Exploring the Neural Correlates of Flow Experience with Multifaceted Tasks and a Single-Channel Prefrontal EEG Recording.
Yuqi Hang, Buyanzaya Unenbat, Shiyun Tang, Fei Wang, Bingxin Lin, Dan Zhang
Sensors (Basel, Switzerland) March 15, 2024 DOI: 10.3390/s24061894 via PubMed
Summary
AI-generated from the abstractDeep immersion in tasks, known as flow experience, has significant psychological benefits. In a study involving 28 participants, six multifaceted tasks—including mindfulness and varying levels of Tetris—were used to induce flow. EEG recordings revealed strong positive correlations between subjective flow scores and brain activity in delta, gamma, and theta bands, peaking around two minutes after task onset. The analysis indicated a maximum R² of 0.163, showcasing the effectiveness of portable EEG technology for objectively measuring flow experiences in real-world settings.
Study at a glance
| Characteristics | Observational cohort Peer reviewed |
|---|---|
| Sample size | 28 |
| Population | Healthy adults |
| Interventions | mindfulness artistic task free recall |
| Keywords | Flow experience Multifaceted tasks Single-Channel EEG |
| Citations | 13 |
| Key finding | Subjective flow scores correlated with EEG activity in delta, gamma, and theta bands, peaking around 2 minutes after task onset. |
Abstract
Flow experience, characterized by deep immersion and complete engagement in a task, is highly recognized for its positive psychological impacts. However, previous studies have been restricted to using a single type of task, and the exploration of its neural correlates has been limited. This study aimed to explore the neural correlates of flow experience with the employment of multifaceted flow-induction tasks. Six tasks spanning mindfulness, artistic tasks, free recall, and varying levels of Tetris complexity (easy, flow, and hard conditions) were employed to have relatively complete coverage of the known flow-induction tasks for a better induction of individualized flow experience. Twenty-eight participants were recruited to perform these six tasks with a single-channel prefrontal EEG recording. Significant positive correlations were observed between the subjective flow scores of the individual's best-flow-experience task and the EEG activities at the delta, gamma, and theta bands, peaking at latencies around 2 min after task onset. The outcomes of regression analysis yield a maximum R2 of 0.163. Our findings report the EEG correlates of flow experience in naturalistic settings and highlight the potential of portable and unobtrusive EEG technology for an objective measurement of flow experience.