Poster D23, Monday, March 27, 8:00 – 10:00 am, Pacific Concourse
Modulating network dynamics using Theta Burst Stimulation to vlPFC
Cammie Rolle1, Hersh Trivedi1, Karen Monuszko1, Andrew Yee1, Amit Etkin1; 1Stanford University
The ventrolateral prefrontal cortex (vlPFC) has been largely implicated as a critical neural marker of attentional bias, and a key regulator of amygdala activity. But, our mechanistic understanding of the vlPFCs circuit-specific role remains largely unknown. In the current study, we used Theta Burst Stimulation (TBS) with Transcranial Magnetic Stimulation (TMS) to elucidate vlPFC’s network dynamics and the resultant downstream behavior through the modulation of vlPFC cortical activity. Participants were randomized to receive three treatments across three sessions: continuous TBS (cTBS) to dampen vlPFC activation, intermittent TBS (iTBS) to excite vlPFC, and a sham TBS control group (mimicking the sensation of TBS). Within a given session, subjects participated in three tasks accompanying simultaneous Electroencephalogram (EEG) recordings prior to and following treatment: Resting state and single pulse Transcranial Magnetic Stimulation (spTMS) to examine changes in network connectivity, and the Attentional Bias Dot Probe task, to examine effects on behavior previously linked to the vlPFC. Analyses for resting state focused on key metrics of network connectivity and frequency-time series transforms, while the primary measure of interest for spTMS was pulse-onset Transcranial Evoked Potential (TEP). Interestingly, the effect of TBS on both behavior (Dot Probe) and network connectivity (Resting State, spTMS) was dependent upon the pre-intervention state of the participant. Participants who were initially captured by threatening stimuli differed in TBS-related measures of connectivity than those avoidant of threatening stimuli. This study is moving us closer to a more comprehensive understanding of the role of vlPFC as it relates to our affective experiences.
Topic Area: EMOTION & SOCIAL: Emotion-cognition interactions