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Yuqing Lei

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YNICL Journal 2022 Journal Article

The relationships between subclinical OCD symptoms, beta/gamma-band power, and the rate of evidence integration during perceptual decision making

  • Alec Solway
  • Isabella Schneider
  • Yuqing Lei

Previous studies have demonstrated that the rate of evidence integration during perceptual decision making, a specific computationally defined parameter, is negatively correlated with both subclinical symptoms of OCD measured on a continuum and categorically diagnosed patient status. However, the neural mechanisms underlying this deficit are unknown. Separate work has shown that both gamma and beta-band power are related to evidence integration, and differences in beta-band power in particular have been hypothesized to hinder flexible behavioral control. We sought to unify these two disparate literatures, one on OCD-related information processing differences constrained by behavioral data alone, and the other on the neural correlates of evidence integration. Using computational modeling and scalp EEG, we tested (N = 67) the relationships between subclinical symptom scores, drift rate, and gamma/beta-band activity during perceptual decision making. We replicated both prior work showing deficits in evidence integration as a function of OCD symptoms, and work showing a relationship between evidence integration and gamma and beta-band power. As predicted, the slope of beta-band power was correlated with OCD symptoms. However, the relationships between OCD symptoms and drift rate and the slopes of gamma and beta-band power and drift rate remained unchanged when simultaneously accounting for all variables, speaking against the hypothesis that differences in band-band power explain drift rate deficits.

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RLDM Conference 2017 Conference Abstract

Investigating Theory of Mind during cooperative decision-making

  • Jan Gläscher
  • Tessa Rusch
  • Yuqing Lei
  • Vanessa Hayes
  • Michael Spezio

Theory of Mind is commonly assess with the so-called “False Belief Task”, in which a partici- pant has abstract from her own knowledge base for successful task performance. We designed a novel task to investigate mentalizing capacities during social decision-making. Two players engage in a probabilistic choice task that also depends on the partner’s action. “Cooperative” choices (both players obtaining their respective “good” or “poor” option) are highly rewarded. After several trials of cooperation the outcome distribution of one player (the Learner) is reversed, but only the other player (the Teacher) knows about it. Thus, the Learner has a false belief about the state of the world. Following the reversal the Teacher must track how the Learner’s false belief evolves and make choices that “communicate” the contingency reversal to the Learner. The Lerner needs to recognize the Teacher’s intention and react accordingly. On each trial both players make predictions about their partner’s choices before making their own. EEG hyper- scanning data is collected from both players during the experiment. Analyses of behavioral choices and RT data suggest that both players closely monitor their partner’s choices and engage in costly mentalizing pro- cesses about their partner’s intentions. Although the Teacher knows that contingencies have reversed for the Learner, she still predicts the Learner’s formerly good choice, because the Teacher knows that the Learner cannot know about the reversal yet. Following the reversal, the Learner gradually switches to her new best choice, which is closely matched by the Teacher’s predictions. In conclusion, our novel cooperation task is triggering strong mentalizing processes, which we will model using the interactive POMDP framework to compute belief updates in both players and their level of recursive thinking when constructing a model of their partner. These model-based signals will be used to inform the analysis of the neural data.

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