Dataset for mAChR-mediated cholinergic neurotransmission in TMS–EEG responses

This repository contains a dataset supporting results in the article: Involvement of mAChR-mediated cholinergic neurotransmission in TMS–EEG responses. Song, Y., Gordon, P. C., Roy, O., Metsomaa, J., Belardinelli, P., Rostami, M., & Ziemann, U. in submission, 2024. The CHODME (PHARMACO) dataset contains pre-processed pharmacologic TMS-EEG data from 24 healthy participants. The raw TMS-EEG data were collected as part of a placebo-controlled cross-over study involving three experimental sessions per participant. Participants were given a single oral dose of scopolamine, biperiden, or placebo during each session, with the drug order randomized and balanced across the sessions. Each session included three blocks of single-pulse TMS–EEG recordings targeting the mPFC, AG, and SMA, respectively. The code used to preprocess and process TMS-EEG signal and generate the results in the article can be found on GitHub: https://github.com/Song-Yufei/anti-cholinergic-drugs-on-TMS-EEG-responses The dataset includes: 24 data files from 24 participants, each including preprocessed tms-eeg signals stored in fieldtrip data structure per cortical target per session. Leadfield matrix per session. Head model per participant. An example tms-eeg dataset before preprocessing from a participant (in eeglab data structure). The preprocessing steps are described in the article's method section and in the code: tms_eeg_Cleaningpipeline.m (available in the GitHub repo). A generic head model Session information