Traumatic Brain Injury
Conditions
Brief summary
21 healthy control participants will be recruited. On Day 1 they will complete reward-guided decision making tasks and questionnaires followed by a functional magnetic resonance imaging (fMRI) scan. On Days 2 and 3 they will receive repetitive transcranial magnetic stimulation (rTMS) targeting a specific part of the brain called the dorsal anterior cingulate cortex (dACC) or sham stimulation, and will then repeat a subset of the same decision making tasks and fMRI sequences. If brain stimulation modifies decision making and dACC activity, it could represent a novel way of treating patients with neural circuit deficits that impede motivated behavior. Of particular relevance to the current trial, this rTMS study will run in parallel with a study of apathy (i.e., diminished motivation) in patients with traumatic brain injury (TBI), with the goal of eventually leading to a patient-centered trial of rTMS treatment for this disruptive neuropsychiatric symptom.
Detailed description
TBI is a common and impairing acquired neurological disorder caused by a concussive event to the head. Psychiatric disorders associated with impaired decision making-in particular: apathy, or diminished motivated behavior-are common post-injury in TBI. Despite the critical importance of diagnosing and characterizing psychiatric problems such as apathy in TBI, very little is known about the neuropathologies underlying apathy in this patient group. Reinforcement learning (RL)-i.e. the process of learning the reward value of stimuli and actions-represents a fundamental cross-species construct underlying motivated decision making. Further, aberrant reward processing has been strongly implicated in symptoms of apathy in the field of computational psychiatry. Despite extensive evidence that brain injuries can lead to maladaptive motivated decision making, the specific RL aberrations that might underlie this phenomenon, and their association with psychiatric sequelae remain unclear. Therefore, extant work has failed to provide insight into the computational mechanisms underlying maladaptive decision making in patients with TBI, and such work will be critical to build a better understanding of the neuropathologies that underlie apathy in TBI. This gap in current knowledge is being targeted by a related study from which healthy controls will be recruited for the current rTMS trial. However, even if we gain a better understanding of the RL neural mechanisms that cause aberrant motivated behavior and psychiatric sequelae in TBI, translating this into an actionable target for clinical intervention remains unclear. Psychological interventions including Cognitive-Behavioral Therapy (CBT) and Motivational Interviewing (MI) have been investigated for treating symptoms of TBI. However, the potential benefit of both CBT and MI is limited in TBI, as they both rely heavily on high-level cognitive abilities-e.g. selective attention, executive control, and metacognition/insight-that are commonly impaired in this population. In addition to psychotherapies, two categories of pharmacotherapy have been investigated to reduce psychiatric sequelae in TBI: selective serotonin reuptake inhibitors (SSRIs) and dopamine agonists. A randomized controlled trial of SSRIs for TBI failed to demonstrate reductions in patient neuropsychiatric symptoms after a 10-week intervention. Multiple pilot studies (Ns=10-11) of dopamine agonists for TBI have been conducted, demonstrating preliminary support that they may reduce apathy. Yet, a recent meta-analysis suggested a high degree of unreliability in the literature on dopamine agonism in TBI. Dopamine agonists also carry the risk of significant side effects including increased apathy or maladaptive impulsivity. Unreliability and maladaptive side effects of dopaminergic medications are likely driven by their lack of circuit-specificity: They modulate dopaminergic tone throughout the brain, rather than within a dedicated neural circuit underlying a specific symptom profile. Therefore, a more effective approach to treating apathy in TBI may involve both i) avoiding therapies that rely on high-level cognition, and ii) establishing circuit-specific approaches for ameliorating patient apathy. Precise fMRI-guided rTMS represents one possible approach. The current project aims to test the efficacy of fMRI-guided TMS to RL neural circuits anchored in dorsal anterior cingulate cortex (dACC) on motivated decision making in healthy controls. Ultimately, the hope is that this approach might represent a first step towards a potential clinical intervention for TBI patients with clinical apathy.
Interventions
TMS pulses will be delivered through an air-cooled coil in either a figure-eight or double-cone shape, with the latter being particularly useful for targeting deeper structures such as dACC. The first phase of the TMS protocol will involve a standardized motor-thresholding procedure, wherein peripheral responses evoked by single TMS pulses are recorded via an electromyographic recording device. In this phase, the TMS coil's stimulation intensity is titrated to a level that is comfortable yet effective at reliably exciting neuronal populations orthogonal to the coil (50% motor-evoked potentials ≥50 microvolts; typical duration≈20-40 mins). Then repetitive TMS (rTMS) will be administered to a pre-determined cortical target based on the individual's pre-TMS fMRI scan using a Localite Neuronavigation system (duration≈10-20 mins). The rTMS protocol will involve the delivery of a train of TMS pulses over a cortical target prior to performance of behavioral tasks during a post-rTMS fMRI scan.
Sponsors
Study design
Masking description
Magventure rTMS device enables double blinding. Participant group assignment will be blind to the participant, investigator, and outcomes assessor until all subject data has been collected, at which point the group assignment will be unblinded.
Intervention model description
Sham versus active rTMS to dACC
Eligibility
Inclusion criteria
* 12 or more years of education * ability to provide informed consent independently
Exclusion criteria
* Non-fluency in English * Prior history of seizure * contraindications to MRI (metal in the body) * history of substance abuse (excluding moderate alcohol/cannabis usage) * medical diagnosis of psychosis or mania
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| dACC BOLD Signal (After Active rTMS Session) | 30 minutes post-rTMS | Encoding of trial-by-trial immediate expected value (IEV) in dorsal anterior cingulate cortex (dACC) region-of-interest that was targeted with rTMS. Expressed in units of BOLD % signal change. This primary outcome reflects IEV encoding in this region immediately after active rTMS. |
| Immediate Expected Value (IEV; After Active rTMS Visit) | 30 minutes post-rTMS | A normative computational model (POMDP) is run to fit behavioral performance on a 3-armed bandit reinforcement learning task. Weighting of immediate expected value (IEV) on this model can be generated for each subject, indicating the degree to which they relied on immediate value to drive their decisions. This between-subjects IEV parameter reflects a standardized coefficient from a multinomial logistic regression (softmax) model. Higher values indicate a greater tendency to rely on IEV when making choices. |
| Effort-Based Discounting (After Active rTMS) | 30 minutes post-rTMS | Participants make a series of effort - value tradeoff decisions on our Effort-Based Decision-Making task. Values reflect a standardized coefficient of the random subject-level intercept from a hierarchical logistic regression model fit with an interaction term, between effort and value, to index effort-based discounting of reward (i.e., the degree to which increases in effort level change the motivational salience of reward value on decisions). Higher values indicate a greater tendency to de-value rewards based on increasing effort level. |
| dACC BOLD Signal (After Sham rTMS Session) | 30 minutes post-rTMS | Encoding of trial-by-trial immediate expected value (IEV) in dorsal anterior cingulate cortex (dACC) region-of-interest that was targeted with rTMS. Expressed in units of BOLD % signal change. This primary outcome reflects IEV encoding in this region immediately after sham rTMS. |
| Immediate Expected Value (IEV; After Sham rTMS Visit) | 30 minutes post-rTMS | A normative computational model (POMDP) is run to fit behavioral performance on a 3-armed bandit reinforcement learning task. Weighting of immediate expected value (IEV) on this model can be generated for each subject, indicating the degree to which they relied on immediate value to drive their decisions. This between-subjects IEV parameter reflects a standardized coefficient from a multinomial logistic regression (softmax) model. Higher values indicate a greater tendency to rely on IEV when making choices. |
| Effort-Based Discounting (After Sham rTMS) | 30 minutes post-rTMS | Participants make a series of effort - value tradeoff decisions on our Effort-Based Decision-Making task. Values reflect a standardized coefficient of the random subject-level intercept from a hierarchical logistic regression model fit with an interaction term, between effort and value, to index effort-based discounting of reward (i.e., the degree to which increases in effort level change the motivational salience of reward value on decisions). Higher values indicate a greater tendency to de-value rewards based on increasing effort level. |
Countries
United States
Participant flow
Recruitment details
Enrollment of participants from the local Albuquerque NM community began on 8/1/21 and ended on 6/21/23. Please note that a significant number of recruited participants attended our first baseline fMRI session but did not return for the followup rTMS intervention visits. This includes a participant that completed their baseline visit on 6/21/2023 but did not return for followup due to scheduling conflicts. In total, N=12 participants completed the intervention.
Participants by arm
| Arm | Count |
|---|---|
| Active rTMS First, Then Sham rTMS Participants first complete a Baseline Visit to identify a neural target for rTMS. Then, on Visit 2 participants receive active rTMS for 10-20 minutes prior to collection of outcome measures via fMRI. Lastly, on Visit 3, participants receive sham rTMS for 10-20 minutes, and the same outcome measures are collected.
Repetitive Transcranial Magnetic Stimulation (rTMS): TMS pulses will be delivered through an air-cooled coil in either a figure-eight or double-cone shape, with the latter being particularly useful for targeting deeper structures such as dACC. The first phase of the TMS protocol will involve a standardized motor-thresholding procedure, wherein peripheral responses evoked by single TMS pulses are recorded via an electromyographic recording device. In this phase, the TMS coil's stimulation intensity is titrated to a level that is comfortable yet effective at reliably exciting neuronal populations orthogonal to the coil (50% motor-evoked potentials ≥50 microvolts; typical duration≈20-40 mins). Then repetitive TMS (rTMS) will be administered to a pre-determined cortical target based on the individual's pre-TMS fMRI scan using a Localite Neuronavigation system (duration≈10-20 mins). The rTMS protocol will involve the delivery of a train of TMS pulses over a cortical target prior to performance of behavioral tasks during a post-rTMS fMRI scan. | 11 |
| Sham rTMS First, Then Active rTMS Participants first complete a Baseline Visit to identify a neural target for rTMS. Then, on Visit 2 participants receive sham rTMS for 10-20 minutes prior to collection of outcome measures via fMRI. Lastly, on Visit 3, participants receive active rTMS for 10-20 minutes, and the same outcome measures are collected.
Repetitive Transcranial Magnetic Stimulation (rTMS): TMS pulses will be delivered through an air-cooled coil in either a figure-eight or double-cone shape, with the latter being particularly useful for targeting deeper structures such as dACC. The first phase of the TMS protocol will involve a standardized motor-thresholding procedure, wherein peripheral responses evoked by single TMS pulses are recorded via an electromyographic recording device. In this phase, the TMS coil's stimulation intensity is titrated to a level that is comfortable yet effective at reliably exciting neuronal populations orthogonal to the coil (50% motor-evoked potentials ≥50 microvolts; typical duration≈20-40 mins). Then repetitive TMS (rTMS) will be administered to a pre-determined cortical target based on the individual's pre-TMS fMRI scan using a Localite Neuronavigation system (duration≈10-20 mins). The rTMS protocol will involve the delivery of a train of TMS pulses over a cortical target prior to performance of behavioral tasks during a post-rTMS fMRI scan. | 10 |
| Total | 21 |
Withdrawals & dropouts
| Period | Reason | FG000 | FG001 |
|---|---|---|---|
| First Intervention (1 Day) | Adverse Event | 1 | 0 |
Baseline characteristics
| Characteristic | Sham rTMS First, Then Active rTMS | Active rTMS First, Then Sham rTMS | Total |
|---|---|---|---|
| Age, Categorical <=18 years | 0 Participants | 0 Participants | 0 Participants |
| Age, Categorical >=65 years | 0 Participants | 0 Participants | 0 Participants |
| Age, Categorical Between 18 and 65 years | 10 Participants | 11 Participants | 21 Participants |
| Age, Continuous | 28.14 years STANDARD_DEVIATION 9.67 | 28.14 years STANDARD_DEVIATION 9.67 | 28.14 years STANDARD_DEVIATION 9.67 |
| dACC BOLD signal | -0.92 Percentage of BOLD signal change STANDARD_DEVIATION 1.12 | -1.39 Percentage of BOLD signal change STANDARD_DEVIATION 1.26 | -1.16 Percentage of BOLD signal change STANDARD_DEVIATION 1.19 |
| Effort-Based Discounting | 0.13 beta coefficient STANDARD_DEVIATION 1.43 | 0.15 beta coefficient STANDARD_DEVIATION 1.08 | 0.14 beta coefficient STANDARD_DEVIATION 1.26 |
| Ethnicity (NIH/OMB) Hispanic or Latino | 4 Participants | 2 Participants | 6 Participants |
| Ethnicity (NIH/OMB) Not Hispanic or Latino | 6 Participants | 9 Participants | 15 Participants |
| Ethnicity (NIH/OMB) Unknown or Not Reported | 0 Participants | 0 Participants | 0 Participants |
| Immediate Expected Value (IEV) | 1.34 beta coefficient STANDARD_DEVIATION 1.1 | 1.27 beta coefficient STANDARD_DEVIATION 0.75 | 1.30 beta coefficient STANDARD_DEVIATION 0.93 |
| Race (NIH/OMB) American Indian or Alaska Native | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Asian | 1 Participants | 4 Participants | 5 Participants |
| Race (NIH/OMB) Black or African American | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) More than one race | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Native Hawaiian or Other Pacific Islander | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Unknown or Not Reported | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) White | 9 Participants | 7 Participants | 16 Participants |
| Region of Enrollment United States | 10 participants | 11 participants | 21 participants |
| Sex: Female, Male Female | 4 Participants | 4 Participants | 8 Participants |
| Sex: Female, Male Male | 6 Participants | 7 Participants | 13 Participants |
Adverse events
| Event type | EG000 affected / at risk | EG001 affected / at risk |
|---|---|---|
| deaths Total, all-cause mortality | 0 / 12 | 0 / 12 |
| other Total, other adverse events | 1 / 12 | 0 / 12 |
| serious Total, serious adverse events | 0 / 12 | 0 / 12 |
Outcome results
dACC BOLD Signal (After Active rTMS Session)
Encoding of trial-by-trial immediate expected value (IEV) in dorsal anterior cingulate cortex (dACC) region-of-interest that was targeted with rTMS. Expressed in units of BOLD % signal change. This primary outcome reflects IEV encoding in this region immediately after active rTMS.
Time frame: 30 minutes post-rTMS
Population: Several participants came for baseline visit but did not return for rTMS visits. Once participant from Arm 1 elected to discontinue rTMS and did not return for their sham visit.
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Active rTMS First, Then Sham rTMS | dACC BOLD Signal (After Active rTMS Session) | -1.14 Percentage of BOLD signal change | Standard Deviation 0.92 |
| Sham rTMS First, Then Active rTMS | dACC BOLD Signal (After Active rTMS Session) | -1.27 Percentage of BOLD signal change | Standard Deviation 0.91 |
dACC BOLD Signal (After Sham rTMS Session)
Encoding of trial-by-trial immediate expected value (IEV) in dorsal anterior cingulate cortex (dACC) region-of-interest that was targeted with rTMS. Expressed in units of BOLD % signal change. This primary outcome reflects IEV encoding in this region immediately after sham rTMS.
Time frame: 30 minutes post-rTMS
Population: Several participants came for baseline visit but did not return for rTMS visits. Once participant from Arm 1 elected to discontinue rTMS and did not return for their sham visit.
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Active rTMS First, Then Sham rTMS | dACC BOLD Signal (After Sham rTMS Session) | -1.18 Percentage of BOLD signal change | Standard Deviation 1.61 |
| Sham rTMS First, Then Active rTMS | dACC BOLD Signal (After Sham rTMS Session) | -0.96 Percentage of BOLD signal change | Standard Deviation 0.94 |
Effort-Based Discounting (After Active rTMS)
Participants make a series of effort - value tradeoff decisions on our Effort-Based Decision-Making task. Values reflect a standardized coefficient of the random subject-level intercept from a hierarchical logistic regression model fit with an interaction term, between effort and value, to index effort-based discounting of reward (i.e., the degree to which increases in effort level change the motivational salience of reward value on decisions). Higher values indicate a greater tendency to de-value rewards based on increasing effort level.
Time frame: 30 minutes post-rTMS
Population: Several participants did the baseline visit but did not return to complete the rTMS visits.
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Active rTMS First, Then Sham rTMS | Effort-Based Discounting (After Active rTMS) | 0.35 beta coefficient | Standard Deviation 1.01 |
| Sham rTMS First, Then Active rTMS | Effort-Based Discounting (After Active rTMS) | -0.62 beta coefficient | Standard Deviation 0.65 |
Effort-Based Discounting (After Sham rTMS)
Participants make a series of effort - value tradeoff decisions on our Effort-Based Decision-Making task. Values reflect a standardized coefficient of the random subject-level intercept from a hierarchical logistic regression model fit with an interaction term, between effort and value, to index effort-based discounting of reward (i.e., the degree to which increases in effort level change the motivational salience of reward value on decisions). Higher values indicate a greater tendency to de-value rewards based on increasing effort level.
Time frame: 30 minutes post-rTMS
Population: Several participants did the baseline visit but did not return to complete the rTMS visits.
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Active rTMS First, Then Sham rTMS | Effort-Based Discounting (After Sham rTMS) | 0.08 beta coefficient | Standard Deviation 0.12 |
| Sham rTMS First, Then Active rTMS | Effort-Based Discounting (After Sham rTMS) | 0.13 beta coefficient | Standard Deviation 0.18 |
Immediate Expected Value (IEV; After Active rTMS Visit)
A normative computational model (POMDP) is run to fit behavioral performance on a 3-armed bandit reinforcement learning task. Weighting of immediate expected value (IEV) on this model can be generated for each subject, indicating the degree to which they relied on immediate value to drive their decisions. This between-subjects IEV parameter reflects a standardized coefficient from a multinomial logistic regression (softmax) model. Higher values indicate a greater tendency to rely on IEV when making choices.
Time frame: 30 minutes post-rTMS
Population: Several participants completed baseline visit but did not return for rTMS visits.
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Active rTMS First, Then Sham rTMS | Immediate Expected Value (IEV; After Active rTMS Visit) | 1.22 beta coefficient | Standard Deviation 0.76 |
| Sham rTMS First, Then Active rTMS | Immediate Expected Value (IEV; After Active rTMS Visit) | 1.62 beta coefficient | Standard Deviation 0.87 |
Immediate Expected Value (IEV; After Sham rTMS Visit)
A normative computational model (POMDP) is run to fit behavioral performance on a 3-armed bandit reinforcement learning task. Weighting of immediate expected value (IEV) on this model can be generated for each subject, indicating the degree to which they relied on immediate value to drive their decisions. This between-subjects IEV parameter reflects a standardized coefficient from a multinomial logistic regression (softmax) model. Higher values indicate a greater tendency to rely on IEV when making choices.
Time frame: 30 minutes post-rTMS
Population: Several participants completed baseline visit but did not return for rTMS visits.
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Active rTMS First, Then Sham rTMS | Immediate Expected Value (IEV; After Sham rTMS Visit) | 1.06 beta coefficient | Standard Deviation 0.56 |
| Sham rTMS First, Then Active rTMS | Immediate Expected Value (IEV; After Sham rTMS Visit) | 1.32 beta coefficient | Standard Deviation 1.1 |