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.
