CO RR EC TE D PR OO F Behavioural Brain Research xxx (xxxx) 114473 Contents lists available at ScienceDirect Behavioural Brain Research journal homepage: www.elsevier.com/locate/bbr Ketamine supresses REM sleep and markedly increases EEG gamma oscillations in the Wistar Kyoto rat model of treatment-resistant depression Sandor Kantor a, b, ⁎, Michael Lanigan a, c, Lauren Giggins a, Lisa Lione c, Lilia Magomedova b, Inés de Lannoy b, Neil Upton a, Mark Duxon a, b a Transpharmation Ltd, 2 Royal College Street, London NW1 0NH, United Kingdom b Transpharmation Canada, Fergus, ON N1M 2W8, Canada c University of Hertfordshire, College Lane, Hatfield, Herts AL10 9AD, United Kingdom A R T I C L E I N F O Keywords: Wistar–Kyoto rats Treatment-resistant depression NMDA receptor antagonist Ketamine REM sleep EEG gamma power A B S T R A C T Wistar–Kyoto (WKY) rats exhibit depression-like characteristics and decreased sensitivity to monoamine-based antidepressants, making them a suitable model of treatment-resistant depression (TRD). Ketamine has emerged recently as a rapidly acting antidepressant with high efficacy in TRD. Our aim was to determine whether sub- anaesthetic doses of ketamine can correct sleep and electroencephalogram (EEG) alterations in WKY rats and whether any ketamine-induced changes differentially affect WKY rats compared to Sprague-Dawley (SD) rats. Thus, we surgically implanted 8 SD and 8 WKY adult male rats with telemetry transmitters and recorded their EEG, electromyogram, and locomotor activity after vehicle or ketamine (3, 5 or 10 mg/kg, s.c.) treatment. We also monitored the plasma concentration of ketamine and its metabolites, norketamine and hydroxynorketamine in satellite animals. We found that WKY rats, have an increased amount of rapid eye movement (REM) sleep, fragmented sleep-wake pattern, and increased EEG delta power during non-REM sleep compared to SD rats. Keta- mine suppressed REM sleep and increased EEG gamma power during wakefulness in both strains, but the gamma increase was almost twice as large in WKY rats than in SD rats. Ketamine also increased beta oscillations, but only in WKY rats. These differences in sleep and EEG are unlikely to be caused by dissimilarities in ketamine metabo- lism as the plasma concentrations of ketamine and its metabolites were similar in both strains. Our data suggest an enhanced antidepressant-like response to ketamine in WKY rats, and further support the predictive validity of acute REM sleep suppression as a measure of antidepressant responsiveness. 1. Introduction Major depressive disorder (MDD) is a complex mental disorder char- acterised by changes in mood and cognition that affects approximately 21 million people in the United States alone [1]. Disrupted sleep is one of the most common early features of depression that often precedes the core symptoms of the disease, and it is often an early sign of relapse pre- ceding mood episode recurrences [2–4]. Still, sleep disturbances are of- ten viewed as associated symptoms of the diseases, assuming that they would resolve with the treatment of core symptoms. The available clini- cal evidence suggests, however, that sleep disturbances contribute to the disease process and their treatment improves the outcomes of de- pression [5,6]. About 50% of people diagnosed with MDD receive conventional monoamine-based antidepressant treatment, but around 30% of them do not show improvement in their symptoms despite trying multiple, structurally distinct antidepressants [7]. These patients constitute the so-called ‘Treatment Resistant Depression (TRD)’ population. The N- methyl-D-aspartate (NMDA)-receptor antagonist ketamine has emerged recently as a rapidly acting antidepressant with high efficacy in TRD [8–10]. Although the precise mechanism of action of ketamine remains elusive [11], a growing body of clinical evidence suggests glutamater- gic dysfunction in depression [12–14]. Endogenous animal models of TRD could provide a valuable tool for investigating novel therapeutics against TRD. One such promising model is the Wistar–Kyoto (WKY) rat, which shows depression-like neu- Abbreviations: EEG, electroencephalogram; EMG, electromyogram; MDD, major depressive disorder; NMDA, N-methyl-D-aspartate; TRD, treatment-resistant depression; LMA, locomotor activity; WKY, Wistar-Kyoto; SD, Sprague-Dawley; PRF, pontine reticular formation; LDT, laterodorsal tegmental; PPT, pedunculopontine tegmental; REM, rapid eye movement; NREM, non-REM; GABA, gamma aminobutyric acid; s.c, subcutaneous ⁎ Correspondence to: Transpharmation Ltd, The London Bioscience Innovation Centre, 2 Royal College Street, London NW1 0NH, United Kingdom. E-mail address: sandor.kantor@transpharmation.co.uk (S. Kantor). https://doi.org/10.1016/j.bbr.2023.114473 Received 9 November 2022; Received in revised form 10 March 2023; Accepted 20 March 2023 0166-4328/© 20XX Note: Low-resolution images were used to create this PDF. The original images will be used in the final composition. CO RR EC TE D PR OO F S. Kantor et al. Behavioural Brain Research xxx (xxxx) 114473 2 CO RR EC TE D PR OO F S. Kantor et al. Behavioural Brain Research xxx (xxxx) 114473 Fig. 1. Ketamine increased the amount of wakefulness and reduced REM sleep, but it had no effect on locomotor activity (LMA) in SD and WKY rats. The hourly amounts of wake (A, B), NREM sleep (C, D), REM sleep (E, F) and LMA (G, H) are shown in SD (A, C, E, G) and WKY (B, D, F, H) rats after treatment (arrow) with ket- amine (3, 5 and 10 mg/kg; s.c.) or its vehicle (0 mg/kg, s.c.). Data are presented as mean ± SEM. *P < 0.05 vs vehicle treatment (Dunnett post-test). ◀ rochemical and behavioural characteristics as well as decreased sensi- tivity to monoamine-based antidepressants [15–19]. Compared to other strains such as Wistar, Fisher 344, Lewis and Sprague-Dawley (SD), the WKY rats display increased stress responses and anhedonia, learned helplessness, and increased depressive-like behaviours, and they are less responsive to monoamine-based antidepressants in the forced swim test of depression [16,18–23]. WKY rats also display depression-like sleep abnormalities that are less affected by serotonergic or noradrener- gic antidepressants [24,25]. Alteration in glutamatergic signalling may also contribute to the depressive phenotype of WKY rats. Decreased NMDA receptor binding has been reported in WKY rats in brain regions also implicated in depression such as the prefrontal cortex, caudate putamen, nucleus accumbens and hippocampus [23,26,27]. The aim of the current study was to determine whether subanaes- thetic doses of the glutamatergic NMDA receptor antagonist ketamine can correct the sleep and electroencephalogram (EEG) alterations seen in a rodent model of TRD (WKY) and whether the ketamine-induced changes in sleep and EEG differentially affect WKY rats in comparison to SD rats. 2. Methods All experiments were conducted under the authority of United King- dom Animals (Scientific Procedures) Act 1986 and with the approval of Royal Veterinary Colleges’ Animal Welfare and Ethical Review Body and are in compliance with the ARRIVE guidelines. Adult male Sprague Dawley (SD; 200–250 g, Charles River, UK), and Wistar Kyoto (WKY; 200–250 g; Envigo, UK) rats were pair housed within their own strain with environmental enrichment and maintained on a standard 12 h light/dark cycle with food/water available ad libitum. 2.1. Surgery and EEG/EMG recordings After a minimum of 2 weeks of acclimatisation to environmental conditions, we implanted 8 SD and 8 WKY rats with telemetry transmit- ters, and with EEG and electromyogram (EMG) electrodes under isoflu- rane anaesthesia (2–5%). Specifically, we placed a telemetry transmit- ter (HD-S02; Data Sciences International, St. Paul, MN, USA) into the peritoneal cavity and the tip of EEG leads epidurally over the frontal (2 mm anterior / 1 mm lateral to Bregma) and parietal (0 mm anterior / 1.5 mm lateral to Lambda) cortices of the left hemisphere for fron- toparietal EEG recordings. EMG signals were acquired by a second pair of stainless-steel spring wires inserted into the neck extensor muscles. After a recovery period of 7–10 days, the rats were placed individu- ally in recording chambers in a sound-attenuated room with a 12:12 h light-dark cycle, constant temperature (21 ± 1 °C), with food and wa- ter available ad libitum, and EEG, EMG and locomotor activity (LMA) were recorded for 0.5 h before and 24 h after treatments. LMA was de- tected by an antenna (RPC-1, Data Sciences International, St. Paul, MN, USA) placed below the recording cages. EEG/EMG signals were ampli- fied, analogue filtered (implants’ frequency response: 0.5–100 Hz), dig- itized (500 Hz), and recorded alongside LMA on a computer for offline analysis (Spike2; CED, Cambridge, UK). 2.2. Drug treatment We treated both SD and WKY rats with 3 different doses of keta- mine [3, 5 and 10 mg/kg, subcutaneously (s.c.); Sigma-Aldrich, Gillingham, UK] or vehicle (0.9% saline; 2 ml/kg, s.c.) 3 h after light onset [Zeitgeber time 03:00 (ZT03)]. The different doses of ketamine and its vehicle were given to SD and WKY rats in a crossover design and in a randomized order, with 6–8 days between treatments. The doses were chosen based on the literature [28,29] and our pilot ex- periments (data not shown). In addition, we treated a satellite group of SD and WKY rats (n = 9 each) with ketamine (3, 5 and 10 mg/kg, s.c.) and collected blood sam- ples by venepuncture at 0.5, 1, 2 and 3 h post-treatment for pharmaco- kinetics profiling of ketamine an its major metabolites. 4 h after keta- mine treatment, the rats were euthanized by CO2 exsanguination and terminal blood samples were collected by cardiac puncture into K2EDTA tubes for plasma isolation. 2.3. Quantification of ketamine and its metabolites by LC-MS/MS Ketamine is metabolised to norketamine (NK), and norketamine is further metabolised to the hydroxynorketamine (HNK), and both metabolites are pharmacologically active [30]. Thus, alongside keta- mine we also measured the concertation of its metabolites, NK and HNK, in the plasma samples. We analysed the plasma samples on an AB Sciex API4000 QTRAP liquid chromatography/mass spectrometry (LC- MS/MS) system equipped with an ESI source in positive ion mode and coupled to an Agilent 1200 liquid chromatographic system. The chro- matographic separation was performed on an Aquasil C18 column (2.1 × 50 mm, 5 µm) at 25 °C using gradient elution with a 0.8 mL/ min flow rate. The mobile phases A and B were 10 mM ammonium ac- etate in water and acetonitrile, respectively. The multiple reaction mon- itoring (MRM) parameters for ketamine and its metabolites, NK and HNK, with their respective internal standards (IS, shown in brackets) were: ketamine m/z 238.1 →125.1 (ketamine-d4 IS m/z 242.1 →129.1), NK m/z 224.1→125.1 (NK-d4 IS m/z 228.1 →129.0) and HNK m/z 240.1→125.0 (fenoterol IS m/z 304.1 →107.1). The calibration dy- namic range was 0.2–5000 ng/mL for ketamine and 0.5–5000 ng/mL for NK and HNK. 2.4. Data analysis and statistics EEG and EMG signals were resampled at 256 Hz, digitally filtered (EEG: 0.5–100 Hz; EMG: 5–100 Hz), and semi-automatically scored as wake, rapid eye movement (REM) sleep or non-REM (NREM) sleep, in 10-s epochs using SleepSign (Kissei Comtec, Matsumoto, Japan). An ex- perienced scorer, blinded to treatment condition, visually inspected these preliminary scorings and made corrections when appropriate. We then measured the duration and number of bouts, and calculated the time spent in each behavioural state after treatment. To measure the propensity for NREM and REM sleep, we also calculated the latency to NREM and REM sleep onset for each rat. This was measured from the time of drug administration to the first six continuous 10 s epochs scored as NREM sleep or to the first three continuous 10 s epochs scored as REM sleep, respectively. To reveal the changes in the frequency content of the recorded sig- nal, we also performed a power spectral analysis of the EEG. EEG power spectra were computed for artifact-free 2-s epochs in the 0.5–100 Hz frequency range by fast Fourier transformation with a frequency resolu- tion of 0.5 Hz. Before fast Fourier transformation, a window weighting function (Hanning) was applied. Epochs with movement-induced and other artefacts were discarded on the basis of the polygraph records. The values of consecutive 2-s EEG epochs per vigilance states were av- eraged over 2 h after the treatments. To reveal the changes in specific frequency bands after the treatments, we compared the discrete changes in the delta (0.5–4 Hz), theta (4–10 Hz), sigma (10–15 Hz), beta (15–30 Hz) and gamma band (30–100 Hz) of the EEG during wakefulness and NREM sleep. Due to the limited number of REM sleep 3 CO RR EC TE D PR OO F S. Kantor et al. Behavioural Brain Research xxx (xxxx) 114473 Fig. 2. Ketamine suppressed the abnormally increased amount of REM sleep in WKY rats in a dose-dependent manner. Changes in the percentage of wakeful- ness (A), NREM sleep (B), REM sleep (C) and LMA (D) are shown in SD and WKY rats during the first 4 h after treatment with vehicle (0 mg/kg, s.c.) or ket- amine (3, 5 and 10 mg/kg; s.c.). Data are presented as mean ± SEM. *P < 0.05 vs vehicle treatment (Dunnett post-test); #P < 0.05 SD vs WKY of the same treatment (Sidak post-test). ◀ episodes available, no power spectral analysis was performed on REM sleep EEG during the 2 h post-treatment period. In addition to vigilance state specific analysis, we also calculated the spectral values in the gamma frequency band regardless of vigilance states 0.5 h before and 5 h after treatments. For graphical presentation, we normalized the gamma power values of ketamine (3, 5 and 10 mg/kg, s.c.) treatment to the values of vehicle treatment in the same animal (100%). To compare statistically the vigilance state parameters and raw EEG power spectral values, we used multivariate analysis of variance with repeated measures or mixed effects model where values were missing, and that was followed by Dunnett or Šidak tests for post hoc compar- isons (Prism 9.4; GraphPad, San Diego, CA USA). The results were con- sidered statistically significant at p < 0.05. All results were expressed as means ± SEM. 3. Results 3.1. Ketamine suppresses REM sleep in WKY rats At subanaesthetic doses, ketamine increased the time spent awake at the expense of NREM and REM sleep in both SD and WKY rats mainly within the first 4 h after the treatment [drug effects: F(2.21,15.48) = 8.69, p < 0.01 (Fig. 1A); F(2.15,15.06) = 11.11, p < 0.01 (Fig. 1B); F(2.25,15.75) = 5.99, p < 0.01 (Fig. 1C); F(2.35,16.48) = 6.17, p < 0.01 (Fig. 1D); F(2.22,15.51) = 9.130, p < 0.01 (Fig. 1E); F (1.76,12.31) = 7.68, p < 0.01 (Fig. 1F)]. Although the amounts of wakefulness and NREM sleep were similar in SD and WKY rats after vehicle treatment (Fig. 2A and B), WKY rats had 41% more REM sleep than SD rats early in the light pe- riod (ZT03–07), which is the passive phase in the rats [strain effect: F(1,14) = 13.38, p < 0.01 (Fig. 2C)]. In addition, WKY rats had a frag- mented sleep-wake pattern that was shown by the shorter and in- creased number of NREM sleep bouts (−35% and +47%, respectively) and by the increased number of wake bouts (+67%) compared to SD rats [strain effect: F(1,14) = 39.42, p < 0.01; F(1,14) = 89.14, p < 0.01; and F(1,14) = 85.60, p < 0.01, respectively (Table 1)]. Acute treatment with subanaesthetic doses of ketamine decreased the amount of REM sleep in both SD and WKY rats in a dose-dependent manner [drug effect: F(3,42) = 18.89, p < 0.01 (Fig. 2C)]. Ketamine re- duced the amount of REM sleep by supressing its initiation, as shown by the dose-dependent increase in the latency to REM sleep onset, and by the decrease in REM sleep bout numbers in both SD and WKY rats [drug effects: F(3,42) = 34.23, p < 0.01 (Fig. 3B) and F(3,42) = 23.21, p < 0.01 (Table 1), respectively]. Besides supressing REM sleep, keta- mine also increased the time spent awake and reduced the amount of NREM sleep in a dose-dependent manner during the first 4 h after the treatment in both SD and WKY rats [drug effects: F(3,45) = 18.33, p < 0.01 and F(3,42) = 10.18, p < 0.01, respectively (Fig. 2A and B)]. Ke- tamine supressed the initiation of NREM sleep, as shown by the dose- dependent decrease in the number of NREM sleep bouts in both SD and WKY rats [drug effect: F(3,42) = 20.44, p < 0.01 (Table 1)]. In WKY rats, ketamine also increased the latency to NREM sleep onset [drug ef- fects: F(3,42) = 5.89, p < 0.01 (Fig. 3A)]. Interestingly in SD rats, keta- mine (10 mg/kg, s.c.) not only decreased the number of wake, NREM and REM sleep bouts, but it also increased their mean duration produc- ing a more consolidated sleep-wake pattern [drug effects: F(3,42) = 11.35, p < 0.01; F(3,42) = 8.80, p < 0.01 and F(3,42) = 3.87, p < 0.05, respectively (Table 1)]. In contrast, the fragmented sleep-wake behaviour seen in WKY rats improved only partially after ketamine treatment as ketamine decreased the number of NREM and REM sleep bouts, but it had no effect on their durations [drug effects: F(3,42) = 20.44, p < 0.01 and F(3,42) = 23.21, p < 0.01, respectively (Table 1)]. 4 CO RR EC TE D PR OO F S. Kantor et al. Behavioural Brain Research xxx (xxxx) 114473 Table 1 Vigilance state parameters in SD and WKY rats after vehicle or ketamine treatment. Strain SD WKY Dose Vehicle 3 mg/kg 5 mg/kg 10 mg/kg Vehicle 3 mg/kg 5 mg/kg 10 mg/kg Mean bout duration (min) WAKE 13.4 ± 2.8 14.9 ± 1.1 21.9 ± 2.4 39.4 ± 8.0a 6.7 ± 0.6 7.7 ± 0.7 9.3 ± 0.9b 13.8 ± 1.3b NREM sleep 20.2 ± 1.3 19.3 ± 1.2 23.7 ± 2.3 29.5 ± 2.8a 13.1 ± 1.0b 12.5 ± 0.8b 15.0 ± 1.1b 14.9 ± 0.9b REM sleep 7.6 ± 0.3 7.9 ± 0.6 8.6 ± 0.7 10.4 ± 1.0a 9.7 ± 0.7 9.5 ± 0.4 10.9 ± 0.3 9.7 ± 0.8 Number of bouts WAKE 33.1 ± 2.6 34.6 ± 2.4 27.1 ± 1.4 20.6 ± 3.0a 55.4 ± 3.6b 59.4 ± 5.7b 50.3 ± 3.3b 44.9 ± 2.6b NREM sleep 45.3 ± 2.9 43.3 ± 2.6 32.8 ± 1.7a 25.4 ± 2.8a 66.4 ± 3.2b 68.4 ± 3.8b 56.3 ± 3.6a,b 50.3 ± 2.8a,b REM sleep 19.0 ± 1.8 15.0 ± 1.3 11.3 ± 0.6a 7.5 ± 0.8a 21.1 ± 1.6 17.8 ± 1.8 14.1 ± 1.5a 11.4 ± 1.4a Mean duration and number of bouts in each state during the first 4 h after vehicle or ketamine treatment. Results are shown as mean ± SEM. aP < 0.05 compared to vehicle (Veh) treatment of the same strain. bP < 0.05 SD vs WKY of the same treatment (Dunnett post-test). Fig. 3. Treatment with ketamine produced a dose-dependent increase in REM sleep latency in both SD and WKY rats. Changes in latencies to NREM (A) and REM (B) sleep onset are shown in SD and WKY rats after treatment with vehi- cle (0 mg/kg, s.c.) or ketamine (3, 5 and 10 mg/kg; s.c.). Data are presented as mean ± SEM. *P < 0.05 vs vehicle treatment (Dunnett post-test). Although ketamine may induce robust behavioural changes in ro- dents especially at higher doses [31], it did not alter LMA in either SD or WKY rats in this study at the doses tested (Figs. 1G and H, and 2D). 3.2. Eminent increase in EEG gamma oscillations in WKY rats after ketamine treatment Since ketamine virtually abolished REM sleep in both SD and WKY rats for about two hours post- treatment in our study (Fig. 1E and F), we analysed the changes in EEG power spectra only during wakefulness and NREM sleep. Apart from the increased delta oscillations in WKY rats during NREM sleep [strain effect: F(1,14) = 13.12, p < 0.01 (Fig. 4B)], there were no other differences in EEG power spectra between the two strains. Ketamine, however, differentially affected the EEG oscilla- tions in SD and WKY rats (Figs. 4 and 5). While ketamine had no effect on EEG theta power in any of the strains during wakefulness (Fig. 4 A), it approximately doubled the wake-EEG gamma power in SD rats (+110%), and it more than tripled it in WKY rats (+244%) within the first two hours post-treatment [drug x strain interaction: F(3,42) = 7.53, p < 0.01 (Fig. 4E)]. In addition, ketamine also increased beta power in the wake-EEG of WKY rats, but not of SD rats [drug effect: F(3,42) = 5.822, p < 0.01 (Fig. 4 C)]. Ketamine’s effect on EEG power spectra was not only strain, but also vigilance state specific. While ketamine in- creased gamma and supressed sigma power in SD rats during NREM sleep, it had no effect on EEG oscillations in WKY rats, leaving the in- creased delta power in WKY rats largely unaffected during NREM sleep [drug effects: F(3,42) = 3.34, p < 0.05 and F(3,42) = 9.93, p < 0.01, re- spectively (Fig. 4B, D and F)]. To examine whether the strain specific differences in the ketamine- induced gamma power increase are due to a delayed response in SD rats compared to WKY rats, we also analysed the time course of changes in this frequency band before and after the treatment and irrespective of vigilance states. We found that the maximum increase in EEG gamma power occurred within the 1st h, and extended into the 2nd h post- treatment in both SD and WKY rats, suggesting a similar pharmacoki- netics profile of ketamine in the both WKY and SD strains [drug x time interactions: F(1.34,9.37) = 12.69, p < 0.01 and F(1.151,8.055) = 29.53, p < 0.01, respectively (Fig. 5A and B)]. 3.3. The plasma concentrations of ketamine and its metabolites were generally similar in both SD and WKY rats after treatment To determine whether there are strain-specific differences in keta- mine metabolism, we measured the plasma concentrations of ketamine and its major metabolites, NK and HNK, during the first 4 h post- treatment (Fig. 6). The plasma concentrations of ketamine were similar between SD and WKY rats after all three (3, 5 and 10 mg/kg, s.c.) doses of the drug and at any measured time points (Fig. 6A-B). Compared to SD rats, the plasma level of NK increased transiently in WKY rats 0.5 h after treatment with 5 mg/kg (s.c.) ketamine [time x strain interaction: F(4,14) = 19.58, p < 0.01 (Fig. 6E)]. WKY rats also had a higher plasma level of HNK than SD rats 4 h after treatment with the highest (10 mg/ kg, s.c.) dose of ketamine [strain effect: F(1, 4) = 8.691, p < 0.05 (Fig. 6I)], but the plasma levels of both NK and HNK were similar in both strains at any other measured time points. 4. Discussion We found that the amount of REM sleep is increased in WKY rats compared to SD rats. WKY rats also have a fragmented sleep-wake pat- tern and increased delta oscillations during NREM sleep. Subanaes- thetic doses of the glutamatergic NMDA receptor antagonist ketamine decreased the amount of REM sleep in both WKY and SD rats, primarily 5 CO RR EC TE D PR OO F S. Kantor et al. Behavioural Brain Research xxx (xxxx) 114473 Fig. 4. Ketamine increased high frequency (beta and gamma) EEG oscillations in WKY rats during wakefulness. Changes in wake-EEG theta (A), beta (C) and gamma power (E) as well as in NREM sleep-EEG delta (B), sigma (D) and gamma power (F) are shown in SD and WKY rats during the first 2 h after treatment with vehicle (0 mg/kg, s.c.) or ketamine (3, 5 and 10 mg/kg; s.c.). Data are presented as mean ± SEM. *P < 0.05 vs vehicle treatment (Dunnett post-test); #P < 0.05 SD vs WKY of the same treatment (Šidák post-test). by supressing its initiation. This was shown by an increase in the la- tency to REM sleep onset, and a decrease in the number of REM sleep bouts after ketamine treatment. Ketamine also increased the time spent awake and EEG gamma power during wakefulness in both SD and WKY rats, but it had no effect on LMA. More importantly, the ketamine- induced increase in EEG gamma power was almost twice as high in WKY rats as in SD rats despite of the generally similar plasma levels of ketamine and its metabolites, NK and NHK, in both strains. Alterations in REM sleep, including shortened REM sleep latency and increased REM sleep amount, are among the most consistent find- ings in depression [32,33]. Total sleep deprivation as well as selective REM sleep deprivation rapidly alleviate the symptoms of depression [34,35]. Furthermore, most antidepressants that are structurally and pharmacologically different, suppress REM sleep in both healthy volun- teers and depressed patients early in the treatment, which effect gradu- ally diminishes after repeated administration of the drug [32]. There- fore, it has been proposed that acute REM sleep suppression may pre- dict the therapeutic efficacy of antidepressant drugs [36–40]. In this study, WKY rats showed an increased amount of baseline REM sleep compared to SD rats. A similarly increased amount of REM sleep has been shown in WKY rats compared to SD and Wistar rats previously [24,25]. Acute treatment with antidepressants (including ketamine) in- hibits REM sleep in both SD and Wistar rats as we have shown here and others demonstrated previously [25,41,42]. Similarly, ketamine re- duces the amount of REM sleep in patients with severe burns but inter- estingly, increases it in MDD patients [43,44]. In contrast to SD or Wis- tar rats, WKY rats are less sensitive to the suppression of REM sleep by serotonin reuptake inhibitors or tricyclic antidepressants [25,41]. Sub- anaesthetic doses of ketamine, however, effectively supressed REM sleep in WKY rats during the first 3–4 h post-treatment in this study that may indicate antidepressant-like properties of the drug in a rodent model of TRD. Indeed, ketamine’s antidepressant-like effect has been demonstrated in the forced swim test, learned helplessness and sucrose preference test in WKY rats previously [28,29,45]. Therefore, these data together with our results further support the predictive validity of 6 CO RR EC TE D PR OO F S. Kantor et al. Behavioural Brain Research xxx (xxxx) 114473 Fig. 5. The ketamine-induced increase in EEG gamma power is nearly twice as high in WKY rats than in SD rats. The time course of changes in EEG gamma power are shown in SD (A) and WKY rats (B) during the first 5 h after treatment with vehicle (0 mg/kg, s.c.) or ketamine (3, 5 and 10 mg/kg; s.c.). Data are presented as mean ± SEM. *P < 0.05 vs vehicle treatment (Dunnett post-test). Fig. 6. The pharmacokinetics profile of ketamine and its metabolites is similar between SD and WKY rats. The time course of changes in the plasma concen- tration of ketamine (A, B, C), norketamine (NK; D, E, F) and hydroxynorketamine (HNK; G, H, I) are shown in SD (solid line) and WKY (dotted line) rats af- ter treatment with ketamine (3, 5 and 10 mg/kg; s.c.). Data are presented as mean ± SEM. *P < 0.05 SD vs WKY of the same treatment (Šidák post-test). acute REM sleep suppression as an index of antidepressant-like efficacy in TRD. Although the precise mechanism through which subanaesthetic doses of ketamine suppresses REM sleep is not known, most likely this is achieved by acting on NMDA receptors expressed in neurons of the brain stem. It is well established that REM sleep is generated in the brain stem by the interaction between the glutamatergic neurons of pontine reticular formation (PRF) and cholinergic neurons of laterodor- sal/pedunculopontine tegmental (LDT/PPT) nuclei [46]. Injection of muscarinic receptor agonists into PRF induces REM sleep [47]. Simi- larly, low doses of glutamate injected into PPT increase REM sleep, but high doses of it increase wakefulness presumably through different mechanisms [48,49]. Furthermore, systemic administration of keta- mine reduces acetylcholine release in the PRF [50]. Therefore, it seems most likely that the subanaesthetic doses of ketamine supressed REM sleep in this study by indirectly reducing the cholinergic tone in the PRF. Both clinical and pre-clinical studies have demonstrated that acute treatment with subanaesthetic doses of ketamine and with its metabo- lite, HNK, induces robust increase in EEG gamma power and rapid anti- depressant effects in TRD, but the potential causal relationship between the two has not been fully explored yet [51–56]. Although the acute in- crease in gamma oscillations is primarily linked to the transient disso- ciative and psychotomimetic effects of ketamine [57,58], the gamma increase is also viewed as a potential marker of synaptic potentiation and neural network adaptation, which are necessary to develop the sus- tained antidepressant effects of ketamine [59,60]. Gamma oscillations are primarily generated by networks of glutamatergic and gamma 7 CO RR EC TE D PR OO F S. Kantor et al. Behavioural Brain Research xxx (xxxx) 114473 aminobutyric acid (GABA)-ergic interneurons of the cortex and con- trolled by cortically projecting GABA-ergic neurons of the basal fore- brain [61]. Numerous studies found alterations in gamma oscillations in both MDD and bipolar disorder [62–69]. Although the functional sig- nificance of gamma power increase in the antidepressant effect of keta- mine is unknown, depressed patients with lower baseline gamma power levels have better antidepressant responses if they also have a large in- crease in gamma power after ketamine treatment [62]. WKY rats show reduced EEG gamma power at REM sleep transitions and decreased gamma coherence between brain regions implicated in depression that is normalized by ketamine [63,64]. In our study, the baseline EEG gamma power was similar in SD and WKY rats during wakefulness and NREM sleep. However, the ketamine-induced increase in EEG gamma power was almost twice as high in WKY rats as in SD rats. Since the plasma concentrations of ketamine and its metabolites were similar be- tween both strains, it is unlikely that the eminent increase in EEG gamma oscillations is due to altered ketamine metabolism in WKY rats. Thus, we hypothesize that the larger increases in gamma power could indicate an enhanced antidepressant-like response to ketamine in the WKY strain. Subanaesthetic doses of ketamine reduce the symptoms of depres- sion within hours after the treatment, and the antidepressant effects may last three to seven days in TRD patients [8–10]. This acute anti- depressant effect of ketamine, however, can be extended for up to 6 weeks with repeat doses [73–75]. Given its short half-life (~45 min), ketamine’s sustained antidepressant efficacy, however, cannot simply be attributed to the acute changes induced by the drug. A growing body of evidence suggests that the sustained antidepressant effects of ketamine are achieved by reversing the glutamatergic and GABAergic dysfunction found in patients with depression [10,12–14]. It has been suggested that ketamine increases glutamate neurotransmission in the prefrontal cortex by blocking the NMDA receptors on GABAergic neurons, which leads to increased synaptic plasticity through down- stream molecular cascades and long-term changes in neural circuits [76,77]. Apart from REM sleep alterations, depressed patients also have frequent nocturnal awakenings resulting in fragmentated sleep and poor sleep efficiency [78]. In our study, WKY rats had fragmented NREM sleep as shown by the shorter and increased number of NREM sleep bouts compared to SD rats. WKY rats also had increased EEG delta power during NREM sleep compared to SD rats that could re- flect an increased propensity for sleep resulting from frequent awak- enings [79]. However, apart from decreasing the number of NREM sleep bouts, ketamine had no effect on either EEG delta power or NREM sleep bout duration in WKY rats, suggesting that ketamine and its analogues may not address all aspects of disordered sleep in de- pression, and that additional treatment may be required. This is par- ticularly important as untreated sleep disturbances are seen as risk factors for developing depression or relapse [80]. 5. Conclusions We show for the first time that the increased amount of REM sleep in WKY rats is supressed by subanaesthetic doses of ketamine, and this could be an indicative of antidepressant-like efficacy of the drug in TRD. Although ketamine efficiently supresses REM sleep, it can only partially correct the fragmented NREM sleep seen in WKY rats suggest- ing that an adjuvant therapy may be required to address all aspects of the disrupted sleep seen in depression. Furthermore, we show that sub- anaesthetic doses of ketamine induce a more robust increase in EEG gamma power in WKY rats than in SD rats that is unlikely to be caused by strain-specific differences in ketamine metabolism. This eminent in- crease in EEG gamma oscillations may suggest an enhanced antidepres- sant response to ketamine in WKY rats. Thus, the ketamine-induced changes in sleep and EEG in WKY rats shown here may serve as key translational tools in an effort to discover novel therapeutics against TRD. Funding ML is a PhD student of the Hertfordshire Knowledge Exchange Programme supported by the Hertfordshire Local Enterprise Partner- ship, European Regional Development Fund and Transpharmation Ltd. Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influ- ence the work reported in this paper. Data Availability Data will be made available on request. Acknowledgements We would like to extend our sincere thanks to Dr Guy Higgins for his valuable advice, guidance and practical suggestions. We also thank Ju- lia Izhakova for her technical assistance. References [1] National Institute of Mental Health, Major Depression, (2022) 1–1. https:// www.nimh.nih.gov/health/statistics/major-depression (accessed July 26, 2022). [2] C. Zangani, C. Casetta, A.S. Saunders, F. Donati, E. Maggioni, A. D’Agostino, Sleep abnormalities across different clinical stages of Bipolar Disorder: a review of EEG studies, Neurosci. Biobehav Rev. 118 (2020) 247–257, https://doi.org/ 10.1016/j.neubiorev.2020.07.031. [3] I. Jaussent, J. Bouyer, M.L. Ancelin, T. Akbaraly, K. Pérès, K. Ritchie, A. Besset, Y. Dauvilliers, Insomnia and daytime sleepiness are risk factors for depressive symptoms in the elderly, Sleep 34 (2011) 1103–1110, https://doi.org/10.5665/ SLEEP.1170. [4] C.J. Lauer, W. Schreiber, F. Holsboer, J.C. Krieg, In quest of identifying vulnerability markers for psychiatric disorders by all-night polysomnography, Arch. Gen. Psychiatry 52 (1995) 145–153, https://doi.org/10.1001/ archpsyc.1995.03950140063009. [5] W.V. McCall, J.N. Blocker, R. D’Agostino, J. Kimball, N. Boggs, B. Lasater, R. Haskett, A. Krystal, W.M. McDonald, P.B. Rosenquist, Treatment of insomnia in depressed insomniacs: effects on health-related quality of life, objective and self- reported sleep, and depression, J. Clin. Sleep. Med 6 (2010) 322–329, https:// doi.org/10.5664/jcsm.27872. [6] R. Manber, J.D. Edinger, J.L. Gress, M.G. San Pedro-Salcedo, T.F. Kuo, T. Kalista, Cognitive behavioral therapy for insomnia enhances depression outcome in patients with comorbid major depressive disorder and insomnia, Sleep 31 (2008) 489–495, https://doi.org/10.1093/sleep/31.4.489. [7] M. Zhdanava, D. Pilon, I. Ghelerter, W. Chow, K. Joshi, P. Lefebvre, J.J. Sheehan, The prevalence and national burden of treatment-resistant depression and major depressive disorder in the United States, J. Clin. Psychiatry 82 (2021) 20m13699, https://doi.org/10.4088/JCP.20m13699. [8] S. Bratsos, S.N. Saleh, Clinical efficacy of ketamine for treatment-resistant depression, Cureus 11 (2019) e5189, https://doi.org/10.7759/cureus.5189. [9] R.S. McIntyre, J.D. Rosenblat, C.B. Nemeroff, G. Sanacora, J.W. Murrough, M. Berk, E. Brietzke, S. Dodd, P. Gorwood, R. Ho, D. v Iosifescu, C.L. Jaramillo, S. Kasper, K. Kratiuk, J.G. Lee, Y. Lee, L.M.W. Lui, R.B. Mansur, G.I. Papakostas, M. Subramaniapillai, M. Thase, E. Vieta, A.H. Young, C.A. Zarate, S. Stahl, Synthesizing the evidence for ketamine and esketamine in treatment-resistant depression: an international expert opinion on the available evidence and implementation, Am. J. Psychiatry 178 (2021) 383–399, https://doi.org/10.1176/ appi.ajp.2020.20081251. [10] M. Yavi, H. Lee, I.D. Henter, L.T. Park, C.A. Zarate, Ketamine treatment for depression: a review, Discov. Ment. Health 2 (2022) 9, https://doi.org/10.1007/ s44192-022-00012-3. [11] A.F. Schatzberg, A word to the wise about ketamine, Am. J. Psychiatry 171 (2014) 262–264, https://doi.org/10.1176/appi.ajp.2014.13101434. [12] M. Beneyto, J.H. Meador-Woodruff, Lamina-specific abnormalities of NMDA receptor-associated postsynaptic protein transcripts in the prefrontal cortex in schizophrenia and bipolar disorder, Neuropsychopharmacology 33 (2008) 2175–2186, https://doi.org/10.1038/sj.npp.1301604. [13] A.M. Feyissa, A. Zyga, C.A. Stockmeier, B. Karolewicz, Reduced levels of NR2A 8 CO RR EC TE D PR OO F S. Kantor et al. Behavioural Brain Research xxx (xxxx) 114473 and NR2B subunits of NMDA receptor and PSD-95 in the prefrontal cortex in major depression, Prog. Neuropsychopharmacol. Biol. Psychiatry 33 (2009) 70–75, https://doi.org/10.1016/j.pnpbp. [14] G. Nowak, G.A. Ordway, I.A. Paul, Alterations in the N-methyl-D-aspartate (NMDA) receptor complex in the frontal cortex of suicide victims, Brain Res 675 (1995) 157–164, https://doi.org/10.1016/0006-8993(95)00057-w. [15] M. Yamada, Y. Kawahara, F. Kaneko, Y. Kishikawa, N. Sotogaku, W.J. Poppinga, H.A. Folgering, E. Dremencov, H. Kawahara, A. Nishi, Upregulation of the dorsal raphe nucleus-prefrontal cortex serotonin system by chronic treatment with escitalopram in hyposerotonergic Wistar-Kyoto rats, Neuropharmacology 72 (2013) 169–178, https://doi.org/10.1016/J.NEUROPHARM.2013.04.044. [16] A. Lahmame, C. del Arco, A. Pazos, M. Yritia, A. Armario, Are Wistar-Kyoto rats a genetic animal model of depression resistant to antidepressants, Eur. J. Pharm. 337 (1997) 115–123, https://doi.org/10.1016/S0014-2999(97)01276-4. [17] C. Bruzos-Cidón, N. Llamosas, L. Ugedo, M. Torrecilla, Dysfunctional inhibitory mechanisms in locus coeruleus neurons of the Wistar Kyoto rat, Int. J. Neuropsychopharmacol. 18 (2015) 1–11, https://doi.org/10.1093/ijnp/pyu122. [18] C.C. Will, F. Aird, E.E. Redei, Selectively bred Wistar-Kyoto rats: an animal model of depression and hyper-responsiveness to antidepressants, Mol. Psychiatry 8 (2003) 925–932, https://doi.org/10.1038/sj.mp.4001345. [19] C. López-Rubalcava, I. Lucki, Strain differences in the behavioral effects of antidepressant drugs in the rat forced swimming test, Neuropsychopharmacology 22 (2000) 191–199, https://doi.org/10.1016/S0893-133X(99)00100-1. [20] W.P. Paré, S.M. Tejani-Butt, Effect of stress on the behavior and 5-HT system in Sprague-Dawley and Wistar Kyoto rat strains, Integr. Physiol. Behav. Sci. 31 (1996) 112–121, https://doi.org/10.1007/BF02699783. [21] H. Nam, S.M. Clinton, N.L. Jackson, I.A. Kerman, Learned helplessness and social avoidance in the Wistar-Kyoto rat, Front Behav. Neurosci. 8 (2014) 109, https:// doi.org/10.3389/fnbeh.2014.00109. [22] P.A. Rittenhouse, C. López-Rubalcava, G.D. Stanwood, I. Lucki, Amplified behavioral and endocrine responses to forced swim stress in the Wistar-Kyoto rat, Psychoneuroendocrinology 27 (2002) 303–318, https://doi.org/10.1016/s0306- 4530(01)00052-x. [23] S.J. Millard, J.S. Lum, F. Fernandez, K. Weston-Green, K.A. Newell, Perinatal exposure to fluoxetine increases anxiety- and depressive-like behaviours and alters glutamatergic markers in the prefrontal cortex and hippocampus of male adolescent rats: A comparison between Sprague-Dawley rats and the Wistar-Kyoto rat model of depression, J. Psychopharmacol. 33 (2019) 230–243, https://doi.org/ 10.1177/0269881118822141. [24] C. Dugovic, L.C. Solberg, E. Redei, O. van Reeth, F.W. Turek, Sleep in the Wistar- Kyoto rat, a putative genetic animal model for depression, Neuroreport 11 (2000) 627–631, https://doi.org/10.1097/00001756-200002280-00038. [25] M. Ivarsson, L.M. Paterson, P.H. Hutson, Antidepressants and REM sleep in Wistar-Kyoto and Sprague-Dawley rats, Eur. J. Pharm. 522 (2005) 63–71, https:// doi.org/10.1016/j.ejphar.2005.08.050. [26] Y. Lei, S.M. Tejani-Butt, N-methyl-d-aspartic acid receptors are altered by stress and alcohol in Wistar-Kyoto rat brain, Neuroscience 169 (2010) 125–131, https:// doi.org/10.1016/j.neuroscience.2010.05.003. [27] Y. Lei, I. Yaroslavsky, S.M. Tejani-Butt, Strain differences in the distribution of N- methyl-d-aspartate and gamma (γ)-aminobutyric acid-A receptors in rat brain, Life Sci. 85 (2009) 794–799, https://doi.org/10.1016/j.lfs.2009.10.010. [28] Y. Tizabi, B.H. Bhatti, K.F. Manaye, J.R. Das, L. Akinfiresoye, Antidepressant-like effects of low ketamine dose is associated with increased hippocampal AMPA/ NMDA receptor density ratio in female Wistar-Kyoto rats, Neuroscience 213 (2012) 72–80, https://doi.org/10.1016/j.neuroscience.2012.03.052. [29] P. Belujon, A.A. Grace, Restoring mood balance in depression: Ketamine reverses deficit in dopamine-dependent synaptic plasticity, Biol. Psychiatry 76 (2014) 927–936, https://doi.org/10.1016/j.biopsych.2014.04.014. [30] P. Zanos, R. Moaddel, P.J. Morris, L.M. Riggs, J.N. Highland, P. Georgiou, E.F.R. Pereira, E.X. Albuquerque, C.J. Thomas, C.A. Zarate, T.D. Gould, Ketamine and ketamine metabolite pharmacology: insights into therapeutic mechanisms, Pharm. Rev. 70 (2018) 621–660, https://doi.org/10.1124/PR.117.015198. [31] A. Becker, B. Peters, H. Schroeder, T. Mann, G. Huether, G. Grecksch, Ketamine- induced changes in rat behaviour: a possible animal model of schizophrenia, Prog. Neuropsychopharmacol. Biol. Psychiatry 27 (2003) 687–700, https://doi.org/ 10.1016/S0278-5846(03)00080-0. [32] S. Wilson, S. Argyropoulos, Antidepressants and sleep: a qualitative review of the literature, Drugs 65 (2005) 927–947, https://doi.org/10.2165/00003495- 200565070-00003. [33] L. Palagini, C. Baglioni, A. Ciapparelli, A. Gemignani, D. Riemann, REM sleep dysregulation in depression: State of the art, Sleep. Med Rev. 17 (2013) 377–390, https://doi.org/10.1016/j.smrv.2012.11.001. [34] D.J. Hines, L.I. Schmitt, R.M. Hines, S.J. Moss, P.G. Haydon, Antidepressant effects of sleep deprivation require astrocyte-dependent adenosine mediated signaling, Transl. Psychiatry 3 (2013) e212, https://doi.org/10.1038/tp.2012.136. [35] G.W. Vogel, F. Vogel, R.S. McAbee, A.J. Thurmond, Improvement of depression by REM sleep deprivation: new findings and a theory, Arch. Gen. Psychiatry 37 (1980) 247–253, https://doi.org/10.1001/archpsyc.1980.01780160017001. [36] G.W. Vogel, A. Buffenstein, K. Minter, A. Hennessey, Drug effects on REM sleep and on endogenous depression, Neurosci. Biobehav Rev. 14 (1990) 49–63, https:// doi.org/10.1016/s0149-7634(05)80159-9. [37] O. le Bon, Contribution of sleep research to the development of new antidepressants, Dialog-. Clin. Neurosci. 7 (2005) 305–313, https://doi.org/ 10.31887/dcns.2005.7.4/olebon. [38] D.J. Kupfer, F.G. Foster, L. Reich, S.K. Thompson, B. Weiss, EEG sleep changes as predictors in depression, Am. J. Psychiatry 133 (1976) 622–626, https://doi.org/ 10.1176/ajp.133.6.622. [39] J.C. Gillin, R.J. Wyatt, D. Fram, F. Snyder, The relationship between changes in REM sleep and clinical improvement in depressed patients treated with amitriptyline, Psychopharmacol. (Berl. ) 59 (1978) 267–272, https://doi.org/ 10.1007/BF00426633. [40] D.J. Kupfer, D.G. Spiker, P.A. Coble, J.F. Neil, R. Ulrich, D.H. Shaw, Sleep and treatment prediction in endogenous depression, Am. J. Psychiatry 138 (1981) 429–434, https://doi.org/10.1176/ajp.138.4.429. [41] A. McCarthy, K. Wafford, E. Shanks, M. Ligocki, D.M. Edgar, D.J. Dijk, REM sleep homeostasis in the absence of REM sleep: effects of antidepressants, Neuropharmacology 108 (2016) 415–425, https://doi.org/10.1016/ J.NEUROPHARM.2016.04.047. [42] A. Ahnaou, H. Huysmans, R. Biermans, N. v Manyakov, W.H.I.M. Drinkenburg, Ketamine: differential neurophysiological dynamics in functional networks in the rat brain, Transl. Psychiatry 7 (2017), https://doi.org/10.1038/TP.2017.198. [43] W.C. Duncan, S. Sarasso, F. Ferrarelli, J. Selter, B.A. Riedner, N.S. Hejazi, P. Yuan, N. Brutsche, H.K. Manji, G. Tononi, C.A. Zarate, Concomitant BDNF and sleep slow wave changes indicate ketamine-induced plasticity in major depressive disorder, Int J. Neuropsychopharmacol. 16 (2013) 301–311, https://doi.org/ 10.1017/S1461145712000545. [44] M.M. Gottschlich, T. Mayes, J. Khoury, J. McCall, N. Simakajornboon, R.J. Kagan, The effect of ketamine administration on nocturnal sleep architecture, J. Burn Care Res 32 (2011) 535–540, https://doi.org/10.1097/ BCR.0B013E31822AC7D1. [45] L. Akinfiresoye, Y. Tizabi, Antidepressant effects of AMPA and ketamine combination: Role of hippocampal BDNF, synapsin, and mTOR, Psychopharmacol. (Berl. ) 230 (2013) 291–298, https://doi.org/10.1007/s00213-013-3153-2. [46] R.E. Brown, R. Basheer, J.T. McKenna, R.E. Strecker, R.W. McCarley, Control of sleep and wakefulness, Physiol. Rev. 92 (2012) 1087–1187, https://doi.org/ 10.1152/physrev.00032.2011. [47] G.A. Marks, C.G. Birabil, Carbachol induction of REM sleep in the rat is more effective at lights-out than lights-on, Brain Res 1142 (2007) 127–134, https:// doi.org/10.1016/j.brainres.2007.01.048. [48] S. Datta, D.F. Siwek, Excitation of the brain stem pedunculopontine tegmentum cholinergic cells induces wakefulness and REM sleep, J. Neurophysiol. 77 (1997) 2975–2988, https://doi.org/10.1152/jn.1997.77.6.2975. [49] S. Datta, E.H. Patterson, E.E. Spoley, Excitation of the pedunculopontine tegmental NMDA receptors induces wakefulness and cortical activation in the rat, J. Neurosci. Res 66 (2001) 109–116, https://doi.org/10.1002/JNR.1202. [50] R. Lydic, H.A. Baghdoyan, Ketamine and MK-801 decrease acetylcholine release in the pontine reticular formation, Slow. Breath., Disrupt. Sleep., Sleep. 25 (2002) 615–620,. https://doi.org/10.1093/sleep/25.6.615. [51] J.B. Singh, M. Fedgchin, E.J. Daly, P. de Boer, K. Cooper, P. Lim, C. Pinter, J.W. Murrough, G. Sanacora, R.C. Shelton, B. Kurian, A. Winokur, M. Fava, H. Manji, W.C. Drevets, L. van Nueten, A double-blind, randomized, placebo-controlled, dose-frequency study of intravenous ketamine in patients with treatment-resistant depression, Am. J. Psychiatry 173 (2016) 816–826, https://doi.org/10.1176/ appi.ajp.2016.16010037. [52] C.A. Zarate, J.B. Singh, P.J. Carlson, N.E. Brutsche, R. Ameli, D.A. Luckenbaugh, D.S. Charney, H.K. Manji, A randomized trial of an N-methyl-D-aspartate antagonist in treatment-resistant major depression, Arch. Gen. Psychiatry 63 (2006) 856–864, https://doi.org/10.1001/archpsyc.63.8.856. [53] J.W. Murrough, A.M. Perez, S. Pillemer, J. Stern, M.K. Parides, M. Aan Het Rot, K.A. Collins, S.J. Mathew, D.S. Charney, D. v Iosifescu, Rapid and longer-term antidepressant effects of repeated ketamine infusions in treatment-resistant major depression, Biol. Psychiatry 74 (2013) 250–256, https://doi.org/10.1016/ j.biopsych.2012.06.022. [54] D. Pinault, N-Methyl d-aspartate receptor antagonists ketamine and MK-801 induce wake-related aberrant γ oscillations in the rat neocortex, Biol. Psychiatry 63 (2008) 730–735, https://doi.org/10.1016/j.biopsych.2007.10.006. [55] A.D. Shaw, N. Saxena, L.E. Jackson, J.E. Hall, K.D. Singh, S.D. Muthukumaraswamy, Ketamine amplifies induced gamma frequency oscillations in the human cerebral cortex, Eur. Neuropsychopharmacol. 25 (2015) 1136–1146, https://doi.org/10.1016/j.euroneuro.2015.04.012. [56] P. Zanos, R. Moaddel, P.J. Morris, P. Georgiou, J. Fischell, G.I. Elmer, M. Alkondon, P. Yuan, H.J. Pribut, N.S. Singh, K.S.S. Dossou, Y. Fang, X.P. Huang, C.L. Mayo, I.W. Wainer, E.X. Albuquerque, S.M. Thompson, C.J. Thomas, C.A. Zarate, T.D. Gould, NMDAR inhibition-independent antidepressant actions of ketamine metabolites, Nature 533 (2016) 481–486, https://doi.org/10.1038/ NATURE17998. [57] S. de la Salle, J. Choueiry, D. Shah, H. Bowers, J. McIntosh, V. Ilivitsky, V. Knott, Effects of ketamine on resting-state EEG activity and their relationship to perceptual/dissociative symptoms in healthy humans, Front Pharm. 7 (2016) 348, https://doi.org/10.3389/FPHAR.2016.00348/BIBTEX. [58] J.F. Nottage, A. Gabay, K. de Meyer, K.F. Herrik, J.F. Bastlund, S.R. Christensen, S. Gijsen, M.A. Mehta, The effect of ketamine and D-cycloserine on the high frequency resting EEG spectrum in humans, Psychopharmacol. (Berl. ) 240 (2023) 59–75, https://doi.org/10.1007/S00213-022-06272-9. [59] J.R. Gilbert, C.A. Zarate, Electrophysiological biomarkers of antidepressant response to ketamine in treatment-resistant depression: Gamma power and long- term potentiation, Pharm. Biochem Behav. 189 (2020), https://doi.org/10.1016/ j.pbb.2020.172856. [60] P.J. Fitzgerald, B.O. Watson, Gamma oscillations as a biomarker for major depression: an emerging topic, Transl. Psychiatry 8 (2018), https://doi.org/ 10.1038/s41398-018-0239-y. [61] T. Kim, S. Thankachan, J.T. McKenna, J.M. McNally, C. Yang, J.H. Choi, L. Chen, 9 CO RR EC TE D PR OO F S. Kantor et al. Behavioural Brain Research xxx (xxxx) 114473 B. Kocsis, K. Deisseroth, R.E. Strecker, R. Basheer, R.E. Brown, R.W. McCarley, Cortically projecting basal forebrain parvalbumin neurons regulate cortical gamma band oscillations, Proc. Natl. Acad. Sci. USA 112 (2015) 3535–3540, https:// doi.org/10.1073/pnas.1413625112. [62] T.-Y. Liu, J.-C. Hsieh, Y.-S. Chen, P.-C. Tu, T.-P. Su, L.-F. Chen, Different patterns of abnormal gamma oscillatory activity in unipolar and bipolar disorder patients during an implicit emotion task, Neuropsychologia 50 (2012) 1514–1520, https:// doi.org/10.1016/j.neuropsychologia.2012.03.004. [63] T.Y. Liu, Y.S. Chen, T.P. Su, J.C. Hsieh, L.F. Chen, Abnormal early gamma responses to emotional faces differentiate unipolar from bipolar disorder patients, Biomed. Res Int 2014 (2014) 906104, https://doi.org/10.1155/2014/906104. [64] P.-S. Lee, Y.-S. Chen, J.-C. Hsieh, T.-P. Su, L.-F. Chen, Distinct neuronal oscillatory responses between patients with bipolar and unipolar disorders: a magnetoencephalographic study, J. Affect Disord. 123 (2010) 270–275, https:// doi.org/10.1016/j.jad.2009.08.020. [65] D.A. Pizzagalli, L.A. Peccoralo, R.J. Davidson, J.D. Cohen, Resting anterior cingulate activity and abnormal responses to errors in subjects with elevated depressive symptoms: A 128-channel study, Hum. Brain Mapp. 27 (2006) 185–201, https://doi.org/10.1002/hbm.20172. [66] S.C. Liao, C. te Wu, H.C. Huang, W.T. Cheng, Y.H. Liu, Major depression detection from EEG signals using kernel eigen-filter-bank common spatial patterns, Sens. (Switz. ) 17 (2017) 1385, https://doi.org/10.3390/s17061385. [67] S.A. Akar, S. Kara, S. Agambayev, V. Bilgic, Nonlinear analysis of EEG in major depression with fractal dimensions., Annu Int Conf. IEEE Eng. Med Biol. Soc. 2015 (2015) 7410–7413, https://doi.org/10.1109/EMBC.2015.7320104. [68] G.J. Siegle, R. Condray, M.E. Thase, M. Keshavan, S.R. Steinhauer, Sustained gamma-band EEG following negative words in depression and schizophrenia, Int. J. Psychophysiol. 75 (2010) 107–118, https://doi.org/10.1016/ j.ijpsycho.2008.04.008. [69] V.B. Strelets, Z. v Garakh, V.Y. Novototskii-Vlasov, Comparative study of the gamma rhythm in normal conditions, during examination stress, and in patients with first depressive episode, Neurosci. Behav. Physiol. 37 (2007) 387–394, https://doi.org/10.1007/s11055-007-0025-4. [70] A.C. Nugent, E.D. Ballard, T.D. Gould, L.T. Park, R. Moaddel, N.E. Brutsche, C.A. Zarate, Ketamine has distinct electrophysiological and behavioral effects in depressed and healthy subjects, Mol. Psychiatry 24 (2019) 1040–1052, https:// doi.org/10.1038/s41380-018-0028-2. [71] B.M. Laitman, J.K. DaSilva, R.J. Ross, S. Tejani-Butt, A.R. Morrison, Reduced gamma range activity at REM sleep onset and termination in fear-conditioned Wistar-Kyoto rats, Neurosci. Lett. 493 (2011) 14–17, https://doi.org/10.1016/ j.neulet.2011.02.003. [72] J.D. Manduca, R.K. Thériault, O.O.F. Williams, D.J. Rasmussen, M.L. Perreault, Transient dose-dependent effects of ketamine on neural oscillatory activity in Wistar-Kyoto rats, Neuroscience 441 (2020) 161–175, https://doi.org/10.1016/ J.NEUROSCIENCE.2020.05.012. [73] S. Arabzadeh, E. Hakkikazazi, N. Shahmansouri, A. Tafakhori, A. Ghajar, M. Jafarinia, S. Akhondzadeh, Does oral administration of ketamine accelerate response to treatment in major depressive disorder? results of a double-blind controlled trial, J. Affect Disord. 235 (2018) 236–241, https://doi.org/10.1016/ J.JAD.2018.02.056. [74] Y. Domany, M. Bleich-Cohen, R. Tarrasch, R. Meidan, O. Litvak-Lazar, N. Stoppleman, S. Schreiber, M. Bloch, T. Hendler, H. Sharon, Repeated oral ketamine for out-patient treatment of resistant depression: randomised, double-blind, placebo-controlled, proof-of-concept study, Br. J. Psychiatry 214 (2019) 20–26, https://doi.org/10.1192/BJP.2018.196. [75] J.L. Phillips, S. Norris, J. Talbot, M. Birmingham, T. Hatchard, A. Ortiz, O. Owoeye, L.A. Batten, P. Blier, Single, repeated, and maintenance ketamine infusions for treatment-resistant depression: a randomized controlled trial, Am. J. Psychiatry 176 (2019) 401–409, https://doi.org/10.1176/ APPI.AJP.2018.18070834. [76] Y. Sattar, J. Wilson, A.M. Khan, M. Adnan, D. Azzopardi Larios, S. Shrestha, Q. Rahman, Z. Mansuri, A. Hassan, N.B. Patel, N. Tariq, S. Latchana, S.C. Lopez Pantoja, S. Vargas, N.A. Shaikh, F. Syed, D. Mittal, F. Rumesa, A review of the mechanism of antagonism of N-methyl-D-aspartate receptor by ketamine in treatment-resistant depression, Cureus 10 (2018), https://doi.org/10.7759/ CUREUS.2652. [77] M.S. Lener, M.J. Niciu, E.D. Ballard, M. Park, L.T. Park, A.C. Nugent, C.A. Zarate, Glutamate and gamma-aminobutyric acid systems in the pathophysiology of major depression and antidepressant response to ketamine, Biol. Psychiatry 81 (2017) 886–897, https://doi.org/10.1016/J.BIOPSYCH.2016.05.005. [78] M.J. Peterson, R.M. Benca, Sleep in mood disorders, Psychiatr. Clin. North Am. 29 (2006) 1009–1032, https://doi.org/10.1016/j.psc.2006.09.003. [79] A.A. Borbély, P. Achermann, Sleep homeostasis and models of sleep regulation, J. Biol. Rhythms 14 (1999) 559–568, https://doi.org/10.1177/ 074873099129000894. [80] H. Fang, S. Tu, J. Sheng, A. Shao, Depression in sleep disturbance: a review on a bidirectional relationship, mechanisms and treatment, J. Cell Mol. Med 23 (2019) 2324–2332, https://doi.org/10.1111/jcmm.14170. 10