ArticlePsychophysiology2021
Medial frontal negativities predict performance improvements during motor sequence but not motor adaptation learning.
Article in Psychophysiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Neural markers of error processing relate to task performance, but not to substance-related risks and problems and externalizing problems in adolescence and emerging adulthood.Developmental cognitive neuroscience · 2025Article
- Bridging event-related potentials with behavioral studies in motor learning.Frontiers in integrative neuroscience · 2023Review
- Behavioral Analysis of EEG Signals in Loss-Gain Decision-Making Experiments.Behavioural neurology · 2022Article
- Correct response negativity may reflect subjective value of reaction time under regulatory fit in a speed-rewarded task.Psychophysiology · 2021Article
- Medial frontal negativities predict performance improvements during motor sequence but not motor adaptation learning.Psychophysiology · 2021Article
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6 authors.
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Abstract
Alterations in our environment require us to learn or alter motor skills to remain efficient. Also, damage or injury may require the relearning of motor skills. Two types have been identified: movement adaptation and motor sequence learning. Doyonet al. (2003, Distinct contribution of the cortico-striatal and cortico-cerebellar systems to motor skill learning. Neuropsychologia, 41(3), 252-262) proposed a model to explain the neural mechanisms related to adaptation (cortico-cerebellar) and motor sequence learning (cortico-striatum) tasks. We hypothesized that medial frontal negativities (MFNs), event-related electrocortical responses including the error-related negativity (ERN) and correct-response-related negativity (CRN), would be trait biomarkers for skill in motor sequence learning due to their relationship with striatal neural generators in a network involving the anterior cingulate and possibly the supplementary motor area. We examined 36 participants' improvement in a motor adaptation and a motor sequence learning task and measured MFNs elicited in a separate Spatial Stroop (conflict) task. We found both ERN and CRN strongly predicted performance improvement in the sequential motor task but not in the adaptation task, supporting this aspect of the Doyon model. Interestingly, the CRN accounted for additional unique variance over the variance shared with the ERN suggesting an expansion of the model.
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