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Cortical Spectral Dynamics in Flow and Frustration

Flow is a subjective state where tasks feel effortless and rewarding. It has been linked to distinct neural signatures, yet dynamics of these signals remain poorly understood. Here, we investigated spectral dynamics of brain activity in flow. We recorded electroencephalogram (EEG) data at positions AF7, AF8, TP9, and TP10 using a lightweight wearable device worn by ten adult participants while…

Cortical spectral dynamics play a crucial role in the subjective experience of flow, a state characterized by effortless and rewarding task performance. Researchers sought to investigate the neural signatures associated with flow by analyzing brain activity using electroencephalogram (EEG) recordings. Ten adult participants completed a go-signal task and two stop-signal tasks under varying levels of difficulty, with the aim of inducing either flow or frustration. The difficulty of the tasks was dynamically adjusted to elicit these desired states.

Time-resolved spectral power and interregional coherence were extracted from the EEG data using continuous wavelet and wavelet coherence transforms. Objective flow was assessed through participant ratings following each task block using the short-form Flow-State Scale. The subjective assessments confirmed that the flow and frustration conditions differed significantly in terms of perceived flow.

During the flow block, errors made on stop trials were found to coincide with pre-stimulus reductions in right temporoparietal gamma power, as well as frontal beta and gamma power. Additionally, there was a decrease in frontotemporal gamma coherence during flow. In contrast, frustration was associated with higher temporal beta power, suggesting a greater cognitive load.

These findings indicate that flow may involve a delicate balance of beta and gamma dynamics, and brief disruptions in these rhythms may predict task errors.

The ability to monitor spectral dynamics provides a promising avenue for closed-loop engagement monitoring applications. By detecting subtle changes in brain activity patterns, interventions can be implemented to maintain or induce flow states, ultimately enhancing performance and overall well-being.

Written by urgent.news from bioRxiv's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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