- Title
- Jointly Modeling Behavioral and EEG Measures of Proactive Control in Task Switching
- Creator
- Karayanidis, Frini; Hawkins, Guy E.; Wong, Aaron S. W.; Aziz, Fayeen; Hunter, Montana; Steyvers, Mark
- Relation
- ARC.DP200101471 http://purl.org/au-research/grants/arc/DP200101471 | DP170100756 http://purl.org/au-research/grants/arc/DP170100756
- Relation
- Psychophysiology Vol. 60, Issue 7, no. e14241
- Publisher Link
- http://dx.doi.org/10.1111/psyp.14241
- Publisher
- Wiley-Blackwell
- Resource Type
- journal article
- Date
- 2023
- Description
- In this study, we implement joint modeling of behavioral and single-trial electroencephalography (EEG) data derived from a cued-trials task-switching paradigm to test the hypothesis that trial-by-trial adjustment of response criterion can be linked to changes in the event-related potentials (ERPs) elicited during the cue-target interval (CTI). Specifically, we assess whether ERP components associated with preparation to switch task and preparation of the relevant task are linked to a response criterion parameter derived from a simple diffusion decision model (DDM). Joint modeling frameworks characterize the brain-behavior link by simultaneously modeling behavioral and neural data and implementing a linking function to bind these two submodels. We examined three joint models: The first characterized the core link between EEG and criterion, the second added a switch preparation input parameter and the third also added a task preparation input parameter. The criterion-EEG link was strongest just before target onset. Inclusion of switch and task preparation parameters did not improve the performance of the criterion-EEG link but was necessary to accurately model the ERP waveform morphology. While we successfully jointly modeled latent model parameters and EEG data from a task-switching paradigm, these findings show that customized cognitive models are needed that are tailored to the multiple cognitive control processes underlying task-switching performance. This is the first paper to implement joint modeling of behavioral measures and single-trial electroencephalography (EEG) data derived from the cue-target interval in a cued-trials task-switching paradigm. Model hyperparameters showed a strong link between response criterion and the pre-target negativity amplitude. Additional parameters (switch preparation, task preparation) were necessary to model the cue-locked ERP waveform morphology. This is consistent with multiple cognitive control processes underlying proactive control and points to the need for more nuanced models of task-switching performance.
- Subject
- elec-troencephalography (EEG); event-related potentials (ERPs); evidence accumulation; hierarchical Bayesian estimation; joint modeling; task switching
- Identifier
- http://hdl.handle.net/1959.13/1480396
- Identifier
- uon:50493
- Identifier
- ISSN:0048-5772
- Rights
- © 2023 The Authors. Psychophysiology published by Wiley Periodicals LLC on behalf of Society for Psychophysiological Research. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. (http://creativecommons.org/licenses/by-nc-nd/4.0/).
- Language
- eng
- Full Text
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