Change, stability, and instability in the Pavlovian guidance of behaviour from adolescence to young adulthood
Pavlovian influences are important in guiding decision-making across health and psychopathology. There is an increasing interest in using concise computational tasks to parametrise such influences in large populations, and especially to track their evolution during development and changes in mental...
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description | Pavlovian influences are important in guiding decision-making across health and psychopathology. There is an increasing interest in using concise computational tasks to parametrise such influences in large populations, and especially to track their evolution during development and changes in mental health. However, the developmental course of Pavlovian influences is uncertain, a problem compounded by the unclear psychometric properties of the relevant measurements. We assessed Pavlovian influences in a longitudinal sample using a well characterised and widely used Go-NoGo task. We hypothesized that the strength of Pavlovian influences and other 'psychomarkers' guiding decision-making would behave like traits. As reliance on Pavlovian influence is not as profitable as precise instrumental decision-making in this Go-NoGo task, we expected this influence to decrease with higher IQ and age. Additionally, we hypothesized it would correlate with expressions of psychopathology. We found that Pavlovian effects had weak temporal stability, while model-fit was more stable. In terms of external validity, Pavlovian effects decreased with increasing IQ and experience within the task, in line with normative expectations. However, Pavlovian effects were poorly correlated with age or psychopathology. Thus, although this computational construct did correlate with important aspects of development, it does not meet conventional requirements for tracking individual development. We suggest measures that might improve psychometric properties of task-derived Pavlovian measures for future studies. |
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There is an increasing interest in using concise computational tasks to parametrise such influences in large populations, and especially to track their evolution during development and changes in mental health. However, the developmental course of Pavlovian influences is uncertain, a problem compounded by the unclear psychometric properties of the relevant measurements. We assessed Pavlovian influences in a longitudinal sample using a well characterised and widely used Go-NoGo task. We hypothesized that the strength of Pavlovian influences and other 'psychomarkers' guiding decision-making would behave like traits. As reliance on Pavlovian influence is not as profitable as precise instrumental decision-making in this Go-NoGo task, we expected this influence to decrease with higher IQ and age. Additionally, we hypothesized it would correlate with expressions of psychopathology. We found that Pavlovian effects had weak temporal stability, while model-fit was more stable. In terms of external validity, Pavlovian effects decreased with increasing IQ and experience within the task, in line with normative expectations. However, Pavlovian effects were poorly correlated with age or psychopathology. Thus, although this computational construct did correlate with important aspects of development, it does not meet conventional requirements for tracking individual development. We suggest measures that might improve psychometric properties of task-derived Pavlovian measures for future studies.</description><identifier>ISSN: 1553-7358</identifier><identifier>ISSN: 1553-734X</identifier><identifier>EISSN: 1553-7358</identifier><identifier>DOI: 10.1371/journal.pcbi.1006679</identifier><identifier>PMID: 30596638</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescence ; Adolescent ; Adolescent Behavior ; Adolescents ; Affect ; Anxiety ; Behavior ; Bias ; Biology and Life Sciences ; Child development ; Child psychology ; Choice Behavior ; Computation ; Computational Biology ; Computer applications ; Consortia ; Correlation ; Decision Making ; Female ; Funding ; Go/no-go discrimination learning ; Health services ; Humans ; Intelligence ; Investigations ; Laboratories ; Longitudinal Studies ; Male ; Medical imaging ; Medicine and Health Sciences ; Mental disorders ; Mental health ; Mental task performance ; Models, Psychological ; Neurosciences ; Psychiatry ; Psychometrics ; Psychopathology ; Quantitative psychology ; R&D ; Research & development ; Social Sciences ; Stability ; Supervision ; Task Performance and Analysis ; Tracking ; University colleges ; Young Adult</subject><ispartof>PLoS computational biology, 2018-12, Vol.14 (12), p.e1006679-e1006679</ispartof><rights>2018 Moutoussis et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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There is an increasing interest in using concise computational tasks to parametrise such influences in large populations, and especially to track their evolution during development and changes in mental health. However, the developmental course of Pavlovian influences is uncertain, a problem compounded by the unclear psychometric properties of the relevant measurements. We assessed Pavlovian influences in a longitudinal sample using a well characterised and widely used Go-NoGo task. We hypothesized that the strength of Pavlovian influences and other 'psychomarkers' guiding decision-making would behave like traits. As reliance on Pavlovian influence is not as profitable as precise instrumental decision-making in this Go-NoGo task, we expected this influence to decrease with higher IQ and age. Additionally, we hypothesized it would correlate with expressions of psychopathology. We found that Pavlovian effects had weak temporal stability, while model-fit was more stable. In terms of external validity, Pavlovian effects decreased with increasing IQ and experience within the task, in line with normative expectations. However, Pavlovian effects were poorly correlated with age or psychopathology. Thus, although this computational construct did correlate with important aspects of development, it does not meet conventional requirements for tracking individual development. We suggest measures that might improve psychometric properties of task-derived Pavlovian measures for future studies.</description><subject>Adolescence</subject><subject>Adolescent</subject><subject>Adolescent Behavior</subject><subject>Adolescents</subject><subject>Affect</subject><subject>Anxiety</subject><subject>Behavior</subject><subject>Bias</subject><subject>Biology and Life Sciences</subject><subject>Child development</subject><subject>Child psychology</subject><subject>Choice Behavior</subject><subject>Computation</subject><subject>Computational Biology</subject><subject>Computer applications</subject><subject>Consortia</subject><subject>Correlation</subject><subject>Decision Making</subject><subject>Female</subject><subject>Funding</subject><subject>Go/no-go discrimination learning</subject><subject>Health services</subject><subject>Humans</subject><subject>Intelligence</subject><subject>Investigations</subject><subject>Laboratories</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Medicine and Health Sciences</subject><subject>Mental disorders</subject><subject>Mental health</subject><subject>Mental task performance</subject><subject>Models, Psychological</subject><subject>Neurosciences</subject><subject>Psychiatry</subject><subject>Psychometrics</subject><subject>Psychopathology</subject><subject>Quantitative psychology</subject><subject>R&D</subject><subject>Research & development</subject><subject>Social Sciences</subject><subject>Stability</subject><subject>Supervision</subject><subject>Task Performance and Analysis</subject><subject>Tracking</subject><subject>University colleges</subject><subject>Young 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stability, and instability in the Pavlovian guidance of behaviour from adolescence to young adulthood</title><author>Moutoussis, Michael ; Bullmore, Edward T ; Goodyer, Ian M ; Fonagy, Peter ; Jones, Peter B ; Dolan, Raymond J ; Dayan, Peter</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c526t-2bc5f71b8c80eb24f78d699188226387f2206e46c597c2ec53a7ae10143c470b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adolescence</topic><topic>Adolescent</topic><topic>Adolescent Behavior</topic><topic>Adolescents</topic><topic>Affect</topic><topic>Anxiety</topic><topic>Behavior</topic><topic>Bias</topic><topic>Biology and Life Sciences</topic><topic>Child development</topic><topic>Child psychology</topic><topic>Choice Behavior</topic><topic>Computation</topic><topic>Computational Biology</topic><topic>Computer 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Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Moutoussis, Michael</au><au>Bullmore, Edward T</au><au>Goodyer, Ian M</au><au>Fonagy, Peter</au><au>Jones, Peter B</au><au>Dolan, Raymond J</au><au>Dayan, Peter</au><au>Gershman, Samuel J.</au><aucorp>Neuroscience in Psychiatry Network Research Consortium</aucorp><aucorp>on behalf of The Neuroscience in Psychiatry Network Research Consortium</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Change, stability, and instability in the Pavlovian guidance of behaviour from adolescence to young adulthood</atitle><jtitle>PLoS computational biology</jtitle><addtitle>PLoS Comput Biol</addtitle><date>2018-12-01</date><risdate>2018</risdate><volume>14</volume><issue>12</issue><spage>e1006679</spage><epage>e1006679</epage><pages>e1006679-e1006679</pages><issn>1553-7358</issn><issn>1553-734X</issn><eissn>1553-7358</eissn><abstract>Pavlovian influences are important in guiding decision-making across health and psychopathology. There is an increasing interest in using concise computational tasks to parametrise such influences in large populations, and especially to track their evolution during development and changes in mental health. However, the developmental course of Pavlovian influences is uncertain, a problem compounded by the unclear psychometric properties of the relevant measurements. We assessed Pavlovian influences in a longitudinal sample using a well characterised and widely used Go-NoGo task. We hypothesized that the strength of Pavlovian influences and other 'psychomarkers' guiding decision-making would behave like traits. As reliance on Pavlovian influence is not as profitable as precise instrumental decision-making in this Go-NoGo task, we expected this influence to decrease with higher IQ and age. Additionally, we hypothesized it would correlate with expressions of psychopathology. We found that Pavlovian effects had weak temporal stability, while model-fit was more stable. In terms of external validity, Pavlovian effects decreased with increasing IQ and experience within the task, in line with normative expectations. However, Pavlovian effects were poorly correlated with age or psychopathology. Thus, although this computational construct did correlate with important aspects of development, it does not meet conventional requirements for tracking individual development. We suggest measures that might improve psychometric properties of task-derived Pavlovian measures for future studies.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>30596638</pmid><doi>10.1371/journal.pcbi.1006679</doi><orcidid>https://orcid.org/0000-0003-0229-0091</orcidid><orcidid>https://orcid.org/0000-0002-4751-0425</orcidid><orcidid>https://orcid.org/0000-0003-3476-1839</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adolescence Adolescent Adolescent Behavior Adolescents Affect Anxiety Behavior Bias Biology and Life Sciences Child development Child psychology Choice Behavior Computation Computational Biology Computer applications Consortia Correlation Decision Making Female Funding Go/no-go discrimination learning Health services Humans Intelligence Investigations Laboratories Longitudinal Studies Male Medical imaging Medicine and Health Sciences Mental disorders Mental health Mental task performance Models, Psychological Neurosciences Psychiatry Psychometrics Psychopathology Quantitative psychology R&D Research & development Social Sciences Stability Supervision Task Performance and Analysis Tracking University colleges Young Adult |
title | Change, stability, and instability in the Pavlovian guidance of behaviour from adolescence to young adulthood |
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