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Open AccessJournal ArticleDOI

Topographic ERP Analyses: A Step-by-Step Tutorial Review

Micah M. Murray, +2 more
- 18 Mar 2008 - 
- Vol. 20, Iss: 4, pp 249-264
TLDR
This tutorial review 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 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.
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.

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Citations
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BOLD correlates of EEG topography reveal rapid resting-state network dynamics

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Spatiotemporal analysis of multichannel EEG: CARTOOL

TL;DR: Methods to analyze the brain's electric fields recorded with multichannel Electroencephalogram (EEG) and their implementation in the software CARTOOL, designed to visualize the data and the analysis results using 3-dimensional display routines that allow rapid manipulation and animation of 3D images.
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EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: A review.

TL;DR: An overview of electrical microstates in the brain, which are defined as successive short time periods during which the configuration of the scalp potential field remains semi‐stable, suggests quasi‐simultaneity of activity among the nodes of large‐scale networks.
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Towards the utilization of EEG as a brain imaging tool

TL;DR: It is shown that many cognitive and clinical EEG studies use the EEG still in its traditional way and analyze grapho-elements at certain electrodes and latencies, which is not only dangerous because it leads to misinterpretations, but it is also largely ignoring the spatial aspects of the signals.
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Spontaneous EEG oscillations reveal periodic sampling of visual attention

TL;DR: Electrophysiological evidence that perception at attended locations is actually modulated periodically is presented, suggesting that “sustained” attention in fact exerts its facilitative effect on perception in a periodic fashion.
References
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Book

An Introduction to the Event-Related Potential Technique

TL;DR: In An Introduction to the Event-Related Potential Technique, Steve Luck offers the first comprehensive guide to the practicalities of conducting ERP experiments in cognitive neuroscience and related fields, including affective neuroscience and experimental psychopathology.
Book

Statistical Parametric Mapping: The Analysis of Functional Brain Images

TL;DR: In an age where the amount of data collected from brain imaging is increasing constantly, it is of critical importance to analyse those data within an accepted framework to ensure proper integration and comparison of the information collected as discussed by the authors.
Journal ArticleDOI

Scalp distributions of event-related potentials: An ambiguity associated with analysis of variance models

TL;DR: Using potential distributions generated by dipole sources in spherical volume conductor models, it is demonstrated that highly significant interactions involving electrode location can be obtained between scalp distributions with identical shapes generated by the same source.
Book

Randomization and Monte Carlo methods in biology

TL;DR: This book discusses the construction of tests in non-standard situations testing for randomness of species co-occurences on islands examining time change in niche ovelap probing multivariate data with random skewers other examples.
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