10.4225/03/5719CEBC59438
Nigel Rogasch
Nigel
Rogasch
TESA example data
Monash University
2016
Transcranial magnetic stimulation
electroencephalography
EEGLAB
TMS-EEG
ImagingLocus
Neuroscience
Biological Techniques
Neurocognitive Patterns and Neural Networks
Neuroscience and Physiological Psychology
2016-09-12 06:35:03
Dataset
https://bridges.monash.edu/articles/dataset/TESA_example_data_and_scripts/3188800
<div><p>The TMS-EEG signal analyser (TESA) is an open source extension for
EEGLAB that includes functions necessary for cleaning and analysing TMS-EEG
data. Both EEGLAB and TESA run in Matlab (r2015b or later). The attached files
are example data files which can be used with TESA.</p>
<p>To download TESA, visit here:</p>
<p><a href="http://nigelrogasch.github.io/TESA/">http://nigelrogasch.github.io/TESA/</a></p>
<p>To read the TESA user manual, visit here:</p>
<p><a href="https://www.gitbook.com/book/nigelrogasch/tesa-user-manual/details">https://www.gitbook.com/book/nigelrogasch/tesa-user-manual/details</a></p><p><br></p>
<p><b>File info:</b></p>
<p><i>example_data.set</i></p>
<p>WARNING: file size = 1.1 GB. A raw data set for trialling TESA. Load the data file in to EEGLAB using the existing EEGLAB data set functions. Note that both the .fdt and .set files are required.</p>
<p><i>example_data_epoch_demean.set</i></p>
<p>File size = 340 MB. A partially processed data file of smaller size
corresponding to step 8 of the analysis pipeline in the TESA user manual.
Channel locations were loaded, unused electrodes removed, bad electrodes
removed, epoched (-1000 to 1000 ms) and demeaned
(baseline correct -1000 to 1000). Load the data file in to EEGLAB using the existing EEGLAB data set functions. Note that both the .fdt and .set files are required.</p>
<p><i>example_data_epoch_demean_cut_int_ds.set</i></p>
<p>File size = 69 MB. A further processed data file even smaller in size
corresponding to step 11 of the analysis pipeline in the TESA user manual. In
addition to the above steps, data around the TMS pulse artifact was removed (-2
to 10 ms), replaced using linear interpolation, and downsampled to 1,000 Hz. Load the data file in to EEGLAB using the existing EEGLAB data set functions. Note that both the .fdt and .set files are required.</p>
<p><b><br></b></p><p><b>Example data info:</b></p>
<p>Monophasic TMS pulses (current flow = posterior-anterior in brain) were
given through a figure-of-eight coil (external diameter = 90 mm) connected to a
Magstim 200<sup>2</sup> unit (Magstim company, UK). 150 TMS pulses were
delivered over the left superior parietal cortex (MNI coordinates: -20, -65,
65) at a rate of 0.2 Hz ± 25% jitter. TMS coil position was determined using
frameless stereotaxic neuronavigation (Localite TMS Navigator, Localite,
Germany) and intensity was set at resting motor threshold of the first dorsal
interosseous muscle (68% maximum stimulator output). EEG was recorded from 62
TMS-specialised, c-ring slit electrodes (EASYCAP, Germany) using a
TMS-compatible EEG amplifier (BrainAmp DC, BrainProducts GmbH, Germany). Data
from all channels were referenced to the FCz electrode online with the AFz
electrode serving as the common ground. EEG signals were digitised at 5 kHz
(filtering: DC-1000 Hz) and EEG electrode impedance was kept below 5 kΩ. </p></div><div><br></div>