The role of the cerebellum for feedback processing and behavioral switching in a reversal-learning task

被引:15
|
作者
Peterburs, Jutta [1 ]
Hofmann, David [1 ]
Becker, Michael P. I. [1 ]
Nitsch, Alexander M. [2 ]
Miltner, Wolfgang H. R. [2 ]
Straube, Thomas [1 ]
机构
[1] Univ Munster, Inst Med Psychol & Syst Neurosci, Von Esmarch Str 52, D-48149 Munster, Germany
[2] Friedrich Schiller Univ Jena, Dept Biol & Clin Psychol, Steiger 3,Haus 1, D-07743 Jena, Germany
关键词
Performance monitoring; Cognition; Internal model; Feedback processing; Cerebellum; Feedback learning; VERBAL WORKING-MEMORY; FUNCTIONAL TOPOGRAPHY; PREFRONTAL CORTEX; INTERNAL-MODELS; FMRI; REWARD; ERROR; COGNITION; EMOTION; NETWORK;
D O I
10.1016/j.bandc.2018.07.001
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Previous studies have reported cerebellar activations during error and reward processing. The present study investigated if the cerebellum differentially processes feedback depending on changes in response strategy during reversal learning, as is conceivable given its internal models for movement and thought. Negative relative to positive feedback in an fMRI-based reversal learning task was hypothesized to be associated with increased cerebellar activations. Moreover, increased activations were expected for negative feedback followed by a change in response strategy compared to negative feedback not followed by such a change, and for first positive feedback after compared to final negative feedback before a change, due to updating of internal models. As predicted, activation in lobules VI and VIIa/Crus I was increased for negative relative to positive feedback, and for final negative feedback before a change in response strategy relative to negative feedback not associated with a change. Moreover, activation was increased for first positive feedback after relative to final negative feedback before a change. These findings are consistent with updating of cerebellar internal models to accommodate new behavioral strategies. Recruitment of posterior regions in reversal learning is in line with the cerebellar functional topography, with posterior regions involved in complex motor and cognitive functions.
引用
收藏
页码:142 / 148
页数:7
相关论文
共 50 条
  • [21] AGE-RELATED-CHANGES IN EXTRACELLULAR MONOAMINE CONCENTRATIONS IN THE RAT AMYGDALA DURING A REVERSAL-LEARNING TASK
    TANAKA, J
    HORI, K
    NOMURA, M
    JOURNAL OF NEUROCHEMISTRY, 1992, 59 : S27 - S27
  • [22] The role of feedback in learning a Vernier discrimination task
    Herzog, MH
    Fahle, M
    VISION RESEARCH, 1997, 37 (15) : 2133 - 2141
  • [23] REVERSAL LEARNING: PARSING STAGES OF FEEDBACK PROCESSING AND INDIVIDUAL DIFFERENCES
    Foti, Dan
    Oumeziane, Belel
    Helie, Sebastien
    PSYCHOPHYSIOLOGY, 2016, 53 : S10 - S10
  • [24] Sufficient reliability of the behavioral and computational readouts of a probabilistic reversal learning task
    Waltmann, Maria
    Schlagenhauf, Florian
    Deserno, Lorenz
    BEHAVIOR RESEARCH METHODS, 2022, 54 (06) : 2993 - 3014
  • [25] Sufficient reliability of the behavioral and computational readouts of a probabilistic reversal learning task
    Maria Waltmann
    Florian Schlagenhauf
    Lorenz Deserno
    Behavior Research Methods, 2022, 54 : 2993 - 3014
  • [26] Understanding the Role of Feedback in Online Learning with Switching Costs
    Cheng, Duo
    Zhou, Xingyu
    Ji, Bo
    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 202, 2023, 202
  • [27] Individual Differences in Behavioral Flexibility in a Probabilistic Reversal Learning Task: An fMRI Study
    Waegeman, Anja
    Declerck, Carolyn H.
    Boone, Christophe
    Seurinck, Ruth
    Parizel, Paul M.
    JOURNAL OF NEUROSCIENCE PSYCHOLOGY AND ECONOMICS, 2014, 7 (04) : 203 - 218
  • [29] Induced Positive Mood and Cognitive Flexibility: Evidence from Task Switching and Reversal Learning
    Nusbaum, Amy T.
    Wilson, Cristina G.
    Stenson, Anthony
    Hinson, John M.
    Whitney, Paul
    COLLABRA-PSYCHOLOGY, 2018, 4 (01):
  • [30] Flexible Switching of Feedback Control Mechanisms Allows for Learning of Different Task Dynamics
    White, Olivier
    Diedrichsen, Joern
    PLOS ONE, 2013, 8 (02):