| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 912067 | Journal of Neurolinguistics | 2008 | 28 Pages |
Abstract
In order to demonstrate the power of the method, this study constructed two separate models for a dyslexic and regular reader, respectively. The models were based on ERP data recorded during a lexical decision task. The similarity of each subject to both models was calculated. This method correctly classified 68% of subjects. In addition, the model was able to detect sub-groups within each diagnostic category with distinct behavioral patterns.
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Authors
Itamar Sela, Shlomo Breznitz, Zvia Breznitz,