Trial-to-trial variability and cortical processing depend on recent outcomes during human reinforcement motor learning

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Trial-to-trial variability and cortical processing depend on recent outcomes during human reinforcement motor learning. / Wiegel, Patrick; Spedden, Meaghan Elizabeth; Ramsenthaler, Christina; Beck, Mikkel Malling; Lundbye-Jensen, Jesper.

In: Neuroscience, Vol. 501, 2022, p. 85-102.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Wiegel, P, Spedden, ME, Ramsenthaler, C, Beck, MM & Lundbye-Jensen, J 2022, 'Trial-to-trial variability and cortical processing depend on recent outcomes during human reinforcement motor learning', Neuroscience, vol. 501, pp. 85-102. https://doi.org/10.1016/j.neuroscience.2022.08.012

APA

Wiegel, P., Spedden, M. E., Ramsenthaler, C., Beck, M. M., & Lundbye-Jensen, J. (2022). Trial-to-trial variability and cortical processing depend on recent outcomes during human reinforcement motor learning. Neuroscience, 501, 85-102. https://doi.org/10.1016/j.neuroscience.2022.08.012

Vancouver

Wiegel P, Spedden ME, Ramsenthaler C, Beck MM, Lundbye-Jensen J. Trial-to-trial variability and cortical processing depend on recent outcomes during human reinforcement motor learning. Neuroscience. 2022;501:85-102. https://doi.org/10.1016/j.neuroscience.2022.08.012

Author

Wiegel, Patrick ; Spedden, Meaghan Elizabeth ; Ramsenthaler, Christina ; Beck, Mikkel Malling ; Lundbye-Jensen, Jesper. / Trial-to-trial variability and cortical processing depend on recent outcomes during human reinforcement motor learning. In: Neuroscience. 2022 ; Vol. 501. pp. 85-102.

Bibtex

@article{80295ed003454eb3b34c93a731144c3b,
title = "Trial-to-trial variability and cortical processing depend on recent outcomes during human reinforcement motor learning",
abstract = "The history of our actions and their outcomes represent important information, informing choices and efficiently guiding future behavior. While unsuccessful (S-) outcomes are expected to lead to more explorative motor states and increased behavioral variability, successful (S+) outcomes are expected to reinforce the use of the previous action. Here, we show that humans attribute different values to previous actions during reinforcement motor learning when they experience S- compared to S+ outcomes. Behavioral variability after an S-  outcome is influenced more by the previous outcome than after S+ outcomes. Using electroencephalography, we show that theta band oscillations of the prefrontal cortex are most prominent during changes in two consecutive outcomes, potentially reflecting the need for enhanced cognitive control. Our results suggest that S+ experiences 'overwrite' previous motor states to a greater extent than S- experiences and that modulations in neural oscillations in the prefrontal cortex play a potential role in encoding changes in movement variability state during reinforcement motor learning.",
keywords = "Faculty of Science, Reinforcement, Motor learning, Prefrontal cortex, Variability, Neural oscillations, Exploration, Exploitation",
author = "Patrick Wiegel and Spedden, {Meaghan Elizabeth} and Christina Ramsenthaler and Beck, {Mikkel Malling} and Jesper Lundbye-Jensen",
note = "Copyright {\textcopyright} 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved.",
year = "2022",
doi = "10.1016/j.neuroscience.2022.08.012",
language = "English",
volume = "501",
pages = "85--102",
journal = "Neuroscience",
issn = "0306-4522",
publisher = "Pergamon Press",

}

RIS

TY - JOUR

T1 - Trial-to-trial variability and cortical processing depend on recent outcomes during human reinforcement motor learning

AU - Wiegel, Patrick

AU - Spedden, Meaghan Elizabeth

AU - Ramsenthaler, Christina

AU - Beck, Mikkel Malling

AU - Lundbye-Jensen, Jesper

N1 - Copyright © 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved.

PY - 2022

Y1 - 2022

N2 - The history of our actions and their outcomes represent important information, informing choices and efficiently guiding future behavior. While unsuccessful (S-) outcomes are expected to lead to more explorative motor states and increased behavioral variability, successful (S+) outcomes are expected to reinforce the use of the previous action. Here, we show that humans attribute different values to previous actions during reinforcement motor learning when they experience S- compared to S+ outcomes. Behavioral variability after an S-  outcome is influenced more by the previous outcome than after S+ outcomes. Using electroencephalography, we show that theta band oscillations of the prefrontal cortex are most prominent during changes in two consecutive outcomes, potentially reflecting the need for enhanced cognitive control. Our results suggest that S+ experiences 'overwrite' previous motor states to a greater extent than S- experiences and that modulations in neural oscillations in the prefrontal cortex play a potential role in encoding changes in movement variability state during reinforcement motor learning.

AB - The history of our actions and their outcomes represent important information, informing choices and efficiently guiding future behavior. While unsuccessful (S-) outcomes are expected to lead to more explorative motor states and increased behavioral variability, successful (S+) outcomes are expected to reinforce the use of the previous action. Here, we show that humans attribute different values to previous actions during reinforcement motor learning when they experience S- compared to S+ outcomes. Behavioral variability after an S-  outcome is influenced more by the previous outcome than after S+ outcomes. Using electroencephalography, we show that theta band oscillations of the prefrontal cortex are most prominent during changes in two consecutive outcomes, potentially reflecting the need for enhanced cognitive control. Our results suggest that S+ experiences 'overwrite' previous motor states to a greater extent than S- experiences and that modulations in neural oscillations in the prefrontal cortex play a potential role in encoding changes in movement variability state during reinforcement motor learning.

KW - Faculty of Science

KW - Reinforcement

KW - Motor learning

KW - Prefrontal cortex

KW - Variability

KW - Neural oscillations

KW - Exploration

KW - Exploitation

U2 - 10.1016/j.neuroscience.2022.08.012

DO - 10.1016/j.neuroscience.2022.08.012

M3 - Journal article

C2 - 35970424

VL - 501

SP - 85

EP - 102

JO - Neuroscience

JF - Neuroscience

SN - 0306-4522

ER -

ID: 316512630