Linked Life Data

18347966

Source:http://linkedlifedata.com/resource/pubmed/id/18347966

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2008-4-4
pubmed:abstractText
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.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
0896-0267
pubmed:author
pubmed:issnType
Print
pubmed:volume
20
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
249-64
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Topographic ERP analyses: a step-by-step tutorial review.
pubmed:affiliation
Electroencephalography Brain Mapping Core, Center for Biomedical Imaging of Lausanne and Geneva, Radiologie CHUV BH08.078, Bugnon 46 Lausanne, Switzerland. micah.murray@chuv.ch
pubmed:publicationType
Journal Article, Review, Research Support, Non-U.S. Gov't