Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2017 Sep:158:406-416.
doi: 10.1016/j.neuroimage.2017.07.010. Epub 2017 Jul 12.

Phase properties of transcranial electrical stimulation artifacts in electrophysiological recordings

Affiliations

Phase properties of transcranial electrical stimulation artifacts in electrophysiological recordings

Nima Noury et al. Neuroimage. 2017 Sep.

Abstract

Monitoring brain activity during transcranial electric stimulation (tES) is an attractive approach for causally studying healthy and diseased brain activity. Yet, stimulation artifacts complicate electrophysiological recordings during tES. Design and evaluation of artifact removal methods require a through characterization of artifact features, i.e. characterization of the transfer function that defines the relationship between the tES stimulation current and tES artifacts. Here we characterize the phase relationship between stimulation current and tES artifacts in EEG and MEG. We show that stimulation artifacts are not pure in-phase or anti-phase signals, but that non-linear mechanisms induce steady phase deflections relative to the stimulation current. Furthermore, phase deflections of stimulation artifacts are slightly modulated by each heartbeat and respiration. For commonly used stimulation amplitudes, artifact phase deflections correspond to signals several times bigger than normal brain signal. Moreover, the strength of phase deflections varies with stimulation frequency. These phase effects should be accounted for during artifact removal and when comparing recordings with different stimulation frequencies. We summarize our findings in a mathematical model of tES artifacts and discuss how this model can be used in simulations to design and evaluate artifact rejection techniques. To facilitate this research, all raw data of this study is made freely available.

Keywords: EEG; MEG; Neural entrainment; Stimulation artifacts; Transcranial alternating current stimulation (tACS); Transcranial direct current stimulation (tDCS); Transcranial electric stimulation (tES).

PubMed Disclaimer

Similar articles

Cited by

Publication types

LinkOut - more resources