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Clarifying Cognitive Control Deficits in Psychosis via Drift Diffusion Modeling
Cognitive control deficits are consistently identified in individuals with schizophrenia and other psychotic psychopathologies. In this analysis, we delineated proactive and reactive control deficits in psychotic psychopathology via hierarchical Drift Diffusion Modeling (hDDM). People with psychosis...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10462223/ https://www.ncbi.nlm.nih.gov/pubmed/37645877 http://dx.doi.org/10.1101/2023.08.14.23293891 |
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author | Shen, Chen Calvin, Olivia L. Rawls, Eric Redish, A. David Sponheim, Scott R. |
author_facet | Shen, Chen Calvin, Olivia L. Rawls, Eric Redish, A. David Sponheim, Scott R. |
author_sort | Shen, Chen |
collection | PubMed |
description | Cognitive control deficits are consistently identified in individuals with schizophrenia and other psychotic psychopathologies. In this analysis, we delineated proactive and reactive control deficits in psychotic psychopathology via hierarchical Drift Diffusion Modeling (hDDM). People with psychosis (PwP; N=123), their first-degree relatives (N=79), and controls (N=51) completed the Dot Pattern Expectancy task, which allows differentiation between proactive and reactive control. PwP demonstrated slower drift rates on proactive control trials suggesting less efficient use of cue information for proactive control. They also showed longer non-decision times than controls on infrequent stimuli sequences suggesting slower perceptual processing. An explainable machine learning analysis indicated that the hDDM parameters were able to differentiate between the groups better than conventional measures. Through DDM, we found that cognitive control deficits in psychosis are characterized by slower motor/perceptual time and slower evidence-integration primarily in proactive control. |
format | Online Article Text |
id | pubmed-10462223 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-104622232023-08-29 Clarifying Cognitive Control Deficits in Psychosis via Drift Diffusion Modeling Shen, Chen Calvin, Olivia L. Rawls, Eric Redish, A. David Sponheim, Scott R. medRxiv Article Cognitive control deficits are consistently identified in individuals with schizophrenia and other psychotic psychopathologies. In this analysis, we delineated proactive and reactive control deficits in psychotic psychopathology via hierarchical Drift Diffusion Modeling (hDDM). People with psychosis (PwP; N=123), their first-degree relatives (N=79), and controls (N=51) completed the Dot Pattern Expectancy task, which allows differentiation between proactive and reactive control. PwP demonstrated slower drift rates on proactive control trials suggesting less efficient use of cue information for proactive control. They also showed longer non-decision times than controls on infrequent stimuli sequences suggesting slower perceptual processing. An explainable machine learning analysis indicated that the hDDM parameters were able to differentiate between the groups better than conventional measures. Through DDM, we found that cognitive control deficits in psychosis are characterized by slower motor/perceptual time and slower evidence-integration primarily in proactive control. Cold Spring Harbor Laboratory 2023-08-16 /pmc/articles/PMC10462223/ /pubmed/37645877 http://dx.doi.org/10.1101/2023.08.14.23293891 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Shen, Chen Calvin, Olivia L. Rawls, Eric Redish, A. David Sponheim, Scott R. Clarifying Cognitive Control Deficits in Psychosis via Drift Diffusion Modeling |
title | Clarifying Cognitive Control Deficits in Psychosis via Drift Diffusion Modeling |
title_full | Clarifying Cognitive Control Deficits in Psychosis via Drift Diffusion Modeling |
title_fullStr | Clarifying Cognitive Control Deficits in Psychosis via Drift Diffusion Modeling |
title_full_unstemmed | Clarifying Cognitive Control Deficits in Psychosis via Drift Diffusion Modeling |
title_short | Clarifying Cognitive Control Deficits in Psychosis via Drift Diffusion Modeling |
title_sort | clarifying cognitive control deficits in psychosis via drift diffusion modeling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10462223/ https://www.ncbi.nlm.nih.gov/pubmed/37645877 http://dx.doi.org/10.1101/2023.08.14.23293891 |
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