Listening to real-world sounds: fMRI data for analyzing connectivity networks

Main Author: Kuo, Po-Chih
Other Authors: Tseng, Yi-Li, Zilles, Karl, Suen, Summit, Eickhoff, Simon, Lee, Juin-Der, Cheng, Philip, Liou, Michelle
Format: Dataset
Terbitan: Mendeley , 2019
Subjects:
Online Access: https:/data.mendeley.com/datasets/9x324z2x3b
Daftar Isi:
  • This dataset contains auditory fMRI scans and T1-weighted anatomical scans acquired under eyes-closed and -open conditions. In each condition, the subject was presented twelve different sound clips, including human voices and animal vocalizations. The dataset can be used to assess reproducible brain activity and connectivity networks under natural sound stimulation. It also allows for investigation of changes in fMRI responses between eyes-closed and eyes-open conditions, between human voices and animal vocalizations, as well as between the different sounds during auditory stimulation.