Abstract
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.
Highlights
There is a growing interest in functional magnetic resonance imaging 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 subject was presented 12 different sound clips, including human voices followed by animal vocalizations
Summary
Related research article Author's name: Po-Chih Kuo, Yi-Li Tseng, Karl Zilles, Summit Suen, Simon B. Title: Brain Dynamics and Connectivity Networks Under Natural Auditory Stimulation. Value of the data The dataset can be used for assessing reproducible fMRI time courses under real-life situations. The dataset can be used for investigating connectivity networks under natural sound stimulation. The dataset can be used for decoding mental states during hearing animal vocalizations and human voices. The fMRI scans were acquired when subjects were under exposure to natural auditory stimulation. The same auditory stimulation was repeated twice under eyes-closed followed by eyes-open conditions. The released dataset contains the following items: (1) T1-weighted MPRAGE anatomical images with skull stripped, (2) 4D MRI images in analyzed format (i.e., fMRI data), (3) the onset time and duration of each sound clip during the experiment, and (4) sound stimuli used in the experiment
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