Evaluation of error source in human performance monitoring: Validating a model using behavioral, electrophysiological and patient studies

Principal Investigator: Dr. Martin Maier

Duration: 2014- 2017

funded by: DFG, GermanResearch Foundation

Link to DFG project page (German only)

Project description:
Recent evidence suggests that the human brain is capable of an extremely rapid but yet highly specialized evaluation of the source of behavioral errors. The output of this process can be used for an efficient optimization of performance. The present project investigates the mechanisms underlying this ability by testing predictions of a novel model of performance monitoring that assumes an early evaluation process based on cognitive and affective heuristics and a late evaluation process based on working memory processing. In several series of experiments, electrophysiological markers (error-related brain potentials like the Ne/ERN) and behavioral markers of error evaluation (post-error adjustments of behavior, error classification responses) are used to validate the model in paradigms in which errors due to different sources can occur. In a collaboration study, patients with focal lesions of the rostral anterior cingulate cortex are examined to reveal the role of affective processes for the evaluation of error source. The results of the project should contribute to our understanding of performance monitoring mechanisms.

Publikations:
Maier, M. E., & Steinhauser, M. (2017). Working memory load impairs the evaluation of behavioral errors in the medial frontal cortex. Psychophysiology, 54, 1472-1482.
Di Gregorio, F., Steinhauser, M., & Maier, M.E. (2016). Error-related brain activity and error awareness in an error classification paradigm. Neuroimage, 139, 202-210.