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Aperiodic neural activity reflects metacontrol in task-switching

Jimin Yan, Shijing Yu, Moritz Mückschel, Lorenza S. Colzato, Bernhard Hommel, Christian Beste

2024Scientific Reports20 citationsDOIOpen Access PDF

Abstract

"Metacontrol" refers to the ability to find the right balance between more persistent and more flexible cognitive control styles, depending on task demands. Recent research on tasks involving response conflict regulation indicates a consistent link between aperiodic EEG activity and task conditions that demand a more or less persistent control style. In this study, we explored whether this connection between metacontrol and aperiodic activity also applies to cognitive flexibility. We examined EEG and behavioral data from two separate samples engaged in a task-switching paradigm, allowing for an internal replication of our findings. Both studies revealed that aperiodic activity significantly decreased during task switching compared to task repetition. Our results support the predictions of metacontrol theory but contradict those of traditional control theories which would have predicted the opposite pattern of results. We propose that aperiodic activity observed in EEG signals serves as a valid indicator of dynamic neuroplasticity in metacontrol, suggesting that truly adaptive metacontrol does not necessarily bias processing towards persistence in response to every control challenge, but chooses between persistence and flexibility biases depending on the nature of the challenge.

Topics & Concepts

Aperiodic graphTask (project management)Computer scienceNeuroscienceArtificial intelligenceBiologyMathematicsEngineeringCombinatoricsSystems engineeringNeural dynamics and brain functionMemory and Neural MechanismsNeuroscience and Neuropharmacology Research
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