Fibromyalgia
Conditions
Keywords
repetitive Transcranial Magnetic Stimulation, functional MRI, Fibromyalgia, Hypnosis, Pain Assessment
Brief summary
The investigators plan to use functional neuroimaging (fMRI) to understand the brain systems affected when hypnosis and hypnotic analgesia are augmented with repetitive transcranial magnetic stimulation (rTMS), a form of non-invasive brain stimulation to 100 people with fibromyalgia, a chronic pain condition. The investigators will measure the effect of rTMS-augmentation on the brain networks underlying hypnotizability, as well as the effect of rTMS-augmentation on hypnotic analgesia networks. The investigators hope to demonstrate that a combination of these psychological and neuromodulatory treatments will be more effective than hypnosis alone, thereby enhancing the depth of hypnosis, range of hypnosis and the efficacy of hypnotic analgesia and hopefully creating a new treatment modality for individuals suffering from pain syndromes such as fibromyalgia pain.
Detailed description
Overall Study Design. The investigators propose to develop a combinatory approach where an integrative technique (hypnosis) is augmented with a neurotechnology (repetitive transcranial magnetic stimulation). This application seeks to utilize the previously established brain-based mechanisms of both hypnosis and repetitive transcranial magnetic stimulation as biomarkers to assess the potential synergistic mechanism of this combinatory approach. 100 low-moderately hypnotizable subjects with fibromyalgia will be identified. The subjects' response to rTMS-augmentation of hypnosis will be measured. The volunteers will be randomized to active or sham rTMS. Two scan sessions will be performed for each subject, with the first scan session investigating the effect of rTMS-augmentation on hypnosis and hypnotizability (120 min scan session) and the second scan session focused on the effect of rTMS-augmented hypnotic analgesia (120 min scan session). * During the course of the study and upon consultation with the manufacturer, sham setting intensity was lowered to reduce the risk adverse events (e.g., scalp damage). The study will require that participants participate in an in-person screening visit, a screening MRI scan and 2 MRI scan sessions that include the TMS and hypnosis. Experimental design. Before each MRI scan session, participants will undergo a preparation session, where hypnotizability and either psychological testing or experimental pain training will be conducted. Volunteer subjects will then participate in 2 MRI scan sessions on two separate days, each lasting approximately 120 mins. Hypnosis induction procedures. Hypnosis will be induced while the subject is in the scanner though the use of headphones and a pre-recorded induction script. Hypnotic instructions will be standardized, and will involve a simple induction instruction used in our prior research on the brain signature of the hypnotic state and in clinical care. The ability to enter and maintain the hypnotic state through such an induction mechanism in the fMRI environment has been previously demonstrated.
Interventions
The investigators will perform two applications of 40s of continuous theta-burst stimulation (cTBS) form of rTMS at 80% resting motor threshold (previously determined), with a 15 minute intersession interval. The standardized treatment location for the left DLPFC will be determined by Localite Neuronavigation and targeted at the posterior middle frontal gyrus. The baseline structural scan obtained during the scan 1 will be utilized for this localization process. rTMS will be delivered using a MagPro TMS system (MagVenture, Denmark). sham rTMS will be delivered using a MagPro TMS system (MagVenture, Denmark).sham rTMS will be delivered using a MagPro TMS system (MagVenture, Denmark).
Hypnotizability will be measured using the Hypnotic Induction Profile before and after administration of real vs. sham rTMS. Hypnotizability will be measured using the Hypnotic Induction Profile before and after administration of real vs. sham rTMS. Hypnosis will be employed to influence Stroop performance (conflict detection) and for pain management. The hypnotic instructions for this will be pre-recorded and played during fMRI.
Sponsors
Study design
Masking description
Double blind sham vs. real rTMS; data analysts blind to group assignment; subjects debriefed on their guess about sham vs. real - no better than chance
Eligibility
Inclusion criteria
* Fulfill 2010 Fibromyalgia Diagnostic Criteria * Age 18 - 70 * Right-handed * Agree to and able to have two fMRI scans as well as rTMS sessions * Willingness to suspend use of analgesic drugs or cough suppressants for 24 hours prior to the scans * Willingness to suspend us of antidepressant drugs for 2 weeks prior to the scans (6 weeks for fluoxetine) * Proficiency in English sufficient to complete questionnaires/follow instructions during fMRI assessments * US Citizen or resident able to receive payment legally * Low-Moderate Hypnotizability in the Hypnotic Induction Profile (score of 0-8) * Normal color vision * Women of childbearing potential must agree to use adequate contraception prior to study entry and continue this for the duration of the study
Exclusion criteria
* A medical condition that would contraindicate the use of rTMS * Any condition that would contraindicate MRI (like ferromagnetic metal in the body) * Pregnancy or breast feeding * Any significant neurologic disease, including dementia, multi-infarct dementia, Parkinson's or Huntington's disease, brain tumor, progressive supranuclear palsy, seizure disorder, subdural hematoma, multiple sclerosis, history of significant head trauma * Current antidepressant use (must be washed out for two weeks prior to starting protocol) * Inability to stop taking medication contraindicated with treatment * High Hypnotizability in the Hypnotic Induction Profile (score \>8) * Any significant psychiatric disorder as identified on the Mini Mental State Exam (Dysthymia not an
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| The Change in Functional Connectivity (FC) Between the Left Dorsolateral Prefrontal Cortex (L-DLPFC) and the Dorsal Anterior Cingulate Cortex (dACC) | Baseline and at 15-20 min post-TMS (up to 30 min) | Functional MRI (fMRI) measures changes in oxygenated blood in the brain; at rest these levels fluctuate over time. These fluctuations can be similar between different brain regions. FC is the similarity in fluctuations of these fMRI signals and suggests how strongly two regions communicate with each other. We measured how inhibitory continuous theta-burst stimulation (cTBS) over L-DLPFC changes FC between L-DLPFC and dACC. This was done by estimating z-transformed correlation coefficients (CC) for each voxel (-1 to 1) between the L-DLPFC and dACC pre and post cTBS intervention. Negative FC was assigned to voxels with a weight \< 0, positive FC to voxels with weight\> 0. Total FC includes positive and negative voxels. The change in FC is regarded as the change in the sum of these weighted voxels from pre to post cTBS for total, positive and negative FC, respectively. Greater sums of voxels correspond to more significant levels of coordinated activity (positive, negative, or total). |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Change in Hypnotic Induction Profile Score | Baseline and Immediately post rTMS (up to 30 min) | The investigators used the Hypnotic Induction Profile (HIP) to determine the effect of active, inhibitory rTMS (cTBS) over L-DLPFC on enhancing hypnotizability. HIP scores range from 0 to 10 (low to high hypnotizability). |
| Change in The Hypnosis Intensity Scale | Baseline and immediately post rTMS (up to 2 hrs) | The investigators used the Hypnotic Intensity Scale (HIS) to determine the effect of active, inhibitory rTMS (cTBS) over L-DLPFC on enhancing hypnotic intensity. HIS scores range from 0 to 10 (low to high hypnotic intensity). |
| The Change in Functional Connectivity (FC) Within The Neural Network Underlying Conflict Regulation. | Baseline and at 15-20 min post-TMS (up to 30 min) | We examined the effect of active, inhibitory cTBS over L-DLPFC on functional connectivity (FC) in key nodes in the neural network underlying the conflict regulation system. FC between each voxel in the L-DLPFC and the entire dACC was established by estimating z-transformed correlation coefficients (CC) for each voxel (-1 to 1) pre and post cTBS intervention. This paradigm was also used for voxels in the Default Mode Network (DMN) (Schaefer, 2018; Yeo, 2011) to the entire right inferior frontal gyrus (rIFG). Negative FC was assigned to voxels with a weight \< 0, positive FC to voxels with weight \> 0. Total FC includes positive and negative voxels. The change in FC is regarded as the change in the sum of these weighted voxels from pre to post cTBS for total, positive and negative FC, respectively. Greater sums of voxels correspond to more significant levels of coordinated activity (positive, negative, or total). |
| The Change in Stroop Performance | Baseline and at 15-20 min post-TMS (up to 30 min) | Stroop effect is measured by the response time of a participant during the stroop task. Increases in response time indicate increased stroop effect (SE) and vice versa. |
| Stroop Task | Baseline and at 15-20 min post-TMS (up to 30 min) | Active, inhibitory cTBS effect over L-DLPFC on the neural network that underlies the hypnotic Stroop modulation effect was determined by first estimating the average of connectivity weights for all parcel pairs linking Ventral Attentional Network (VAN) to the DMN. Parcels are determined by extracting mean resting state BOLD time-series for each region of the Schaefer 100 parcellation. A correlation matrix between all parcels is created and FC weights for each pair are established by estimating z-transformed correlation coefficients (CC) (-1 to 1). Each parcel pair is then assigned to one of the 7 resting state networks defined by Yeo et al., (2011). Negative FC is defined for parcel pairs with a weight \< 0, positive FC pairs with weight \> 0 and total FC includes all pairs. FC is thus the average value between parcel pairs in the DMN and VAN pre/post TMS. Greater sums of weighted pairs correspond to more significant levels of coordinated activity (positive, negative, or total). |
| Linear Relationship Between the Change in FC of the VAN to the DMN and the Change in Stroop Performance (Correlation Coefficient) With no Hypnosis Intervention. | Baseline and at 15-20 min post-TMS (up to 1 hr) | Spearman's correlation was used to determine the linear relationship between the response time taken to answer incongruent Stroop task blocks (a measure of Stroop performance) and the change the resting-state network FC between the VAN and the DMN when no hypnosis intervention was implemented. |
| Linear Relationship Between the Change in FC of the VAN to the DMN and the Change in Stroop Performance (Correlation Coefficient) With Hypnosis Intervention. | Baseline and at 15-20 min post-TMS (up to 1 hr) | Spearman's correlation was used to determine the linear relationship between the response time taken to answer incongruent Stroop task blocks (a measure of Stroop performance) and the change the resting-state network FC between the VAN and the DMN when the hypnosis intervention was implemented. |
| Linear Relationship Between the Change in FC of the VAN to the DMN and the Change in Stroop Interference (Correlation Coefficient) With no Hypnosis Intervention. | Baseline and at 15-20 min post-TMS (up to 1 hr) | Spearman's correlation was used to determine the linear relationship between the Stroop interference and the change the resting-state network FC between the VAN and the DMN when no hypnosis intervention was implemented. In psychology, the Stroop effect is the delay in reaction time between congruent and incongruent stimuli. |
| Linear Relationship Between the Change in FC of the VAN to the DMN and the Change in Stroop Interference (Correlation Coefficient) With Hypnosis Intervention. | Baseline and at 15-20 min post-TMS (up to 1 hr) | Spearman's correlation was used to determine the linear relationship between the Stroop interference and the change the resting-state network FC between the VAN and the DMN when the hypnosis intervention was implemented. In psychology, the Stroop effect is the delay in reaction time between congruent and incongruent stimuli. |
| The Change in the Neural Network Underlying Hypnotic Intensity | Baseline and 2 hours | Blood oxygen level dependent (BOLD) signal and interleaved TMS-BOLD analyses will be used to determine the effect of active, inhibitory rTMS (cTBS) over L-DLPFC on modulating the neural network that underlies hypnotic intensity. |
| Change in Sense of Agency Rating Scale (SOARS) | Baseline and immediately post-rTMS (up to 30 min) | The investigators used the Sense of Agency Rating Scale (SOARS) to determine the effect of active, inhibitory rTMS (cTBS) over L-DLPFC on altering the subjective sense of agency during hypnotizability. SOARS scores are calculated for Involuntariness and Effortlessness, each range from 0 to 35 (low to high). |
| Metabolic Alterations in Fibromyalgia (FMS) Defined by Excitatory / Inhibitory Ratio | Baseline Scan (up to 15 min) | E/I ratio is defined as the logarithm of the concentration of Glx (excitatory neurotransmitter metabolite complex) /GABA+ (inhibitory neurotransmitter metabolite complex) relative to either water or creatine peak signal and it is a unitless measure ranging from -1 to 1. Logarithmic transformations are used to account for non-normal distributions of metabolite concentrations across participants and ratios \> 0 are thought to be excitatory neurotransmitter dominant while ratios \<0 are thought to be inhibition dominant. |
| Alterations in Pain Perception in Fibromyalgia | Baseline visit (up to 30 min) | To characterize clinical pain measures, which are defined as thermal pain threshold and thermal pain tolerance. Thermal pain threshold is determined as the temperature of a thermode determined as painful (degrees Celsius) by a participant. Thermal pain tolerance extends this to the point at which discontinuation is necessary (degrees Celsius). |
| Metabolic Changes in L-DLPFC Pre- and Post-rTMS | Baseline Scan and at 15-20 min post-TMS (up to 30 min) | To determine the relationship between the metabolic alterations pre and post-rTMS. Metabolic changes as measured by MEGA-PRESS spectroscopy were assessed by quantification of excitatory (Glx) and inhibitory (GABA+) neurotransmitter complexes. The E/I ratio is defined as the logarithm of the concentration of Glx/GABA+relative to either the reference water or creatine signal and it is a unitless measure ranging from -1 to 1. Logarithmic transformations are used to account for non-normal distributions of metabolite concentrations across participants and ratios \> 0 are thought to be excitatory neurotransmitter dominant while ratios \<0 are thought to be inhibition dominant. |
| Linear Regression of Thermal Pain Threshold to Logarithm of E/I Ratio as it Relates to Water in Fibromyalgia (Coefficient of Determination) | Baseline visit (up to 45 min) | Linear regression was used to evaluate the scalar relationship between E/I ratio as it relates to water and Thermal Pain Threshold with E/I as the independent variable and Thermal Pain Threshold as the dependent variable. |
| Linear Regression of Thermal Pain Tolerance to Logarithm of E/I Ratio as it Relates to Water in Fibromyalgia (Coefficient of Determination) | Baseline visit (up to 45 min) | Linear regression was used to evaluate the scalar relationship between E/I ratio as it relates to water and Thermal Pain Tolerance with E/I as the independent variable and Thermal Pain Tolerance as the dependent variable. |
| Linear Regression of Thermal Pain Threshold to Logarithm of E/I Ratio as it Relates to Creatine in Fibromyalgia (Coefficient of Determination) | Baseline visit (up to 45 min) | Linear regression was used to evaluate the scalar relationship between E/I ratio as it relates to creatine and Thermal Pain Threshold with E/I as the independent variable and Thermal Pain Threshold as the dependent variable. |
| Linear Regression of Thermal Pain Tolerance to Logarithm of E/I Ratio as it Relates to Creatine in Fibromyalgia (Coefficient of Determination) | Baseline visit (up to 45 min) | Linear regression was used to evaluate the scalar relationship between E/I ratio as it relates to creatine and Thermal Pain Tolerance with E/I as the independent variable and Thermal Pain Tolerance as the dependent variable. |
| Change in the Numeric Pain Rating Scale | Baseline and immediately post-rTMS (up to 30 minutes) | To determine the effect of active, inhibitory rTMS (cTBS) over L-DLPFC on modulating the neural network that underlies hypnotic analgesia (HA). Numeric Pain Rating Scale scores range from 0 to 10 (low to high pain intensity). |
Countries
United States
Participant flow
Pre-assignment details
1,058 individuals completed the online interest survey; 157 completed in-person screening, and 101 were randomized to a study arm.
Participants by arm
| Arm | Count |
|---|---|
| Active rTMS The active group received active repetitive Transcranial Magnetic Stimulation
Active repetitive Transcranial Magnetic Stimulation: The investigators performed two applications of 40s of continuous theta-burst stimulation (cTBS) form of rTMS at 80% resting motor threshold (previously determined), with a 15 minute intersession interval. The standardized treatment location for the left DLPFC was determined by Localite Neuronavigation and targeted at the posterior middle frontal gyrus. The baseline structural scan obtained during the scan 1 was utilized for this localization process. rTMS was delivered using a MagPro TMS system (MagVenture, Denmark). | 49 |
| Sham rTMS The sham repetitive Transcranial Magnetic Stimulation group had the stimulation blocked.
Sham repetitive Transcranial Magnetic Stimulation: This was identical to active rTMS except the stimulation was blocked. Both active and sham repetitive Transcranial Magnetic Stimulation received simulation from a specially designed coil which is capable of delivering either active rTMS or sham rTMS in a manner, which is randomized by the system itself and therefore blinded to the treater. Sham rTMS was delivered using a MagPro TMS system (MagVenture, Denmark). | 52 |
| Total | 101 |
Withdrawals & dropouts
| Period | Reason | FG000 | FG001 |
|---|---|---|---|
| Overall Study | Claustrophobia | 2 | 2 |
| Overall Study | Non-compliance | 1 | 2 |
| Overall Study | Positive toxicology screen | 0 | 2 |
| Overall Study | Severe anxiety | 0 | 1 |
| Overall Study | Withdrawal by Subject | 6 | 5 |
Baseline characteristics
| Characteristic | Sham rTMS | Total | Active rTMS |
|---|---|---|---|
| Age, Categorical <=18 years | 1 Participants | 1 Participants | 0 Participants |
| Age, Categorical >=65 years | 1 Participants | 3 Participants | 2 Participants |
| Age, Categorical Between 18 and 65 years | 50 Participants | 97 Participants | 47 Participants |
| Age, Continuous | 50 years STANDARD_DEVIATION 11.6 | 49.47 years STANDARD_DEVIATION 12.15 | 48.9 years STANDARD_DEVIATION 12.8 |
| Race (NIH/OMB) American Indian or Alaska Native | 1 Participants | 2 Participants | 1 Participants |
| Race (NIH/OMB) Asian | 1 Participants | 4 Participants | 3 Participants |
| Race (NIH/OMB) Black or African American | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) More than one race | 1 Participants | 6 Participants | 5 Participants |
| Race (NIH/OMB) Native Hawaiian or Other Pacific Islander | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Unknown or Not Reported | 9 Participants | 14 Participants | 5 Participants |
| Race (NIH/OMB) White | 40 Participants | 75 Participants | 35 Participants |
| Region of Enrollment United States | 52 participants | 101 participants | 49 participants |
| Sex: Female, Male Female | 48 Participants | 96 Participants | 48 Participants |
| Sex: Female, Male Male | 4 Participants | 5 Participants | 1 Participants |
Adverse events
| Event type | EG000 affected / at risk | EG001 affected / at risk |
|---|---|---|
| deaths Total, all-cause mortality | 0 / 49 | 0 / 52 |
| other Total, other adverse events | 1 / 49 | 2 / 52 |
| serious Total, serious adverse events | 0 / 49 | 0 / 52 |
Outcome results
The Change in Functional Connectivity (FC) Between the Left Dorsolateral Prefrontal Cortex (L-DLPFC) and the Dorsal Anterior Cingulate Cortex (dACC)
Functional MRI (fMRI) measures changes in oxygenated blood in the brain; at rest these levels fluctuate over time. These fluctuations can be similar between different brain regions. FC is the similarity in fluctuations of these fMRI signals and suggests how strongly two regions communicate with each other. We measured how inhibitory continuous theta-burst stimulation (cTBS) over L-DLPFC changes FC between L-DLPFC and dACC. This was done by estimating z-transformed correlation coefficients (CC) for each voxel (-1 to 1) between the L-DLPFC and dACC pre and post cTBS intervention. Negative FC was assigned to voxels with a weight \< 0, positive FC to voxels with weight\> 0. Total FC includes positive and negative voxels. The change in FC is regarded as the change in the sum of these weighted voxels from pre to post cTBS for total, positive and negative FC, respectively. Greater sums of voxels correspond to more significant levels of coordinated activity (positive, negative, or total).
Time frame: Baseline and at 15-20 min post-TMS (up to 30 min)
Population: Participants with resting-state scans for both pre and post-TMS conditions that passed QC and motion-based scan inclusion criteria; outlier data were excluded.
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Active rTMS | The Change in Functional Connectivity (FC) Between the Left Dorsolateral Prefrontal Cortex (L-DLPFC) and the Dorsal Anterior Cingulate Cortex (dACC) | Change in sum of positive z-transformed CC. | 61.98 Z-transformed CC | Standard Error 21.63 |
| Active rTMS | The Change in Functional Connectivity (FC) Between the Left Dorsolateral Prefrontal Cortex (L-DLPFC) and the Dorsal Anterior Cingulate Cortex (dACC) | Change in sum of negative z-transformed CC. | -21.41 Z-transformed CC | Standard Error 16.8 |
| Active rTMS | The Change in Functional Connectivity (FC) Between the Left Dorsolateral Prefrontal Cortex (L-DLPFC) and the Dorsal Anterior Cingulate Cortex (dACC) | Change in sum of all z-transformed CC. | 40.56 Z-transformed CC | Standard Error 32.34 |
| Sham rTMS | The Change in Functional Connectivity (FC) Between the Left Dorsolateral Prefrontal Cortex (L-DLPFC) and the Dorsal Anterior Cingulate Cortex (dACC) | Change in sum of positive z-transformed CC. | 4.16 Z-transformed CC | Standard Error 16.43 |
| Sham rTMS | The Change in Functional Connectivity (FC) Between the Left Dorsolateral Prefrontal Cortex (L-DLPFC) and the Dorsal Anterior Cingulate Cortex (dACC) | Change in sum of negative z-transformed CC. | -13.22 Z-transformed CC | Standard Error 16.8 |
| Sham rTMS | The Change in Functional Connectivity (FC) Between the Left Dorsolateral Prefrontal Cortex (L-DLPFC) and the Dorsal Anterior Cingulate Cortex (dACC) | Change in sum of all z-transformed CC. | -9.06 Z-transformed CC | Standard Error 28.25 |
Alterations in Pain Perception in Fibromyalgia
To characterize clinical pain measures, which are defined as thermal pain threshold and thermal pain tolerance. Thermal pain threshold is determined as the temperature of a thermode determined as painful (degrees Celsius) by a participant. Thermal pain tolerance extends this to the point at which discontinuation is necessary (degrees Celsius).
Time frame: Baseline visit (up to 30 min)
Population: Participants with baseline MegaPress scan data
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Active rTMS | Alterations in Pain Perception in Fibromyalgia | Thermal Pain Tolerance (degrees Celsius) | 47.8 Degrees Celsius | Standard Deviation 2.51 |
| Active rTMS | Alterations in Pain Perception in Fibromyalgia | Thermal Pain Threshold (degrees Celsius) | 44.6 Degrees Celsius | Standard Deviation 3.55 |
Change in Hypnotic Induction Profile Score
The investigators used the Hypnotic Induction Profile (HIP) to determine the effect of active, inhibitory rTMS (cTBS) over L-DLPFC on enhancing hypnotizability. HIP scores range from 0 to 10 (low to high hypnotizability).
Time frame: Baseline and Immediately post rTMS (up to 30 min)
Population: Participants with available data are included in the analysis
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Active rTMS | Change in Hypnotic Induction Profile Score | .63 score on a scale | Standard Deviation 1.18 |
| Sham rTMS | Change in Hypnotic Induction Profile Score | .31 score on a scale | Standard Deviation 1.67 |
Change in Sense of Agency Rating Scale (SOARS)
The investigators used the Sense of Agency Rating Scale (SOARS) to determine the effect of active, inhibitory rTMS (cTBS) over L-DLPFC on altering the subjective sense of agency during hypnotizability. SOARS scores are calculated for Involuntariness and Effortlessness, each range from 0 to 35 (low to high).
Time frame: Baseline and immediately post-rTMS (up to 30 min)
Population: Participants who completed the protocol and completed all items of the SOARS are included in the analysis.
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Active rTMS | Change in Sense of Agency Rating Scale (SOARS) | Involuntariness | .3529 score on a scale | Standard Deviation 3.3654 |
| Active rTMS | Change in Sense of Agency Rating Scale (SOARS) | Effortlessness | .8857 score on a scale | Standard Deviation 3.5378 |
| Sham rTMS | Change in Sense of Agency Rating Scale (SOARS) | Involuntariness | 1.1034 score on a scale | Standard Deviation 3.8391 |
| Sham rTMS | Change in Sense of Agency Rating Scale (SOARS) | Effortlessness | .2727 score on a scale | Standard Deviation 3.1551 |
Change in The Hypnosis Intensity Scale
The investigators used the Hypnotic Intensity Scale (HIS) to determine the effect of active, inhibitory rTMS (cTBS) over L-DLPFC on enhancing hypnotic intensity. HIS scores range from 0 to 10 (low to high hypnotic intensity).
Time frame: Baseline and immediately post rTMS (up to 2 hrs)
Population: Participants who completed the protocol and completed HIS ratings are included in the analysis.
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Active rTMS | Change in The Hypnosis Intensity Scale | .475 score on a scale | Standard Deviation 2.242 |
| Sham rTMS | Change in The Hypnosis Intensity Scale | -.128 score on a scale | Standard Deviation 1.49 |
Change in the Numeric Pain Rating Scale
To determine the effect of active, inhibitory rTMS (cTBS) over L-DLPFC on modulating the neural network that underlies hypnotic analgesia (HA). Numeric Pain Rating Scale scores range from 0 to 10 (low to high pain intensity).
Time frame: Baseline and immediately post-rTMS (up to 30 minutes)
Population: Participants with available data are included in the analysis
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Active rTMS | Change in the Numeric Pain Rating Scale | Non-hypnosis condition | -0.13 mean change of scores on a scale | Standard Error 0.2 |
| Active rTMS | Change in the Numeric Pain Rating Scale | Hypnosis condition | -0.09 mean change of scores on a scale | Standard Error 0.2 |
| Sham rTMS | Change in the Numeric Pain Rating Scale | Non-hypnosis condition | 0.19 mean change of scores on a scale | Standard Error 0.19 |
| Sham rTMS | Change in the Numeric Pain Rating Scale | Hypnosis condition | -0.05 mean change of scores on a scale | Standard Error 0.19 |
Linear Regression of Thermal Pain Threshold to Logarithm of E/I Ratio as it Relates to Creatine in Fibromyalgia (Coefficient of Determination)
Linear regression was used to evaluate the scalar relationship between E/I ratio as it relates to creatine and Thermal Pain Threshold with E/I as the independent variable and Thermal Pain Threshold as the dependent variable.
Time frame: Baseline visit (up to 45 min)
Population: Participants with baseline MegaPress scan data
| Arm | Measure | Value (NUMBER) |
|---|---|---|
| Active rTMS | Linear Regression of Thermal Pain Threshold to Logarithm of E/I Ratio as it Relates to Creatine in Fibromyalgia (Coefficient of Determination) | 0.083 Coefficient of determination |
Linear Regression of Thermal Pain Threshold to Logarithm of E/I Ratio as it Relates to Water in Fibromyalgia (Coefficient of Determination)
Linear regression was used to evaluate the scalar relationship between E/I ratio as it relates to water and Thermal Pain Threshold with E/I as the independent variable and Thermal Pain Threshold as the dependent variable.
Time frame: Baseline visit (up to 45 min)
Population: Participants with baseline MegaPress scan data
| Arm | Measure | Value (NUMBER) |
|---|---|---|
| Active rTMS | Linear Regression of Thermal Pain Threshold to Logarithm of E/I Ratio as it Relates to Water in Fibromyalgia (Coefficient of Determination) | 0.104 Coefficient of determination |
Linear Regression of Thermal Pain Tolerance to Logarithm of E/I Ratio as it Relates to Creatine in Fibromyalgia (Coefficient of Determination)
Linear regression was used to evaluate the scalar relationship between E/I ratio as it relates to creatine and Thermal Pain Tolerance with E/I as the independent variable and Thermal Pain Tolerance as the dependent variable.
Time frame: Baseline visit (up to 45 min)
Population: Participants with baseline MegaPress scan data
| Arm | Measure | Value (NUMBER) |
|---|---|---|
| Active rTMS | Linear Regression of Thermal Pain Tolerance to Logarithm of E/I Ratio as it Relates to Creatine in Fibromyalgia (Coefficient of Determination) | 0.103 Coefficient of determination |
Linear Regression of Thermal Pain Tolerance to Logarithm of E/I Ratio as it Relates to Water in Fibromyalgia (Coefficient of Determination)
Linear regression was used to evaluate the scalar relationship between E/I ratio as it relates to water and Thermal Pain Tolerance with E/I as the independent variable and Thermal Pain Tolerance as the dependent variable.
Time frame: Baseline visit (up to 45 min)
Population: Participants with baseline MegaPress scan data
| Arm | Measure | Value (NUMBER) |
|---|---|---|
| Active rTMS | Linear Regression of Thermal Pain Tolerance to Logarithm of E/I Ratio as it Relates to Water in Fibromyalgia (Coefficient of Determination) | 0.104 Coefficient of determination |
Linear Relationship Between the Change in FC of the VAN to the DMN and the Change in Stroop Interference (Correlation Coefficient) With Hypnosis Intervention.
Spearman's correlation was used to determine the linear relationship between the Stroop interference and the change the resting-state network FC between the VAN and the DMN when the hypnosis intervention was implemented. In psychology, the Stroop effect is the delay in reaction time between congruent and incongruent stimuli.
Time frame: Baseline and at 15-20 min post-TMS (up to 1 hr)
Population: Population consisted of patients with fibromyalgia who underwent either active or sham cTBS either in combination with hypnosis or without it. Participants were excluded from the original sample for 1) poor Stroop task performance, 2) fMRI imaging problems, 3) missing data. Subjects who had pre and post TMS resting-state fMRI scans that passed QC and motion-based inclusion criteria were included.
| Arm | Measure | Value (NUMBER) |
|---|---|---|
| Active rTMS | Linear Relationship Between the Change in FC of the VAN to the DMN and the Change in Stroop Interference (Correlation Coefficient) With Hypnosis Intervention. | 0.07 Correlation Coefficient |
| Sham rTMS | Linear Relationship Between the Change in FC of the VAN to the DMN and the Change in Stroop Interference (Correlation Coefficient) With Hypnosis Intervention. | 0.28 Correlation Coefficient |
Linear Relationship Between the Change in FC of the VAN to the DMN and the Change in Stroop Interference (Correlation Coefficient) With no Hypnosis Intervention.
Spearman's correlation was used to determine the linear relationship between the Stroop interference and the change the resting-state network FC between the VAN and the DMN when no hypnosis intervention was implemented. In psychology, the Stroop effect is the delay in reaction time between congruent and incongruent stimuli.
Time frame: Baseline and at 15-20 min post-TMS (up to 1 hr)
Population: Population consisted of patients with fibromyalgia who underwent either active or sham cTBS either in combination with hypnosis or without it. Participants were excluded from the original sample for 1) poor Stroop task performance, 2) fMRI imaging problems, 3) missing data. Subjects who had pre and post TMS resting-state fMRI scans that passed QC and motion-based inclusion criteria were included.
| Arm | Measure | Value (NUMBER) |
|---|---|---|
| Active rTMS | Linear Relationship Between the Change in FC of the VAN to the DMN and the Change in Stroop Interference (Correlation Coefficient) With no Hypnosis Intervention. | 0.24 Correlation Coefficient |
| Sham rTMS | Linear Relationship Between the Change in FC of the VAN to the DMN and the Change in Stroop Interference (Correlation Coefficient) With no Hypnosis Intervention. | -0.44 Correlation Coefficient |
Linear Relationship Between the Change in FC of the VAN to the DMN and the Change in Stroop Performance (Correlation Coefficient) With Hypnosis Intervention.
Spearman's correlation was used to determine the linear relationship between the response time taken to answer incongruent Stroop task blocks (a measure of Stroop performance) and the change the resting-state network FC between the VAN and the DMN when the hypnosis intervention was implemented.
Time frame: Baseline and at 15-20 min post-TMS (up to 1 hr)
Population: Population consisted of patients with fibromyalgia who underwent either active or sham cTBS either in combination with hypnosis or without it. Participants were excluded from the original sample for 1) poor Stroop task performance, 2) fMRI imaging problems, 3) missing data. Subjects who had pre and post TMS resting-state fMRI scans that passed QC and motion-based inclusion criteria were included.
| Arm | Measure | Value (NUMBER) |
|---|---|---|
| Active rTMS | Linear Relationship Between the Change in FC of the VAN to the DMN and the Change in Stroop Performance (Correlation Coefficient) With Hypnosis Intervention. | 0.16 Correlation Coefficient |
| Sham rTMS | Linear Relationship Between the Change in FC of the VAN to the DMN and the Change in Stroop Performance (Correlation Coefficient) With Hypnosis Intervention. | 0.16 Correlation Coefficient |
Linear Relationship Between the Change in FC of the VAN to the DMN and the Change in Stroop Performance (Correlation Coefficient) With no Hypnosis Intervention.
Spearman's correlation was used to determine the linear relationship between the response time taken to answer incongruent Stroop task blocks (a measure of Stroop performance) and the change the resting-state network FC between the VAN and the DMN when no hypnosis intervention was implemented.
Time frame: Baseline and at 15-20 min post-TMS (up to 1 hr)
Population: Population consisted of patients with fibromyalgia who underwent either active or sham cTBS either in combination with hypnosis or without it. Participants were excluded from the original sample for 1) poor Stroop task performance, 2) fMRI imaging problems, 3) missing data. Subjects who had pre and post TMS resting-state fMRI scans that passed QC and motion-based inclusion criteria were included.
| Arm | Measure | Value (NUMBER) |
|---|---|---|
| Active rTMS | Linear Relationship Between the Change in FC of the VAN to the DMN and the Change in Stroop Performance (Correlation Coefficient) With no Hypnosis Intervention. | 0.18 Correlation Coefficient |
| Sham rTMS | Linear Relationship Between the Change in FC of the VAN to the DMN and the Change in Stroop Performance (Correlation Coefficient) With no Hypnosis Intervention. | -0.58 Correlation Coefficient |
Metabolic Alterations in Fibromyalgia (FMS) Defined by Excitatory / Inhibitory Ratio
E/I ratio is defined as the logarithm of the concentration of Glx (excitatory neurotransmitter metabolite complex) /GABA+ (inhibitory neurotransmitter metabolite complex) relative to either water or creatine peak signal and it is a unitless measure ranging from -1 to 1. Logarithmic transformations are used to account for non-normal distributions of metabolite concentrations across participants and ratios \> 0 are thought to be excitatory neurotransmitter dominant while ratios \<0 are thought to be inhibition dominant.
Time frame: Baseline Scan (up to 15 min)
Population: Participants with baseline MegaPress scan data
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Active rTMS | Metabolic Alterations in Fibromyalgia (FMS) Defined by Excitatory / Inhibitory Ratio | GABA+/Cr | 0.10 Ratio | Standard Deviation 0.02 |
| Active rTMS | Metabolic Alterations in Fibromyalgia (FMS) Defined by Excitatory / Inhibitory Ratio | GABA+/Water | 1.72 Ratio | Standard Deviation 0.33 |
| Active rTMS | Metabolic Alterations in Fibromyalgia (FMS) Defined by Excitatory / Inhibitory Ratio | Glx/Cr | 0.09 Ratio | Standard Deviation 0.01 |
| Active rTMS | Metabolic Alterations in Fibromyalgia (FMS) Defined by Excitatory / Inhibitory Ratio | Glx/Water | 5.43 Ratio | Standard Deviation 0.82 |
| Active rTMS | Metabolic Alterations in Fibromyalgia (FMS) Defined by Excitatory / Inhibitory Ratio | Log E/I Cr | -0.06 Ratio | Standard Deviation 0.08 |
| Active rTMS | Metabolic Alterations in Fibromyalgia (FMS) Defined by Excitatory / Inhibitory Ratio | Log E/I Water | 0.50 Ratio | Standard Deviation 0.08 |
Metabolic Changes in L-DLPFC Pre- and Post-rTMS
To determine the relationship between the metabolic alterations pre and post-rTMS. Metabolic changes as measured by MEGA-PRESS spectroscopy were assessed by quantification of excitatory (Glx) and inhibitory (GABA+) neurotransmitter complexes. The E/I ratio is defined as the logarithm of the concentration of Glx/GABA+relative to either the reference water or creatine signal and it is a unitless measure ranging from -1 to 1. Logarithmic transformations are used to account for non-normal distributions of metabolite concentrations across participants and ratios \> 0 are thought to be excitatory neurotransmitter dominant while ratios \<0 are thought to be inhibition dominant.
Time frame: Baseline Scan and at 15-20 min post-TMS (up to 30 min)
Population: Participants with available data
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Active rTMS | Metabolic Changes in L-DLPFC Pre- and Post-rTMS | Log E/I Water Pre-TMS | 0.487 Ratio | Standard Deviation 0.075 |
| Active rTMS | Metabolic Changes in L-DLPFC Pre- and Post-rTMS | Log E/I Water Post-TMS | 0.494 Ratio | Standard Deviation 0.073 |
| Active rTMS | Metabolic Changes in L-DLPFC Pre- and Post-rTMS | Log E/I Creatine Pre-TMS | -0.075 Ratio | Standard Deviation 0.075 |
| Active rTMS | Metabolic Changes in L-DLPFC Pre- and Post-rTMS | Log E/I Creatine Post-TMS | -0.068 Ratio | Standard Deviation 0.073 |
| Sham rTMS | Metabolic Changes in L-DLPFC Pre- and Post-rTMS | Log E/I Creatine Post-TMS | -0.057 Ratio | Standard Deviation 0.108 |
| Sham rTMS | Metabolic Changes in L-DLPFC Pre- and Post-rTMS | Log E/I Water Pre-TMS | 0.486 Ratio | Standard Deviation 0.092 |
| Sham rTMS | Metabolic Changes in L-DLPFC Pre- and Post-rTMS | Log E/I Creatine Pre-TMS | -0.076 Ratio | Standard Deviation 0.092 |
| Sham rTMS | Metabolic Changes in L-DLPFC Pre- and Post-rTMS | Log E/I Water Post-TMS | 0.505 Ratio | Standard Deviation 0.109 |
Stroop Task
Active, inhibitory cTBS effect over L-DLPFC on the neural network that underlies the hypnotic Stroop modulation effect was determined by first estimating the average of connectivity weights for all parcel pairs linking Ventral Attentional Network (VAN) to the DMN. Parcels are determined by extracting mean resting state BOLD time-series for each region of the Schaefer 100 parcellation. A correlation matrix between all parcels is created and FC weights for each pair are established by estimating z-transformed correlation coefficients (CC) (-1 to 1). Each parcel pair is then assigned to one of the 7 resting state networks defined by Yeo et al., (2011). Negative FC is defined for parcel pairs with a weight \< 0, positive FC pairs with weight \> 0 and total FC includes all pairs. FC is thus the average value between parcel pairs in the DMN and VAN pre/post TMS. Greater sums of weighted pairs correspond to more significant levels of coordinated activity (positive, negative, or total).
Time frame: Baseline and at 15-20 min post-TMS (up to 30 min)
Population: Subjects who had pre and post TMS resting-state fMRI scans that passed QC and motion-based inclusion criteria
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Active rTMS | Stroop Task | -0.026 Z-transformed CC | Standard Error 0.0265 |
| Sham rTMS | Stroop Task | 0.155 Z-transformed CC | Standard Error 0.0297 |
The Change in Functional Connectivity (FC) Within The Neural Network Underlying Conflict Regulation.
We examined the effect of active, inhibitory cTBS over L-DLPFC on functional connectivity (FC) in key nodes in the neural network underlying the conflict regulation system. FC between each voxel in the L-DLPFC and the entire dACC was established by estimating z-transformed correlation coefficients (CC) for each voxel (-1 to 1) pre and post cTBS intervention. This paradigm was also used for voxels in the Default Mode Network (DMN) (Schaefer, 2018; Yeo, 2011) to the entire right inferior frontal gyrus (rIFG). Negative FC was assigned to voxels with a weight \< 0, positive FC to voxels with weight \> 0. Total FC includes positive and negative voxels. The change in FC is regarded as the change in the sum of these weighted voxels from pre to post cTBS for total, positive and negative FC, respectively. Greater sums of voxels correspond to more significant levels of coordinated activity (positive, negative, or total).
Time frame: Baseline and at 15-20 min post-TMS (up to 30 min)
Population: Population consisted of patients with fibromyalgia who underwent either active or sham cTBS either in combination with hypnosis or without it. Participants were excluded from the original sample for 1) fMRI imaging problems, 2) missing data. For the analyses below additional outliers were excluded on a test by test basis.
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Active rTMS | The Change in Functional Connectivity (FC) Within The Neural Network Underlying Conflict Regulation. | Change in sum of all z-transformed CC in L-DLPFC. | 0.01 Z-transformed CC | Standard Deviation 0.14 |
| Active rTMS | The Change in Functional Connectivity (FC) Within The Neural Network Underlying Conflict Regulation. | Change in sum of positive z-transformed CC in L-DLPFC. | 33.76 Z-transformed CC | Standard Deviation 136.5 |
| Active rTMS | The Change in Functional Connectivity (FC) Within The Neural Network Underlying Conflict Regulation. | Change in sum of negative z-transformed CC in L-DLPFC. | -20.36 Z-transformed CC | Standard Deviation 88.88 |
| Active rTMS | The Change in Functional Connectivity (FC) Within The Neural Network Underlying Conflict Regulation. | Change in sum of all z-transformed CC in DMN. | 0.004 Z-transformed CC | Standard Deviation 0.05 |
| Active rTMS | The Change in Functional Connectivity (FC) Within The Neural Network Underlying Conflict Regulation. | Change in sum of positive z-transformed CC in DMN. | -31.20 Z-transformed CC | Standard Deviation 137.73 |
| Active rTMS | The Change in Functional Connectivity (FC) Within The Neural Network Underlying Conflict Regulation. | Change in sum of negative z-transformed CC in DMN. | 51.35 Z-transformed CC | Standard Deviation 243.68 |
| Sham rTMS | The Change in Functional Connectivity (FC) Within The Neural Network Underlying Conflict Regulation. | Change in sum of positive z-transformed CC in DMN. | 21.12 Z-transformed CC | Standard Deviation 153.54 |
| Sham rTMS | The Change in Functional Connectivity (FC) Within The Neural Network Underlying Conflict Regulation. | Change in sum of all z-transformed CC in L-DLPFC. | -0.003 Z-transformed CC | Standard Deviation 0.13 |
| Sham rTMS | The Change in Functional Connectivity (FC) Within The Neural Network Underlying Conflict Regulation. | Change in sum of all z-transformed CC in DMN. | -0.01 Z-transformed CC | Standard Deviation 0.05 |
| Sham rTMS | The Change in Functional Connectivity (FC) Within The Neural Network Underlying Conflict Regulation. | Change in sum of positive z-transformed CC in L-DLPFC. | 6.39 Z-transformed CC | Standard Deviation 99.82 |
| Sham rTMS | The Change in Functional Connectivity (FC) Within The Neural Network Underlying Conflict Regulation. | Change in sum of negative z-transformed CC in DMN. | -67.65 Z-transformed CC | Standard Deviation 219.05 |
| Sham rTMS | The Change in Functional Connectivity (FC) Within The Neural Network Underlying Conflict Regulation. | Change in sum of negative z-transformed CC in L-DLPFC. | -10.11 Z-transformed CC | Standard Deviation 96.55 |
The Change in Stroop Performance
Stroop effect is measured by the response time of a participant during the stroop task. Increases in response time indicate increased stroop effect (SE) and vice versa.
Time frame: Baseline and at 15-20 min post-TMS (up to 30 min)
Population: Population consisted of patients with fibromyalgia who underwent either active or sham cTBS either in combination with hypnosis or without it. Participants were excluded from the original sample for 1) poor Stroop task performance, 2) fMRI imaging problems, 3) missing data. For the analyses below additional outliers were excluded on a test by test basis.
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Active rTMS | The Change in Stroop Performance | Mean difference in change in Stroop effect (s) without hypnosis (TMS - no TMS) condition. | 0.01 Seconds | Standard Deviation 0.1 |
| Active rTMS | The Change in Stroop Performance | Mean difference in change in Stroop effect (s) with hypnosis (TMS - no TMS) condition. | -0.04 Seconds | Standard Deviation 0.12 |
| Sham rTMS | The Change in Stroop Performance | Mean difference in change in Stroop effect (s) without hypnosis (TMS - no TMS) condition. | -0.02 Seconds | Standard Deviation 0.082 |
| Sham rTMS | The Change in Stroop Performance | Mean difference in change in Stroop effect (s) with hypnosis (TMS - no TMS) condition. | -0.009 Seconds | Standard Deviation 0.1 |
The Change in the Neural Network Underlying Hypnotic Intensity
Blood oxygen level dependent (BOLD) signal and interleaved TMS-BOLD analyses will be used to determine the effect of active, inhibitory rTMS (cTBS) over L-DLPFC on modulating the neural network that underlies hypnotic intensity.
Time frame: Baseline and 2 hours
Population: During the study, data were not collected using interleaved TMS-BOLD, as originally planned.