Published July 22, 2021 | Version V01

Data related to: Hippocampal ripples and their coordinated dialogue with the default mode network during recent and remote recollection, Norman et al. (2021)

  • 1. Weizmann Institute of Science
  • 2. Stanford University

Description

This dataset contains intra-cranial EEG recordings and analysis code related to the paper: "Hippocampal ripples and their coordinated dialogue with the default mode network during recent and remote recollection" by Norman et al. (https://doi.org/10.1016/j.neuron.2021.06.020)
The study investigates the role of hippocampal ripples in the human brain during retrieval of recent and remote autobiographical memories and semantic facts. The intracranial recordings underwent standard preprocessing as described in the paper and were stored in EEGLAB datasets. The analysis code that accompanies the dataset implements the main analyses described in the paper.

The dataset includes the following zip files:

  • iEEG data and main analysis code:
    • “Norman_et_al_2021_iEEG_data_and_code_1.zip" 
    • “Norman_et_al_2021_iEEG_data_and_code_2.zip" 
  • Patients' anatomical data:
    • “Norman_et_al_2021_Freesurfer.zip”
  • Additional toolboxes (developed by others):
    • “MATLAB_toolboxes.zip”

The code is written primarily in Matlab (version R2018b) and runs on a desktop computer with a 3.4Ghz Intel Core i7-6700 CPU with 64GB RAM. Matlab's Signal Processing Toolbox is required, as well as EEGLAB, Unfold toolbox, and several other open-source toolboxes.

Notes

see "data and code readme.pdf" for further information

Files

Norman_et_al_2021_Data and code readme.pdf

Files (29.0 GB)

Name Size
md5:3669e7e1448a0adf8b185c50e451d8ac
401.2 kB Preview Download
md5:0597a5878cef07173ce5a472cc069923
11.5 GB Preview Download
md5:b78622df6b9055ec9149ff645a2b7ec5
11.4 GB Preview Download
md5:4535c3830c23048143fa96e38ef54423
6.0 GB Preview Download
md5:6aa066b359cfafe4293d9b05091d984f
13.2 MB Preview Download

Additional details

Related works

Is supplement to
Journal article: 10.1016/j.neuron.2021.06.020 (DOI)