Measuring the accuracy of ICA-based artifact removal from TMS-evoked potentials.

ABSTRACT:

Background

The analysis and interpretation of transcranial magnetic stimulation (TMS)-evoked potentials (TEPs) relies on successful cleaning of the artifacts, which typically mask the early (0-30 ms) TEPs. Independent component analysis (ICA) is possibly the single most utilized methodology to clean these signals.

Objective

ICA-based cleaning is reliable provided that the input data are composed of independent components. Differently, in case the underlying components are to some extent dependent, ICA algorithms may yield erroneous estimates of the components, resulting in incorrectly cleaned data. We aim to ascertain whether TEP signals are suited for ICA.

Methods

We present a systematic analysis of how the properties of simulated artifacts imposed on measured artifa

SUBMITTER: Atti I 

PROVIDER: S-EPMC11636693 | biostudies-literature | 2024 Jan-Feb

REPOSITORIES: biostudies-literature