کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
562848 | 875452 | 2006 | 11 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Phase synchrony and coherence analyses of EEG as tools to discriminate between children with and without attention deficit disorder Phase synchrony and coherence analyses of EEG as tools to discriminate between children with and without attention deficit disorder](/preview/png/562848.png)
Phase synchrony and model-based magnitude squared (MS) coherence analyses of the EEG are investigated for their usefulness in the discrimination between non-ADHD and ADHD children.We observed that phase synchrony is higher – on average – for non-ADHD participants than for the ADHD group. Based on the relatively small sample available to us, we find that a Euclidean distance-based classifier may – with selection of proper electrode pairs, EEG rhythm, and task – discriminate between the EEG of non-ADHD and ADHD children with an average percentage of correct classification of 63.2%.MS coherence was observed to be considerably higher at low frequencies (i.e. below 1 Hz) for ADHD subjects than for the majority of the non-ADHD individuals. We also observed that the θ rhythm MS coherence (approximately 4–6 Hz) is generally higher for non-ADHD subjects than for ADHD individuals. The combination of these effects was observed on four out of the seven non-ADHD subjects and on all six of the ADHD subjects.
Journal: Biomedical Signal Processing and Control - Volume 1, Issue 2, April 2006, Pages 151–161