Experimental evaluation of methods for real-time EEG phase-specific transcranial magnetic stimulation.

ABSTRACT:

Objective

Real-time approaches for transcranial magnetic stimulation (TMS) based on a specific EEG phase are a promising avenue for more precise neuromodulation interventions. However, optimal approaches to reliably extract the EEG phase in a frequency band of interest to inform TMS are still to be identified. Here, we implement a new real-time phase detection method for closed-loop EEG-TMS for robust phase extraction. We compare this algorithm with state-of-the-art methods and evaluate its performance both in silico and experimentally.

Approach

We propose a new robust algorithm (Educated Temporal Prediction) for delivering real-time EEG phase-specific stimulation based on short prerecorded EEG training data. This method estimates the interpeak period from a training period

SUBMITTER: Shirinpour S 

PROVIDER: S-EPMC8293904 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature