five

EEG Dataset on the Effects of Interoception in Music Listening and Recall

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://zenodo.org/record/15086710
下载链接
链接失效反馈
官方服务:
资源简介:
EEG Dataset on the Effects of Interoception in Music Listening and Recall This repository contains EEG data (in .fif format) and corresponding musical stimuli (in .wav format) used in an experiment studying brain responses during music recall. The dataset is intended to enable others to replicate or extend the analyses presented in our manuscript. Contents EEG Data Format: MNE-Python .fif  Participants: 22 in total (mk1p–mk17p & mk18–mk22) Each participant’s file includes multiple epochs (20 s each) that cover baseline, cue, music presentation, and a short post-music period. Metadata (stimulus name, presentation order, and familiarity rating) is embedded in each .fif file. Musical Stimuli Format: .wav (44.1 kHz sampling rate) Each file corresponds to a single music excerpt of 12.8 s, which aligns with the music portion in the EEG data. Additional JSON Metadata Format: .json  Contents: Per-participant keys (e.g., "mk1p", "mk2p", etc.) Gender, Age, IAcc Score (interoceptive accuracy), and a metadata field containing epoch-level information (familiarity, trial number, etc.) The structure is designed to complement the .fif files, providing additional context about each participant (e.g., demographic info, interoceptive accuracy scores) not contained in the EEG files. Experiment and Data Description EEG Recording Original Sampling Rate: 2048 Hz Preprocessing: Notch filter at 50 Hz FIR bandpass filter (0.5–40 Hz) Downsample to 256 Hz Re-reference to the average of M1 and M2 ICA removal of ocular components (Pearson correlation > 0.9 with EOG signals) Epoch extraction (20 s total per epoch): 4 s baseline 1 s standby 12.8 s music 2.2 s post-music standby Musical Stimuli Each .wav file is 12.8 s long and sampled at 44.1 kHz. The music onset in the EEG data begins at approximately 5 s into each epoch. Citation Citation: If you use or reference this dataset, kindly cite the corresponding paper: [Paper Title, Authors, Journal/Conference, Year] Contact For questions, clarifications, or feedback regarding this dataset, please contact Toshihisa Tanaka (tanakat@cc.tuat.ac.jp).
创建时间:
2025-03-26
二维码
社区交流群
二维码
科研交流群
商业服务