TESA example data

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.

To download TESA, visit here:

http://nigelrogasch.github.io/TESA/

To read the TESA user manual, visit here:

https://www.gitbook.com/book/nigelrogasch/tesa-user-manual/details

File info:

example_data.set

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.

example_data_epoch_demean.set

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.

example_data_epoch_demean_cut_int_ds.set

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.

Example data info:

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 2002 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.

TMS-EEG信号分析器（TESA）是EEGLAB的一个开源扩展模块，其中包含了用于清洗和分析TMS-EEG数据所需的所有功能。EEGLAB和TESA均在Matlab（r2015b或更高版本）环境下运行。所附文件为示例数据文件，可用于TESA。

下载TESA，请访问以下链接：

http://nigelrogasch.github.io/TESA/

阅读TESA用户手册，请访问以下链接：

https://www.gitbook.com/book/nigelrogasch/tesa-user-manual/details

文件信息：

example_data.set

警告：文件大小为1.1 GB。这是用于测试TESA的原始数据集。请使用现有的EEGLAB数据集功能将数据文件加载到EEGLAB中。请注意，需要同时加载.fdt和.set文件。

example_data_epoch_demean.set

文件大小为340 MB。这是分析流程第8步的较小尺寸的部分处理数据文件。已加载通道位置，移除了未使用的电极，移除了不良电极，对数据进行分时（-1000至1000毫秒）并去均值（基准校正-1000至1000）。请使用现有的EEGLAB数据集功能将数据文件加载到EEGLAB中。请注意，需要同时加载.fdt和.set文件。

example_data_epoch_demean_cut_int_ds.set

文件大小为69 MB。这是分析流程第11步的进一步处理且尺寸更小的数据文件。在上述步骤的基础上，移除了围绕TMS脉冲伪迹的数据（-2至10毫秒），使用线性插值替换，并下采样至1,000赫兹。请使用现有的EEGLAB数据集功能将数据文件加载到EEGLAB中。请注意，需要同时加载.fdt和.set文件。

示例数据信息：

单相TMS脉冲（电流流向为大脑的背侧-腹侧）通过一个八边形线圈（外部直径=90毫米）连接到Magstim 2002设备（Magstim公司，英国）输出。在左顶叶皮层（MNI坐标：-20, -65, 65）上以0.2赫兹±25%的抖动率输送150个TMS脉冲。使用无框架立体定向神经导航（Localite TMS Navigator，Localite，德国）确定TMS线圈位置，并将强度设定为第一背侧骨间肌的静息运动阈值（68%最大刺激器输出）。使用TMS兼容的EEG放大器（BrainAmp DC，BrainProducts GmbH，德国）从62个TMS专用、c形切口电极（EASYCAP，德国）记录EEG。所有通道的数据均在线参考FCz电极，AFz电极作为公共地。EEG信号以5 kHz数字化（滤波：DC-1000 Hz），EEG电极阻抗保持在5 kΩ以下。