=no pain at all to 10=worst pain imaginable) and were told they could rate in non-integer increments. Subjects specifically were asked to report average pain rating, pain at its worst, pain at its least, activity level, depression, number of times pain medications were taken, number of hours of sleep (night before), and how unpleasant pain was experienced.

Subjects also had a laboratory pain assessment, serum measurement of cytokines, and a central visual analog scale pain and mood rating, the results of which will be presented separately.

Transcranial magnetic stimulation procedure and design

Resting motor threshold (rMT) was determined using a NeoPulse Neotonus® Model 3600 (with a solid focal coil) TMS machine by starting with 80% of the machine output and 1 Hz stimulus frequency. The coil was positioned over the area of the skull roughly corresponding to the motor cortex and then systematically moved and adjusted until each pulse results in isolated movement of the right thumb at rest (Abductor Pollicis Brevis; APB muscle). The machine output was adjusted to the lowest intensity that reliably produces thumb movement using PEST [11]. As the left prefrontal cortex was the cortical target, a mark was made 6 cm anterior to the motor cortex target. This may be reasonably accurate with respect to locating Brodman’s Area 9, given that standard “5 cm rule” compared with image-guided TMS coil positioning for DLPFC can be approximately 1 or 2 cm posterior to target location at least 30% of the time [1; 22]. During active and sham stimulation, the TMS coil was aligned in a parasaggital orientation, 6 cm from the area that produced right APB muscle movement for rMT testing. Patients were randomly assigned (random generator software developed by Dr. Borckardt in the Brain Stimulation Laboratory using Real Studio 5 on the Macintosh Platform) to receive 10-sessions (5 per week for 2 weeks) of active or sham rTMS. Subjects were randomized before baseline measures were collected. A co-investigator, not directly involved in ratings or treatment, released treatment condition to the TMS operator. Thus TMS operators were not blind to treatment condition, however they were not involved in ratings. A masked continuous rater (CR) assessed patients at baseline, the end of each treatment week, and the two follow-up weeks. Importantly, the CR did not administer the TMS, minimizing chances of unmasking due to events during the TMS treatment session. The length of treatment and the number of pulses on the head was the same for all subjects; whether they receive active or sham. The same stimulation frequency was used for all active subjects (chosen as a priori stimulation based on studies showing antidepressant and antinociceptive effects): 10 Hertz - Pulse train duration (on time) 5 seconds, Power (intensity) level 120% of resting motor threshold, Inter-train interval (off time) 10 seconds (15 second cycle time). Additionally, stimulation-train duration and inter-stimulus intervals were determined such that they are in compliance with current published rTMS safety guidelines [39].

Both Active and sham groups received the same treatment sessions 5x per week

80 trains × 15 sec = 4000 pulses per session, 5 × per week= 20,000 pulses per week, × 2 weeks = 40,000 pulses. Time - 1200 sec = 20 minutes/ session, all days.

TMS Sham Design

This study began before the OPT-TMS trial was fully functional and the sham system employed here was less developed than the OPT-TMS sham system. A specially designed sham TMS coil was used for all sham conditions that produces auditory signals identical to active coils but is shielded so that actual stimulation does not occur, however subjects do experience sensory stimulation that is difficult to distinguish from real TMS [12]. A portable electrical stimulus generator (Epix VT; Empi, St. Paul, MN; USA) powered by a 9-volt battery was used to delivery a constant stimulus (150 pulses per second) to a custom developed switch-box that blocked the continuous electrical stimulus from reaching the participant. Two flat Thymapad ® Stimulus Electrodes (Somatics, LLC; Lake Bluff, IL, USA) were attached from the switch box to the subject’s forehead directly underneath the TMS coil. A Bayonet Neill-Concelman (BNC) cable connected the TMS machine to the switch-box and every time the TMS machine delivered a pulse, a Transistor–transistor logic (TTL) signal was sent via the BNC cable to the switch-box. Upon receiving the TTL pulse, the switch box opened a gate for ~250 μs, allowing the electrical stimulus through to the subject’s scalp. Thus, participants experienced a brief (~250 μs) electrical pulse every time the sham TMS coil clicked. The intensity of the stimulus was adjustable at the electrical generator (1 to 60 mA) and the time that the gate was let open after each TTL trigger was adjustable on the switch-box as well.

Titrating the Sham System

Subjects were administered 1-second-trains of real TMS over the prefrontal cortex (10 Hz) at 80%, 100%, and 120% of rMT (randomly ordered) and they rated the painfulness of each sensation using a numeric rating scale (0=no pain at all to 10=worst pain imaginable). These ratings were recorded on the clinical research form for future reference. Next, the sham TMS coil was placed over the subject’s prefrontal cortex and the sham system was set to deliver electrical stimuli starting at 1mA (in sync with the audible TMS pulses at 10Hz) in trains lasting 1-second. Subjects were asked to rate the painfulness of each 1-second train using the same numeric rating scale. The intensity of the electrical pulses were adjusted and a PEST algorithm was used to match the subjective pain rating of the electrical stimulation to the rating of the real TMS at 100%. A minimum of 30 seconds elapsed between all of the 1-second pulse trains. The entire sham titration procedure took approximately 5 minutes to complete.

Sham assessment

Each subject was asked if they could determine whether they had received sham or real TMS and why they believed they received one condition versus the other. This was assessed at the end of every session for week 1 and the last session of weeks 2,3, and 4.

Data was stored electronically with the assistance of MUSC South Carolina Clinical and Translational Research Institute (formerly the General Clinical Research Center). Data stored on paper was located in a locked room in the Brain Stimulation Laboratory.

Statistical Analysis

To lower Type II errors while maximizing feasibility for the study with reasonable sample size for the pilot trial [8], we employed 10 subjects in the treatment arm and 10 subjects in the control arm (per personal consultation with Paul Nietert and Barbara Tilley). For the primary outcome measure (daily pain-on-average ratings), hierarchical linear modeling was used (proc mixed in SAS; Singer, 1999). Participants’ individual intercepts were entered into the model as random effects at level-1 and the model covariance structure was set to lag-1 autoregressive [AR(1)] to appropriately handle serial dependence associated with this time-series data. For evaluation of FIQ scores, mean number of tender points, BPI functional impairment scores and HDRS scores, 3X2 mixed models were run (SPSS 17) examining the interaction of time (baseline, end of treatment week-1, end of treatment week-2) and group (real TMS, sham TMS). Analysis of follow-up data were conducted using paired t-tests examining follow-up scores relative to baseline.



20 patients meeting the inclusion criteria were included in the study with 10 in the active treatment and 10 in the sham arm between December 2007 and January 2010. All 20 subjects were included for analysis. A CONSORT e-flowchart is accessible online version of PAIN®. Two subjects complained of a headache after the first treatment. No subjects dropped out of the study. Of the twenty subjects, only two had confidence they had received TMS, but only due to subjective symptom improvement (both were in the treatment arm). Otherwise subjects could not distinguish whether they had received real or sham TMS. The TMS administrators were not blinded to the sham or active TMS. A continuous rater remained blinded for the entirety of study for all measures except tender points. A separate, blinded continuous rater with expertise in tender point measurement became unavailable after the thirteenth subject. A replacement rater with expertise in tender point measures remained blinded to all measures but knew the initial treatment arm assignment for the last seven subjects. The demographic and clinical characteristics of the two groups of patients were similar (Table 1).

Table 1
Demographic and clinical characteristics of patients

Daily Diary Pain-On-Average Ratings

The group (real versus sham rTMS) by phase (baseline, treatment-week-1, treatment-week-2) interaction was significant for daily pain-on-average ratings (F(2,444)=6.72, p=.001) (Table 2). No statistically significant differences in mean pain between groups were observed. Post-hoc analyses indicated no difference in pain ratings between groups during the baseline phase (t(18.1)=0.40, ns). Pain ratings decreased significantly during treatment-week-1 in the real TMS group compared to their baseline (t(143)=2.41, p=.017) but not in the sham group (t(164)=0.83, ns). Pain ratings were significantly lower in the real rTMS group during treatment-week-2 as well compared to baseline (t(1209)=3.48, p<.001), but were not different in the sham TMS group (t(1233)=1.20, ns). At 2-weeks follow-up, the gains were maintained relative to baseline in the real TMS group (t(873)=2.73, p=.006), but there was still no significant change from baseline observed in the sham group (t(891)=0.33, ns). In the treatment group, there was a mean 29% (statistically significant) reduction in average daily pain in comparison to their baseline pain. In the sham group, there was a 4% non-significant reduction in average daily pain in comparison to their baseline pain. Figure 1 shows the mean ratings for each phase of the study between groups.

Figure 1
Mean pain ratings by group over time
Table 2
Patient responses by treatment arm and measurement

Fibromyalgia Impact Questionnaire

No statistically significant differences in FIQ scores between groups were observed. There was a significant main effect for time on FIQ scores (F(2,19)=8.33, p=.003). The time by group interaction was significant for total FIQ scores (F(2,17)=3.82, p=.043)(Table 2). Post-hoc analyses suggest no difference in baseline FIQ scores between groups (t(18)=.76, ns) and no change in FIQ scores from baseline to the end of treatment-week-1 in either group (t(9)=0.91, ns; t(9)=1.03, ns). However, by the end of treatment-week-2 participants in the real TMS group evidenced a significant decrease in FIQ scores (t(9)=4.09, p=.003), while participants in the sham group did not (t(9)=1.34, ns). Curiously, at 2-weeks follow-up, both groups evidenced significant improvement in FIQ scores relative to baseline (sham: t(9)=2.62, p=.028; real: t(9)=2.29, p=.048).

Brief Pain Inventory

There was a significant main effect for time on mean functional impairment due to pain (F(2,34)=5.69, p=.007) suggesting an overall improvement in the sample. However, the time by group interaction was not significant (F(2,34)=0.18, ns) (Table 2), suggesting no advantage for real TMS compared to sham in improving functional impairment due to pain.

Tender Point Evaluations

No main effect for time was observed on mean number of positive tender points (F(2,15)=1.47, ns). However, the time by group interaction was significant for mean positive tender points (F(2,15)=3.94, p=.042) (Table 2). Post hoc analyses indicate no difference between groups at baseline (t(18)=0.31, ns). There was a significant difference between groups at the end of treatment-week-2 (t(16)=2.92, p=.01) with those in the real TMS group exhibiting significantly fewer tender points than those in the sham group, but no other differences were observed.

HDRS Depression Scores

A main effect between groups was not observed. A main effect for time was observed on HDRS scores (F(2,17)=5.57, p=.014) (Table 2). The time by group interaction was not significant suggesting no treatment effect for TMS over time on mood (F(2,17)=2.32, ns). However, at 2-weeks follow-up, participants in the real TMS group evidenced a significant improvement in HDRS scores compared to baseline (t(9)=2.96, p=.016) whereas those in the sham group did not (t(9)=1.50, ns). The sham group had a non-significant drop by 1 point, while the treatment group had a 7-point decrease in the HDRS. Post-hoc cross-correlational analysis of daily pain and mood dairies revealed a decrease in pain on average one day before a reduction of depression in the treatment group.


In a group of TMS naïve outpatients with fibromyalgia, we found that 10 sessions of high frequency left prefrontal TMS resulted in statistically significant reductions in daily pain over time in comparison to baseline mean pain in the treatment group. There were no significant reductions in pain over time in the sham group. However, there were no statistically significant reductions in mean pain between treatment versus sham groups in this pilot trial. Thus any conclusions of fibromyalgia pain reduction with TMS are premature until studies with larger sample sizes show differences between groups, not just pain reduction over time from baseline measures. There were few side effects and no dropouts. TMS was well tolerated. Subjects in both arms were similar across demographics. The pain reduction in the treatment arm was statistically different from baseline after day five of treatment and remained statistically different throughout the follow-up visits. Percent change in reduced pain was 29% at the end of 10 days of treatment over two weeks. Pharmaceutical clinical trials for fibromyalgia seek a 30% reduction in pain for clinical significance. The rapid onset of pain reduction in this pilot trial approximates that of pregabalin and duloxetine, although with markedly less side effects [31; 40].

Fibromyalgia Impact Questionnaire data suggest that the treatment arm experienced a significant reduction in pain compared to baseline at the end of week two of treatment. In follow up week one and two, treatment subjects continued to show a reduction in pain and improved function, however subjects that received sham additionally improved in these domains too. Overall there was no significant difference in follow up weeks one and two. It is unclear as to why sham subjects had robust improvements in these scales after, not during, sham treatment. Speculatively, subjects enrolled were not accustomed to repeat daily visits to the Brain Stimulation Lab that may have unexpectedly involved an element of behavioral activation along with a limited social engagement to the TMS device operator. These effects would occur in both arms, however the sham group received a noxious sham stimulation to simulate real TMS. When sham TMS subjects no longer received sham, they may have inadvertently recorded benefits of removing noxious stimuli along with some nonspecific benefits of behavioral activation, relative to baseline activity, needed to carry out the study. Other possibilities include delayed placebo effect, natural history, or regression to the mean. The BPI assesses pain comparisons over the past 24 hours and the FIQ measures symptom change over the past week. Both assessments possibly captured some non-specific effects but did not capture daily changes from baseline as the pain diary data could.

Secondary analyses of tender point changes are of interest. Subjects with real TMS showed a reduction in tender points in comparison to sham TMS subjects. The treatment sample mean number of tender points dropped below 11 points by the end of the session 10, technically reducing tender points below the categorical 11 of 18 tender points for a diagnosis of fibromyalgia. The tender point reduction was not seen in the placebo arm. Currently tender point counts are a topic of debate for research utility or as clinical marker of improvement in symptoms given the heterogeneity in the fibromyalgia population [46; 47]. In this sample, a reduction in tender points was pronounced, but potentially biased by an unblinded tender point rater later in the study.

In regards to depression, there was not a statistical difference in depression at the end of ten days of rTMS versus sham, however there was a statistical reduction in depression by HDRS in the follow up assessments in the treatment group compared to baseline. Post hoc analyses of daily pain and mood diaries revealed daily pain reduction occurred on average one day before any change in mood, supporting a change in pain before shifts in mood. Other trials have additionally seen reductions in TMS procedural pain and overall pain levels before antidepressant effects when stimulating at 10Hz, LDLPFC rTMS [6; 3].

Given antidepressant effects observed, it is relevant to note the evidence for high frequency rTMS antidepressant effects are not without ambiguity. A Cochrane review [38], analyzing TMS antidepressant trials until 2001, concluded there is no strong evidence for efficacy of transcranial magnetic stimulation for the treatment of depression. Small sample size, lower stimulation intensities, and shorter treatment courses were the primary methodological deficiencies in those trials. Recent meta-analyses [29; 42; 22] of subsequent rTMS antidepressant studies lend support to the FDA’s approval of high frequency rTMS for the treatment of unipolar, nonpsychotic, depression after failing to respond to one antidepressant. Any conclusions of antidepressant effects with TMS in patients with fibromyalgia are premature.

Fibromyalgia subjects have abnormalities in central pain modulation. They may have abnormalities in endogenous opioid systems [7] and enhanced spontaneous pain related to enhanced insula connectivity with default mode network circuitry [34]. Fibromyalgia subjects can have higher resting motor thresholds, motor evoked potentials, lower intracortical facilitation, and short intracortical inhibition suggesting abnormal intracortical modulation involving GABAergic and glutamatergic mechanisms [33]. Fibromyalgia subjects have been shown to have less rostral ACC activity with pain provocation [26], suggesting decreased activity of pain inhibition circuitry.

rTMS to DLPFC may reduce fibromyalgia pain via modulation of pain processing circuitry. Pain modulation circuitry may involve prefrontal cortex (PFC), anterior cingulate cortex, periaqueductal gray, and ventral medial medulla [37]. The PFC may be directly involved in placebo analgesia via release of endogenous opiods in these subcortical regions, and reducing pain transmission [45; 9; 10]. Placebo analgesia can be experimentally blunted with opiate antagonists [2]. Furthermore, the placebo response can be transiently blocked with low frequency TMS to bilateral DLPFC in healthy volunteers [28]. Speculatively, our study may be stimulating left DLPFC at high frequency and activating the same pain modulation circuitry without necessarily activating the psychological expectation. Might high frequency TMS in the DLPFC activate rostral ACC and pain control circuitry to facilitate the placebo response by endogenous opiod release? Fortunately, these are testable hypotheses.

There are several limitations to the study. As a pilot trial, the sample size is small, subjects are not matched by age or severity of symptoms, and subjects remained on medications for fibromyalgia pain. The treatment course was abbreviated (2 weeks instead of 4-6 weeks) in comparison to TMS depression clinical trials from whence the methods were derived. Between group differences were not statistically significant, rather differences were significant over time from baseline, respective to each group. Subsequent secondary functional outcome measures were limited statistically and clinically, which possibly is a function of limited therapeutic significance or premature termination of rTMS. Several pharmacotherapy clinical trials for fibromyalgia are similarly challenged with some secondary functional measures either not reaching statistical significance [5; 31] or modest clinical significance [18; 20; 40; 16; 30; 4; 13]. LDLPFC localization methodology did not use neuroimaging to confirm anatomic site of interest or account for inter-individual neuroanatomic differences. Although subjects were blinded to treatment condition, the TMS administrator was not blind to treatment condition and potentially introduced bias in subjects, effecting treatment response. The rater measuring tender points was not blind to treatment condition throughout the study, thus serving as another source of bias. A blinded, continuous rater was employed for all other measures. Subjects were not followed for months, as part of the study, and thus is it unclear how long the treatment effects lasted. Anecdotally, one subject contacted the research team requesting another course as her fibromyalgia pain had returned after an almost fibromyalgia pain free period of eleven months. A second had called noting approximately 6 months significant fibromyalgia pain relief. Future TMS fibromyalgia research can address several methodological issues with larger samples, double blinding, neuroanatomic localization, longer duration of treatment and observation to ascertain if there are actual treatment effects observed between TMS and sham groups. Future trials may also test for changes in cortical excitability, neuroanatomic changes in PFC, ACC and insula that may preclinically correlate with symptom improvement and be used as a biomarker.


This is the first published rTMS trial stimulating LDLPFC to assess for reductions in fibromyalgia pain. In total, the data lends inconclusive, but suggestive support to the hypothesis that high frequency rTMS at the LDLPFC, as an adjunct to pharmacotherapy, may reduce fibromyalgia pain. Further work is needed to determine if rTMS may have pain modulation effects for fibromyalgia in a larger clinical trial.


Funding for this pilot project, under Multidisciplinary Clinical Research Center grant P60 AR049459, was generously provided by the Office of the Provost and Vice-President for Research. Identifier: NCT00523302


Disclosures: A Neopulse machine, purchased by the BSL from previous studies, was employed for the TMS-fibromyalgia trial described in the manuscript. The equipment was not loaned and there was no industry involvement or sponsorship. Dr. George has received no compensation from any TMS manufacturer for the past 5 years, and has no equity in any device or pharmaceutical company. Following a competitive bid and request involving all TMS manufacturers, Neuronetics Inc (Malvern, PA) was selected and loaned the TMS devices, head-holders and coils for the OPT-TMS trial (not described in this manuscript.) Dr. George reports research grants in the past 5 years from Glaxo-Smith Kline, Jazz Pharmaceuticals, Brainsway, Cephos, and Force Protection. He has been an unpaid advisor to Brainsonix, Brainsway, Neuronetics, Neostim and Neosync (as they make products related to TMS), and a paid advisor to Jazz, Cyberonics, Neuropace, and Puretech ventures. The full amount of his advisory income has never been more than 10% of his university salary. MUSC has 2 patent applications in Dr. George’s name on combining TMS with MRI imaging.

All other authors have nothing to disclose and no conflicts of interest.


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