Evidence map›Paper›PMID 42686965›Full record

ArticleBrain topography2026

Spatiotemporal Dynamics of the Flow Experience: An EEG Microstate Analysis.

Shiva Khoshnoud, Federico Alvarez Igarzábal, Marc Wittmann

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Article in Brain topography, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Shiva KhoshnoudInstitute for Frontier Areas of Psychology and Mental Health, Freiburg, Germany. shiva.khoshnoud@gmail.com.ORCID https://orcid.org/0000-0002-0729-9717
Federico Alvarez IgarzábalInstitute for Frontier Areas of Psychology and Mental Health, Freiburg, Germany.
Marc WittmannInstitute for Frontier Areas of Psychology and Mental Health, Freiburg, Germany.

Funding

EU, Horizon 2020 Framework Program, FET Proactive 824128
6 · The paper itself

Abstract

Flow, as defined by Mihalyi Csikszentmihalyi (1975), is a holistic experience in which individuals are fully immersed in an activity, resulting in a diminished sense of self and an altered perception of time. To investigate the global neural dynamics underlying flow, we employed EEG microstate analysis, which capture the spatial and temporal properties of dominant transient global brain states (Lehmann et al. 1998). In a study involving 43 participants playing the video game Thumper for 25 min, we extracted three four-minute EEG segments from each session corresponding to reported experiences of flow, boredom, and frustration, as determined by self-reports and performance metrics. Across conditions, six distinct microstate topographies (A-F) accounted for most of the global variance. Given that reduced self-referential processing is a key feature of flow, we hypothesized that flow would modulate the properties of microstates C and E, which have been associated with brain regions resembling the default mode network (DMN). Compared to boredom and frustration, the flow condition showed significantly decreased global explained variance, mean duration, time coverage, and occurrence frequency of microstate E, as well as reduced mean duration and time coverage of microstate C. These findings suggest that microstates associated with self-referential processing are shorter and less frequent during flow than during boredom and frustration. This supports the notion that the flow experience modulates global brain dynamics, particularly within the DMN. Furthermore, our results align with previous research reporting reduced DMN activity during meditative and psychedelic states, reinforcing the idea of diminished self-awareness in such conditions.

Indexed as

BrainElectroencephalographyAdultBrain MappingFemaleHumansMaleVideo GamesYoung AdultBrain network dynamicsDefault mode network (DMN)EEG microstatesFlow stateSelf-referential processing

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.