Rodrigo Quian Quiroga – EEG, ERP and single cell recordings
database
Dataset # 1: Human single-cell recording
This example is a 30’ multiunit recording in the medial temporal lobe of an epileptic patient from Itzhak Fried’s lab at UCLA. Try wave_clus for spike detection and sorting of this data.
Dataset # 2: Simulated extracellular recordings
These simulated datasets are described in:
Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering.
R. Quian Quiroga, Z. Nadasdy and Y. Ben-Shaul
Neural Computation 16, 1661-1687; 2004.
where they were used for testing the spike sorting algorithm. You should be able to reproduce the results of the paper and, eventually, compare wave_clus with other spike sorting algorithms.
Dataset # 3: EEG signals from rats
Each example contains 5 sec of a two-channel EEG recording at the left and right frontal cortex of male adult WAG/Rij rats. Signals were referenced to an electrode placed at the cerebelum, they were filtered between 1-100 Hz and digitized at 200 Hz. Example A correspond to a normal EEG and examples B, C, D and E contain spike-wave discharges.
We thank Giles van Luijtelaar and Joyce Welting for allowing their distribution.
Download files:
Details on the recordings as well as on the physiological results can be
obtained from:
The
reticular thalamic nucleus is involved in left-right EEG synchronization.
van Luijtelaar ELJM, Welting J and
Quian Quiroga R.
in: Sleep-Wake research in the
The first three datasets were analysed in the paper:
Performance
of different synchronization measures in real data: a case study on
electroencephalographic signals.
Quian Quiroga R, Kraskov A, Kreuz T and
Grassberger P.
Phys. Rev. E, 2002; 65: 041903.
and the last two were also analyzed in:
Event
synchronization: a simple a fast method to measure synchronicity and time delay
patterns.
Quian Quiroga R. T. Kreuz and Grassberger P
Phys. Rev. E, in press.
Dataset # 4: Pattern visual evoked potentials.
Each file corresponds to the recording on a different subject in the left occipital electrode (O1), with linked earlobes reference. Each file contains several artifact-free trials, each of them containing 512 data points (256 pre- and 256 post-stimulation) stored with a sampling frequency of 250 Hz. Trials are stored consecutively in a 1 column file. Data was pre-filtered in the range 0.1-70Hz. All trials correspond to target stimulation with an oddball paradigm (see the papers for details).
We thanks Martin Schuermann for allowing their distribution.
Download files:
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30 trials |
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16 trials |
These files were used for showing a denoising implementation that helps to
visualize single-trial evoked potentials in:
Obtaining
single trial EPs with wavelet denoising.
Quian Quiroga R.
Physica D, 145: 278-292 (2000) .
Moreover, we show a time-frequency analysis of evoked potentials using Wavelets in:
Functions
and sources of evoked EEG alpha oscillations studied with the Wavelet Transform
R. Quian Quiroga and M Schürmann
Clin. Neurophysiol., 1999; 110: 643-654.
and in:
Wavelet Transform
in the analysis of the frequency composition of evoked potentials.
R. Quian Quiroga, O. Sakowicz, E. Basar and M.
Schürmann.
Brain Research Protocols, 8: 16-24; 2001. Erratum:
in fig.1, upsampling should precede convolution with G' and H'.
and we show the application of an entropy defined from the distribution of wavelet coefficients in:
Wavelet-entropy:
a measure of order in evoked potentials.
R. Quian
Quiroga, O Rosso and E Basar
Electr.
Clin. Neurophysiol. (Suppl.), 1999; 49:
298-302.
and in:
Wavelet
entropy in event-related potentials: a new method shows frequency tuning of
EEG-oscillations.
Quian Quiroga
R, Rosso O, Schürmann M and Basar E.
Biological Cybernetics, 2001; 84:
291-299.
Dataset # 5: Tonic-clonic (Grand Mal) seizures.
These files show tonic-clonic seizures of two subjects recorded with a scalp rigth central (C4) electrode (linked earlobes reference). It contains a total of 3 minutes with about 1 min pre-seizure, the seizure and some post-seizure activity. Sampling rate is 102.4 Hz (see the papers for more details).
Download files:
A time-frequency analysis of these type of seizures was done in:
Searching for
Hidden Information with Gabor Transform in Generalized Tonic-Clonic Seizures
Quian Quiroga R., Blanco S., Rosso O., Garcia H.
and Rabinowicz A.
Electroenceph. and Clin. Neurophysiol., 1997;
103: 434-439.
and in:
Frequency
evolution during tonic-clonic seizures.
Quian Quiroga R., Garcia H and Rabinowicz A
Electromyography and Clinical Neurophysiology, in
press
Dataset # 6: Ongoing EEG activity.
Five data sets containing quasi-stationary, artifact-free EEG signals both
in normal subjects and epileptic patients were put in the web by Ralph
Andrzejak from the Epilepsy center in
http://www.meb.uni-bonn.de/epileptologie/science/physik/eegdata.html
A study of non-linear determinism of this data has been published in Phys. Rev. E (follow the link from the previous address).