@article{48715,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>For motor learning, the processing of behavioral outcomes is of high significance. The feedback‐related negativity (FRN) is an event‐related potential, which is often described as a correlate of the reward prediction error in reinforcement learning. The number of studies examining the FRN in motor tasks is increasing. This meta‐analysis summarizes the component in the motor domain and compares it to the cognitive domain. Therefore, a data set of a previous meta‐analysis in the cognitive domain that comprised 47 studies  was reanalyzed and compared to additional 25 studies of the motor domain. Further, a moderator analysis for the studies in the motor domain was conducted. The FRN amplitude was higher in the motor domain than in the cognitive domain. This might be related to a higher task complexity and a higher feedback ambiguity of motor tasks. The FRN latency was shorter in the motor domain than in the cognitive domain. Given that sensory information can be used as an external feedback predictor prior to the presentation of the final feedback, reward processing in the motor domain may have been faster and reduced the FRN latency. The moderator variable analysis revealed that the feedback modality influenced the FRN latency, with shorter FRN latencies after bimodal than after visual feedback. Processing of outcome feedback seems to share basic principles in both domains; however, differences exist and should be considered in FRN studies. Future research is motivated to scrutinize the effects of bimodal feedback and other moderators within the motor domain.</jats:p>}},
  author       = {{Faßbender, Laura and Krause, Daniel and Weigelt, Matthias}},
  issn         = {{0048-5772}},
  journal      = {{Psychophysiology}},
  keywords     = {{Experimental and Cognitive Psychology, Neuropsychology and Physiological Psychology, Biological Psychiatry, Cognitive Neuroscience, Developmental Neuroscience, Endocrine and Autonomic Systems, Neurology, Experimental and Cognitive Psychology, Neuropsychology and Physiological Psychology, General Neuroscience}},
  number       = {{12}},
  publisher    = {{Wiley}},
  title        = {{{Feedback processing in cognitive and motor tasks: A meta‐analysis on the feedback‐related negativity}}},
  doi          = {{10.1111/psyp.14439}},
  volume       = {{60}},
  year         = {{2023}},
}

@article{16458,
  author       = {{Bonnette, S and Diekfuss, JA and Grooms, DR and Kiefer, AW and Riley, MA and Riehm, C and Moore, C and Barber Foss, KD and DiCesare, CA and Baumeister, Jochen and Myer, GD}},
  issn         = {{0048-5772}},
  journal      = {{Psychophysiology}},
  number       = {{4}},
  pages        = {{e13530}},
  title        = {{{Electrocortical dynamics differentiate athletes exhibiting low- and high- ACL injury risk biomechanics.}}},
  doi          = {{10.1111/psyp.13530}},
  volume       = {{57}},
  year         = {{2020}},
}

@article{48702,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>ERPs in the EEG were scrutinized in learning a complex arm movement sequence with the aim to examine valence effects on processing augmented feedback during practice. Twenty‐four healthy subjects practiced one session with 192 feedback trials according to an adaptive bandwidth feedback approach with a high informational level of feedback information (i.e., amplitude and direction of errors). The bandwidth for successful performance (increase of a score for a monetary competition) was manipulated to yield a success rate (positive feedback frequency) of approximately 50% adaptive to the current performance level. This allowed a variation of feedback valence unconfounded by success rate. In line with our hypotheses, the EEG data showed a valence‐dependent feedback‐related negativity (FRN) and a later fronto‐central component at the FCz electrode as well as a P300 component at the Pz electrode. Moreover, the P300 and amplitudes in the FRN time window reduced in the second half of practice but were still dependent on feedback valence. Behavioral adjustments were larger after feedback with negative valence and were predicted by the late fronto‐central component. The data support the assumption of feedback valence‐dependent modulation of attentional cognitive involvement in motor control and learning.</jats:p>}},
  author       = {{Krause, Daniel and Koers, Timo and Maurer, Lisa Katharina}},
  issn         = {{0048-5772}},
  journal      = {{Psychophysiology}},
  keywords     = {{Experimental and Cognitive Psychology, Neuropsychology and Physiological Psychology, Biological Psychiatry, Cognitive Neuroscience, Developmental Neuroscience, Endocrine and Autonomic Systems, Neurology, Experimental and Cognitive Psychology, Neuropsychology and Physiological Psychology, General Neuroscience}},
  number       = {{3}},
  publisher    = {{Wiley}},
  title        = {{{Valence‐dependent brain potentials of processing augmented feedback in learning a complex arm movement sequence}}},
  doi          = {{10.1111/psyp.13508}},
  volume       = {{57}},
  year         = {{2019}},
}