TY  - JOUR
AU  - Kuo, Po-Chih
AU  - Tseng, Yi-Li
AU  - Zilles, Karl
AU  - Suen, Summit
AU  - Eickhoff, Simon B.
AU  - Lee, Juin-Der
AU  - Cheng, Philip E.
AU  - Liou, Michelle
TI  - Listening to real-world sounds: fMRI data for analyzing connectivity networks
JO  - Data in Brief
VL  - 26
SN  - 2352-3409
CY  - Amsterdam [u.a.]
PB  - Elsevier
M1  - FZJ-2019-05266
SP  - 104411
PY  - 2019
N1  - We are indebted to the Research Center for Mind, Brain & Learning at the National Chengchi University for the great assistance during fMRI data acquisition. This research was supported by grants MOST-105-2410-H-001-036 and MOST-106-2410-H-001-026 from the Ministry of Science and Technology, Taiwan, and by funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No. 785907 (HBP SGA2).
AB  - There is a growing interest in functional magnetic resonance imaging (fMRI) studies on connectivity networks in the brain when subjects are under exposure to natural sensory stimulation. Because of a complicated coupling between spontaneous and evoked brain activity under real-world stimulation, there is no critical mapping between the experimental inputs and corresponding brain responses. The dataset contains auditory fMRI scans and T1-weighted anatomical scans acquired under eyes-closed and eyes-open conditions. Within each scanning condition, the subject was presented 12 different sound clips, including human voices followed by animal vocalizations. The dataset is meant to be used to assess brain dynamics and connectivity networks under natural sound stimulation; it also allows for empirical investigation of changes in fMRI responses between eyes-closed and eyes-open conditions, between animal vocalizations and human voices, as well as between the 12 different sound clips during auditory stimulation. The dataset is a supplement to the research findings in the paper “Brain dynamics and connectivity networks under natural auditory stimulation” published in NeuroImage.
LB  - PUB:(DE-HGF)16
C6  - pmid:31646154
UR  - <Go to ISI:>//WOS:000495079400133
DO  - DOI:10.1016/j.dib.2019.104411
UR  - https://juser.fz-juelich.de/record/866006
ER  -