TY - JOUR
T1 - A Nostalgia Brain-Music Interface for enhancing nostalgia, well-being, and memory vividness in younger and older individuals
AU - Sakakibara, Yuna
AU - Kusutomi, Tomohiro
AU - Kondoh, Sotaro
AU - Etani, Takahide
AU - Shimada, Saori
AU - Imamura, Yasuhiko
AU - Naruse, Yasushi
AU - Fujii, Shinya
AU - Ibaraki, Takuya
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/12
Y1 - 2025/12
N2 - Music-evoked nostalgia has the potential to assist in recalling autobiographical memories and enhancing well-being. However, nostalgic music preferences vary from person to person, presenting challenges for applying nostalgia-based music interventions in clinical settings, such as a non-pharmacological approach. To address these individual differences, we developed the Nostalgia Brain-Music Interface (N-BMI), a neurofeedback system that recommends nostalgic songs tailored to each individual. This system is based on prediction models of nostalgic feelings, developed by integrating subjective nostalgia ratings, acoustic features and in-ear electroencephalographic (EEG) data during song listening. To test the effects of N-BMI on nostalgic feelings, state-level well-being, and memory recall, seventeen older and sixteen younger participants took part in the study. The N-BMI was personalized for each individual, and songs were recommended under two conditions: the “nostalgic condition“, where songs were selected to enhance nostalgic feelings, and the “non-nostalgic condition“, to reduce nostalgic feelings. We found nostalgic feelings, state-level well-being, and subjective memory vividness were significantly higher after listening to the recommended songs in the nostalgic condition compared to the non-nostalgic condition in both groups. This indicates that the N-BMI enhanced nostalgic feelings, state-level well-being, and memory recall across both groups. The N-BMI paves the way for innovative therapeutic interventions, including non-pharmacological approaches.
AB - Music-evoked nostalgia has the potential to assist in recalling autobiographical memories and enhancing well-being. However, nostalgic music preferences vary from person to person, presenting challenges for applying nostalgia-based music interventions in clinical settings, such as a non-pharmacological approach. To address these individual differences, we developed the Nostalgia Brain-Music Interface (N-BMI), a neurofeedback system that recommends nostalgic songs tailored to each individual. This system is based on prediction models of nostalgic feelings, developed by integrating subjective nostalgia ratings, acoustic features and in-ear electroencephalographic (EEG) data during song listening. To test the effects of N-BMI on nostalgic feelings, state-level well-being, and memory recall, seventeen older and sixteen younger participants took part in the study. The N-BMI was personalized for each individual, and songs were recommended under two conditions: the “nostalgic condition“, where songs were selected to enhance nostalgic feelings, and the “non-nostalgic condition“, to reduce nostalgic feelings. We found nostalgic feelings, state-level well-being, and subjective memory vividness were significantly higher after listening to the recommended songs in the nostalgic condition compared to the non-nostalgic condition in both groups. This indicates that the N-BMI enhanced nostalgic feelings, state-level well-being, and memory recall across both groups. The N-BMI paves the way for innovative therapeutic interventions, including non-pharmacological approaches.
KW - Brain-computer interface
KW - Music
KW - Nostalgia
KW - Well-being
UR - https://www.scopus.com/pages/publications/105015514214
UR - https://www.scopus.com/pages/publications/105015514214#tab=citedBy
U2 - 10.1038/s41598-025-14705-6
DO - 10.1038/s41598-025-14705-6
M3 - Article
C2 - 40897729
AN - SCOPUS:105015514214
SN - 2045-2322
VL - 15
JO - Scientific reports
JF - Scientific reports
IS - 1
M1 - 32337
ER -