iTBS and cTBS dataset

Description

This study aimed to investigate blood oxygenation levels in the DLPFC during Theta Burst Stimulation, using concurrent functional Near-Infrared Spectroscopy (fNIRS). Methods: 44 young adults completed within-subjects 2 x 2 design with 4 conditions that included intermittent TBS (iTBS) and continuous TBS (cTBS) stimulation applied to the left and right dorsolateral prefrontal cortex (F3 and F4). FNIRS was recorded concurrently, with 12 optode channels spanning across the left, medial and right prefrontal cortex measuring oxygenated and deoxygenated blood in response to TBS stimulation.

Steps to reproduce

This is a *.mat file generated using NIRS Toolbox. It needs to be opened in MatLab includes the raw data, HDR, single subject statistics and group averaged statistics using the following method: All data files were converted into a *.NIRS format using the oxysoft2matlab function (MatLab R2022a, Mathworks Inc) and stored in folders according to the Brain Imaging Data Structure (BIDS) framework. Functional NIRS data is subject to biological and technical artefacts and so prior to pre-processing the QTNirs toolbox was used to identify suboptimal channels for each participant. Channels that didn’t reach a cut-off of 70% signal quality during baseline and TBS recording were excluded from further analysis. In addition, any participant who had <50% suboptimal channels were excluded from the subsequence analysis. This resulted in 4 participants being excluded for the cTBS condition, resulting in 40 participants, whereas for iTBS all participants achieved this criterion resulting in all 44 participants included in further analysis. Data was then subjected to a standard pre-processing pipeline within the NIRS toolbox administered in the MatLab environment (BrainAnalyzer, Santosa et al., 2018). A bandpass filter (0.001 – 0.25Hz) removed psychological noise before data was converted from haemodynamic intensity raw data into optical density (OD) using the modified Beer-Lambert Law. A GLM model using the FIR basis function to model the TBS data. Using the onset event triggers generated from the TMS machine to the fNIRS input we could accurately align fNIRS data with TBS onset. For iTBS, the stimulation matrix comprised 20 x 10s epochs that were averaged within participants, before generating a group level HbO and HHb. For cTBS, an average change from baseline to the 40s stimulation time was calculated for each participant before group level HbO and HHb were generated. Changes in HbO and HHb from baseline were calculated independently for each of the 12 channels to each of the 4 conditions: LH iTBS, RH iTBS, LH cTBS and RH cTBS. These group level results were followed by T-tests to identify significant effects.

Institutions

• University of Leeds

  West Yorkshire, Leeds

Categories

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