Listening to real-world sounds: fMRI data for analyzing connectivity networks
Published: 19 September 2019| Version 3 | DOI: 10.17632/9x324z2x3b.3
Contributors:
Po-Chih Kuo, Yi-Li Tseng, Karl Zilles, Summit Suen, Simon Eickhoff, Juin-Der Lee, Philip Cheng, Michelle LiouDescription
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.
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Institutions
Institute of Statistical Sciences Academia Sinica
Categories
Functional Neuroimaging