A simple reason why beamformer may (not) remove the tACS-induced artifact in MEG

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A simple reason why beamformer may (not) remove the tACS-induced artifact in MEG. / Mäkelä, Niko; Sarvas, Jukka; Ilmoniemi, Risto.

In: Brain Stimulation, Vol. 10, No. 4, 08.2017, p. e66-e67.

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@article{ed45c1f20a564c8daad60dbb37bca4f8,
title = "A simple reason why beamformer may (not) remove the tACS-induced artifact in MEG",
abstract = "Transcranial alternating current simulation (tACS) combined synchronouslywith magnetoencephalography (MEG) could be a useful tool for studying brain oscillations and their relation to cognitive functions, but the method, however, suffers from large tACS-induced MEG artifacts. Conventional beamformer methods have been suggested for removing - or at least reducing - the artifact, but its functioning principle is not yet fully understood. We demonstrate the reason behind the beamformer’s ability to remove/reduce the tACS artifact (and other mutually correlated noise sources) with simple theoretical reasoning and simulations. In addition, at odds with previous suggestions, we show how the imperfections of this removal method could be explained with basic linear algebra without any need to consider nonlinear effects.",
author = "Niko M{\"a}kel{\"a} and Jukka Sarvas and Risto Ilmoniemi",
year = "2017",
month = "8",
doi = "10.1016/j.brs.2017.04.110",
language = "English",
volume = "10",
pages = "e66--e67",
journal = "Brain Stimulation",
issn = "1935-861X",
publisher = "Elsevier Inc.",
number = "4",

}

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TY - JOUR

T1 - A simple reason why beamformer may (not) remove the tACS-induced artifact in MEG

AU - Mäkelä, Niko

AU - Sarvas, Jukka

AU - Ilmoniemi, Risto

PY - 2017/8

Y1 - 2017/8

N2 - Transcranial alternating current simulation (tACS) combined synchronouslywith magnetoencephalography (MEG) could be a useful tool for studying brain oscillations and their relation to cognitive functions, but the method, however, suffers from large tACS-induced MEG artifacts. Conventional beamformer methods have been suggested for removing - or at least reducing - the artifact, but its functioning principle is not yet fully understood. We demonstrate the reason behind the beamformer’s ability to remove/reduce the tACS artifact (and other mutually correlated noise sources) with simple theoretical reasoning and simulations. In addition, at odds with previous suggestions, we show how the imperfections of this removal method could be explained with basic linear algebra without any need to consider nonlinear effects.

AB - Transcranial alternating current simulation (tACS) combined synchronouslywith magnetoencephalography (MEG) could be a useful tool for studying brain oscillations and their relation to cognitive functions, but the method, however, suffers from large tACS-induced MEG artifacts. Conventional beamformer methods have been suggested for removing - or at least reducing - the artifact, but its functioning principle is not yet fully understood. We demonstrate the reason behind the beamformer’s ability to remove/reduce the tACS artifact (and other mutually correlated noise sources) with simple theoretical reasoning and simulations. In addition, at odds with previous suggestions, we show how the imperfections of this removal method could be explained with basic linear algebra without any need to consider nonlinear effects.

U2 - 10.1016/j.brs.2017.04.110

DO - 10.1016/j.brs.2017.04.110

M3 - Article

VL - 10

SP - e66-e67

JO - Brain Stimulation

JF - Brain Stimulation

SN - 1935-861X

IS - 4

ER -

ID: 16408890