Mood Disorder and Psychopharmacology Unit, University Health Network, Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada; Brain and Cognition Discovery Foundation, Toronto, Canada.
Mood Disorder and Psychopharmacology Unit, University Health Network, Toronto, Canada; Brain and Cognition Discovery Foundation, Toronto, Canada; Department of Pharmacology & Toxicology, University of Toronto, Toronto, Canada.
J Affect Disord. 2024 Jun 15;355:342-354. doi: 10.1016/j.jad.2024.03.165. Epub 2024 Apr 1.
Electrophysiologic measures provide an opportunity to inform mechanistic models and possibly biomarker prediction of response. Serotonergic psychedelics (SPs) (i.e., psilocybin, lysergic acid diethylamide (LSD)) and ketamine represent new investigational and established treatments in mood disorders respectively. There is a need to better characterize the mechanism of action of these agents.
We conducted a systematic review investigating the spectral signatures of psilocybin, LSD, and ketamine in persons with major depressive disorder (MDD), treatment-resistant depression (TRD), and healthy controls.
Ketamine and SPs are associated with increased theta power in persons with depression. Ketamine and SPs are also associated with decreased spectral power in the alpha, beta and delta bands in healthy controls and persons with depression. When administered with SPs, theta power was increased in persons with MDD when administered with SPs. Ketamine is associated with increased gamma band power in both healthy controls and persons with MDD.
The studies included in our review were heterogeneous in their patient population, exposure, dosing of treatment and devices used to evaluate EEG and MEG signatures. Our results were extracted entirely from persons who were either healthy volunteers or persons with MDD or TRD.
Extant literature evaluating EEG and MEG spectral signatures indicate that ketamine and SPs have reproducible effects in keeping with disease models of network connectivity. Future research vistas should evaluate whether observed spectral signatures can guide further discovery of therapeutics within the psychedelic and dissociative classes of agents, and its prediction capability in persons treated for depression.
电生理测量为机制模型提供了机会,并可能预测对反应的生物标志物。血清素能致幻剂(SPs)(例如,裸盖菇素、二乙基色胺(LSD))和氯胺酮分别代表心境障碍的新的研究性和已确立的治疗方法。需要更好地描述这些药物的作用机制。
我们进行了一项系统评价,研究了致幻蘑菇、LSD 和氯胺酮在重度抑郁症(MDD)、治疗抵抗性抑郁症(TRD)和健康对照者中的光谱特征。
氯胺酮和 SPs 与抑郁症患者的θ功率增加有关。氯胺酮和 SPs 也与健康对照者和抑郁症患者的α、β和δ频段的光谱功率降低有关。当与 SPs 一起给药时,MDD 患者的θ功率增加。氯胺酮与健康对照者和 MDD 患者的γ频段功率增加有关。
我们综述中包含的研究在其患者人群、暴露、治疗剂量和用于评估 EEG 和 MEG 特征的设备方面存在异质性。我们的结果完全是从健康志愿者或 MDD 或 TRD 患者中提取的。
评估 EEG 和 MEG 光谱特征的现有文献表明,氯胺酮和 SPs 具有可重复的作用,与网络连通性疾病模型一致。未来的研究应评估观察到的光谱特征是否可以指导在迷幻和分离类药物中进一步发现治疗方法,以及其在接受抑郁症治疗的人群中的预测能力。