volume 50 issue 6 pages 941-946

REM density predicts rapid antidepressant response to ketamine in individuals with treatment-resistant depression

Mina Kheirkhah 1, 2
Wallace C Duncan 1
Qiaoping Yuan 3
Philip R Wang 1, 4
Hamidreza Jamalabadi 5
Lutz Leistritz 6
Martin Walter 2
D. Goldman 3
Carlos A. Zarate 1
Nadia S Hejazi 1
Publication typeJournal Article
Publication date2025-02-15
scimago Q1
wos Q1
SJR2.944
CiteScore13.7
Impact factor7.1
ISSN0893133X, 1470634X, 1740634X
Abstract

Abnormalities during rapid eye movement (REM) sleep contribute to the pathophysiology of major depressive disorder (MDD), but few studies have explored the relationship between REM sleep and treatment-resistant depression (TRD). In MDD, REM sleep abnormalities often manifest as alterations in total night REM Density (RD), RD in the first REM period (RD1), and REM Latency (RL). Among these, RD1 is notably considered a potential endophenotype of depression. This study compared REM sleep markers between 63 drug-free individuals with TRD (39 F/24 M) and 41 healthy volunteers (25 F/16 M). It also investigated the effects of ketamine, an N-methyl-D-aspartate (NMDA) receptor antagonist, on these REM sleep variables. Specifically, the study investigated whether RD1 could predict antidepressant response to ketamine. TRD participants showed higher RD1 and shorter RL at baseline compared to HVs, as assessed via non-parametric tests, but Total Night RD did not differ between the two groups. Ketamine treatment decreased RD1 in TRD participants but did not affect Total Night RD or RL. As assessed via the Support Vector Machine (SVM) algorithm, baseline RD1 level moderately predicted antidepressant response to ketamine versus non-response (area under the receiver operating characteristic (ROC) curve (AUC) = 0.73, with a median accuracy of 0.75), wherein TRD participants with higher baseline RD1 were more likely to respond to ketamine. These results underscore the utility of RD1 for identifying individuals most likely to benefit from ketamine treatment, enabling more targeted and effective therapeutic strategies. Clinical Trials Identifier: NCT00088699, NCT01204918.

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Kheirkhah M. et al. REM density predicts rapid antidepressant response to ketamine in individuals with treatment-resistant depression // Neuropsychopharmacology. 2025. Vol. 50. No. 6. pp. 941-946.
GOST all authors (up to 50) Copy
Kheirkhah M., Duncan W. C., Yuan Q., Wang P. R., Jamalabadi H., Leistritz L., Walter M., Goldman D., Zarate C. A., Hejazi N. S. REM density predicts rapid antidepressant response to ketamine in individuals with treatment-resistant depression // Neuropsychopharmacology. 2025. Vol. 50. No. 6. pp. 941-946.
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TY - JOUR
DO - 10.1038/s41386-025-02066-7
UR - https://www.nature.com/articles/s41386-025-02066-7
TI - REM density predicts rapid antidepressant response to ketamine in individuals with treatment-resistant depression
T2 - Neuropsychopharmacology
AU - Kheirkhah, Mina
AU - Duncan, Wallace C
AU - Yuan, Qiaoping
AU - Wang, Philip R
AU - Jamalabadi, Hamidreza
AU - Leistritz, Lutz
AU - Walter, Martin
AU - Goldman, D.
AU - Zarate, Carlos A.
AU - Hejazi, Nadia S
PY - 2025
DA - 2025/02/15
PB - Springer Nature
SP - 941-946
IS - 6
VL - 50
SN - 0893-133X
SN - 1470-634X
SN - 1740-634X
ER -
BibTex |
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BibTex (up to 50 authors) Copy
@article{2025_Kheirkhah,
author = {Mina Kheirkhah and Wallace C Duncan and Qiaoping Yuan and Philip R Wang and Hamidreza Jamalabadi and Lutz Leistritz and Martin Walter and D. Goldman and Carlos A. Zarate and Nadia S Hejazi},
title = {REM density predicts rapid antidepressant response to ketamine in individuals with treatment-resistant depression},
journal = {Neuropsychopharmacology},
year = {2025},
volume = {50},
publisher = {Springer Nature},
month = {feb},
url = {https://www.nature.com/articles/s41386-025-02066-7},
number = {6},
pages = {941--946},
doi = {10.1038/s41386-025-02066-7}
}
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Kheirkhah, Mina, et al. “REM density predicts rapid antidepressant response to ketamine in individuals with treatment-resistant depression.” Neuropsychopharmacology, vol. 50, no. 6, Feb. 2025, pp. 941-946. https://www.nature.com/articles/s41386-025-02066-7.