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The case from the tutorial is also published in this article: Dümpelmann M, Ball T, Schulze-Bonhage A<<BR>>[[http://www.ncbi.nlm.nih.gov/pubmed/21618659|LORETA allows reliable distributed source reconstruction based on subdural strip and grid recordings]], Hum Brain Mapp. 2012 | The case from this tutorial is also published in this article: Dümpelmann M, Ball T, Schulze-Bonhage A<<BR>>[[http://www.ncbi.nlm.nih.gov/pubmed/21618659|LORETA allows reliable distributed source reconstruction based on subdural strip and grid recordings]], Hum Brain Mapp. 2012 |
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This tutorial dataset (EEG and MRI data) remains proprietary of the Epilepsy Centre, University Hospital Freiburg, Germany. Its use and transfer outside the brainstorm tutorial, e.g. for research purposes, is prohibited without written consent from the Epilepsy Centre in Freiburg. For questions please contact A. Schulze-Bonhage, MD, PhD: andreas.schulze-bonhage@uniklinik-freiburg.de | This tutorial dataset (EEG and MRI data) remains proprietary of the Epilepsy Centre, University Hospital Freiburg, Germany. Its use and transfer outside the Brainstorm tutorial, e.g. for research purposes, is prohibited without written consent from the Epilepsy Centre in Freiburg. For questions please contact A. Schulze-Bonhage, MD, PhD: andreas.schulze-bonhage@uniklinik-freiburg.de |
EEG and epilepsy
This tutorial introduces some concepts that are specific to the management of EEG recordings in the Brainstorm environment. It also describes a standard pipeline for analyzing epilepsy recordings. It is based on clinical case from the Epilepsy Centre, at the University Hospital Freiburg, Germany. The EEG data was recorded at 1024Hz, using a Neurofile NT digital video-EEG system with 128 channels. The anonymized dataset can be downloaded directly from the Brainstorm download page.
The case from this tutorial is also published in this article: Dümpelmann M, Ball T, Schulze-Bonhage A
LORETA allows reliable distributed source reconstruction based on subdural strip and grid recordings, Hum Brain Mapp. 2012
License
This tutorial dataset (EEG and MRI data) remains proprietary of the Epilepsy Centre, University Hospital Freiburg, Germany. Its use and transfer outside the Brainstorm tutorial, e.g. for research purposes, is prohibited without written consent from the Epilepsy Centre in Freiburg. For questions please contact A. Schulze-Bonhage, MD, PhD: andreas.schulze-bonhage@uniklinik-freiburg.de
Presentation of the clinical case
The EEG data was recorded at 1024Hz, using a Neurofile NT digital video-EEG system with 128 channels and a 16-bit A/D converter. The signal was filtered in the recording system with a high-pass filter with a time constant of 1 second and a low-pass filter with a cutoff frequency of 344 Hz. The spikes were visually identified and averaged with the ASA package. The spike average showed prominent peaks in the grid contacts G_A2-4, G_B2-5, G_C1-3.
Type of epilepsy, supposed location, etc.
Download and installation
- Requirements: You have already followed all the basic tutorials and you have a working copy of Brainstorm installed on your computer.
Go to the Download page of this website, and dowload the file: sample_epilepsy.zip
- Unzip it in a folder that is not in any of the Brainstorm folders (program folder or database folder). This is really important that you always keep your original data files in a separate folder: the program folder can be deleted when updating the software, and the contents of the database folder is supposed to be manipulated only by the program itself.
- Start Brainstorm (Matlab scripts or stand-alone version)
Select the menu File > Create new protocol. Name it "TutorialEpilepsy" and select the options:
"No, use individual anatomy",
"Yes, use one channel file per subject".
Import the anatomy
For now the MRI is processed with BrainVISA, but we would like to have it fully processed with FreeSurfer.
Access the raw file
...
Mark and review spikes
How was it done initially?
How would we do it in Brainstorm?
Import 177 spikes: [-1, +1] seconds arounf the spike events