Aesthetics, illusion of success and age in closed-loop neurofeedback design

• Closed-loop designs with sham neurofeedback training require disentangling confounds such as aesthetics, illusion of success, and age interactions.¹
• The methodology clarifies interpretation of neurofeedback and BCI trials.^{1 1}

Weekly enrichment (2026-07-20)

• The source study (Frontiers in Human Neuroscience, 2025; DOI 10.3389/fnhum.2025.1678940) tested how visual-feedback aesthetics and an illusion of success affect a closed-loop sham neurofeedback (NFB) paradigm.^{2 3}
• It used a 2 × 2 within-subjects design—aesthetics (pleasing vs. non-pleasing) crossed with illusion of success (success vs. no success)—in 24 healthy adults aged 20–37 (mean 23.83, SD 3.56; 6 women) at the University of Fribourg.^{2 3}
• Dependent measures were perseverance behavior, subjective workload, motivation, and EEG activity, with feedback delivered as growing spheres plus success/failure cues.²
• A three-way interaction between pleasing design, illusion of success, and participant age modulated perseverance and physical demand, partially confirming that aesthetics helps most under difficult (no-success) conditions.^{2 3}
• EEG alpha-1 band amplitudes were modulated by a pleasing-design × age interaction, and a main effect of illusion of success emerged—showing design confounds can leak into the very oscillatory signals NFB aims to train.²
• Only the illusion-of-success factor meaningfully affected workload and motivation, underscoring that perceived success is a strong non-specific driver in sham-controlled trials.²
• The paper situates this against high non-response rates: up to roughly 50% of NFB participants and 15–30% of BCI users cannot reliably self-regulate, so uncontrolled design factors can masquerade as training effects.²
• Independent work reinforces the concern: a 2026 analysis argues sham NFB is a partially active control rather than an inert placebo, and a Birkbeck signal-detection study showed mid-frontal theta slope discriminates real from sham groups (AUC = 0.73).^{4 5}

Footnotes

1. https://news.google.com/rss/articles/CBMinAFBVV95cUxPbUgyZHpwNEp1UDF1VFRzMnRvaXlWSWsyWlY5bk1jTGFmdjkyUmJLcGtPTXIxVkZTS1ZkRF93S3lHaGUyamo1MW5CRmh5cnM2TTdJWWJwa0UyeDl1UllheXNseXJKZUJRR3IybHhoLWRUT3FFYXJTOUxYbkJnMXVBaWgwakx1d2FKdGs2SUNNUDJrVDhacnpfbmw0WmI?oc=5 ↩ ↩² ↩³

2. https://www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2025.1678940/full ↩ ↩² ↩³ ↩⁴ ↩⁵ ↩⁶ ↩⁷

3. https://pmc.ncbi.nlm.nih.gov/articles/PMC12661855/ ↩ ↩² ↩³

4. https://link.springer.com/article/10.1186/s13064-026-00252-x ↩

5. https://eprints.bbk.ac.uk/id/eprint/24548 ↩