Matlab Codes for resting-state EEG recording and 3 methods of real-time EEG phase estimation for closed-loop EEG-TMS:
- Autoregression-based prediction (AR),
- FFT-based prediction (FFT), and
- Educated Temporal Prediction (ETP).
Real-time EEG data acquisition is done using LSL (https://github.com/sccn/labstreaminglayer). Triggers to the TMS machine are delivered from the parallel port on the PC using InpOutx64 DLL (http://www.highrez.co.uk/downloads/inpout32/). The code runs in MATLAB (MathWorks) 2014b+ and requires the FieldTrip toolbox (https://github.com/fieldtrip/fieldtrip).
For more information, refer to Shirinpour et al., Experimental Evaluation of Methods for Real-Time EEG Phase-Specific Transcranial Magnetic Stimulation, 2020, Journal of Neural Engineering, doi: https://doi.org/10.1088/1741-2552/ab9dba
Correspondence: shiri008 -at- umn.edu (Sina Shirinpour), aopitz -at- umn.edu (Alex Opitz)
For a further implementations of the approch by our lab see: Miles Wischnewski, Zachary J. Haigh, Sina Shirinpour, Ivan Alekseichuk, Alexander Opitz, The phase of sensorimotor mu and beta oscillations has the opposite effect on corticospinal excitability, Brain Stimulation, 2022. https://www.sciencedirect.com/science/article/pii/S1935861X22001838