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

被引:0
|
作者
Kheirkhah, Mina [1 ,2 ]
Duncan Jr, Wallace C. [1 ]
Yuan, Qiaoping [3 ]
Wang, Philip R. [1 ,4 ]
Jamalabadi, Hamidreza [5 ]
Leistritz, Lutz [6 ]
Walter, Martin [2 ]
Goldman, David [3 ]
Zarate, Carlos A. [1 ]
Hejazi, Nadia S. [1 ]
机构
[1] Natl Inst Mental Hlth, Expt Therapeut & Pathophysiol Branch, Intramural Res Program, NIH, Bethesda, MD 20892 USA
[2] Jena Univ Hosp, Dept Psychiat & Psychotherapy, Jena, Germany
[3] Natl Inst Alcohol Abuse & Alcoholism, NIH, Bethesda, MD USA
[4] Brigham & Womens Hosp, Dept Psychiat, Boston, MA USA
[5] Philipps Univ Marburg, Dept Psychiat & Psychotherapy, Marburg, Germany
[6] Jena Univ Hosp, Inst Med Stat Comp & Data Sci, Jena, Germany
关键词
D-ASPARTATE ANTAGONIST; EYE-MOVEMENT SLEEP; EEG SLEEP; ELECTROENCEPHALOGRAPHIC SLEEP; PSYCHIATRIC-DISORDERS; MUNICH VULNERABILITY; PLASTICITY; INDICATOR; ILLNESS; PROFILE;
D O I
10.1038/s41386-025-02066-7
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Rapid neuroplasticity changes and response to intravenous ketamine: a randomized controlled trial in treatment-resistant depression
    Kopelman, Jared
    Keller, Timothy A.
    Panny, Benjamin
    Griffo, Angela
    Degutis, Michelle
    Spotts, Crystal
    Cruz, Nicolas
    Bell, Elizabeth
    Do-Nguyen, Kevin
    Wallace, Meredith L.
    Mathew, Sanjay J.
    Howland, Robert H.
    Price, Rebecca B.
    TRANSLATIONAL PSYCHIATRY, 2023, 13 (01)
  • [42] Rapid neuroplasticity changes and response to intravenous ketamine: a randomized controlled trial in treatment-resistant depression
    Jared Kopelman
    Timothy A. Keller
    Benjamin Panny
    Angela Griffo
    Michelle Degutis
    Crystal Spotts
    Nicolas Cruz
    Elizabeth Bell
    Kevin Do-Nguyen
    Meredith L. Wallace
    Sanjay J. Mathew
    Robert H. Howland
    Rebecca B. Price
    Translational Psychiatry, 13
  • [43] Electrophysiological biomarkers of antidepressant response to ketamine in treatment-resistant depression: Gamma power and long-term potentiation
    Gilbert, Jessica R.
    Zarate, Carlos A., Jr.
    PHARMACOLOGY BIOCHEMISTRY AND BEHAVIOR, 2020, 189
  • [44] Neurocognitive Effects of Ketamine in Individuals with Treatment-resistant Depression: A Randomized Controlled Trial
    Murrough, James
    Burdick, Katherine
    Perez, Andrew
    Brallier, Jess
    Chang, Lee
    Foulkes, Alexander
    Charney, Dennis
    Mathew, Sanjay
    Iosifescu, Dan
    NEUROPSYCHOPHARMACOLOGY, 2014, 39 : S391 - S391
  • [45] Regulation of Neural Responses to Emotion by Ketamine in Individuals with Treatment-resistant Major Depression
    Murrough, James
    Collins, Katherine
    Fields, Jessica
    Dewilde, Kaitlin
    Phillips, Mary
    Mathew, Sanjay
    Wong, Edmund
    Tang, Cheuk
    Charney, Dennis
    Iosifescu, Dan
    NEUROPSYCHOPHARMACOLOGY, 2014, 39 : S554 - S554
  • [46] Assessment of Neurocognitive Function in Individuals With Treatment-Resistant Depression Undergoing a Ketamine Trial
    Phillips, Jennifer
    Vasudev, Dominique
    Birmingham, Meagan
    Batten, Lisa A.
    Blier, Pierre
    BIOLOGICAL PSYCHIATRY, 2018, 83 (09) : S280 - S280
  • [47] Ketamine for Suicidal Behavior in Treatment-Resistant Depression: A Comparative Analysis of Antisuicidal and Antidepressant Effects
    Bandeira, Igor D.
    Tucciarone, Jason
    Kratter, Ian H.
    Heifets, Boris D.
    Schatzberg, Alan F.
    NEUROPSYCHOPHARMACOLOGY, 2024, 49 : 191 - 191
  • [48] Antidepressant Effect of Ketamine on Inflammation-Mediated Cytokine Dysregulation in Adults with Treatment-Resistant Depression: Rapid Systematic Review
    Sukhram, Shiryn D.
    Yilmaz, Grozdena
    Gu, Jianying
    OXIDATIVE MEDICINE AND CELLULAR LONGEVITY, 2022, 2022
  • [49] The cortisol awakening response in treatment-resistant depression is not a biomarker of the clinical response to ketamine
    Naughton, M.
    Allen, A. P.
    Clarke, G.
    Dowling, J.
    Walsh, A.
    Ismail, F.
    Shorten, G.
    Scott, L.
    Cryan, J. F.
    Dinan, T. G.
    EUROPEAN NEUROPSYCHOPHARMACOLOGY, 2014, 24 : S401 - S401
  • [50] Gene Expression and Molecular Pathways Associated With Rapid Antidepressant Response to Ketamine in Patients With Treatment Resistant Depression
    Bevilacqua, Laura
    Cathomas, Flurin
    Ramakrishnan, Aarthi
    Schneider, Molly
    Shen, Li
    Russo, Scott
    Murrough, James
    BIOLOGICAL PSYCHIATRY, 2020, 87 (09) : S176 - S177