ArticlePloS one2025
The role of music in ADHD: A multi-dimensional computational and theoretical analysis.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed.
- Mental health in digital microsystems across three Asian Reddit communities.Scientific reports · 2026Article
- The dynamic relationships among AI-assisted formative assessment in music teaching, feedback literacy, and music learning engagement.Frontiers in psychology · 2026Article
- Understanding emotional responses to music using machine learning: evidence from a public dataset.Frontiers in psychology · 2026Article
- A narrative review on the psychological mechanisms and efficacy of music interventions for improving symptoms of patients with ADHD.Frontiers in psychology · 2026Review
Corrections and comments
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Authors and funding
2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Attention-Deficit Hyperactivity Disorder (ADHD), a neurodevelopmental disorder affecting children and adults worldwide, has seen a significant rise in diagnoses and medication prescriptions in recent decades. This trend has emphasized the need for non-pharmacological interventions such as music to aid ADHD management. This study explores the musical experiences of individuals with ADHD through a comprehensive analysis of user-generated content from the Reddit r/ADHD community between 2014-2024. Advanced computational techniques, including large language models such as Gemini 1.5 Pro and LLAMA 3.1 were employed for data extraction and categorization. Additionally, APIs from digital streaming platforms were utilized to analyze musical characteristics and lyrical content of 9,215 tracks across three distinct categories: focus music, stuck songs, and general purpose. Insights from selective attention, emotion arousal and mood congruence theories were used to interpret the findings. Statistical analysis revealed significant variations in musical characteristics, with instrumentalness showing the largest effect size across contexts, suggesting unique musical preferences among individuals with ADHD. Correlation analyses uncovered complex interrelationships between musical attributes, particularly in focus music, where energy, speechiness, and instrumental characteristics displayed distinctive patterns. The sentiment and popularity analysis of lyrics further illuminated the emotional landscape of music in ADHD experiences, revealing a strategic approach to musical selection as a potential cognitive and emotional self-regulation mechanism.
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Registered trials
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 Socratic graph.