Academic Journal
Spectral decomposition of EEG microstates in post-traumatic stress disorder
| العنوان: | Spectral decomposition of EEG microstates in post-traumatic stress disorder |
|---|---|
| المؤلفون: | Terpou, Braeden A., Shaw, Saurabh B., Théberge, Jean, Férat, Victor, Michel, Christoph M., McKinnon, Margaret C., Lanius, Ruth A., Ros, Tomas |
| المصدر: | Neuroimage Clin |
| بيانات النشر: | Elsevier Scholarship@Western |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Regular Article, info, psy |
| الوصف: | Microstates offer a promising framework to study fast-scale brain dynamics in the resting-state electroencephalogram (EEG). However, microstate dynamics have yet to be investigated in post-traumatic stress disorder (PTSD), despite research demonstrating resting-state alterations in PTSD. We performed microstate-based segmentation of resting-state EEG in a clinical population of participants with PTSD (N = 61) and a non-traumatized, healthy control group (N = 61). Microstate-based measures (i.e., occurrence, mean duration, time coverage) were compared group-wise using broadband (1–30 Hz) and frequency-specific (i.e., delta, theta, alpha, beta bands) decompositions. In the broadband comparisons, the centro-posterior maximum microstate (map E) occurred significantly less frequently (d = -0.64, pFWE = 0.03) and had a significantly shorter mean duration in participants with PTSD as compared to controls (d = -0.71, pFWE < 0.01). These differences were reflected in the narrow frequency bands as well, with lower frequency bands like delta (d = -0.78, pFWE < 0.01), theta (d = -0.74, pFWE = 0.01), and alpha (d = -0.65, pFWE = 0.02) repeating these group-level trends, only with larger effect sizes. Interestingly, a support vector machine classification analysis comparing broadband and frequency-specific measures revealed that models containing only alpha band features significantly out-perform broadband models. When classifying PTSD, the classification accuracy was 76 % and 65 % for the alpha band and the broadband model, respectively (p = 0.03). Taken together, we provide original evidence supporting the clinical utility of microstates as diagnostic markers of PTSD and demonstrate that filtering EEG into distinct frequency bands significantly improves microstate-based classification of a psychiatric disorder. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| Relation: | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9421541/ |
| الاتاحة: | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9421541/ |
| Rights: | undefined |
| رقم الانضمام: | edsbas.E13868F8 |
| قاعدة البيانات: | BASE |
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