Changes in negative affect and resting-state EEG power following an EEG-derived generative reality art experience: a pilot pre–post study

Physiological signals are increasingly incorporated into personalized immersive media, but little is known about affective and neurophysiological changes when such signals are used as artistic material. This exploratory pilot study examined an electroencephalography (EEG)-derived generative virtual reality (VR) art experience in which participant-specific EEG signals were symbolically transformed into prompts for immersive visual environments. Thirty healthy university students completed the Positive and Negative Affect Schedule and resting-state EEG recordings before and after a single 5-min experience. EEG analyses examined log-transformed absolute alpha- and beta-band power across frontal, frontocentral, and central regions, with false discovery rate correction. Negative affect decreased from pre- to post-experience (mean change = −3.13, FDR-adjusted p = 0.004), whereas positive affect did not change significantly. Absolute beta-band power decreased across all three regions, and absolute alpha-band power decreased in the frontocentral and central regions (FDR-adjusted p values ≤0.022). Exploratory relative-power analyses showed no significant pre–post differences after correction for multiple comparisons. Frontal alpha asymmetry did not change significantly. Changes in EEG measures were not significantly associated with changes in affect after correction for multiple comparisons. The EEG findings therefore do not establish a neural mechanism for the reduction in negative affect. These findings indicate that the experience was associated with short-term changes in negative affect and resting-state spectral power. Because this pilot study used a single-group design, the findings do not establish causality or therapeutic efficacy. Instead, they provide an initial empirical basis for controlled research on physiological data as personalized material for immersive art and affective experience.

Authors

Institutions

Publication Details

Journal
Frontiers in Psychology
Published
2026-11-04
DOI
https://doi.org/10.3389/fpsyg.2026.1943163
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Changes in negative affect and resting-state EEG power following an EEG-derived generative reality art experience: a pilot pre–post study

Tan Jiang, Chenghong Cen, Hu Jiaqi, Kang Li et al.
Frontiers in Psychology
EEG and Brain-Computer Interfaces
article

Changes in negative affect and resting-state EEG power following an EEG-derived generative reality art experience: a pilot pre–post study

Tan Jiang, Chenghong Cen, Hu Jiaqi, Kang Li, Jing Xu, Xuan Tang, Roderick Morgan
article en

Abstract

Physiological signals are increasingly incorporated into personalized immersive media, but little is known about affective and neurophysiological changes when such signals are used as artistic material. This exploratory pilot study examined an electroencephalography (EEG)-derived generative virtual reality (VR) art experience in which participant-specific EEG signals were symbolically transformed into prompts for immersive visual environments. Thirty healthy university students completed the Positive and Negative Affect Schedule and resting-state EEG recordings before and after a single 5-min experience. EEG analyses examined log-transformed absolute alpha- and beta-band power across frontal, frontocentral, and central regions, with false discovery rate correction. Negative affect decreased from pre- to post-experience (mean change = −3.13, FDR-adjusted p = 0.004), whereas positive affect did not change significantly. Absolute beta-band power decreased across all three regions, and absolute alpha-band power decreased in the frontocentral and central regions (FDR-adjusted p values ≤0.022). Exploratory relative-power analyses showed no significant pre–post differences after correction for multiple comparisons. Frontal alpha asymmetry did not change significantly. Changes in EEG measures were not significantly associated with changes in affect after correction for multiple comparisons. The EEG findings therefore do not establish a neural mechanism for the reduction in negative affect. These findings indicate that the experience was associated with short-term changes in negative affect and resting-state spectral power. Because this pilot study used a single-group design, the findings do not establish causality or therapeutic efficacy. Instead, they provide an initial empirical basis for controlled research on physiological data as personalized material for immersive art and affective experience.

Frontiers in PsychologyVol. 17
Macau University of Science and Technology (MO), South China Normal University (CN), University for the Creative Arts (GB), Zayed University (AE)
Openalex Percentile: Top 16%
EEG and Brain-Computer Interfaces
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon