ArticlePloS one2019
A closed-loop, music-based brain-computer interface for emotion mediation.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Music in the loop: a systematic review of current neurofeedback methodologies using music.Frontiers in neuroscience · 2025Pooled it
- A randomized controlled trial (RCT) to explore the effect of audio-visual entrainment among psychological disorders.Acta bio-medica : Atenei Parmensis · 2022Trial
- A Nostalgia Brain-Music Interface for enhancing nostalgia, well-being, and memory vividness in younger and older individuals.Scientific reports · 2025Article
- Telecommunication technologies as a medium for music psychotherapy in educational settings.BMC psychology · 2025Article
- Non-Invasive Brain-Computer Interfaces: State of the Art and Trends.IEEE reviews in biomedical engineering · 2025Review
- A multimodal dataset for investigating working memory in presence of music: a pilot study.Frontiers in neuroscience · 2024Article
- Integrating music therapy and video games in cognitive interventions: innovative applications of closed-loop EEG.Frontiers in aging neuroscience · 2024Article
- [Applications and challenges of wearable electroencephalogram signals in depression recognition and personalized music intervention].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023Review
- Regulation of brain cognitive states through auditory, gustatory, and olfactory stimulation with wearable monitoring.Scientific reports · 2023Article
- Affective Neural Responses Sonified through Labeled Correlation Alignment.Sensors (Basel, Switzerland) · 2023Article
- AffectMachine-Classical: a novel system for generating affective classical music.Frontiers in psychology · 2023Article
- MERP: A Music Dataset with Emotion Ratings and Raters' Profile Information.Sensors (Basel, Switzerland) · 2022Article
- Closed-Loop Adaptive Neurostimulation Technologies in Cognitive Rehabilitation of High-Tech Specialists.Sovremennye tekhnologii v meditsine · 2022Article
- Applying Meta-Learning and Iso Principle for Development of EEG-Based Emotion Induction System.Frontiers in digital health · 2022Article
- Human Body Rhythms in the Development of Non-Invasive Methods of Closed-Loop Adaptive Neurostimulation.Journal of personalized medicine · 2021Review
- Emotional Intelligence, Perceived Academic Self-Efficacy, and Perfectionistic Automatic Thoughts as Predictors of Aesthetic-Musical Awareness in Late Adolescence.Frontiers in psychology · 2021Article
- Automatic subject-specific spatiotemporal feature selection for subject-independent affective BCI.PloS one · 2021Article
- Affective Brain-Computer Music Interfaces-Drivers and Implications.Frontiers in human neuroscience · 2021Article
- Music Therapy During COVID-19: Changes to the Practice, Use of Technology, and What to Carry Forward in the Future.Frontiers in psychology · 2021Article
- Towards a Personalized Multi-Domain Digital Neurophenotyping Model for the Detection and Treatment of Mood Trajectories.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Emotions play a critical role in rational and intelligent behavior; a better fundamental knowledge of them is indispensable for understanding higher order brain function. We propose a non-invasive brain-computer interface (BCI) system to feedback a person's affective state such that a closed-loop interaction between the participant's brain responses and the musical stimuli is established. We realized this concept technically in a functional prototype of an algorithm that generates continuous and controllable patterns of synthesized affective music in real-time, which is embedded within a BCI architecture. We evaluated our concept in two separate studies. In the first study, we tested the efficacy of our music algorithm by measuring subjective affective responses from 11 participants. In a second pilot study, the algorithm was embedded in a real-time BCI architecture to investigate affective closed-loop interactions in 5 participants. Preliminary results suggested that participants were able to intentionally modulate the musical feedback by self-inducing emotions (e.g., by recalling memories), suggesting that the system was able not only to capture the listener's current affective state in real-time, but also potentially provide a tool for listeners to mediate their own emotions by interacting with music. The proposed concept offers a tool to study emotions in the loop, promising to cast a complementary light on emotion-related brain research, particularly in terms of clarifying the interactive, spatio-temporal dynamics underlying affective processing in the brain.
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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.