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Scientific article
Review
English

Comparing ICA-based and single-trial topographic ERP analyses

Contributors

De Lucia, Marzia; Michel, Christoph; Murray, Micah

Published in

Brain topography, vol. 23, no. 2, p. 119-127

Publication date

2010

Abstract

Single-trial analysis of human electroencephalography (EEG) has been recently proposed for better understanding the contribution of individual subjects to a group-analysis effect as well as for investigating single-subject mechanisms. Independent Component Analysis (ICA) has been repeatedly applied to concatenated single-trial responses and at a single-subject level in order to extract those components that resemble activities of interest. More recently we have proposed a single-trial method based on topographic maps that determines which voltage configurations are reliably observed at the event-related potential (ERP) level taking advantage of repetitions across trials. Here, we investigated the correspondence between the maps obtained by ICA versus the topographies that we obtained by the single-trial clustering algorithm that best explained the variance of the ERP. To do this, we used exemplar data provided from the EEGLAB website that are based on a dataset from a visual target detection task. We show there to be robust correspondence both at the level of the activation time courses and at the level of voltage configurations of a subset of relevant maps. We additionally show the estimated inverse solution (based on low-resolution electromagnetic tomography) of two corresponding maps occurring at approximately 300 ms post-stimulus onset, as estimated by the two aforementioned approaches. The spatial distribution of the estimated sources significantly correlated and had in common a right parietal activation within Brodmann's Area (BA) 40. Despite their differences in terms of theoretical bases, the consistency between the results of these two approaches shows that their underlying assumptions are indeed compatible.

Keywords

  • Algorithms
  • Brain/*physiology
  • Brain Mapping/*methods
  • Cluster Analysis
  • Databases as Topic
  • Electroencephalography/*methods
  • *Evoked Potentials
  • Functional Laterality
  • Humans
  • Internet
  • Models, Neurological
  • Normal Distribution
  • Parietal Lobe/physiology
  • Probability
  • *Signal Processing, Computer-Assisted
  • Time Factors
  • Visual Perception/physiology

UNIGE affiliation entities

UNIGE research groups

Citation (ISO format)

DE LUCIA, Marzia, MICHEL, Christoph, MURRAY, Micah. Comparing ICA-based and single-trial topographic ERP analyses. In: Brain topography, 2010, vol. 23, n° 2, p. 119–127. doi: 10.1007/s10548-010-0145-y

Main files (1)

Article

Identifiers

Additional URL for this publication

http://www.springerlink.com/content/0434470562p74q00/fulltext.pdf

Journal ISSN

0896-0267
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Technical informations

Creation

23/05/2012 08:45:08

First validation

23/05/2012 08:45:08

Update

14/03/2023 17:32:36

Status update

14/03/2023 17:32:35

Last indexation

29/10/2024 19:58:48
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