Evidence map›Paper›PMID 41658437›Full record

ArticleContemporary clinical trials communications2026

Study protocol for PIANo-1: Personalized Investigation of music's effect on Attention in a series of N-of-1 trials.

Thomas Gärtner, Fabian Stolp, Bert Arnrich, Stefan Konigorski

Abstract read
In one paragraph

Article in Contemporary clinical trials communications, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Thomas GärtnerDigital Health Cluster, Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany.
Fabian StolpDigital Health Cluster, Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany.
Bert ArnrichDigital Health Cluster, Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany.
Stefan KonigorskiDigital Health Cluster, Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Focus and concentration are influenced by various environmental factors, such as listening to music. Recent research highlights the individualized nature of music's effects on concentration, as responses vary significantly between individuals based on music genres and personal preference. Traditional population-based studies often obscure these between-person differences, while N-of-1 trials, which are individual crossover trials, can provide a personalized approach by allowing each participant to serve as their own control. This study design is particularly suited for examining how self-selected music genres might enhance or alter concentration in each individual. By leveraging an N-of-1 trial design, this study aims to contribute to the growing body of research investigating personalized cognitive interventions, providing insights into individual effects and variations in response to music. Methods: The study will include approximately 23 participants, who will be allocated to a block-randomized sequence with two cycles, each consisting of 3-min periods of listening to music (intervention, A) and 3 min of no music (control, B) in random order. Study participants will select one of fourteen predefined music genres, with or without lyrics, as their intervention. A playlist with preselected songs from this genre will be played and compared to not listening to music. To minimize the effects of carryover and concentration loss during the study, a 1-min break is planned between each period, resulting in a total duration of around 15 min. Concentration will be assessed by the number of correct classifications of a digital version of the Stroop test within each period. After each period, a short questionnaire will be administered to collect self-assessed concentration and stress scores. Additionally, physiological biomarkers will be assessed using wearables such as Electroencephalography, Heart Rate Variability, Electrodermal Activity, and eye- and pupil-movement data. In the statistical analysis, Bayesian generalized linear mixed models will be used to estimate the intervention effects of music on correct answers of the Stroop task on the individual level and population level. Discussion: This study will provide insights into the personalized effects of music on concentration, providing a blueprint for individuals on how they may test and improve their concentration.

Indexed as

AttentionN-of-1 trialSensor dataStudy protocol

Identifiers

PMID41658437
PMCPMC12873732

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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.