| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6030617 | NeuroImage | 2013 | 7 Pages |
Abstract
⺠A novel approach to capture dynamic patterns of functional connectivity using EEG is presented. ⺠Segmentation, Dynamic Time Warping, and Clustering techniques are employed. ⺠Functional connectivity patterns in response to two oddball tasks are successfully captured.
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Authors
Nader Karamzadeh, Andrei Medvedev, Afrouz Azari, Amir Gandjbakhche, Laleh Najafizadeh,