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

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 ne...

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Main Authors: Alec Solway, Isabella Schneider, Yuqing Lei
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:NeuroImage: Clinical
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158222000407
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author Alec Solway
Isabella Schneider
Yuqing Lei
author_facet Alec Solway
Isabella Schneider
Yuqing Lei
author_sort Alec Solway
collection DOAJ
description 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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spelling doaj.art-a17296a78f1840f1be0999312584d38f2022-12-22T03:35:14ZengElsevierNeuroImage: Clinical2213-15822022-01-0134102975The relationships between subclinical OCD symptoms, beta/gamma-band power, and the rate of evidence integration during perceptual decision makingAlec Solway0Isabella Schneider1Yuqing Lei2Department of Psychology, University of Maryland-College Park, United States; Program in Neuroscience and Cognitive Science, University of Maryland-College Park, United States; Corresponding author at: Department of Psychology, 4094 Campus Dr., College Park, MD 20742, United States.Department of Psychology, University of Maryland-College Park, United StatesDepartment of Psychology, University of Maryland-College Park, United StatesPrevious 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.http://www.sciencedirect.com/science/article/pii/S2213158222000407BetaGammaDecision makingObsessive-compulsive disorderComputational modelingDrift-diffusion model
spellingShingle Alec Solway
Isabella Schneider
Yuqing Lei
The relationships between subclinical OCD symptoms, beta/gamma-band power, and the rate of evidence integration during perceptual decision making
NeuroImage: Clinical
Beta
Gamma
Decision making
Obsessive-compulsive disorder
Computational modeling
Drift-diffusion model
title The relationships between subclinical OCD symptoms, beta/gamma-band power, and the rate of evidence integration during perceptual decision making
title_full The relationships between subclinical OCD symptoms, beta/gamma-band power, and the rate of evidence integration during perceptual decision making
title_fullStr The relationships between subclinical OCD symptoms, beta/gamma-band power, and the rate of evidence integration during perceptual decision making
title_full_unstemmed The relationships between subclinical OCD symptoms, beta/gamma-band power, and the rate of evidence integration during perceptual decision making
title_short The relationships between subclinical OCD symptoms, beta/gamma-band power, and the rate of evidence integration during perceptual decision making
title_sort relationships between subclinical ocd symptoms beta gamma band power and the rate of evidence integration during perceptual decision making
topic Beta
Gamma
Decision making
Obsessive-compulsive disorder
Computational modeling
Drift-diffusion model
url http://www.sciencedirect.com/science/article/pii/S2213158222000407
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