scholarly journals Feature Extraction of Event-Related Potentials Using Wavelets: An Application to Human Performance Monitoring

1999 ◽  
Vol 66 (1) ◽  
pp. 89-107 ◽  
Author(s):  
Leonard J. Trejo ◽  
Mark J. Shensa
2021 ◽  
Author(s):  
Peter Egeto

Event-related potentials of performance monitoring, including N2 (conflict monitoring), error-related negativity and error positivity (ERN and Pe; error monitoring), and P3 (inhibition) have been studied. However, conflict monitoring lacks a behavioural measure, and the functional significance of ERN, Pe, and P3 are debated. To address these issues, a behavioural measure of conflict monitoring was tested by subtracting the reaction time (RT) of a simple from a choice RT task to isolate conflict monitoring; the functions of error monitoring and inhibition were examined. The RT difference correlated with the N2 area (longer conflict monitoring related to a larger N2). ERN and Pe areas were negatively and positively correlated with errors, respectively. P3 magnitude and onset were correlated with an inhibition index. The new behavioural measure provides an accessible way to study conflict monitoring. Theories of conflict monitoring for ERN, error awareness for Pe, and inhibition for P3 were replicated and extended.


2005 ◽  
Vol 19 (4) ◽  
pp. 270-274 ◽  
Author(s):  
Marcus Heldmann ◽  
Jascha Rüsseler ◽  
Thomas F. Münte

Abstract: We investigated performance monitoring of a group of healthy normal subjects in a delay of gratification paradigm. Focusing on response-locked event-related brain potentials we observed an Ne-Pe-like complex in all conditions. While there was no modulation of the Ne-like component, the subsequent Pe-like positivity was largest in conditions in which subjects went for the largest immediate reward, regardless of whether this was disadvantageous (i.e., foreclosed a larger delayed reward) or not. We interpreted the positivity as mainly reflecting the size of the immediate reward.


2017 ◽  
Vol 8 (4) ◽  
pp. 680-686
Author(s):  
Ishfaque Ahmed ◽  
Muhammad Jahangir ◽  
Syed Tanveer Iqbal ◽  
Muhammad Azhar ◽  
Imran Siddiqui

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2427
Author(s):  
Gemma Alder ◽  
Nada Signal ◽  
Usman Rashid ◽  
Sharon Olsen ◽  
Imran Khan Niazi ◽  
...  

Event related potentials (ERPs) provide insight into the neural activity generated in response to motor, sensory and cognitive processes. Despite the increasing use of ERP data in clinical research little is known about the reliability of human manual ERP labelling methods. Intra-rater and inter-rater reliability were evaluated in five electroencephalography (EEG) experts who labelled the peak negativity of averaged movement related cortical potentials (MRCPs) derived from thirty datasets. Each dataset contained 50 MRCP epochs from healthy people performing cued voluntary or imagined movement, or people with stroke performing cued voluntary movement. Reliability was assessed using the intraclass correlation coefficient and standard error of measurement. Excellent intra- and inter-rater reliability was demonstrated in the voluntary movement conditions in healthy people and people with stroke. In comparison reliability in the imagined condition was low to moderate. Post-hoc secondary epoch analysis revealed that the morphology of the signal contributed to the consistency of epoch inclusion; potentially explaining the differences in reliability seen across conditions. Findings from this study may inform future research focused on developing automated labelling methods for ERP feature extraction and call to the wider community of researchers interested in utilizing ERPs as a measure of neurophysiological change or in the delivery of EEG-driven interventions.


2003 ◽  
Vol 13 (1) ◽  
pp. 7-11 ◽  
Author(s):  
C.E. Vasios ◽  
O.K. Matsopoulos ◽  
K.S. Nikita ◽  
N. Uzunoglu

In the present work, a new method for the classification of Event Related Potentials (ERPs) is proposed. The proposed method consists of two modules: the feature extraction module and the classification module. The feature extraction module comprises the implementation of the Multivariate Autoregressive model in conjunction with the Simulated Annealing technique, for the selection of optimum features from ERPs. The classification module is implemented with a single three-layer neural network, trained with the back-propagation algorithm and classifies the data into two classes: patients and control subjects. The method, in the form of a Decision Support System (DSS), has been thoroughly tested to a number of patient data (OCD, FES, depressives and drug users), resulting successful classification up to 100%.


2009 ◽  
Vol 23 (4) ◽  
pp. 183-190 ◽  
Author(s):  
Björn Albrecht ◽  
Hartmut Heinrich ◽  
Daniel Brandeis ◽  
Henrik Uebel ◽  
Juliana Yordanova ◽  
...  

Response processing may comprise multiple systems working in parallel at different functional levels of performance monitoring. In time-frequency decompositions of response-locked event-related potentials from adults, a subprocess operating in the delta frequency band was interpreted as an index of cognitive error monitoring, distinguishable from a process with theta frequency probably related to motor control. However, it remains unclear whether such subprocesses can also be distinguished in children. In the current study, error processing was assessed in 22 normal boys aged 8 to 15 years using an Erikson Flanker task. Performance data revealed the expected indices of conflicting task demands, such as increased reaction times and error rates. A clear error-negativity was found in the response-locked event-related potentials after incompatible stimuli, and correct responses show a slow negative deflection immediately preceding the button-press, which is absent in errors. Time-frequency decompositions disclosed that a subprocess in the lower delta band preceding correct responses may reflect a more general action monitoring process sensitive to conflicting task demands that, moreover, may prevent one from making an error if it is active early enough. Processes in the delta and theta bands are modulated specifically by errors and may index motor-related monitoring in children. Moreover, these processes occurred considerably earlier for correct responses compared to errors, suggesting that their timing reflects some performance capacity. These considerations may help to clarify response processing in tasks with conflicting demands.


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