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Identifying Ketamine Responses in Treatment-Resistant Depression Using a Wearable Forehead EEG
- Source :
- IEEE Transactions on Biomedical Engineering (Page(s): 1668 - 1679, Volume: 66 , Issue: 6 , June 2019 )
- Publication Year :
- 2018
-
Abstract
- This study explores the responses to ketamine in patients with treatment-resistant depression (TRD) using a wearable forehead electroencephalography (EEG) device. We recruited fifty-five outpatients with TRD who were randomised into three approximately equal-sized groups (A: 0.5 mg/kg ketamine; B: 0.2 mg/kg ketamine; and C: normal saline) under double-blind conditions. The ketamine responses were measured by EEG signals and Hamilton Depression Rating Scale (HDRS) scores. At baseline, responders showed a significantly weaker EEG theta power than did non- responders (p < 0.05). Responders exhibited a higher EEG alpha power but lower EEG alpha asymmetry and theta cordance at post-treatment than at baseline (p < 0.05). Furthermore, our baseline EEG predictor classified responders and non-responders with 81.3 +- 9.5% accuracy, 82.1 +- 8.6% sensitivity and 91.9 +- 7.4% specificity. In conclusion, the rapid antidepressant effects of mixed doses of ketamine are associated with prefrontal EEG power, asymmetry and cordance at baseline and early post-treatment changes. The prefrontal EEG patterns at baseline may account for recognising ketamine effects in advance. Our randomised, double- blind, placebo-controlled study provides information regarding clinical impacts on the potential targets underlying baseline identification and early changes from the effects of ketamine in patients with TRD.<br />Comment: This revised article is submitting to IEEE TBME
- Subjects :
- Electrical Engineering and Systems Science - Signal Processing
Subjects
Details
- Database :
- arXiv
- Journal :
- IEEE Transactions on Biomedical Engineering (Page(s): 1668 - 1679, Volume: 66 , Issue: 6 , June 2019 )
- Publication Type :
- Report
- Accession number :
- edsarx.1805.11446
- Document Type :
- Working Paper
- Full Text :
- https://doi.org/10.1109/TBME.2018.2877651