Hangfeng Huo , Elise Lesage , Wenshan Dong , Tom Verguts , Carol A. Seger , Sitong Diao , Tingyong Feng , Qi Chen
{"title":"基于模型的学习如何影响风险承担的神经基础:右小脑和左尾状神经之间的功能耦合。","authors":"Hangfeng Huo , Elise Lesage , Wenshan Dong , Tom Verguts , Carol A. Seger , Sitong Diao , Tingyong Feng , Qi Chen","doi":"10.1016/j.bandc.2023.106088","DOIUrl":null,"url":null,"abstract":"<div><p>Higher executive control capacity allows people to appropriately evaluate risk and avoid both excessive risk aversion and excessive risk-taking. The neural mechanisms underlying this relationship between executive function and risk taking are still unknown. We used voxel-based morphometry (VBM) analysis combined with resting-state functional connectivity (rs-FC) to evaluate how one component of executive function, model-based learning, relates to risk taking. We measured individuals’ use of the model-based learning system with the two-step task, and risk taking with the Balloon Analogue Risk Task. Behavioral results indicated that risk taking was positively correlated with the model-based weighting parameter ω. The VBM results showed a positive association between model-based learning and gray matter volume in the right cerebellum (RCere) and left inferior parietal lobule (LIPL). Functional connectivity results suggested that the coupling between RCere and the left caudate (LCAU) was correlated with both model-based learning and risk taking. Mediation analysis indicated that RCere-LCAU functional connectivity completely mediated the effect of model-based learning on risk taking. These results indicate that learners who favor model-based strategies also engage in more appropriate risky behaviors through interactions between reward-based learning, error-based learning and executive control subserved by a caudate, cerebellar and parietal network.</p></div>","PeriodicalId":55331,"journal":{"name":"Brain and Cognition","volume":"172 ","pages":"Article 106088"},"PeriodicalIF":2.2000,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The neural substrates of how model-based learning affects risk taking: Functional coupling between right cerebellum and left caudate\",\"authors\":\"Hangfeng Huo , Elise Lesage , Wenshan Dong , Tom Verguts , Carol A. Seger , Sitong Diao , Tingyong Feng , Qi Chen\",\"doi\":\"10.1016/j.bandc.2023.106088\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Higher executive control capacity allows people to appropriately evaluate risk and avoid both excessive risk aversion and excessive risk-taking. The neural mechanisms underlying this relationship between executive function and risk taking are still unknown. We used voxel-based morphometry (VBM) analysis combined with resting-state functional connectivity (rs-FC) to evaluate how one component of executive function, model-based learning, relates to risk taking. We measured individuals’ use of the model-based learning system with the two-step task, and risk taking with the Balloon Analogue Risk Task. Behavioral results indicated that risk taking was positively correlated with the model-based weighting parameter ω. The VBM results showed a positive association between model-based learning and gray matter volume in the right cerebellum (RCere) and left inferior parietal lobule (LIPL). Functional connectivity results suggested that the coupling between RCere and the left caudate (LCAU) was correlated with both model-based learning and risk taking. Mediation analysis indicated that RCere-LCAU functional connectivity completely mediated the effect of model-based learning on risk taking. These results indicate that learners who favor model-based strategies also engage in more appropriate risky behaviors through interactions between reward-based learning, error-based learning and executive control subserved by a caudate, cerebellar and parietal network.</p></div>\",\"PeriodicalId\":55331,\"journal\":{\"name\":\"Brain and Cognition\",\"volume\":\"172 \",\"pages\":\"Article 106088\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2023-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Brain and Cognition\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0278262623001471\",\"RegionNum\":3,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain and Cognition","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0278262623001471","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
The neural substrates of how model-based learning affects risk taking: Functional coupling between right cerebellum and left caudate
Higher executive control capacity allows people to appropriately evaluate risk and avoid both excessive risk aversion and excessive risk-taking. The neural mechanisms underlying this relationship between executive function and risk taking are still unknown. We used voxel-based morphometry (VBM) analysis combined with resting-state functional connectivity (rs-FC) to evaluate how one component of executive function, model-based learning, relates to risk taking. We measured individuals’ use of the model-based learning system with the two-step task, and risk taking with the Balloon Analogue Risk Task. Behavioral results indicated that risk taking was positively correlated with the model-based weighting parameter ω. The VBM results showed a positive association between model-based learning and gray matter volume in the right cerebellum (RCere) and left inferior parietal lobule (LIPL). Functional connectivity results suggested that the coupling between RCere and the left caudate (LCAU) was correlated with both model-based learning and risk taking. Mediation analysis indicated that RCere-LCAU functional connectivity completely mediated the effect of model-based learning on risk taking. These results indicate that learners who favor model-based strategies also engage in more appropriate risky behaviors through interactions between reward-based learning, error-based learning and executive control subserved by a caudate, cerebellar and parietal network.
期刊介绍:
Brain and Cognition is a forum for the integration of the neurosciences and cognitive sciences. B&C publishes peer-reviewed research articles, theoretical papers, case histories that address important theoretical issues, and historical articles into the interaction between cognitive function and brain processes. The focus is on rigorous studies of an empirical or theoretical nature and which make an original contribution to our knowledge about the involvement of the nervous system in cognition. Coverage includes, but is not limited to memory, learning, emotion, perception, movement, music or praxis in relationship to brain structure or function. Published articles will typically address issues relating some aspect of cognitive function to its neurological substrates with clear theoretical import, formulating new hypotheses or refuting previously established hypotheses. Clinical papers are welcome if they raise issues of theoretical importance or concern and shed light on the interaction between brain function and cognitive function. We welcome review articles that clearly contribute a new perspective or integration, beyond summarizing the literature in the field; authors of review articles should make explicit where the contribution lies. We also welcome proposals for special issues on aspects of the relation between cognition and the structure and function of the nervous system. Such proposals can be made directly to the Editor-in-Chief from individuals interested in being guest editors for such collections.