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TopoToolbox : Using Sensor Topography to Calculate Psychologically Meaningful Measures from Event-Related EEGMEG
Joint Authors
Huber, David E.
Poeppel, David
Tian, Xing
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-04-18
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The open-source toolbox “TopoToolbox” is a suite of functions that use sensor topography to calculate psychologically meaningful measures (similarity, magnitude, and timing) from multisensor event-related EEG and MEG data.
Using a GUI and data visualization, TopoToolbox can be used to calculate and test the topographic similarity between different conditions (Tian and Huber, 2008).
This topographic similarity indicates whether different conditions involve a different distribution of underlying neural sources.
Furthermore, this similarity calculation can be applied at different time points to discover when a response pattern emerges (Tian and Poeppel, 2010).
Because the topographic patterns are obtained separately for each individual, these patterns are used to produce reliable measures of response magnitude that can be compared across individuals using conventional statistics (Davelaar et al.
Submitted and Huber et al., 2008).
TopoToolbox can be freely downloaded.
It runs under MATLAB (The MathWorks, Inc.) and supports user-defined data structure as well as standard EEG/MEG data import using EEGLAB (Delorme and Makeig, 2004).
American Psychological Association (APA)
Tian, Xing& Poeppel, David& Huber, David E.. 2011. TopoToolbox : Using Sensor Topography to Calculate Psychologically Meaningful Measures from Event-Related EEGMEG. Computational Intelligence and Neuroscience،Vol. 2011, no. 2011, pp.1-8.
https://search.emarefa.net/detail/BIM-489518
Modern Language Association (MLA)
Tian, Xing…[et al.]. TopoToolbox : Using Sensor Topography to Calculate Psychologically Meaningful Measures from Event-Related EEGMEG. Computational Intelligence and Neuroscience No. 2011 (2011), pp.1-8.
https://search.emarefa.net/detail/BIM-489518
American Medical Association (AMA)
Tian, Xing& Poeppel, David& Huber, David E.. TopoToolbox : Using Sensor Topography to Calculate Psychologically Meaningful Measures from Event-Related EEGMEG. Computational Intelligence and Neuroscience. 2011. Vol. 2011, no. 2011, pp.1-8.
https://search.emarefa.net/detail/BIM-489518
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-489518