Literature DB >> 30369433

Identifying Ketamine Responses in Treatment-Resistant Depression Using a Wearable Forehead EEG.

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Abstract

This study explores responses to ketamine in patients with treatment-resistant depression (TRD) using a wearable forehead electroencephalography (EEG) device. We recruited and randomly assigned 55 outpatients with TRD 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 scores. At baseline, the responders showed significantly weaker EEG theta power than the non-responders (p < 0.05). Compared to the baseline, the responders exhibited higher EEG alpha power but lower EEG alpha asymmetry and theta cordance post-treatment (p < 0.05). Furthermore, our baseline EEG predictor classified the 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. Prefrontal EEG patterns at baseline may serve as indicators of ketamine effects. Our randomized double-blind placebo-controlled study provides information regarding the clinical impacts on the potential targets underlying baseline identification and early changes from the effects of ketamine in patients with TRD.

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Year:  2018        PMID: 30369433     DOI: 10.1109/TBME.2018.2877651

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  7 in total

1.  Magnetoencephalography biomarkers of suicide attempt history and antidepressant response to ketamine in treatment-resistant major depression.

Authors:  Jessica R Gilbert; Jessica L Gerner; Courtney R Burton; Allison C Nugent; Carlos A Zarate; Elizabeth D Ballard
Journal:  J Affect Disord       Date:  2022-06-18       Impact factor: 6.533

2.  Efficacy of single and repeated administration of ketamine in unipolar and bipolar depression: a meta-analysis of randomized clinical trials.

Authors:  Joanna Kryst; Paweł Kawalec; Alicja Mikrut Mitoraj; Andrzej Pilc; Władysław Lasoń; Tomasz Brzostek
Journal:  Pharmacol Rep       Date:  2020-04-16       Impact factor: 3.024

3.  Electroencephalography Correlates of Well-Being Using a Low-Cost Wearable System.

Authors:  Cédric Cannard; Helané Wahbeh; Arnaud Delorme
Journal:  Front Hum Neurosci       Date:  2021-12-24       Impact factor: 3.169

Review 4.  Predicting treatment response using EEG in major depressive disorder: A machine-learning meta-analysis.

Authors:  Devon Watts; Rafaela Fernandes Pulice; Jim Reilly; Andre R Brunoni; Flávio Kapczinski; Ives Cavalcante Passos
Journal:  Transl Psychiatry       Date:  2022-08-12       Impact factor: 7.989

5.  Resting and TMS-EEG markers of treatment response in major depressive disorder: A systematic review.

Authors:  Rebecca Strafella; Robert Chen; Tarek K Rajji; Daniel M Blumberger; Daphne Voineskos
Journal:  Front Hum Neurosci       Date:  2022-08-04       Impact factor: 3.473

Review 6.  Biomarkers of ketamine's antidepressant effect: a clinical review of genetics, functional connectivity, and neurophysiology.

Authors:  Alexandra A Alario; Mark J Niciu
Journal:  Chronic Stress (Thousand Oaks)       Date:  2021-05-31

Review 7.  Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic Review.

Authors:  Blake Anthony Hickey; Taryn Chalmers; Phillip Newton; Chin-Teng Lin; David Sibbritt; Craig S McLachlan; Roderick Clifton-Bligh; John Morley; Sara Lal
Journal:  Sensors (Basel)       Date:  2021-05-16       Impact factor: 3.576

  7 in total

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