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A framework for neurophysiological experiments on flow states
Oliver Durcan1, Peter Holland2, Joydeep Bhattacharya2
1Department of Psychology, Goldsmiths University of London, London, UK. odurc001@gold.ac.uk.
Communications Psychology
|September 6, 2024
Summary
This study proposes a new framework and checklist to improve the neurophysiological study of flow states. It aims to standardize research methods for a more consistent understanding of optimal experience.
Area of Science:
- Neuroscience
- Psychology
- Cognitive Science
Background:
- The flow state, initially observed in intrinsically motivated activities, is increasingly studied using neurophysiology in constrained settings.
- Current neurophysiological research on flow states faces challenges in standardization and ecological validity.
- A gap exists in harmonized methodologies for investigating the neural correlates of optimal experience.
Purpose of the Study:
- To address critical considerations for studying the neurophysiology of flow states.
- To propose an activity-autonomy framework and testable hypotheses for inducing flow.
- To synthesize best practices into a comprehensive checklist for neurophysiological flow research.
Main Methods:
- Review and synthesis of existing neurophysiological flow studies.
- Development of an activity-autonomy framework to complement the challenge-skill balance.
- Creation of a 24-item checklist for methodological consistency.
Main Results:
- An activity-autonomy framework is presented to expand flow induction paradigms.
- A detailed 24-item checklist is provided for consistent neurophysiological flow research.
- Guidelines cover reporting, challenge/skill manipulation, individual differences, and data processing.
Conclusions:
- A cohesive and standardized approach is crucial for reliable neurophysiological investigation of flow states.
- The proposed framework and checklist aim to enhance the quality and comparability of flow research.
- Standardized methods will facilitate a more accurate understanding of the neural basis of optimal experience.

