Literature DB >> 18347966

Topographic ERP analyses: a step-by-step tutorial review.

Micah M Murray1, Denis Brunet, Christoph M Michel.   

Abstract

In this tutorial review, we detail both the rationale for as well as the implementation of a set of analyses of surface-recorded event-related potentials (ERPs) that uses the reference-free spatial (i.e. topographic) information available from high-density electrode montages to render statistical information concerning modulations in response strength, latency, and topography both between and within experimental conditions. In these and other ways these topographic analysis methods allow the experimenter to glean additional information and neurophysiologic interpretability beyond what is available from canonical waveform analyses. In this tutorial we present the example of somatosensory evoked potentials (SEPs) in response to stimulation of each hand to illustrate these points. For each step of these analyses, we provide the reader with both a conceptual and mathematical description of how the analysis is carried out, what it yields, and how to interpret its statistical outcome. We show that these topographic analysis methods are intuitive and easy-to-use approaches that can remove much of the guesswork often confronting ERP researchers and also assist in identifying the information contained within high-density ERP datasets.

Mesh:

Year:  2008        PMID: 18347966     DOI: 10.1007/s10548-008-0054-5

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  268 in total

1.  Effects of social context and predictive relevance on action outcome monitoring.

Authors:  Leonie Koban; Gilles Pourtois; Benoit Bediou; Patrik Vuilleumier
Journal:  Cogn Affect Behav Neurosci       Date:  2012-09       Impact factor: 3.282

Review 2.  The many faces of preparatory control in task switching: reviewing a decade of fMRI research.

Authors:  Hannes Ruge; Sharna Jamadar; Uta Zimmermann; Frini Karayanidis
Journal:  Hum Brain Mapp       Date:  2011-10-14       Impact factor: 5.038

3.  Rhythm evokes action: early processing of metric deviances in expressive music by experts and laymen revealed by ERP source imaging.

Authors:  Clara E James; Christoph M Michel; Juliane Britz; Patrik Vuilleumier; Claude-Alain Hauert
Journal:  Hum Brain Mapp       Date:  2011-09-20       Impact factor: 5.038

4.  Neural time course of visually enhanced echo suppression.

Authors:  Christopher W Bishop; Sam London; Lee M Miller
Journal:  J Neurophysiol       Date:  2012-07-11       Impact factor: 2.714

5.  Spontaneous EEG oscillations reveal periodic sampling of visual attention.

Authors:  Niko A Busch; Rufin VanRullen
Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-30       Impact factor: 11.205

6.  Right parietal brain activity precedes perceptual alternation during binocular rivalry.

Authors:  Juliane Britz; Michael A Pitts; Christoph M Michel
Journal:  Hum Brain Mapp       Date:  2010-08-05       Impact factor: 5.038

7.  Brain dynamics underlying training-induced improvement in suppressing inappropriate action.

Authors:  Aurelie L Manuel; Jeremy Grivel; Fosco Bernasconi; Micah M Murray; Lucas Spierer
Journal:  J Neurosci       Date:  2010-10-13       Impact factor: 6.167

8.  EEG microstate sequences in healthy humans at rest reveal scale-free dynamics.

Authors:  Dimitri Van de Ville; Juliane Britz; Christoph M Michel
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-04       Impact factor: 11.205

9.  Positive emotion broadens attention focus through decreased position-specific spatial encoding in early visual cortex: evidence from ERPs.

Authors:  Naomi Vanlessen; Valentina Rossi; Rudi De Raedt; Gilles Pourtois
Journal:  Cogn Affect Behav Neurosci       Date:  2013-03       Impact factor: 3.282

10.  Normative topographic ERP analyses of speed of speech processing and grammar before and after grammatical treatment.

Authors:  Paul J Yoder; Dennis Molfese; Micah M Murray; Alexandra P F Key
Journal:  Dev Neuropsychol       Date:  2013       Impact factor: 2.253

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