New insights into neural networks of error monitoring and clinical implications: a systematic review of ERP studies in neurological diseases

Lenzoni, S. ORCID: 0000-0003-3576-1187, Baker, J., Sumich, A.L. ORCID: 0000-0003-4333-8442 and Mograbi, D.C., 2021. New insights into neural networks of error monitoring and clinical implications: a systematic review of ERP studies in neurological diseases. Reviews in the Neurosciences. ISSN 0334-1763

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Abstract

Error monitoring allows for efficient performance of goal-directed behaviors and successful learning. Furthermore, error monitoring as a metacognitive ability, may play a crucial role for neuropsychological interventions, such as rehabilitation. In the past decades, research has suggested two electrophysiological markers for error monitoring: the error related negativity and the error positivity, thought to reflect, respectively, error detection and error awareness. Studies on several neurological diseases have investigated the alteration of the error related negativity and the error positivity, but these findings have not been summarized. Accordingly, a systematic review was conducted to understand what neurological conditions present alterations of error monitoring event-related potentials and their relation with clinical measures. Overall, ERN tended to be reduced in most neurological conditions while results related to Pe integrity are less clear. ERN and Pe were found to be associated with several measures of clinical severity. Additionally, we explored the contribution of different brain structures to neural networks underlying error monitoring, further elaborating on domain-specificity of error processing and clinical implications of findings. In conclusion, electrophysiological signatures of error monitoring could be reliable measures of neurological dysfunction and a robust tool in neuropsychological rehabilitation.

Item Type: Journal article
Publication Title: Reviews in the Neurosciences
Creators: Lenzoni, S., Baker, J., Sumich, A.L. and Mograbi, D.C.
Publisher: Walter de Gruyter GmbH
Date: 1 July 2021
ISSN: 0334-1763
Identifiers:
NumberType
10.1515/revneuro-2021-0054DOI
1481537Other
Rights: © 2021 Walter de Gruyter GmbH, Berlin/Boston.
Divisions: Schools > School of Social Sciences
Record created by: Linda Sullivan
Date Added: 02 Nov 2021 09:25
Last Modified: 02 Nov 2021 09:25
URI: http://irep.ntu.ac.uk/id/eprint/44566

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