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@@ -1,7 +1,7 @@
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-# Dataset of intraoperative ECoG recorded from epilepsy patients pre- and post-resection and fast ripple (FR) markings
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+# Dataset of intraoperative pre- and post-resection ECoG recorded from epilepsy patients and fast ripple (FR) markings
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## Summary
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-We present an electrophysiological dataset recorded from twenty-two subjects during resective epilepsy surgery. We used standard electrodes with 10 mm inter-contact spacing (standard ECoG) in 14 surgeries and high-density grid electrodes with 5 mm spacing (hd-ECoG) in 8 surgeries. We recorded ECoG pre- and post-resection. We detected fast ripples (FR) using a previously validated automatic detector. For each recording, we provided the recorded data and FR markings. We also provide the approximate locations of recordings and resected area. The data was used in our publication doi.org/10.1016/j.clinph.2019.07.008.
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+We present an electrophysiological dataset recorded from twenty-two subjects during resective epilepsy surgery. We used standard electrodes with 10 mm inter-contact spacing (standard ECoG) in 14 surgeries and high-density grid electrodes with 5 mm spacing (hd-ECoG) in 8 surgeries. We recorded ECoG pre- and post-resection. We detected fast ripples (FR) using a previously validated automatic detector and did visual validation. For each recording, we provide the recorded data and FR markings. We also provide the approximate locations of recordings and resected area. The data was used in our publication "High-density ECoG improves the detection of high frequency oscillations that predict seizure outcome" (doi.org/10.1016/j.clinph.2019.07.008).
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## Downloading the data
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@@ -64,15 +64,15 @@ See the *git annex* documentation for details.
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### Using the web browser
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-xxDownload the latest release as a zip file by clicking on *Releases* on the main page at https://gin.g-node.org/USZ_NCH/Intraoperative_ECoG_HFO . This zip file will contain all small (text) files only, while large data files will not be downloaded automatically and an empty placeholder will be put in their place. To get the full content of such a large file , download these files individually as needed from the web interface by clicking on them in the repository browser.
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+Download the latest release as a zip file by clicking on *Releases* on the main page at https://gin.g-node.org/USZ_NCH/Intraoperative_ECoG_HFO . This zip file will contain all small (text) files only, while large data files will not be downloaded automatically and an empty placeholder will be put in their place. To get the full content of such a large file , download these files individually as needed from the web interface by clicking on them in the repository browser.
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## Repository structure
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### Directory datasets
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-xx
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### Directory datasets_matlab
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-xx
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### Directory code
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Contains example code to help in loading and analyzing the data. The file `xxexamply.py` is a Python script that acts as a tutorial for loading and plotting data. The scripts `xx reproduce the plots of the data found in the publication. The files `neo_utils.py` and `odml_utils.py` contain useful utility routines to work with data and metadata. Finally, the file `example.m` contains a rudimentary MATLAB script demonstrating how to use the data provided in the .hd5 files.
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Ece Boran