We present an electrophysiological dataset collected from the amygdalae of nine subjects attending a visual dynamic stimulation of emotional aversive content. The subjects were patients affected by epilepsy who underwent preoperative invasive monitoring in the mesial temporal lobe. Subjects were presented with dynamic visual sequences of fearful faces (aversive condition), interleaved with sequences of neutral landscapes (neutral condition).
The dataset contains the simultaneous recording of intracranial EEG (iEEG) and neuronal spike times and waveforms, and localization information for iEEG electrodes. Subject characteristics and trial information are provided. We technically validated this dataset and provide here the spike sorting quality metrics and the spectra of iEEG signals. This dataset allows the investigation of amygdalar response to dynamic aversive stimuli at multiple spatial scales, from the macroscopic EEG to the neuronal firing in the human brain.
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Contains Subject_Characteristics.pdf which describes subjects and NIX_File_Structure.pdf which describes the structure of the nix files.
Contains MATLAB code for loading the data and generating the publication figures. Main_Load_NIX_Data.m contains code snippets for reading NIX data and task related information. Main_Plot_Figures.m uses the functions Figure_2.m and Figure_3.m to generate figures.
Required dependencies to run the script Main_Load_NIX_Data.m:
Required dependencies to run the script Main_Plot_Figures.m:
Contains nix files for each session of the task. Each file is named with the format:
Data_Subject_<subject number>_Session_<session number>.h5
Updated versions of the data and codes will be provided at: https://gin.g-node.org/USZ_NCH/.
For questions on the dataset or the task, contact Tommaso Fedele at tofedele@hse.ru.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
See LICENSE.txt for the full license.
