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

Biology

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