A novel music-based real-time fMRI neurofeedback interface modulates interhemispheric connectivity and enhances mood

Introduction Music is a universal language that transcends cultures and is deeply rooted in human evolutionary history. Its creation and appreciation recruit the limbic and reward systems, leading to the evocation of emotions ranging from happiness and sadness to tenderness and grief. Here, we investigate the potential of music as an interventional tool in a novel neurofeedback connectivity-based experiment. Methods This study proposes a musical interface for real-time functional magnetic resonance imaging neurofeedback that is adaptable to diverse experimental paradigms, namely the ones aiming at improving mood and other affective dimensions. Using a previously developed motor imagery connectivity-based approach, we evaluate its feasibility and efficacy by comparing the modulation of bilateral premotor cortex activity during functional runs with real versus sham (random) feedback in 22 healthy adults. We also assess its performance against a visual feedback interface. The experiment involves a 50-minute MRI session, including anatomical scans, a premotor cortex functional localizer run, and four neurofeedback runs (two with active feedback and two with sham feedback). Pre- and post-session questionnaires assess the neurobehavioral impact on mood, musical background (as a potential predictor of neurofeedback success), and subjective feedback experiences. During neurofeedback, participants perform motor imagery of finger-tapping, with feedback delivered as a dynamic, pre-validated chord progression that evolves or regresses based on the functional connectivity between left and right premotor cortex. Results We found that our implementation of music-based feedback was successful, with participants managing to modulate their own connectivity using the proposed interface. The modulation performance was similar for active and sham runs, possibly due to the power of music to boost neuromodulation, but the network recruitment was stronger for active neurofeedback, including in the insula, putamen, and target regions of interest. Behaviorally, we found a decrease in tension and an improvement in the overall mood of the participants after the session. Discussion When comparing our results to previous neurofeedback data with a visual interface, we found stronger brain activations, in particular in neurofeedback-relevant regions such as the insula and the putamen. This work shows that it is possible to directly modulate interhemispheric connectivity using a real-time functional magnetic resonance imaging musical interface with potential effects on mood and recruitment of saliency and learning networks.

Authors

Institutions

Publication Details

Journal
Frontiers in Psychiatry
Published
2026-04-30
DOI
https://doi.org/10.3389/fpsyt.2026.1757213
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A novel music-based real-time fMRI neurofeedback interface modulates interhemispheric connectivity and enhances mood

João Pereira, Alexandre Sayal
Frontiers in Psychiatry
Functional Brain Connectivity Studies
article

A novel music-based real-time fMRI neurofeedback interface modulates interhemispheric connectivity and enhances mood

João Pereira, Alexandre Sayal
article en

Abstract

Introduction Music is a universal language that transcends cultures and is deeply rooted in human evolutionary history. Its creation and appreciation recruit the limbic and reward systems, leading to the evocation of emotions ranging from happiness and sadness to tenderness and grief. Here, we investigate the potential of music as an interventional tool in a novel neurofeedback connectivity-based experiment. Methods This study proposes a musical interface for real-time functional magnetic resonance imaging neurofeedback that is adaptable to diverse experimental paradigms, namely the ones aiming at improving mood and other affective dimensions. Using a previously developed motor imagery connectivity-based approach, we evaluate its feasibility and efficacy by comparing the modulation of bilateral premotor cortex activity during functional runs with real versus sham (random) feedback in 22 healthy adults. We also assess its performance against a visual feedback interface. The experiment involves a 50-minute MRI session, including anatomical scans, a premotor cortex functional localizer run, and four neurofeedback runs (two with active feedback and two with sham feedback). Pre- and post-session questionnaires assess the neurobehavioral impact on mood, musical background (as a potential predictor of neurofeedback success), and subjective feedback experiences. During neurofeedback, participants perform motor imagery of finger-tapping, with feedback delivered as a dynamic, pre-validated chord progression that evolves or regresses based on the functional connectivity between left and right premotor cortex. Results We found that our implementation of music-based feedback was successful, with participants managing to modulate their own connectivity using the proposed interface. The modulation performance was similar for active and sham runs, possibly due to the power of music to boost neuromodulation, but the network recruitment was stronger for active neurofeedback, including in the insula, putamen, and target regions of interest. Behaviorally, we found a decrease in tension and an improvement in the overall mood of the participants after the session. Discussion When comparing our results to previous neurofeedback data with a visual interface, we found stronger brain activations, in particular in neurofeedback-relevant regions such as the insula and the putamen. This work shows that it is possible to directly modulate interhemispheric connectivity using a real-time functional magnetic resonance imaging musical interface with potential effects on mood and recruitment of saliency and learning networks.

Frontiers in PsychiatryVol. 17
Maastricht University (NL), Intelligent Systems Research (United States) (US), Czech Academy of Sciences, Institute of Physiology (CZ), Imaging Center (US), University of Coimbra (PT)
Openalex Percentile: Top 9%
Functional Brain Connectivity Studies
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.