NeuralEcho MACS high-density communication-related EEG dataset

NeuralEcho MACS high-density communication-related EEG dataset ================================================================ Overview -------- This dataset contains high-density EEG recordings from 30 healthy, right-handed, native Chinese-speaking adults. Participants performed imagined and executed vocalization and writing tasks involving four Chinese strokes (heng, shu, pie and na) and four English letters (a, b, c and d). Experimental design ------------------- Each participant completed eight runs of 64 trials. The factorial design crossed task mode (motor imagery or motor execution), action (read/speak or write), script (Chinese or English) and token identity, yielding 32 event-coded conditions and 15,360 task events. Data organization ----------------- The BIDS root contains BrainVision EEG data and metadata. Proprietary Neuroscan source recordings are under sourcedata/. EEGLAB preprocessing derivatives and subject-level machine-learning exports are under derivatives/. Those two directories are intentionally listed in .bidsignore because they are shared for reuse but are not part of raw-BIDS validation. Electrode coordinates and reference ----------------------------------- The electrodes.tsv files contain a shared 127-channel cap-layout template derived from Code/127cn.csv. Coordinates are expressed in millimetres using the EEGLAB ALS convention: positive x points anteriorly, positive y points to the participant's left and positive z points superiorly. These are template coordinates repeated across participants, not participant-specific digitized positions. Trigger is an acquisition channel and is therefore excluded from electrodes.tsv. The continuous recordings used the bilateral mastoid electrodes M1 and M2 as the EEG reference. Authors and contributors ------------------------ Huang Jinfeng; Kangqiao Liu; Li Zhongjie; Jin Yongdong. Data were collected and curated collaboratively by Tianjin University, Shenzhen University and NeuralEcho Technology Co., Ltd. References ---------- Appelhoff, S. et al. MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal of Open Source Software 4, 1896 (2019). https://doi.org/10.21105/joss.01896 Pernet, C. R. et al. EEG-BIDS, an extension to the brain imaging data structure for electroencephalography. Scientific Data 6, 103 (2019). https://doi.org/10.1038/s41597-019-0104-8