Identifying Ketamine Responses in Treatment-Resistant Depression Using a Wearable Forehead EEG
Zehong Cao, Chin-Teng Lin, Weiping Ding, Mu-Hong Chen, Cheng-Ta Li,, Tung-Ping Su

TL;DR
This study demonstrates that wearable forehead EEG can predict and monitor ketamine response in treatment-resistant depression, revealing specific EEG patterns associated with treatment outcomes and early changes.
Contribution
It introduces a novel use of wearable EEG to predict ketamine response in TRD patients, highlighting baseline EEG markers and early post-treatment changes.
Findings
Baseline EEG theta power predicts response with 81.3% accuracy.
Responders show increased alpha power and decreased alpha asymmetry post-treatment.
EEG markers can distinguish responders from non-responders before and after treatment.
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…
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