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Smith SK, Kafashan M, Rios RL, Brown EN, Landsness EC, Guay CS, Palanca BJA. Daytime dexmedetomidine sedation with closed-loop acoustic stimulation alters slow wave sleep homeostasis in healthy adults. BJA Open 2024; 10:100276. [PMID: 38571816 PMCID: PMC10990715 DOI: 10.1016/j.bjao.2024.100276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 02/29/2024] [Indexed: 04/05/2024]
Abstract
Background The alpha-2 adrenergic agonist dexmedetomidine induces EEG patterns resembling those of non-rapid eye movement (NREM) sleep. Fulfilment of slow wave sleep (SWS) homeostatic needs would address the assumption that dexmedetomidine induces functional biomimetic sleep states. Methods In-home sleep EEG recordings were obtained from 13 healthy participants before and after dexmedetomidine sedation. Dexmedetomidine target-controlled infusions and closed-loop acoustic stimulation were implemented to induce and enhance EEG slow waves, respectively. EEG recordings during sedation and sleep were staged using modified American Academy of Sleep Medicine criteria. Slow wave activity (EEG power from 0.5 to 4 Hz) was computed for NREM stage 2 (N2) and NREM stage 3 (N3/SWS) epochs, with the aggregate partitioned into quintiles by time. The first slow wave activity quintile served as a surrogate for slow wave pressure, and the difference between the first and fifth quintiles as a measure of slow wave pressure dissipation. Results Compared with pre-sedation sleep, post-sedation sleep showed reduced N3 duration (mean difference of -17.1 min, 95% confidence interval -30.0 to -8.2, P=0.015). Dissipation of slow wave pressure was reduced (P=0.02). Changes in combined durations of N2 and N3 between pre- and post-sedation sleep correlated with total dexmedetomidine dose, (r=-0.61, P=0.03). Conclusions Daytime dexmedetomidine sedation and closed-loop acoustic stimulation targeting EEG slow waves reduced N3/SWS duration and measures of slow wave pressure dissipation on the post-sedation night in healthy young adults. Thus, the paired intervention induces sleep-like states that fulfil certain homeostatic NREM sleep needs in healthy young adults. Clinical trial registration ClinicalTrials.gov NCT04206059.
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Affiliation(s)
- S. Kendall Smith
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
- Center on Biological Rhythms and Sleep, Washington University in St. Louis, St. Louis, MO, USA
| | - MohammadMehdi Kafashan
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
- Center on Biological Rhythms and Sleep, Washington University in St. Louis, St. Louis, MO, USA
| | - Rachel L. Rios
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
- Center on Biological Rhythms and Sleep, Washington University in St. Louis, St. Louis, MO, USA
| | - Emery N. Brown
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Eric C. Landsness
- Center on Biological Rhythms and Sleep, Washington University in St. Louis, St. Louis, MO, USA
- Department of Neurology, Division of Sleep Medicine, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Christian S. Guay
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ben Julian A. Palanca
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
- Center on Biological Rhythms and Sleep, Washington University in St. Louis, St. Louis, MO, USA
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
- Division of Biology and Biomedical Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA
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2
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Palatine E, Phillips ML, Soehner AM. The effect of slow wave sleep deprivation on mood in adolescents with depressive symptoms: A pilot study. J Affect Disord 2024; 354:347-355. [PMID: 38479512 DOI: 10.1016/j.jad.2024.03.058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 02/13/2024] [Accepted: 03/09/2024] [Indexed: 03/23/2024]
Abstract
BACKGROUND There is an urgent need for safe, rapid-acting treatment strategies for adolescent depression. In depressed adults, slow wave sleep deprivation (SWSD) improved next-day mood without disrupting sleep duration, but SWSD has not been tested in adolescents. In a pilot study, the aim was to assess the effect of SWSD on sleep physiology and mood outcomes (depression, rumination, anhedonia) among adolescents with depressive symptoms. METHODS Sixteen adolescents (17.44 ± 1.46 yr, 12 female) completed three nights of polysomnographic sleep recording: Baseline, SWSD, and Recovery nights. Acoustic stimulation (tones of random pitch, duration, and volume) suppressed slow wave sleep (SWS) in real-time during SWSD. After each night, depression, rumination, and anhedonia severity were assessed. RESULTS SWSD successfully suppressed SWS, increased N2, and had minimal impact on Rapid Eye Movement (REM), nocturnal awakenings, and total sleep time. While SWSD did not improve depression or anhedonia severity overall, lower baseline non-REM alpha activity and greater SWS rebound during recovery sleep correlated with SWSD-related reduction in clinician-rated depression severity. Next-day rumination severity decreased after SWSD, with sustained improvements following recovery sleep. However, rumination improvement was not associated with SWS suppression, but rather reduction in total sleep time and REM in exploratory correlation models. LIMITATIONS Small sample size and large proportion of females. CONCLUSION SWSD did not improve depression in adolescents overall but a subset with low non-REM alpha activity and intact homeostatic sleep regulation may benefit from this approach. Findings from this pilot study also suggest that partial sleep deprivation may be a beneficial therapeutic strategy for rumination in adolescents.
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Affiliation(s)
- Elise Palatine
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Adriane M Soehner
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
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Ballesio A. Inflammatory hypotheses of sleep disturbance - depression link: Update and research agenda. Brain Behav Immun Health 2023; 31:100647. [PMID: 37408788 PMCID: PMC10319168 DOI: 10.1016/j.bbih.2023.100647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 04/23/2023] [Accepted: 06/03/2023] [Indexed: 07/07/2023] Open
Abstract
Studies in human and experimental animal models support a role of inflammation in the aetiology of depression, yet the precise role played by sleep disturbance (i.e., difficulties falling or maintaining sleep) is poorly understood. Consistent evidence from prospective epidemiological studies suggests sleep disturbance as a predictor of major depression episodes and depression recurrence. In parallel, up to 20% of individuals with sleep disturbance have low-grade peripheral inflammation (i.e., CRP>3 mg/l), and preliminary longitudinal evidence showed that sleep disturbance may even predict the levels of inflammation. Therefore, it is possible that sleep disturbance may increase inflammation, which in turn may contribute (i.e., mediate) to the onset - or worsening - of depression. Alternatively, sleep disturbance may serve as a vulnerability factor and increase the risk of developing depressive symptoms when facing an immune challenge. The aim of this review was to summarise the state of the science on the role of sleep disturbance in contributing to depression-related inflammation. A research agenda is also proposed to advance the study of sleep disturbance in the psychoneuroimmunology of depression.
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Affiliation(s)
- Andrea Ballesio
- Department of Psychology, Faculty of Medicine and Psychology, Sapienza University of Rome, Italy
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Drakatos P, O'Regan D, Liao Y, Panayiotou C, Higgins S, Kabiljo R, Benson J, Pool N, Tahmasian M, Romigi A, Nesbitt A, Stokes PRA, Kumari V, Young AH, Rosenzweig I. Profile of sleep disturbances in patients with recurrent depressive disorder or bipolar affective disorder in a tertiary sleep disorders service. Sci Rep 2023; 13:8785. [PMID: 37258713 DOI: 10.1038/s41598-023-36083-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 05/29/2023] [Indexed: 06/02/2023] Open
Abstract
Bidirectional relationship between sleep disturbances and affective disorders is increasingly recognised, but its underlying mechanisms are far from clear, and there is a scarcity of studies that report on sleep disturbances in recurrent depressive disorder (RDD) and bipolar affective disorder (BPAD). To address this, we conducted a retrospective study of polysomnographic and clinical records of patients presenting to a tertiary sleep disorders clinic with affective disorders. Sixty-three BPAD patients (32 female; mean age ± S.D.: 41.8 ± 12.4 years) and 126 age- and gender-matched RDD patients (62 female; 41.5 ± 12.8) were studied. Whilst no significant differences were observed in sleep macrostructure parameters between BPAD and RDD patients, major differences were observed in comorbid sleep and physical disorders, both of which were higher in BPAD patients. Two most prevalent sleep disorders, namely obstructive sleep apnoea (OSA) (BPAD 50.8.0% vs RDD 29.3%, P = 0.006) and insomnia (BPAD 34.9% vs RDD 15.0%, P = 0.005) were found to be strongly linked with BPAD. In summary, in our tertiary sleep clinic cohort, no overt differences in the sleep macrostructure between BPAD and RDD patients were demonstrated. However, OSA and insomnia, two most prevalent sleep disorders, were found significantly more prevalent in patients with BPAD, by comparison to RDD patients. Also, BPAD patients presented with significantly more severe OSA, and with higher overall physical co-morbidity. Thus, our findings suggest an unmet/hidden need for earlier diagnosis of those with BPAD.
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Affiliation(s)
- Panagis Drakatos
- Sleep Disorders Centre, Guy's and St Thomas' NHS Foundation Trust, London, UK
- Faculty of Life Sciences and Medicine, King's College London, London, UK
- Department of Neuroimaging, Sleep and Brain Plasticity Centre, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, De Crespigny Park, Box 089, London, SE5 8AF, UK
| | - David O'Regan
- Sleep Disorders Centre, Guy's and St Thomas' NHS Foundation Trust, London, UK
- Faculty of Life Sciences and Medicine, King's College London, London, UK
- Department of Neuroimaging, Sleep and Brain Plasticity Centre, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, De Crespigny Park, Box 089, London, SE5 8AF, UK
| | - Yingqi Liao
- Department of Neuroimaging, Sleep and Brain Plasticity Centre, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, De Crespigny Park, Box 089, London, SE5 8AF, UK
| | - Constantinos Panayiotou
- Department of Neuroimaging, Sleep and Brain Plasticity Centre, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, De Crespigny Park, Box 089, London, SE5 8AF, UK
| | - Sean Higgins
- Sleep Disorders Centre, Guy's and St Thomas' NHS Foundation Trust, London, UK
- Department of Neuroimaging, Sleep and Brain Plasticity Centre, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, De Crespigny Park, Box 089, London, SE5 8AF, UK
| | - Renata Kabiljo
- Department of Neuroimaging, Sleep and Brain Plasticity Centre, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, De Crespigny Park, Box 089, London, SE5 8AF, UK
- Department of Biostatistics and Health Informatics, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, Denmark Hill, London, SE5 8AF, UK
| | - Joshua Benson
- Sleep Disorders Centre, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Norman Pool
- Department of Neuropsychiatry, St George's Hospital, South West London and St George's Mental Health NHS Trust, London, UK
| | - Masoud Tahmasian
- Institute of Neuroscience and Medicine Research, Brain and Behaviour (INM-7), Jülich Research Center, Jülich, Germany & Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Andrea Romigi
- IRCCS Neuromed Istituto Neurologico Mediterraneo Pozzilli (IS), Pozzilli, Italy
| | - Alexander Nesbitt
- Sleep Disorders Centre, Guy's and St Thomas' NHS Foundation Trust, London, UK
- Department of Neuroimaging, Sleep and Brain Plasticity Centre, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, De Crespigny Park, Box 089, London, SE5 8AF, UK
- Department of Neurology, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Paul R A Stokes
- Department of Psychological Medicine, Centre for Affective Disorders, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Veena Kumari
- Division of Psychology, Department of Life Sciences, & Centre for Cognitive Neuroscience, College of Health, Medicine and Life Sciences, Brunel University London, London, UK
| | - Allan H Young
- Department of Psychological Medicine, King's College London & South London and Maudsley NHS Foundation Trust, Institute of Psychiatry, Psychology and Neuroscience, Bethlem Royal Hospital, Beckenham, UK
| | - Ivana Rosenzweig
- Sleep Disorders Centre, Guy's and St Thomas' NHS Foundation Trust, London, UK.
- Department of Neuroimaging, Sleep and Brain Plasticity Centre, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, De Crespigny Park, Box 089, London, SE5 8AF, UK.
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Yasugaki S, Okamura H, Kaneko A, Hayashi Y. Bidirectional Relationship Between Sleep and Depression. Neurosci Res 2023:S0168-0102(23)00087-1. [PMID: 37116584 DOI: 10.1016/j.neures.2023.04.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 03/01/2023] [Accepted: 04/20/2023] [Indexed: 04/30/2023]
Abstract
Patients with depression almost inevitably exhibit abnormalities in sleep, such as shortened latency to enter rapid eye movement (REM) sleep and decrease in electroencephalogram delta power during non-REM sleep. Insufficient sleep can be stressful, and the accumulation of stress leads to the deterioration of mental health and contributes to the development of psychiatric disorders. Thus, it is likely that depression and sleep are bidirectionally related, i.e. development of depression contributes to sleep disturbances and vice versa. However, the relation between depression and sleep seems complicated. For example, acute sleep deprivation can paradoxically improve depressive symptoms. Thus, it is difficult to conclude whether sleep has beneficial or harmful effects in patients with depression. How antidepressants affect sleep in patients with depression might provide clues to understanding the effects of sleep, but caution is required considering that antidepressants have diverse effects other than sleep. Recent animal studies support the bidirectional relation between depression and sleep, and animal models of depression are expected to be beneficial for the identification of neuronal circuits that connect stress, sleep, and depression. This review provides a comprehensive overview regarding the current knowledge of the relationship between depression and sleep.
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Affiliation(s)
- Shinnosuke Yasugaki
- International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Tsukuba, Ibaraki 305-8575, Japan; Biomedical Sciences, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Ibaraki 305-8575, Japan; Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan; Japan Society for the Promotion of Science (JSPS), Tokyo 102-0083, Japan.
| | - Hibiki Okamura
- International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Tsukuba, Ibaraki 305-8575, Japan; Japan Society for the Promotion of Science (JSPS), Tokyo 102-0083, Japan; Program in Humanics, School of Integrative and Global Majors, University of Tsukuba, Tsukuba, Ibaraki 305-8575, Japan.
| | - Ami Kaneko
- International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Tsukuba, Ibaraki 305-8575, Japan; Program in Humanics, School of Integrative and Global Majors, University of Tsukuba, Tsukuba, Ibaraki 305-8575, Japan.
| | - Yu Hayashi
- International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Tsukuba, Ibaraki 305-8575, Japan; Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan; Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, Sakyo-ku, Kyoto 603-8363, Japan.
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6
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Fehér KD, Omlin X, Tarokh L, Schneider CL, Morishima Y, Züst MA, Wunderlin M, Koenig T, Hertenstein E, Ellenberger B, Ruch S, Schmidig F, Mikutta C, Trinca E, Senn W, Feige B, Klöppel S, Nissen C. Feasibility, efficacy, and functional relevance of automated auditory closed-loop suppression of slow-wave sleep in humans. J Sleep Res 2023:e13846. [PMID: 36806335 DOI: 10.1111/jsr.13846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 12/22/2022] [Accepted: 01/23/2023] [Indexed: 02/22/2023]
Abstract
Slow-wave sleep (SWS) is a fundamental physiological process, and its modulation is of interest for basic science and clinical applications. However, automatised protocols for the suppression of SWS are lacking. We describe the development of a novel protocol for the automated detection (based on the whole head topography of frontal slow waves) and suppression of SWS (through closed-loop modulated randomised pulsed noise), and assessed the feasibility, efficacy and functional relevance compared to sham stimulation in 15 healthy young adults in a repeated-measure sleep laboratory study. Auditory compared to sham stimulation resulted in a highly significant reduction of SWS by 30% without affecting total sleep time. The reduction of SWS was associated with an increase in lighter non-rapid eye movement sleep and a shift of slow-wave activity towards the end of the night, indicative of a homeostatic response and functional relevance. Still, cumulative slow-wave activity across the night was significantly reduced by 23%. Undisturbed sleep led to an evening to morning reduction of wake electroencephalographic theta activity, thought to reflect synaptic downscaling during SWS, while suppression of SWS inhibited this dissipation. We provide evidence for the feasibility, efficacy, and functional relevance of a novel fully automated protocol for SWS suppression based on auditory closed-loop stimulation. Future work is needed to further test for functional relevance and potential clinical applications.
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Affiliation(s)
- Kristoffer D Fehér
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.,Division of Psychiatric Specialties, Geneva University Hospitals (HUG), Geneva, Switzerland
| | - Ximena Omlin
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.,Division of Psychiatric Specialties, Geneva University Hospitals (HUG), Geneva, Switzerland
| | - Leila Tarokh
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.,University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Carlotta L Schneider
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Yosuke Morishima
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Marc A Züst
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Marina Wunderlin
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.,Department of Social Neuroscience and Social Psychology, Institute of Psychology, University of Bern, Bern, Switzerland
| | - Thomas Koenig
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Elisabeth Hertenstein
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | | | - Simon Ruch
- Institute for Neuromodulation and Neurotechnology, Department of Neurosurgery and Neurotechnology, University Hospital and University of Tübingen, Tübingen, Germany
| | - Flavio Schmidig
- Cognitive Neuroscience of Memory and Consciousness, Institute of Psychology, University of Bern, Bern, Switzerland
| | - Christian Mikutta
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.,Privatklinik Meiringen, Meiringen, Switzerland
| | - Ersilia Trinca
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Walter Senn
- Institute of Physiology, University of Bern, Bern, Switzerland
| | - Bernd Feige
- University of Freiburg Medical Center, Freiburg, Germany
| | - Stefan Klöppel
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Christoph Nissen
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.,Division of Psychiatric Specialties, Geneva University Hospitals (HUG), Geneva, Switzerland
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7
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Vila-Merkle H, González-Martínez A, Campos-Jiménez R, Martínez-Ricós J, Teruel-Martí V, Lloret A, Blasco-Serra A, Cervera-Ferri A. Sex differences in amygdalohippocampal oscillations and neuronal activation in a rodent anxiety model and in response to infralimbic deep brain stimulation. Front Behav Neurosci 2023; 17:1122163. [PMID: 36910127 PMCID: PMC9995972 DOI: 10.3389/fnbeh.2023.1122163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 02/09/2023] [Indexed: 02/25/2023] Open
Abstract
Introduction Depression and anxiety are highly comorbid mental disorders with marked sex differences. Both disorders show altered activity in the amygdala, hippocampus, and prefrontal cortex. Infralimbic deep brain stimulation (DBS-IL) has anxiolytic and antidepressant effects, but the underlying mechanisms remain unclear. We aimed to contribute to understanding sex differences in the neurobiology of these disorders. Methods In male and female rats, we recorded neural oscillations along the dorsoventral axis of the hippocampus and the amygdala in response to an anxiogenic drug, FG-7142. Following this, we applied DBS-IL. Results Surprisingly, in females, the anxiogenic drug failed to induce most of the changes observed in males. We found sex differences in slow, delta, theta, and beta oscillations, and the amygdalo-hippocampal communication in response to FG-7142, with modest changes in females. Females had a more prominent basal gamma, and the drug altered this band only in males. We also analyzed c-Fos expression in both sexes in stress-related structures in response to FG-7142, DBS-IL, and combined interventions. With the anxiogenic drug, females showed reduced expression in the nucleus incertus, amygdala, septohippocampal network, and neocortical levels. In both experiments, the DBS-IL reversed FG-7142-induced effects, with a more substantial effect in males than females. Discussion Here, we show a reduced response in female rats which contrasts with the higher prevalence of anxiety in women but is consistent with other studies in rodents. Our results open compelling questions about sex differences in the neurobiology of anxiety and depression and their study in animal models.
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Affiliation(s)
- Hanna Vila-Merkle
- Neuronal Circuits Laboratory, Department of Human Anatomy and Embryology, Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Alicia González-Martínez
- Neuronal Circuits Laboratory, Department of Human Anatomy and Embryology, Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Rut Campos-Jiménez
- Neuronal Circuits Laboratory, Department of Human Anatomy and Embryology, Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Joana Martínez-Ricós
- Neuronal Circuits Laboratory, Department of Human Anatomy and Embryology, Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Vicent Teruel-Martí
- Neuronal Circuits Laboratory, Department of Human Anatomy and Embryology, Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Ana Lloret
- Department of Physiology, Faculty of Medicine, Health Research Institute INCLIVA, CIBERFES, University of Valencia, Valencia, Spain
| | - Arantxa Blasco-Serra
- Study Group for the Anatomical Substrate of Pain and Analgesia (GESADA) Laboratory, Department of Human Anatomy and Embryology, Faculty of Medicine and Odontology, University of Valencia, Valencia, Spain
| | - Ana Cervera-Ferri
- Neuronal Circuits Laboratory, Department of Human Anatomy and Embryology, Faculty of Medicine, University of Valencia, Valencia, Spain
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8
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Kahn M, Krone LB, Blanco‐Duque C, Guillaumin MCC, Mann EO, Vyazovskiy VV. Neuronal-spiking-based closed-loop stimulation during cortical ON- and OFF-states in freely moving mice. J Sleep Res 2022; 31:e13603. [PMID: 35665551 PMCID: PMC9786831 DOI: 10.1111/jsr.13603] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 02/20/2022] [Accepted: 03/22/2022] [Indexed: 12/30/2022]
Abstract
The slow oscillation is a central neuronal dynamic during sleep, and is generated by alternating periods of high and low neuronal activity (ON- and OFF-states). Mounting evidence causally links the slow oscillation to sleep's functions, and it has recently become possible to manipulate the slow oscillation non-invasively and phase-specifically. These developments represent promising clinical avenues, but they also highlight the importance of improving our understanding of how ON/OFF-states affect incoming stimuli and what role they play in neuronal plasticity. Most studies using closed-loop stimulation rely on the electroencephalogram and local field potential signals, which reflect neuronal ON- and OFF-states only indirectly. Here we develop an online detection algorithm based on spiking activity recorded from laminar arrays in mouse motor cortex. We find that online detection of ON- and OFF-states reflects specific phases of spontaneous local field potential slow oscillation. Our neuronal-spiking-based closed-loop procedure offers a novel opportunity for testing the functional role of slow oscillation in sleep-related restorative processes and neural plasticity.
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Affiliation(s)
- Martin Kahn
- Department of PhysiologyAnatomy and Genetics, University of OxfordOxfordUK,Sleep and Circadian Neuroscience InstituteUniversity of OxfordOxfordUK
| | - Lukas B. Krone
- Department of PhysiologyAnatomy and Genetics, University of OxfordOxfordUK,Sleep and Circadian Neuroscience InstituteUniversity of OxfordOxfordUK,University Hospital of Psychiatry and PsychotherapyUniversity of BernBernSwitzerland,Centre for Experimental NeurologyUniversity of BernBernSwitzerland
| | - Cristina Blanco‐Duque
- Department of PhysiologyAnatomy and Genetics, University of OxfordOxfordUK,Sleep and Circadian Neuroscience InstituteUniversity of OxfordOxfordUK
| | - Mathilde C. C. Guillaumin
- Sleep and Circadian Neuroscience InstituteUniversity of OxfordOxfordUK,Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK,Department of Health Sciences and TechnologyInstitute for NeuroscienceETH, ZurichSwitzerland
| | - Edward O. Mann
- Department of PhysiologyAnatomy and Genetics, University of OxfordOxfordUK
| | - Vladyslav V. Vyazovskiy
- Department of PhysiologyAnatomy and Genetics, University of OxfordOxfordUK,Sleep and Circadian Neuroscience InstituteUniversity of OxfordOxfordUK
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9
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Ruch S, Schmidig FJ, Knüsel L, Henke K. Closed-loop modulation of local slow oscillations in human NREM sleep. Neuroimage 2022; 264:119682. [PMID: 36240988 DOI: 10.1016/j.neuroimage.2022.119682] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 10/10/2022] [Accepted: 10/11/2022] [Indexed: 11/07/2022] Open
Abstract
Slow-wave sleep is the deep non-rapid eye-movement (NREM) sleep stage that is most relevant for the recuperative function of sleep. Its defining property is the presence of slow oscillations (<2 Hz) in the scalp electroencephalogram (EEG). Slow oscillations are generated by a synchronous back and forth between highly active UP-states and silent DOWN-states in neocortical neurons. Growing evidence suggests that closed-loop sensory stimulation targeted at UP-states of EEG-defined slow oscillations can enhance the slow oscillatory activity, increase sleep depth, and boost sleep's recuperative functions. However, several studies failed to replicate such findings. Failed replications might be due to the use of conventional closed-loop stimulation algorithms that analyze the signal from one single electrode and thereby neglect the fact that slow oscillations vary with respect to their origins, distributions, and trajectories on the scalp. In particular, conventional algorithms nonspecifically target functionally heterogeneous UP-states of distinct origins. After all, slow oscillations at distinct sites of the scalp have been associated with distinct functions. Here we present a novel EEG-based closed-loop stimulation algorithm that allows targeting UP- and DOWN-states of distinct cerebral origins based on topographic analyses of the EEG: the topographic targeting of slow oscillations (TOPOSO) algorithm. We present evidence that the TOPOSO algorithm can detect and target local slow oscillations with specific, predefined voltage maps on the scalp in real-time. When compared to a more conventional, single-channel-based approach, TOPOSO leads to fewer but locally more specific stimulations in a simulation study. In a validation study with napping participants, TOPOSO targets auditory stimulation reliably at local UP-states over frontal, sensorimotor, and centro-parietal regions. Importantly, auditory stimulation temporarily enhanced the targeted local state. However, stimulation then elicited a standard frontal slow oscillation rather than local slow oscillations. The TOPOSO algorithm is suitable for the modulation and the study of the functions of local slow oscillations.
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Affiliation(s)
- Simon Ruch
- Institute for Neuromodulation and Neurotechnology, Department of Neurosurgery and Neurotechnology, University Hospital and University of Tuebingen, Otfried-Müller-Str. 45, Tübingen 72076, Germany; Cognitive Neuroscience of Memory and Consciousness, Institute of Psychology, University of Bern, Fabrikstrasse 8, 3012 Bern, Switzerland.
| | - Flavio Jean Schmidig
- Cognitive Neuroscience of Memory and Consciousness, Institute of Psychology, University of Bern, Fabrikstrasse 8, 3012 Bern, Switzerland
| | - Leona Knüsel
- Cognitive Neuroscience of Memory and Consciousness, Institute of Psychology, University of Bern, Fabrikstrasse 8, 3012 Bern, Switzerland
| | - Katharina Henke
- Cognitive Neuroscience of Memory and Consciousness, Institute of Psychology, University of Bern, Fabrikstrasse 8, 3012 Bern, Switzerland
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10
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Subramanian S, Labonte AK, Nguyen T, Luong AH, Hyche O, Smith SK, Hogan RE, Farber NB, Palanca BJA, Kafashan M. Correlating electroconvulsive therapy response to electroencephalographic markers: Study protocol. Front Psychiatry 2022; 13:996733. [PMID: 36405897 PMCID: PMC9670172 DOI: 10.3389/fpsyt.2022.996733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 10/10/2022] [Indexed: 01/25/2023] Open
Abstract
Introduction Electroconvulsive therapy (ECT) is an effective intervention for patients with major depressive disorder (MDD). Despite longstanding use, the underlying mechanisms of ECT are unknown, and there are no objective prognostic biomarkers that are routinely used for ECT response. Two electroencephalographic (EEG) markers, sleep slow waves and sleep spindles, could address these needs. Both sleep microstructure EEG markers are associated with synaptic plasticity, implicated in memory consolidation, and have reduced expression in depressed individuals. We hypothesize that ECT alleviates depression through enhanced expression of sleep slow waves and sleep spindles, thereby facilitating synaptic reconfiguration in pathologic neural circuits. Methods Correlating ECT Response to EEG Markers (CET-REM) is a single-center, prospective, observational investigation. Wireless wearable headbands with dry EEG electrodes will be utilized for at-home unattended sleep studies to allow calculation of quantitative measures of sleep slow waves (EEG SWA, 0.5-4 Hz power) and sleep spindles (density in number/minute). High-density EEG data will be acquired during ECT to quantify seizure markers. Discussion This innovative study focuses on the longitudinal relationships of sleep microstructure and ECT seizure markers over the treatment course. We anticipate that the results from this study will improve our understanding of ECT.
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Affiliation(s)
- Subha Subramanian
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
- Department of Neurology, Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center, Boston, MA, United States
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States
| | - Alyssa K. Labonte
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
- Neuroscience Graduate Program, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
| | - Thomas Nguyen
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
| | - Anhthi H. Luong
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
- Department of Health Policy and Management, Columbia University, New York, NY, United States
| | - Orlandrea Hyche
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
| | - S. Kendall Smith
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
- Center on Biological Rhythms and Sleep, Washington University School of Medicine in St. Louis, MO, United States
| | - R. Edward Hogan
- Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
| | - Nuri B. Farber
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
| | - Ben Julian A. Palanca
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
- Center on Biological Rhythms and Sleep, Washington University School of Medicine in St. Louis, MO, United States
- Division of Biology and Biomedical Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, United States
- Neuroimaging Labs Research Center, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
| | - MohammadMehdi Kafashan
- Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
- Center on Biological Rhythms and Sleep, Washington University School of Medicine in St. Louis, MO, United States
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11
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Sarzetto A, Cavallini MC, Fregna L, Pacchioni F, Attanasio F, Barbini B, Franchini L, Colombo C. Sleep architecture modifications after double chronotherapy: A case series of bipolar depressed inpatients. Psychiatry Res 2022; 316:114781. [PMID: 36001930 DOI: 10.1016/j.psychres.2022.114781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Revised: 08/08/2022] [Accepted: 08/09/2022] [Indexed: 11/17/2022]
Abstract
The aim of this study is to objectively evaluate sleep architecture changes of depressed bipolar subjects treated with chronoterapeutics. Eleven depressed bipolar inpatients received 3 cycles of Total Sleep Deprivation, followed by daily light therapy sessions for one week. Polysomnography was performed before and after the treatment. Depressive symptoms significantly reduced, and sleep architecture changed with significant differences in N2% and N3% and REM density. Change in N3% was also positively correlated to depressive symptoms reduction. Although, previous studies reported sleep architecture changes after chronoterapeutics in unipolar depression, this is the first study to demonstrate changes also in bipolar depressed subjects.
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Affiliation(s)
- Alessandro Sarzetto
- School of Medicine, Università Vita-Salute San Raffaele, Via Stamira d'Ancona 20, Milan 20127, Italy; Mood Disorders Unit, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona 20, Milan 20127, Italy.
| | - Maria Cristina Cavallini
- Mood Disorders Unit, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona 20, Milan 20127, Italy
| | - Lorenzo Fregna
- Mood Disorders Unit, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona 20, Milan 20127, Italy
| | - Federico Pacchioni
- School of Medicine, Università Vita-Salute San Raffaele, Via Stamira d'Ancona 20, Milan 20127, Italy; Mood Disorders Unit, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona 20, Milan 20127, Italy
| | - Francesco Attanasio
- School of Medicine, Università Vita-Salute San Raffaele, Via Stamira d'Ancona 20, Milan 20127, Italy; Mood Disorders Unit, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona 20, Milan 20127, Italy
| | - Barbara Barbini
- Mood Disorders Unit, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona 20, Milan 20127, Italy
| | - Linda Franchini
- Mood Disorders Unit, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona 20, Milan 20127, Italy
| | - Cristina Colombo
- School of Medicine, Università Vita-Salute San Raffaele, Via Stamira d'Ancona 20, Milan 20127, Italy; Mood Disorders Unit, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona 20, Milan 20127, Italy
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12
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Gardner W, Fuchs F, Durieux L, Bourgin P, Coenen VA, Döbrössy M, Lecourtier L. Slow Wave Sleep Deficits in the Flinders Sensitive Line Rodent Model of Depression: Effects of Medial Forebrain Bundle Deep-Brain Stimulation. Neuroscience 2022; 498:31-49. [PMID: 35750113 DOI: 10.1016/j.neuroscience.2022.06.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Revised: 05/20/2022] [Accepted: 06/15/2022] [Indexed: 10/17/2022]
Abstract
Major Depressive Disorder (MDD) is an affective disorder typically accompanied by sleep disturbances. Deep brain stimulation (DBS) of the medial forebrain bundle (MFB) is an emerging intervention for treatment-resistant depression, but its effect on sleep has not been closely examined. Here we aimed to characterise sleep deficits in the Flinders sensitive line, an established rodent model of depression, and investigate the consequences of MFB stimulation on sleep-related phenotypes. Rats were implanted with bilateral stimulation electrodes in the MFB, surface electrodes to record electrocorticography and electromyography for sleep scoring and electrodes within the prelimbic cortex, nucleus accumbens (NAc) and dorsal hippocampus. Recordings of sleep and oscillatory activity were conducted prior to and following twenty-four hours of MFB stimulation. Behavioural anti-depressant effects were monitored using the forced swim test. Previously unreported abnormalities in the Flinders sensitive line rats were observed during slow wave sleep, including decreased circadian amplitude of its rhythm, a reduction in slow wave activity and elevated gamma band oscillations. Previously established rapid eye movement sleep deficits were replicated. MFB stimulation had anti-depressant effects on behavioural phenotype, but did not significantly impact sleep architecture; it suppressed elevated gamma activity during slow wave sleep in the electrocorticogram and prelimbic cortex signals. Diverse abnormalities in Flinders sensitive line rats emphasise slow wave sleep as a state of dysfunction in affective disorders. MFB stimulation is able to affect behaviour and sleep physiology without influencing sleep architecture. Gamma modulation may represent a component of antidepressant mechanism.
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Affiliation(s)
- Wilf Gardner
- Laboratory of Stereotaxy and Interventional Neurosciences, Department of Stereotactic and Functional Neurosurgery, University Hospital of Freiburg University and Medical Faculty of Freiburg University, Germany; Faculty of Biology, Albert-Ludwigs-Universität-Freiburg, Freiburg, Germany; Laboratoire de Neurosciences Cognitives et Adaptatives, University of Strasbourg, Strasbourg, France
| | - Fanny Fuchs
- Inovarion, Paris, France; Institut des Neurosciences Cellulaires et Intégratives, University of Strasbourg, Strasbourg France
| | - Laura Durieux
- Laboratoire de Neurosciences Cognitives et Adaptatives, University of Strasbourg, Strasbourg, France
| | - Patrice Bourgin
- Institut des Neurosciences Cellulaires et Intégratives, University of Strasbourg, Strasbourg France; Centre des troubles du sommeil - CIRCSom, Strasbourg University Hospitals, Strasbourg, France
| | - Volker A Coenen
- Laboratory of Stereotaxy and Interventional Neurosciences, Department of Stereotactic and Functional Neurosurgery, University Hospital of Freiburg University and Medical Faculty of Freiburg University, Germany; Center for Basics in Neuromodulation, Freiburg University, Freiburg, Germany; Center for Deep Brain Stimulation, Freiburg University, Freiburg, Germany
| | - Máté Döbrössy
- Laboratory of Stereotaxy and Interventional Neurosciences, Department of Stereotactic and Functional Neurosurgery, University Hospital of Freiburg University and Medical Faculty of Freiburg University, Germany; Faculty of Biology, Albert-Ludwigs-Universität-Freiburg, Freiburg, Germany; Dept of Stereotactic and Functional Neurosurgery, University Hospital Freiburg, Germany.
| | - Lucas Lecourtier
- Laboratoire de Neurosciences Cognitives et Adaptatives, University of Strasbourg, Strasbourg, France.
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13
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Abstract
Traditionally, sleep and wakefulness have been considered as two global, mutually exclusive states. However, this view has been challenged by the discovery that sleep and wakefulness are actually locally regulated and that islands of these two states may often coexist in the same individual. Importantly, such a local regulation seems to be the key for many essential functions of sleep, including the maintenance of cognitive efficiency and the consolidation of new skills and memories. Indeed, local changes in sleep-related oscillations occur in brain areas that are used and involved in learning during wakefulness. In turn, these changes directly modulate experience-dependent brain adaptations and the consolidation of newly acquired memories. In line with these observations, alterations in the regional balance between wake- and sleep-like activity have been shown to accompany many pathologic conditions, including psychiatric and neurologic disorders. In the last decade, experimental research has started to shed light on the mechanisms involved in the local regulation of sleep and wakefulness. The results of this research have opened new avenues of investigation regarding the function of sleep and have revealed novel potential targets for the treatment of several pathologic conditions.
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Affiliation(s)
- Giulia Avvenuti
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Giulio Bernardi
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy.
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14
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Chellappa SL, Aeschbach D. Sleep and anxiety: From mechanisms to interventions. Sleep Med Rev 2021; 61:101583. [PMID: 34979437 DOI: 10.1016/j.smrv.2021.101583] [Citation(s) in RCA: 72] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 11/30/2021] [Accepted: 12/01/2021] [Indexed: 12/31/2022]
Abstract
Anxiety is the most common mental health problem worldwide. Epidemiological studies show that sleep disturbances, particularly insomnia, affect ∼50% of individuals with anxiety, and that insufficient sleep can instigate or further exacerbate it. This review outlines brain mechanisms underlying sleep and anxiety, by addressing recent human functional/structural imaging studies on brain networks underlying the anxiogenic impact of sleep loss, and the beneficial effect of sleep on these brain networks. We discuss recent developments from human molecular imaging studies that highlight the role of specific brain neurotransmitter mechanisms, such as the adenosinergic receptor system, on anxiety, arousal, and sleep. This review further discusses frontline sleep interventions aimed at enhancing sleep in individuals experiencing anxiety, such as nonbenzodiazepines/antidepressants, lifestyle and sleep interventions and cognitive behavioral therapy for insomnia. Notwithstanding therapeutic success, up to ∼30% of individuals with anxiety can be nonresponsive to frontline treatments. Thus, we address novel non-invasive brain stimulation techniques that can enhance electroencephalographic slow waves, and might help alleviate sleep and anxiety symptoms. Collectively, these findings contribute to an emerging biological framework that elucidates the interrelationship between sleep and anxiety, and highlight the prospect of slow wave sleep as a potential therapeutic target for reducing anxiety.
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Affiliation(s)
- Sarah L Chellappa
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany.
| | - Daniel Aeschbach
- Department of Sleep and Human Factors Research, Institute of Aerospace Medicine, German Aerospace Center, Cologne, Germany; Institute of Experimental Epileptology and Cognition Research, University of Bonn Medical Center, Bonn, Germany; Division of Sleep Medicine, Harvard Medical School, Boston, United States
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15
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Aydemir E, Tuncer T, Dogan S, Gururajan R, Acharya UR. Automated major depressive disorder detection using melamine pattern with EEG signals. APPL INTELL 2021. [DOI: 10.1007/s10489-021-02426-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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16
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Vila-Merkle H, González-Martínez A, Campos-Jiménez R, Martínez-Ricós J, Teruel-Martí V, Blasco-Serra A, Lloret A, Celada P, Cervera-Ferri A. The Oscillatory Profile Induced by the Anxiogenic Drug FG-7142 in the Amygdala-Hippocampal Network Is Reversed by Infralimbic Deep Brain Stimulation: Relevance for Mood Disorders. Biomedicines 2021; 9:783. [PMID: 34356846 DOI: 10.3390/biomedicines9070783] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 06/27/2021] [Accepted: 06/29/2021] [Indexed: 01/02/2023] Open
Abstract
Anxiety and depression exhibit high comorbidity and share the alteration of the amygdala–hippocampal–prefrontal network, playing different roles in the ventral and dorsal hippocampi. Deep brain stimulation of the infralimbic cortex in rodents or the human equivalent—the subgenual cingulate cortex—constitutes a fast antidepressant treatment. The aim of this work was: (1) to describe the oscillatory profile in a rodent model of anxiety, and (2) to deepen the therapeutic basis of infralimbic deep brain stimulation in mood disorders. First, the anxiogenic drug FG-7142 was administered to anaesthetized rats to characterize neural oscillations within the amygdala and the dorsoventral axis of the hippocampus. Next, deep brain stimulation was applied. FG-7142 administration drastically reduced the slow waves, increasing delta, low theta, and beta oscillations in the network. Moreover, FG-7142 altered communication in these bands in selective subnetworks. Deep brain stimulation of the infralimbic cortex reversed most of these FG-7142 effects. Cross-frequency coupling was also inversely modified by FG-7142 and by deep brain stimulation. Our study demonstrates that the hyperactivated amygdala–hippocampal network associated with the anxiogenic drug exhibits an oscillatory fingerprint. The study contributes to comprehending the neurobiological basis of anxiety and the effects of infralimbic deep brain stimulation.
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17
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Geiser T, Hertenstein E, Fehér K, Maier JG, Schneider CL, Züst MA, Wunderlin M, Mikutta C, Klöppel S, Nissen C. Targeting Arousal and Sleep through Noninvasive Brain Stimulation to Improve Mental Health. Neuropsychobiology 2021; 79:284-292. [PMID: 32408296 DOI: 10.1159/000507372] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 03/14/2020] [Indexed: 01/29/2023]
Abstract
Arousal and sleep represent fundamental physiological domains, and alterations in the form of insomnia (difficulty falling or staying asleep) or hypersomnia (increased propensity for falling asleep or increased sleep duration) are prevalent clinical problems. Current first-line treatments include psychotherapy and pharmacotherapy. Despite significant success, a number of patients do not benefit sufficiently. Progress is limited by an incomplete understanding of the -neurobiology of insomnia and hypersomnia. This work summarizes current concepts of the regulation of arousal and sleep and its modulation through noninvasive brain stimulation (NIBS), including transcranial magnetic, current, and auditory stimulation. Particularly, we suggest: (1) characterization of patients with sleep problems - across diagnostic entities of mental disorders - based on specific alterations of sleep, including alterations of sleep slow waves, sleep spindles, cross-frequency coupling of brain oscillations, local sleep-wake regulation, and REM sleep and (2) targeting these with specific NIBS techniques. While evidence is accumulating that the modulation of specific alterations of sleep through NIBS is feasible, it remains to be tested whether this translates to clinically relevant effects and new treatment developments.
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Affiliation(s)
- Tim Geiser
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Elisabeth Hertenstein
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Kristoffer Fehér
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Jonathan G Maier
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Carlotta L Schneider
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Marc A Züst
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Marina Wunderlin
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Christian Mikutta
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.,Privatklinik Meiringen, Meiringen, Switzerland
| | - Stefan Klöppel
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Christoph Nissen
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland,
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18
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Dudysová D, Janků K, Šmotek M, Saifutdinova E, Kopřivová J, Bušková J, Mander BA, Brunovský M, Zach P, Korčák J, Andrashko V, Viktorinová M, Tylš F, Bravermanová A, Froese T, Páleníček T, Horáček J. The Effects of Daytime Psilocybin Administration on Sleep: Implications for Antidepressant Action. Front Pharmacol 2020; 11:602590. [PMID: 33343372 PMCID: PMC7744693 DOI: 10.3389/fphar.2020.602590] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 11/13/2020] [Indexed: 12/02/2022] Open
Abstract
Serotonergic agonist psilocybin is a psychedelic with antidepressant potential. Sleep may interact with psilocybin’s antidepressant properties like other antidepressant drugs via induction of neuroplasticity. The main aim of the study was to evaluate the effect of psilocybin on sleep architecture on the night after psilocybin administration. Regarding the potential antidepressant properties, we hypothesized that psilocybin, similar to other classical antidepressants, would reduce rapid eye movement (REM) sleep and prolong REM sleep latency. Moreover, we also hypothesized that psilocybin would promote slow-wave activity (SWA) expression in the first sleep cycle, a marker of sleep-related neuroplasticity. Twenty healthy volunteers (10 women, age 28–53) underwent two drug administration sessions, psilocybin or placebo, in a randomized, double-blinded design. Changes in sleep macrostructure, SWA during the first sleep cycle, whole night EEG spectral power across frequencies in non-rapid eye movement (NREM) and REM sleep, and changes in subjective sleep measures were analyzed. The results revealed prolonged REM sleep latency after psilocybin administration and a trend toward a decrease in overall REM sleep duration. No changes in NREM sleep were observed. Psilocybin did not affect EEG power spectra in NREM or REM sleep when examined across the whole night. However, psilocybin suppressed SWA in the first sleep cycle. No evidence was found for sleep-related neuroplasticity, however, a different dosage, timing, effect on homeostatic regulation of sleep, or other mechanisms related to antidepressant effects may play a role. Overall, this study suggests that potential antidepressant properties of psilocybin might be related to changes in sleep.
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Affiliation(s)
- Daniela Dudysová
- National Institute of Mental Health, Klecany, Czechia.,Third Faculty of Medicine, Charles University, Prague, Czechia
| | - Karolina Janků
- National Institute of Mental Health, Klecany, Czechia.,Third Faculty of Medicine, Charles University, Prague, Czechia
| | - Michal Šmotek
- National Institute of Mental Health, Klecany, Czechia.,Third Faculty of Medicine, Charles University, Prague, Czechia
| | - Elizaveta Saifutdinova
- National Institute of Mental Health, Klecany, Czechia.,Czech Technical University in Prague, Prague, Czechia
| | - Jana Kopřivová
- National Institute of Mental Health, Klecany, Czechia.,Third Faculty of Medicine, Charles University, Prague, Czechia
| | - Jitka Bušková
- National Institute of Mental Health, Klecany, Czechia.,Third Faculty of Medicine, Charles University, Prague, Czechia
| | - Bryce Anthony Mander
- Department of Psychiatry and Human Behavior, School of Medicine, Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, United States
| | - Martin Brunovský
- National Institute of Mental Health, Klecany, Czechia.,Third Faculty of Medicine, Charles University, Prague, Czechia
| | - Peter Zach
- National Institute of Mental Health, Klecany, Czechia
| | - Jakub Korčák
- National Institute of Mental Health, Klecany, Czechia
| | | | - Michaela Viktorinová
- National Institute of Mental Health, Klecany, Czechia.,Third Faculty of Medicine, Charles University, Prague, Czechia
| | - Filip Tylš
- National Institute of Mental Health, Klecany, Czechia.,Third Faculty of Medicine, Charles University, Prague, Czechia
| | - Anna Bravermanová
- National Institute of Mental Health, Klecany, Czechia.,First Faculty of Medicine, Charles University, Prague, Czechia
| | - Tom Froese
- Embodied Cognitive Science Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan
| | - Tomáš Páleníček
- National Institute of Mental Health, Klecany, Czechia.,Third Faculty of Medicine, Charles University, Prague, Czechia
| | - Jiří Horáček
- National Institute of Mental Health, Klecany, Czechia.,Third Faculty of Medicine, Charles University, Prague, Czechia
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19
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Smith SK, Nguyen T, Labonte AK, Kafashan M, Hyche O, Guay CS, Wilson E, Chan CW, Luong A, Hickman LB, Fritz BA, Emmert D, Graetz TJ, Melby SJ, Lucey BP, Ju YES, Wildes TS, Avidan MS, Palanca BJA. Protocol for the Prognosticating Delirium Recovery Outcomes Using Wakefulness and Sleep Electroencephalography (P-DROWS-E) study: a prospective observational study of delirium in elderly cardiac surgical patients. BMJ Open 2020; 10:e044295. [PMID: 33318123 PMCID: PMC7737109 DOI: 10.1136/bmjopen-2020-044295] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
INTRODUCTION Delirium is a potentially preventable disorder characterised by acute disturbances in attention and cognition with fluctuating severity. Postoperative delirium is associated with prolonged intensive care unit and hospital stay, cognitive decline and mortality. The development of biomarkers for tracking delirium could potentially aid in the early detection, mitigation and assessment of response to interventions. Because sleep disruption has been posited as a contributor to the development of this syndrome, expression of abnormal electroencephalography (EEG) patterns during sleep and wakefulness may be informative. Here we hypothesise that abnormal EEG patterns of sleep and wakefulness may serve as predictive and diagnostic markers for postoperative delirium. Such abnormal EEG patterns would mechanistically link disrupted thalamocortical connectivity to this important clinical syndrome. METHODS AND ANALYSIS P-DROWS-E (Prognosticating Delirium Recovery Outcomes Using Wakefulness and Sleep Electroencephalography) is a 220-patient prospective observational study. Patient eligibility criteria include those who are English-speaking, age 60 years or older and undergoing elective cardiac surgery requiring cardiopulmonary bypass. EEG acquisition will occur 1-2 nights preoperatively, intraoperatively, and up to 7 days postoperatively. Concurrent with EEG recordings, two times per day postoperative Confusion Assessment Method (CAM) evaluations will quantify the presence and severity of delirium. EEG slow wave activity, sleep spindle density and peak frequency of the posterior dominant rhythm will be quantified. Linear mixed-effects models will be used to evaluate the relationships between delirium severity/duration and EEG measures as a function of time. ETHICS AND DISSEMINATION P-DROWS-E is approved by the ethics board at Washington University in St. Louis. Recruitment began in October 2018. Dissemination plans include presentations at scientific conferences, scientific publications and mass media. TRIAL REGISTRATION NUMBER NCT03291626.
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Affiliation(s)
- S Kendall Smith
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Thomas Nguyen
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Alyssa K Labonte
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - MohammadMehdi Kafashan
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Orlandrea Hyche
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Christian S Guay
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Elizabeth Wilson
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Courtney W Chan
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Anhthi Luong
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - L Brian Hickman
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Bradley A Fritz
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Daniel Emmert
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Thomas J Graetz
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Spencer J Melby
- Department of Surgery, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Brendan P Lucey
- Department of Neurology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Yo-El S Ju
- Department of Neurology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Troy S Wildes
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Michael S Avidan
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
| | - Ben J A Palanca
- Department of Anesthesiology, Washington University in Saint Louis School of Medicine, Saint Louis, Missouri, USA
- Department of Biomedical Engineering, Washington University in St Louis, Saint Louis, Missouri, USA
- Division of Biology and Biomedical Sciences, Washington University in St Louis, Saint Louis, Missouri, USA
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20
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Cheng P, Kalmbach DA, Castelan AC, Murugan N, Drake CL. Depression prevention in digital cognitive behavioral therapy for insomnia: Is rumination a mediator? J Affect Disord 2020; 273:434-41. [PMID: 32560938 DOI: 10.1016/j.jad.2020.03.184] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Revised: 03/24/2020] [Accepted: 03/30/2020] [Indexed: 11/23/2022]
Abstract
Background There has been growing support for digital Cognitive Behavioral Therapy (dCBT-I) as a scalable intervention that both reduces insomnia and prevents depression. However, the mechanisms by which dCBT-I reduces and prevents depression is less clear. Methods This was a randomized controlled trial with two parallel arms: dCBT-I (N=358), or online sleep education as the control condition (N=300). Outcome variables were measured at pre-treatment, post-treatment, and one-year follow-up, and included the Insomnia Severity Index (ISI), the Quick Inventory of Depressive Symptomatology (QIDS-SR16), and the Perseverative Thinking Questionnaire (PTQ). The analyses tested change in PTQ scores as a mediator for post-treatment insomnia, post-treatment depression, and incident depression at one-year follow-up. Results Reductions in rumination (PTQ) were significantly larger in the dCBT-I condition compared to control. Results also showed that reductions in rumination significantly mediated the improvement in post-treatment insomnia severity (proportional effect = 11%) and post-treatment depression severity (proportional effect = 19%) associated with the dCBT-I condition. Finally, reductions in rumination also significantly mediated the prevention of clinically significant depression via dCBT-I (proportional effect = 42%). Limitations Depression was measured with a validated self-report instrument instead of clinical interviews. Durability of results beyond one-year follow-up should also be tested in future research. Conclusions Results provide evidence that rumination is an important mechanism in how dCBT-I reduces and prevents depression.
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21
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Abstract
PURPOSE OF REVIEW The objectives of this review are to examine and integrate existing empirical evidence regarding the impact of slow-wave sleep (SWS) modulation on memory and executive function performance in individuals with psychiatric disorders, and to examine the feasibility of integrating SWS modulation into psychiatric care. RECENT FINDINGS SWS modulation in individuals with psychiatric disorders resulted in changes to SWS across multiple psychiatric disorders, using all stimulation methods. SWS stimulation was associated with improved cognitive performance. SWS modulation using acoustic stimulation resulted in improved cognitive performance in children with ADHD, and the use of transcranial stimulation was associated with improved cognitive performance in individuals with mild cognitive impairment. Significant relationships between changes in SWS and cognitive improvement were found for individual with mild cognitive impairment following the use of acoustic or transcranial stimulation night. Our review reveals partial support to the potential efficacy of SWS modulation as a transdiagnostic intervention that uses sleep to improve cognitive functions of individuals diagnosed with psychiatric disorders and cognitive deficits. It further highlights multiple barriers pertaining to the feasibility of integrating SWS modulation into clinical practice and proposes ways to improve it.
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Affiliation(s)
- Samantha Scholes
- Attention, Behaviour and Sleep Lab, Douglas Mental Health University Institute, 6875 LaSalle Boulevard, Verdun, Montréal, QC, H4H 1R3, Canada.,Perceptual Neuroscience Lab (PNLab) for Autism, Development Department of Educational and Counselling Psychology, McGill University, Montréal, QC, Canada
| | - J A Santisteban
- Attention, Behaviour and Sleep Lab, Douglas Mental Health University Institute, 6875 LaSalle Boulevard, Verdun, Montréal, QC, H4H 1R3, Canada
| | - Yujie Zhang
- Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Armando Bertone
- Perceptual Neuroscience Lab (PNLab) for Autism, Development Department of Educational and Counselling Psychology, McGill University, Montréal, QC, Canada
| | - Reut Gruber
- Attention, Behaviour and Sleep Lab, Douglas Mental Health University Institute, 6875 LaSalle Boulevard, Verdun, Montréal, QC, H4H 1R3, Canada. .,Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, QC, Canada.
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22
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Kadriu B, Ballard ED, Henter ID, Murata S, Gerlus N, Zarate CA Jr. Neurobiological biomarkers of response to ketamine. Adv Pharmacol 2020; 89:195-235. [PMID: 32616207 DOI: 10.1016/bs.apha.2020.05.003] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
As a field, psychiatry is undergoing an exciting paradigm shift toward early identification and intervention that will likely minimize both the burden associated with severe mental illnesses as well as their duration. In this context, the rapid-acting antidepressant ketamine has revolutionized our understanding of antidepressant response and greatly expanded the pharmacologic armamentarium for treatment-resistant depression. Efforts to characterize biomarkers of ketamine response support a growing emphasis on early identification, which would allow clinicians to identify biologically enriched subgroups with treatment-resistant depression who are more likely to benefit from ketamine therapy. This chapter presents a broad overview of a range of translational biomarkers, including those drawn from imaging and electrophysiological studies, sleep and circadian rhythms, and HPA axis/endocrine function as well as metabolic, immune, (epi)genetic, and neurotrophic biomarkers related to ketamine response. Ketamine's unique, rapid-acting properties may serve as a model to explore a whole new class of novel rapid-acting treatments with the potential to revolutionize drug development and discovery. However, it should be noted that although several of the biomarkers reviewed here provide promising insights into ketamine's mechanism of action, most studies have focused on acute rather than longer-term antidepressant effects and, at present, none of the biomarkers are ready for clinical use.
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23
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Rantamäki T, Kohtala S. Encoding, Consolidation, and Renormalization in Depression: Synaptic Homeostasis, Plasticity, and Sleep Integrate Rapid Antidepressant Effects. Pharmacol Rev 2020; 72:439-465. [DOI: 10.1124/pr.119.018697] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
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24
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Lucey BP, McCullough A, Landsness EC, Toedebusch CD, McLeland JS, Zaza AM, Fagan AM, McCue L, Xiong C, Morris JC, Benzinger TLS, Holtzman DM. Reduced non-rapid eye movement sleep is associated with tau pathology in early Alzheimer's disease. Sci Transl Med 2020; 11:11/474/eaau6550. [PMID: 30626715 DOI: 10.1126/scitranslmed.aau6550] [Citation(s) in RCA: 179] [Impact Index Per Article: 44.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Revised: 10/24/2018] [Accepted: 12/12/2018] [Indexed: 12/13/2022]
Abstract
In Alzheimer's disease (AD), deposition of insoluble amyloid-β (Aβ) is followed by intracellular aggregation of tau in the neocortex and subsequent neuronal cell loss, synaptic loss, brain atrophy, and cognitive impairment. By the time even the earliest clinical symptoms are detectable, Aβ accumulation is close to reaching its peak and neocortical tau pathology is frequently already present. The period in which AD pathology is accumulating in the absence of cognitive symptoms represents a clinically relevant time window for therapeutic intervention. Sleep is increasingly recognized as a potential marker for AD pathology and future risk of cognitive impairment. Previous studies in animal models and humans have associated decreased non-rapid eye movement (NREM) sleep slow wave activity (SWA) with Aβ deposition. In this study, we analyzed cognitive performance, brain imaging, and cerebrospinal fluid (CSF) AD biomarkers in participants enrolled in longitudinal studies of aging. In addition, we monitored their sleep using a single-channel electroencephalography (EEG) device worn on the forehead. After adjusting for multiple covariates such as age and sex, we found that NREM SWA showed an inverse relationship with AD pathology, particularly tauopathy, and that this association was most evident at the lowest frequencies of NREM SWA. Given that our study participants were predominantly cognitively normal, this suggested that changes in NREM SWA, especially at 1 to 2 Hz, might be able to discriminate tau pathology and cognitive impairment either before or at the earliest stages of symptomatic AD.
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Affiliation(s)
- Brendan P Lucey
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA. .,Hope Center for Neurological Disorders, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Austin McCullough
- Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Eric C Landsness
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Cristina D Toedebusch
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Jennifer S McLeland
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Aiad M Zaza
- Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Anne M Fagan
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA.,Hope Center for Neurological Disorders, Washington University School of Medicine, St Louis, MO 63110, USA.,Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Lena McCue
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Chengjie Xiong
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - John C Morris
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA.,Hope Center for Neurological Disorders, Washington University School of Medicine, St Louis, MO 63110, USA.,Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Tammie L S Benzinger
- Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.,Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - David M Holtzman
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA. .,Hope Center for Neurological Disorders, Washington University School of Medicine, St Louis, MO 63110, USA.,Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO 63110, USA
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25
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Abstract
Since ancient times it is known that melancholia and sleep disturbances co-occur. The introduction of polysomnography into psychiatric research confirmed a disturbance of sleep continuity in patients with depression, revealing not only a decrease in Slow Wave Sleep, but also a disinhibition of REM (rapid eye movement) sleep, demonstrated as a shortening of REM latency, an increase of REM density, as well as total REM sleep time. Initial hopes that these abnormalities of REM sleep may serve as differential-diagnostic markers for subtypes of depression were not fulfilled. Almost all antidepressant agents suppress REM sleep and a time-and-dose-response relationship between total REM sleep suppression and therapeutic response to treatment seemed apparent. The so-called Cholinergic REM Induction Test revealed that REM sleep abnormalities can be mimicked by administration of cholinomimetic agents. Another important research avenue is the study of chrono-medical timing of sleep deprivation and light exposure for their positive effects on mood in depression. Present day research takes the view on insomnia, i.e., prolonged sleep latency, problems to maintain sleep, and early morning awakening, as a transdiagnostic symptom for many mental disorders, being most closely related to depression. Studying insomnia from different angles as a transdiagnostic phenotype has opened many new perspectives for research into mechanisms but also for clinical practice. Thus, the question is: can the early and adequate treatment of insomnia prevent depression? This article will link current understanding about sleep regulatory mechanisms with knowledge about changes in physiology due to depression. The review aims to draw the attention to current and future strategies in research and clinical practice to the benefits of sleep and depression therapeutics.
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Affiliation(s)
- Dieter Riemann
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
| | - Lukas B Krone
- Sleep and Circadian Neuroscience Institute, University of Oxford, Oxford, UK
- Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, UK
| | - Katharina Wulff
- Departments of Radiation Sciences & Molecular Biology, Umea University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine (WCMM), Umea University, Umeå, Sweden
| | - Christoph Nissen
- University Hospital of Psychiatry and Psychotherapy, Bern, Switzerland
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26
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Shirazi SY, Huang HJ. More Reliable EEG Electrode Digitizing Methods Can Reduce Source Estimation Uncertainty, but Current Methods Already Accurately Identify Brodmann Areas. Front Neurosci 2019; 13:1159. [PMID: 31787866 PMCID: PMC6856631 DOI: 10.3389/fnins.2019.01159] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 10/14/2019] [Indexed: 11/13/2022] Open
Abstract
Electroencephalography (EEG) and source estimation can be used to identify brain areas activated during a task, which could offer greater insight on cortical dynamics. Source estimation requires knowledge of the locations of the EEG electrodes. This could be provided with a template or obtained by digitizing the EEG electrode locations. Operator skill and inherent uncertainties of a digitizing system likely produce a range of digitization reliabilities, which could affect source estimation and the interpretation of the estimated source locations. Here, we compared the reliabilities of five digitizing methods (ultrasound, structured-light 3D scan, infrared 3D scan, motion capture probe, and motion capture) and determined the relationship between digitization reliability and source estimation uncertainty, assuming other contributors to source estimation uncertainty were constant. We digitized a mannequin head using each method five times and quantified the reliability and validity of each method. We created five hundred sets of electrode locations based on our reliability results and applied a dipole fitting algorithm (DIPFIT) to perform source estimation. The motion capture method, which recorded the locations of markers placed directly on the electrodes had the best reliability with an average electrode variability of 0.001 cm. Then, in order of decreasing reliability were the method using a digitizing probe in the motion capture system, an infrared 3D scanner, a structured-light 3D scanner, and an ultrasound digitization system. Unsurprisingly, uncertainty of the estimated source locations increased with greater variability of EEG electrode locations and less reliable digitizing systems. If EEG electrode location variability was ∽1 cm, a single source could shift by as much as 2 cm. To help translate these distances into practical terms, we quantified Brodmann area accuracy for each digitizing method and found that the average Brodmann area accuracy for all digitizing methods was >80%. Using a template of electrode locations reduced the Brodmann area accuracy to ∽50%. Overall, more reliable digitizing methods can reduce source estimation uncertainty, but the significance of the source estimation uncertainty depends on the desired spatial resolution. For accurate Brodmann area identification, any of the digitizing methods tested can be used confidently.
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Affiliation(s)
- Seyed Yahya Shirazi
- Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL, United States
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27
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Zhuo C, Tian H, Li G, Chen M, Jiang D, Lin X, Xu Y, Wang W. Effects of ketamine on circadian rhythm and synaptic homeostasis in patients with treatment-resistant depression: A protocol for mechanistic studies of its rapid and sustained antidepressant actions in humans. Brain Behav 2019; 9:e01423. [PMID: 31617335 PMCID: PMC6851815 DOI: 10.1002/brb3.1423] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 08/27/2019] [Accepted: 09/02/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND The breakthrough discovery has been made that a single dose of ketamine, an N-methyl-D-aspartate receptor antagonist, achieves rapid and sustained (~7 days) antidepressant activity in patients with major depressive disorder (MDD). This discovery has ushered in an exciting era of research and brought new hope for patients with MDD. However, the mechanisms underlying the specific antidepressant actions of ketamine in humans remain to be elucidated. OBJECTIVES This study protocol was designed to test the main hypothesis that ketamine could rapidly reverse depression- and stress-associated synaptic loss and deficits in resting-state functional connectivity and that this action could be affected by circadian rhythm, in patients with treatment-resistant depression. METHODS/STUDY DESIGN In this clinical study, adults (aged 18-65 years) with treatment-resistant depression will be randomized to intravenous administration of placebo (control group) or ketamine (0.5 mg/kg body weight) at 11 a.m. (daytime group), or 6 p.m. (nighttime group) for 24 weeks. The primary outcome will be the change from baseline to 24 weeks in the total Montgomery-Asberg Depression Rating Scale score. Brain imaging, sleep, and genetic studies, including functional magnetic resonance imaging, positron emission tomography, polysomnography, and genetic analyses, will be performed to examine whether and how ketamine can rapidly reverse deficits in synaptic function and to identify objective markers for the assessment of ketamine infusion therapy for treatment-resistant depression. CONCLUSIONS This clinical study protocol is the first, to our knowledge, to describe the prospective testing of the hypothesis that daytime and nighttime administrations of ketamine would have different antidepressant effects. The brain imaging, sleep, and genetic findings from patients with treatment-resistant depression are expected to shed new light on the mechanisms of ketamine and its interaction with target sites in the brain, which can be used for objective evaluation of the efficacy of ketamine.
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Affiliation(s)
- Chuanjun Zhuo
- School of Mental HealthJining Medical UniversityJiningChina
- Psychiatric‐Neuroimaging‐Genetics LaboratoryWenzhou Seventh People's HospitalWenzhouChina
- Psychiatric‐Neuroimaging‐Genetics‐Comorbidity Laboratory (PNGC_Lab)Tianjin Mental Health CentreMental Health Teaching Hospital of Tianjin Medical UniversityTianjin Anding HospitalTianjinChina
- Department of PsychiatrySchool of Basic Medical ScienceTianjin Medical UniversityTianjinChina
- Department of PsychiatryFirst Hospital/First Clinical Medical College of Shanxi Medical UniversityTaiyuanChina
- MDT Center for Cognitive Impairment and Sleep DisordersFirst Hospital of Shanxi Medical UniversityTaiyuanChina
- Co‐collaboration Laboratory of China and CanadaXiamen Xianyue Hospital and University of AlbertaXiamenChina
| | - Hongjun Tian
- Psychiatric‐Neuroimaging‐Genetics‐Comorbidity Laboratory (PNGC_Lab)Tianjin Mental Health CentreMental Health Teaching Hospital of Tianjin Medical UniversityTianjin Anding HospitalTianjinChina
| | - Gongying Li
- School of Mental HealthJining Medical UniversityJiningChina
| | - Min Chen
- School of Mental HealthJining Medical UniversityJiningChina
| | - Deguo Jiang
- Psychiatric‐Neuroimaging‐Genetics LaboratoryWenzhou Seventh People's HospitalWenzhouChina
| | - Xiaodong Lin
- Psychiatric‐Neuroimaging‐Genetics LaboratoryWenzhou Seventh People's HospitalWenzhouChina
| | - Yong Xu
- Department of PsychiatryFirst Hospital/First Clinical Medical College of Shanxi Medical UniversityTaiyuanChina
- MDT Center for Cognitive Impairment and Sleep DisordersFirst Hospital of Shanxi Medical UniversityTaiyuanChina
| | - Wenqiang Wang
- Co‐collaboration Laboratory of China and CanadaXiamen Xianyue Hospital and University of AlbertaXiamenChina
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28
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Cheng P, Kalmbach DA, Tallent G, Joseph CL, Espie CA, Drake CL. Depression prevention via digital cognitive behavioral therapy for insomnia: a randomized controlled trial. Sleep 2019; 42:zsz150. [PMID: 31535688 PMCID: PMC6783888 DOI: 10.1093/sleep/zsz150] [Citation(s) in RCA: 74] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 05/15/2019] [Indexed: 12/21/2022] Open
Abstract
STUDY OBJECTIVES Insomnia is a common precursor to depression; yet, the potential for insomnia treatment to prevent depression has not been demonstrated. Cognitive behavioral therapy for insomnia (CBT-I) effectively reduces concurrent symptoms of insomnia and depression and can be delivered digitally (dCBT-I); however, it remains unclear whether treating insomnia leads to sustained reduction and prevention of depression. This randomized controlled trial examined the efficacy of dCBT-I in reducing and preventing depression over a 1-year follow-up period. METHODS Patients with Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) insomnia disorder were randomly assigned to receive dCBT-I or an attentional control. The follow-up sample included 358 patients in the dCBT-I condition and 300 patients in the online sleep education condition. The primary outcome measure was relative rate ratios for depression at 1-year follow-up. Insomnia responses to treatment were also tested as predictors of incident depression at the 1-year follow-up. RESULTS At 1-year follow-up, depression severity continued to be significantly lower in the dCBT-I condition relative to control. In addition, the number of individuals who reported no depression at 1-year follow-up was 51% higher in the dCBT-I condition relative to control. In those with minimal to no depression at baseline, the incident rate of moderate-to-severe depression at 1-year follow-up was reduced by half in the dCBT-I condition relative to the control condition. CONCLUSION dCBT-I showed robust effects as an intervention that prevents depression. Future research should examine dose-response requirements and further characterize mechanisms of action of dCBT-I for depression prevention. CLINICAL TRIAL Sleep to Prevent Evolving Affective Disorders; NCT02988375.
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Affiliation(s)
- Philip Cheng
- Sleep Disorders and Research Center, Henry Ford Health System, Detroit, MI
| | - David A Kalmbach
- Sleep Disorders and Research Center, Henry Ford Health System, Detroit, MI
| | - Gabriel Tallent
- Sleep Disorders and Research Center, Henry Ford Health System, Detroit, MI
| | | | - Colin A Espie
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
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29
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Goldschmied JR, Cheng P, Armitage R, Deldin PJ. A preliminary investigation of the role of slow-wave activity in modulating waking EEG theta as a marker of sleep propensity in major depressive disorder. J Affect Disord 2019; 257:504-509. [PMID: 31319342 PMCID: PMC6743727 DOI: 10.1016/j.jad.2019.07.027] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Revised: 06/05/2019] [Accepted: 07/04/2019] [Indexed: 10/26/2022]
Abstract
BACKGROUND Both EEG slow-wave activity (SWA) during sleep and EEG theta activity during waking have been shown to increase with extended waking, and decrease following sleep, suggesting that both are markers of sleep propensity. In individuals with major depressive disorder (MDD), however, altered patterns of SWA have been noted, suggesting that sleep homeostasis is dysregulated. This study aimed to examine if slow-wave disruption would alter sleep propensity differently in healthy controls (HC) and those with MDD. METHODS 25 individuals (13 diagnosed with MDD and 12 HC) participated. Following one night of adaptation sleep, participants underwent one night of baseline sleep, and one night of selective slow-wave disruption by auditory stimuli. In the evening, before sleep, and in the morning following sleep, waking EEG was recorded from participants in an upright position, with eyes open. RESULTS Repeated measures ANOVA revealed a significant three-way interaction, such that AM theta activity was significantly lower following slow-wave disruption in those with MDD, but not in HC. Additionally, SWA was not correlated with theta activity in MDD. LIMITATIONS These data are based on a relatively small sample size of unmedicated individuals with MDD. CONCLUSIONS These data may suggest that SWA plays a differential role in the homeostatic regulation of sleep in HC, and in MDD, and provide additional evidence that the presence of SWA may be maladaptive in MDD.
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Affiliation(s)
- Jennifer R. Goldschmied
- Center for Sleep & Circadian Neurobiology, University of Pennsylvania, 125 S.31st St, Philadelphia, PA 19104, United States
| | - Philip Cheng
- Sleep Disorders and Research Center, Henry Ford Health System, 39450 W 12 Mile Rd, Novi MI 48377, United States.
| | - Roseanne Armitage
- Department of Psychiatry, University of Michigan, 4250 Plymouth Rd, Ann Arbor, MI 48109, United States.
| | - Patricia J. Deldin
- Department of Psychiatry, University of Michigan, 4250 Plymouth Rd, Ann Arbor, MI 48109, United States
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30
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Abstract
PURPOSE OF REVIEW In this review, we aim to integrate the most recent research highlighting alterations in sleep slow-wave activity (SWA), and impairments in neuroplasticity in major depressive disorder (MDD) into a novel model of disorder maintenance. RECENT FINDINGS Sleep homeostasis has been shown to be impaired in MDD, with a subset of individuals also demonstrating impaired SWA. SWA is considered a marker of the homeostatic regulation of sleep, and is implicated in the downscaling of synaptic strength in the context of maintaining homeostatic plasticity. Individuals with MDD have been shown to exhibit impairments in both neural plasticity such as loss of dendritic branching, and synaptic plasticity such as decreased long-term potentiation-dependent learning and memory. Alterations in the homeostatic regulation of sleep, SWA, and synaptic plasticity in MDD suggest an underlying impairment in the modulation of synaptic strength. One candidate mechanism for this impairment is AMPA receptor trafficking.
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Jones BJ, Fitzroy AB, Spencer RMC. Emotional Memory Moderates the Relationship Between Sigma Activity and Sleep-Related Improvement in Affect. Front Psychol 2019; 10:500. [PMID: 30915002 PMCID: PMC6423070 DOI: 10.3389/fpsyg.2019.00500] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Accepted: 02/20/2019] [Indexed: 12/17/2022] Open
Abstract
Sleep is essential for regulating mood and affect, and it also consolidates emotional memories. The mechanisms underlying these effects may overlap. Here, we investigated whether the influence of sleep on affect may be moderated by emotional memory consolidation. Young adults viewed 45 negative and 45 neutral pictures before taking an afternoon nap measured with polysomnography. Following the nap period, participants viewed the same pictures intermixed with novel ones and indicated whether they remembered each picture. Affect was measured with the Positive and Negative Affect Schedule (PANAS) at baseline before the initial picture viewing task, immediately following the initial picture viewing task, and following the nap. The ratio of positive to negative affect declined over the task period and recovered over the nap period. When controlling for pre-nap affect, NREM sigma activity significantly predicted post-nap affect. Memory for negative pictures moderated this relationship such that a positive association between sigma activity and affect occurred when memory was low but not when memory was high. These results indicate that emotional memory consolidation influences the relationship between nap physiology and mood.
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Affiliation(s)
- Bethany J Jones
- Department of Psychological and Brain Sciences, University of Massachusetts, Amherst, MA, United States.,Neuroscience and Behavior Program, University of Massachusetts, Amherst, MA, United States
| | - Ahren B Fitzroy
- Department of Psychological and Brain Sciences, University of Massachusetts, Amherst, MA, United States.,Neuroscience and Behavior Program, University of Massachusetts, Amherst, MA, United States.,Department of Psychology and Education, Mount Holyoke College, South Hadley, MA, United States
| | - Rebecca M C Spencer
- Department of Psychological and Brain Sciences, University of Massachusetts, Amherst, MA, United States.,Neuroscience and Behavior Program, University of Massachusetts, Amherst, MA, United States
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Abstract
BACKGROUND Studies have demonstrated that decreases in slow-wave activity (SWA) predict decreases in depressive symptoms in those with major depressive disorder (MDD), suggesting that there may be a link between SWA and mood. The aim of the present study was to determine if the consequent change in SWA regulation following a mild homeostatic sleep challenge would predict mood disturbance. METHODS Thirty-seven depressed and fifty-nine healthy adults spent three consecutive nights in the sleep laboratory. On the third night, bedtime was delayed by 3 h, as this procedure has been shown to provoke SWA. The Profile of Mood States questionnaire was administered on the morning following the baseline and sleep delay nights to measure mood disturbance. RESULTS Results revealed that following sleep delay, a lower delta sleep ratio, indicative of inadequate dissipation of SWA from the first to the second non-rapid eye movement period, predicted increased mood disturbance in only those with MDD. CONCLUSIONS These data demonstrate that in the first half of the night, individuals with MDD who have less SWA dissipation as a consequence of impaired SWA regulation have greater mood disturbance, and may suggest that appropriate homeostatic regulation of sleep is an important factor in the disorder.
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Affiliation(s)
- Jennifer R Goldschmied
- Center for Sleep & Circadian Neurobiology, University of Pennsylvania,125 S.31st St, Philadelphia, PA 19104,USA
| | - Philip Cheng
- Sleep Disorders and Research Center, Henry Ford Health System,39450 W 12 Mile Rd, Novi MI 48377,USA
| | - Robert Hoffmann
- Department of Psychiatry,University of Michigan,4250 Plymouth Rd, Ann Arbor, MI 48109,USA
| | - Elaine M Boland
- Behavioral Health Service,Cpl. Michael J. Crescenz VA Medical Center,3900 Woodland Ave., Philadelphia, PA 19104,USA
| | - Patricia J Deldin
- Department of Psychiatry,University of Michigan,4250 Plymouth Rd, Ann Arbor, MI 48109,USA
| | - Roseanne Armitage
- Department of Psychiatry,University of Michigan,4250 Plymouth Rd, Ann Arbor, MI 48109,USA
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Mahboubi S, Nasehi M, Imani A, Sadat-Shirazi MS, Zarrindast MR, Vousooghi N, Noroozian M. Benefit effect of REM-sleep deprivation on memory impairment induced by intensive exercise in male wistar rats: with respect to hippocampal BDNF and TrkB. Nat Sci Sleep 2019; 11:179-188. [PMID: 31576186 PMCID: PMC6767759 DOI: 10.2147/nss.s207339] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Accepted: 07/29/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Many factors affect our learning and memory quality, but according to different studies, having a positive or negative impact pertains to their characteristics like intensity or the amount. PURPOSE The present study was conducted to investigate the effect of 24-hour REM-sleep deprivation on continuous-high intensity forced exercise-induced memory impairment and its effect on Brain-Derived Neurotrophic Factor (BDNF) and Tyrosine kinase B (TrkB) levels in the hippocampus and Prefrontal Cortex area (PFC). MATERIAL AND METHODS Animals were conditioned to run on treadmills for 5 weeks then, were deprived of sleep for 24 h using the modified multiple platforms. The effect of intensive exercise and/or 24-h REM-SD was studied on behavioral performance using Morris Water Maze protocol for 2 days, and BDNF/TrkB levels were assessed in hippocampus and PFC after behavioral probe test using western blotting. RESULTS After 5 weeks of intensive exercise and 24-h REM-SD, spatial memory impairment and reduction of BDNF and TrkB levels were found in hippocampus and PFC. 24-h REM-SD improved memory impairment and intensive exercise-induced downregulation of BDNF and TrkB protein levels. CONCLUSION The results of the study suggested that sleep deprivation might act as a compensatory factor to reduce memory impairment when the animal is under severe stressful condition.
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Affiliation(s)
- Sarah Mahboubi
- Department of Neuroscience, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Nasehi
- Department of Cognitive and Neuroscience Research Center (CNRC), Amir-Almomenin Hospital, Tehran Medical Sciences Branch, Islamic Azad University, Tehran, Iran
| | - Alireza Imani
- Department of Physiology, School of Medicine, Tehran University of Medical Science, Tehran, Iran.,Department of Occupational Sleep Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Mitra-Sadat Sadat-Shirazi
- Department of Neuroscience, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.,Department of Cognitive and Neuroscience Research Center (CNRC), Amir-Almomenin Hospital, Tehran Medical Sciences Branch, Islamic Azad University, Tehran, Iran.,Department of Physiology, School of Medicine, Tehran University of Medical Science, Tehran, Iran.,Department of Occupational Sleep Research Center, Tehran University of Medical Sciences, Tehran, Iran.,Department of Iranian National Center for Addiction Studies, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad-Reza Zarrindast
- Department of Iranian National Center for Addiction Studies, Tehran University of Medical Sciences, Tehran, Iran.,Department of Pharmacology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.,Department of Endocrinology and Metabolism Research Institute, Tehran University of Medical Science, Tehran, Iran
| | - Nasim Vousooghi
- Department of Neuroscience, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Noroozian
- Department of Neuroscience, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.,Department of Cognitive and Neuroscience Research Center (CNRC), Amir-Almomenin Hospital, Tehran Medical Sciences Branch, Islamic Azad University, Tehran, Iran.,Department of Physiology, School of Medicine, Tehran University of Medical Science, Tehran, Iran.,Department of Occupational Sleep Research Center, Tehran University of Medical Sciences, Tehran, Iran.,Department of Iranian National Center for Addiction Studies, Tehran University of Medical Sciences, Tehran, Iran.,Department of Pharmacology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.,Department of Endocrinology and Metabolism Research Institute, Tehran University of Medical Science, Tehran, Iran.,Memory and Behavioral Neurology Division, Department of Psychiatry, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran
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Bresch E, Großekathöfer U, Garcia-Molina G. Recurrent Deep Neural Networks for Real-Time Sleep Stage Classification From Single Channel EEG. Front Comput Neurosci 2018; 12:85. [PMID: 30386226 PMCID: PMC6198094 DOI: 10.3389/fncom.2018.00085] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Accepted: 09/24/2018] [Indexed: 11/13/2022] Open
Abstract
Objective: We investigate the design of deep recurrent neural networks for detecting sleep stages from single channel EEG signals recorded at home by non-expert users. We report the effect of data set size, architecture choices, regularization, and personalization on the classification performance. Methods: We evaluated 58 different architectures and training configurations using three-fold cross validation. Results: A network consisting of convolutional (CONV) layers and long short term memory (LSTM) layers can achieve an agreement with a human annotator of Cohen's Kappa of ~0.73 using a training data set of 19 subjects. Regularization and personalization do not lead to a performance gain. Conclusion: The optimal neural network architecture achieves a performance that is very close to the previously reported human inter-expert agreement of Kappa 0.75. Significance: We give the first detailed account of CONV/LSTM network design process for EEG sleep staging in single channel home based setting.
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Affiliation(s)
- Erik Bresch
- Data Science, Philips Research, Eindhoven, Netherlands
| | | | - Gary Garcia-Molina
- Philips Sleep and Respiratory Care, Pittsburgh, PA, United States.,Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, United States
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Karthikeyan R, Spence DW, Brown GM, Pandi-Perumal SR. Are Type 2 Diabetes Mellitus and Depression Part of a Common Clock Genes Network? J Circadian Rhythms 2018; 16:4. [PMID: 30210564 DOI: 10.5334/jcr.159] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
In recent years, there has been an increased prevalence of type 2 diabetes mellitus (T2DM) and depression across the world. This growing public health problem has produced an increasing socioeconomic burden to the populations of all affected countries. Despite an awareness by public health officials and medical researchers of the costs associated with these diseases, there still remain many aspects of how they develop that are not understood. In this article, we propose that the circadian clock could be a factor that coordinates both the neurobehavioral and metabolic processes that underlie depression and T2DM. We propose further that this perspective, one which emphasizes the regulatory effects of clock gene activity, may provide insights into how T2DM and depression interact with one another, and may thus open a new pathway for managing and treating these disorders.
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Soehner AM, Kaplan KA, Saletin JM, Talbot LS, Hairston IS, Gruber J, Eidelman P, Walker MP, Harvey AG. You'll feel better in the morning: slow wave activity and overnight mood regulation in interepisode bipolar disorder. Psychol Med 2018; 48:249-260. [PMID: 28625231 PMCID: PMC5736461 DOI: 10.1017/s0033291717001581] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
BACKGROUND Sleep disturbances are prominent correlates of acute mood episodes and inadequate recovery in bipolar disorder (BD), yet the mechanistic relationship between sleep physiology and mood remains poorly understood. Using a series of pre-sleep mood inductions and overnight sleep recording, this study examined the relationship between overnight mood regulation and a marker of sleep intensity (non-rapid eye movement sleep slow wave activity; NREM SWA) during the interepisode phase of BD. METHODS Adults with interepisode BD type 1 (BD; n = 20) and healthy adult controls (CTL; n = 23) slept in the laboratory for a screening night, a neutral mood induction night (baseline), a happy mood induction night, and a sad mood induction night. NREM SWA (0.75-4.75 Hz) was derived from overnight sleep EEG recordings. Overnight mood regulation was evaluated using an affect grid pleasantness rating post-mood induction (pre-sleep) and the next morning. RESULTS Overnight mood regulation did not differ between groups following the sad or happy inductions. SWA did not significantly change for either group on the sad induction night compared with baseline. In BD only, SWA on the sad night was related to impaired overnight negative mood regulation. On the happy induction night, SWA increased relative to baseline in both groups, though SWA was not related to overnight mood regulation for either group. CONCLUSIONS These findings indicate that SWA disruption may play a role in sustaining negative mood state from the previous night in interepisode BD. However, positive mood state could enhance SWA in bipolar patients and healthy adults.
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Affiliation(s)
- A M Soehner
- Department of Psychiatry,University of Pittsburgh School of Medicine,Pittsburgh, PA,USA
| | - K A Kaplan
- Department of Psychiatry,Stanford University School of Medicine,Stanford, CA,USA
| | - J M Saletin
- Department of Psychiatry and Human Behavior,Alpert Medical School of Brown University,Providence, RI,USA
| | - L S Talbot
- San Francisco Veterans Affairs Medical Center,San Francisco, CA,USA
| | - I S Hairston
- School of Behavioral Sciences, Academic College of Tel Aviv - Jaffa,Jaffa,Israel
| | - J Gruber
- Department of Psychology,University of Colorado,Boulder, Boulder, CO,USA
| | - P Eidelman
- Cognitive Behavior Therapy and Science Center,Oakland, CA,USA
| | - M P Walker
- Department of Psychology,University of California,Berkeley, Berkeley, CA,USA
| | - A G Harvey
- Department of Psychology,University of California,Berkeley, Berkeley, CA,USA
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Bravo AJ, Kelley ML, Swinkels CM, Ulmer CS. Work stressors, depressive symptoms and sleep quality among US Navy members: a parallel process latent growth modelling approach across deployment. J Sleep Res 2017; 27:e12624. [PMID: 29098744 DOI: 10.1111/jsr.12624] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2017] [Accepted: 09/13/2017] [Indexed: 11/30/2022]
Abstract
The present study examined whether work stressors contribute to sleep problems and depressive symptoms over the course of deployment (i.e. pre-deployment, post-deployment and 6-month reintegration) among US Navy members. Specifically, we examined whether depressive symptoms or sleep quality mediate the relationships between work stressors and these outcomes. Participants were 101 US Navy members who experienced an 8-month deployment after Operational Enduring Freedom/Operation Iraqi Freedom. Using piecewise latent growth models, we found that increased work stressors were linked to increased depressive symptoms and decreased sleep quality across all three deployment stages. Further, increases in work stressors from pre- to post-deployment contributed to poorer sleep quality post-deployment via increasing depressive symptoms. Moreover, sleep quality mediated the association between increases in work stressors and increases in depressive symptoms from pre- to post-deployment. These effects were maintained from post-deployment through the 6-month reintegration. Although preliminary, our results suggest that changes in work stressors may have small, but significant implications for both depressive symptoms and quality of sleep over time, and a bi-directional relationship persists between sleep quality and depression across deployment. Strategies that target both stress and sleep could address both precipitating and perpetuating factors that affect sleep and depressive symptoms.
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Affiliation(s)
- Adrian J Bravo
- Center on Alcoholism, Substance Abuse, and Addictions, University of New Mexico, Albuquerque, NM, USA
| | | | - Cindy M Swinkels
- Durham VA Medical Center, Durham, NC, USA.,VA Mid-Atlantic Region Mental Illness Research, Education and Clinical Center (MIRECC), Durham, NC, USA.,Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
| | - Christi S Ulmer
- Durham VA Medical Center, Durham, NC, USA.,Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
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Zhang MQ, Li R, Wang YQ, Huang ZL. Neural Plasticity Is Involved in Physiological Sleep, Depressive Sleep Disturbances, and Antidepressant Treatments. Neural Plast 2017; 2017:5870735. [PMID: 29181202 DOI: 10.1155/2017/5870735] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2017] [Revised: 06/27/2017] [Accepted: 07/13/2017] [Indexed: 12/28/2022] Open
Abstract
Depression, which is characterized by a pervasive and persistent low mood and anhedonia, greatly impacts patients, their families, and society. The associated and recurring sleep disturbances further reduce patient's quality of life. However, therapeutic sleep deprivation has been regarded as a rapid and robust antidepressant treatment for several decades, which suggests a complicated role of sleep in development of depression. Changes in neural plasticity are observed during physiological sleep, therapeutic sleep deprivation, and depression. This correlation might help us to understand better the mechanism underlying development of depression and the role of sleep. In this review, we first introduce the structure of sleep and the facilitated neural plasticity caused by physiological sleep. Then, we introduce sleep disturbances and changes in plasticity in patients with depression. Finally, the effects and mechanisms of antidepressants and therapeutic sleep deprivation on neural plasticity are discussed.
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Khazaie H, Veronese M, Noori K, Emamian F, Zarei M, Ashkan K, Leschziner GD, Eickhoff CR, Eickhoff SB, Morrell MJ, Osorio RS, Spiegelhalder K, Tahmasian M, Rosenzweig I. Functional reorganization in obstructive sleep apnoea and insomnia: A systematic review of the resting-state fMRI. Neurosci Biobehav Rev 2017; 77:219-231. [PMID: 28344075 PMCID: PMC6167921 DOI: 10.1016/j.neubiorev.2017.03.013] [Citation(s) in RCA: 104] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2016] [Revised: 02/24/2017] [Accepted: 03/21/2017] [Indexed: 12/12/2022]
Abstract
Resting state functional MRI studies is a promising non-invasive tool for better understanding of the pathophysiology of sleep disorders. The salience network is involved in hyperarousal and affective symptoms in insomnia. The posterior default mode network appears to underlie cognitive and depressive symptoms of obstructive sleep apnoea. Disruption of intrinsic networks have been demonstrated in major depression, which is a common co-morbidity of sleep disorders.
Functional neuroimaging techniques have accelerated progress in the study of sleep disorders. Considering the striking prevalence of these disorders in the general population, however, as well as their strong bidirectional relationship with major neuropsychiatric disorders, including major depressive disorder, their numbers are still surprisingly low. This review examines the contribution of resting state functional MRI to current understanding of two major sleep disorders, insomnia disorder and obstructive sleep apnoea. An attempt is made to learn from parallels of previous resting state functional neuroimaging findings in major depressive disorder. Moreover, shared connectivity biomarkers are suggested for each of the sleep disorders. Taken together, despite some inconsistencies, the synthesis of findings to date highlights the importance of the salience network in hyperarousal and affective symptoms in insomnia. Conversely, dysfunctional connectivity of the posterior default mode network appears to underlie cognitive and depressive symptoms of obstructive sleep apnoea.
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Affiliation(s)
- Habibolah Khazaie
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran
| | - Mattia Veronese
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, IoPPN, King's College, London, UK
| | - Khadijeh Noori
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran
| | - Farnoosh Emamian
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran; Department of Psychiatry, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Mojtaba Zarei
- Institute of Medical Sciences and Technology, Shahid Beheshti University, Tehran, Iran; School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
| | - Keyoumars Ashkan
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, IoPPN, King's College, London, UK; Department of Neurosurgery, King's College Hospital, London, UK
| | - Guy D Leschziner
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, IoPPN, King's College, London, UK; Sleep Disorders Centre, Guy's and St Thomas' Hospital, London, UK
| | - Claudia R Eickhoff
- Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany; Department of Psychiatry, Psychotherapy, and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany; Institute of Clinical Neuroscience & Medical Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Mary J Morrell
- Academic Unit of Sleep and Breathing, National Heart and Lung Institute, Imperial College London, UK and NIHR Respiratory Disease Biomedical Research Unit at the Royal Brompton and Harefield NHS Foundation Trust,Sydney Street, London, SW3 6NP, UK
| | - Ricardo S Osorio
- Center for Brain Health, NYU School of Medicine, New York, NY, United States
| | - Kai Spiegelhalder
- Department of Clinical Psychology and Psychophysiology/Sleep Medicine, Center for Mental Disorders, University of Freiburg Medical Center, Freiburg, Germany
| | - Masoud Tahmasian
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran; Institute of Medical Sciences and Technology, Shahid Beheshti University, Tehran, Iran; School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran.
| | - Ivana Rosenzweig
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, IoPPN, King's College, London, UK; Sleep Disorders Centre, Guy's and St Thomas' Hospital, London, UK
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Harrington MO, Pennington K, Durrant SJ. The 'affect tagging and consolidation' (ATaC) model of depression vulnerability. Neurobiol Learn Mem 2017; 140:43-51. [PMID: 28232148 DOI: 10.1016/j.nlm.2017.02.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2016] [Revised: 01/24/2017] [Accepted: 02/08/2017] [Indexed: 11/24/2022]
Abstract
Since the 1960's polysomnographic sleep research has demonstrated that depressive episodes are associated with REM sleep alterations. Some of these alterations, such as increased REM sleep density, have also been observed in first-degree relatives of patients and remitted patients, suggesting that they may be vulnerability markers of major depressive disorder (MDD), rather than mere epiphenomena of the disorder. Neuroimaging studies have revealed that depression is also associated with heightened amygdala reactivity to negative emotional stimuli, which may also be a vulnerability marker for MDD. Several models have been developed to explain the respective roles of REM sleep alterations and negatively-biased amygdala activity in the pathology of MDD, however the possible interaction between these two potential risk-factors remains uncharted. This paper reviews the roles of the amygdala and REM sleep in the encoding and consolidation of negative emotional memories, respectively. We present our 'affect tagging and consolidation' (ATaC) model, which argues that increased REM sleep density and negatively-biased amygdala activity are two separate, genetically influenced risk-factors for depression which interact to promote the development of negative memory bias - a well-known cognitive vulnerability marker for depression. Predictions of the ATaC model may motivate research aimed at improving our understanding of sleep dependent memory consolidation in depression aetiology.
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Affiliation(s)
- Marcus O Harrington
- School of Psychology, College of Social Science, University of Lincoln, Brayford Pool, Lincoln LN6 7TS, United Kingdom.
| | - Kyla Pennington
- School of Psychology, College of Social Science, University of Lincoln, Brayford Pool, Lincoln LN6 7TS, United Kingdom.
| | - Simon J Durrant
- School of Psychology, College of Social Science, University of Lincoln, Brayford Pool, Lincoln LN6 7TS, United Kingdom.
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Birchler-Pedross A, Frey S, Götz T, Brunner P, Knoblauch V, Wirz-Justice A, Chellappa SL, Cajochen C. Subjective Mood in Young Unmedicated Depressed Women under High and Low Sleep Pressure Conditions. Biology (Basel) 2016; 5:E52. [PMID: 27941666 DOI: 10.3390/biology5040052] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Revised: 11/29/2016] [Accepted: 11/29/2016] [Indexed: 01/05/2023]
Abstract
Diurnal mood variations are one of the core symptoms in depression, and total sleep deprivation (SD) can induce rapid, short-lasting clinical improvement in depressed patients. Here, we investigated if differential sleep pressure conditions impact on subjective mood levels in young women with major depressive disorder (MDD) without sleep disturbances, and in healthy controls. Eight healthy and eight MDD women underwent 40-h SD (high sleep pressure) and 40-h multiple NAP (low sleep pressure) protocols under constant routine conditions during which subjective mood was assessed every 30-min. MDD women rated overall significantly worse mood than controls, with minimal values for both groups during the biological night (ca. 4 a.m.), under high and low sleep pressure conditions. During SD, nighttime mood ratings in MDD women were lower than in controls and partially recovered during the second day of SD, but never attained control levels. The degree of this diurnal time-course in mood under SD correlated positively with sleep quality in MDD women. Our data indicate that MDD women without sleep disturbances did not exhibit a SD-induced antidepressant response, suggesting that the mood enhancement response to sleep deprivation might be related to the co-existence of sleep disturbances, which is an association that remains to be fully established.
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Arnedt JT, Swanson LM, Dopp RR, Bertram HS, Mooney AJ, Huntley ED, Hoffmann RF, Armitage R. Effects of Restricted Time in Bed on Antidepressant Treatment Response: A Randomized Controlled Trial. J Clin Psychiatry 2016; 77:e1218-e1225. [PMID: 27529765 PMCID: PMC5659710 DOI: 10.4088/jcp.15m09879] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2015] [Accepted: 09/10/2015] [Indexed: 12/28/2022]
Abstract
OBJECTIVE Antidepressant response onset is delayed in individuals with major depressive disorder (MDD). This study compared remission rates and time to remission onset for antidepressant medication delivered adjunctively to nightly time in bed (TIB) restriction of 6 hours or 8 hours for the initial 2 weeks. METHODS Sixty-eight adults with DSM-IV-diagnosed MDD (mean ± SD age = 25.4 ± 6.6 years, 34 women) were recruited from September 2009 to December 2012 in an academic medical center. Participants received 8 weeks of open-label fluoxetine 20-40 mg and were randomized to 1 of 3 TIB conditions for the first 2 weeks: 8-hour TIB (n = 19); 6-hour TIB with a 2-hour bedtime delay (late bedtime, n = 24); or 6-hour TIB with a 2-hour rise time advance (early rise time, n = 25). Clinicians blinded to TIB condition rated symptom severity weekly. Symptom severity, remission rates, and remission onset as rated by the 17-item Hamilton Depression Rating Scale were the primary outcomes. RESULTS Mixed effects models indicated lower depression severity for the 8-hour TIB compared to the 6-hour TIB group overall (F₈, ₂₂₆.₉ = 2.1, P < .05), with 63.2% of 8-hour TIB compared to 32.6% of 6-hour TIB subjects remitting by week 8 (χ²₁ = 4.9, P < .05). Remission onset occurred earlier for the 8-hour TIB group (hazard ratio = 0.43; 95% CI, 0.20-0.91; P < .03), with no differences between 6-hour TIB conditions. CONCLUSIONS Two consecutive weeks of nightly 6-hour TIB does not accelerate or improve antidepressant response. Further research is needed to determine whether adequate sleep opportunity is important to antidepressant treatment response. TRIAL REGISTRATION ClinicalTrials.gov identifier: NCT01545843.
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Castelnovo A, Riedner BA, Smith RF, Tononi G, Boly M, Benca RM. Scalp and Source Power Topography in Sleepwalking and Sleep Terrors: A High-Density EEG Study. Sleep 2016; 39:1815-1825. [PMID: 27568805 DOI: 10.5665/sleep.6162] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2016] [Accepted: 06/06/2016] [Indexed: 11/03/2022] Open
Abstract
STUDY OBJECTIVES To examine scalp and source power topography in sleep arousals disorders (SADs) using high-density EEG (hdEEG). METHODS Fifteen adult subjects with sleep arousal disorders (SADs) and 15 age- and gender-matched good sleeping healthy controls were recorded in a sleep laboratory setting using a 256 channel EEG system. RESULTS Scalp EEG analysis of all night NREM sleep revealed a localized decrease in slow wave activity (SWA) power (1-4 Hz) over centro-parietal regions relative to the rest of the brain in SADs compared to good sleeping healthy controls. Source modelling analysis of 5-minute segments taken from N3 during the first half of the night revealed that the local decrease in SWA power was prominent at the level of the cingulate, motor, and sensori-motor associative cortices. Similar patterns were also evident during REM sleep and wake. These differences in local sleep were present in the absence of any detectable clinical or electrophysiological sign of arousal. CONCLUSIONS Overall, results suggest the presence of local sleep differences in the brain of SADs patients during nights without clinical episodes. The persistence of similar topographical changes in local EEG power during REM sleep and wakefulness points to trait-like functional changes that cross the boundaries of NREM sleep. The regions identified by source imaging are consistent with the current neurophysiological understanding of SADs as a disorder caused by local arousals in motor and cingulate cortices. Persistent localized changes in neuronal excitability may predispose affected subjects to clinical episodes.
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Affiliation(s)
- Anna Castelnovo
- Department of Health Sciences, Università degli Studi di Milano, Milan, Italy.,University of Wisconsin School of Medicine and Public Health, Department of Psychiatry, Madison WI
| | - Brady A Riedner
- University of Wisconsin School of Medicine and Public Health, Department of Psychiatry, Madison WI
| | - Richard F Smith
- University of Wisconsin School of Medicine and Public Health, Department of Psychiatry, Madison WI
| | - Giulio Tononi
- University of Wisconsin School of Medicine and Public Health, Department of Psychiatry, Madison WI
| | - Melanie Boly
- University of Wisconsin School of Medicine and Public Health, Department of Psychiatry, Madison WI
| | - Ruth M Benca
- University of Wisconsin School of Medicine and Public Health, Department of Psychiatry, Madison WI
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Lucey BP, Mcleland JS, Toedebusch CD, Boyd J, Morris JC, Landsness EC, Yamada K, Holtzman DM. Comparison of a single-channel EEG sleep study to polysomnography. J Sleep Res 2016; 25:625-635. [PMID: 27252090 DOI: 10.1111/jsr.12417] [Citation(s) in RCA: 85] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2015] [Accepted: 03/21/2016] [Indexed: 11/27/2022]
Abstract
An accurate home sleep study to assess electroencephalography (EEG)-based sleep stages and EEG power would be advantageous for both clinical and research purposes, such as for longitudinal studies measuring changes in sleep stages over time. The purpose of this study was to compare sleep scoring of a single-channel EEG recorded simultaneously on the forehead against attended polysomnography. Participants were recruited from both a clinical sleep centre and a longitudinal research study investigating cognitively normal ageing and Alzheimer's disease. Analysis for overall epoch-by-epoch agreement found strong and substantial agreement between the single-channel EEG compared to polysomnography (κ = 0.67). Slow wave activity in the frontal regions was also similar when comparing the single-channel EEG device to polysomnography. As expected, Stage N1 showed poor agreement (sensitivity 0.2) due to lack of occipital electrodes. Other sleep parameters, such as sleep latency and rapid eye movement (REM) onset latency, had decreased agreement. Participants with disrupted sleep consolidation, such as from obstructive sleep apnea, also had poor agreement. We suspect that disagreement in sleep parameters between the single-channel EEG and polysomnography is due partially to altered waveform morphology and/or poorer signal quality in the single-channel derivation. Our results show that single-channel EEG provides comparable results to polysomnography in assessing REM, combined Stages N2 and N3 sleep and several other parameters, including frontal slow wave activity. The data establish that single-channel EEG can be a useful research tool.
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Affiliation(s)
- Brendan P Lucey
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA.,Hope Center for Neurological Disorders, Washington University School of Medicine, St Louis, MO, USA
| | - Jennifer S Mcleland
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
| | - Cristina D Toedebusch
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
| | - Jill Boyd
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
| | - John C Morris
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA.,Hope Center for Neurological Disorders, Washington University School of Medicine, St Louis, MO, USA.,Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St Louis, MO, USA
| | - Eric C Landsness
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
| | - Kelvin Yamada
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA.,Hope Center for Neurological Disorders, Washington University School of Medicine, St Louis, MO, USA
| | - David M Holtzman
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA.,Hope Center for Neurological Disorders, Washington University School of Medicine, St Louis, MO, USA.,Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St Louis, MO, USA
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46
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Jones BJ, Schultz KS, Adams S, Baran B, Spencer RMC. Emotional bias of sleep-dependent processing shifts from negative to positive with aging. Neurobiol Aging 2016; 45:178-189. [PMID: 27459938 DOI: 10.1016/j.neurobiolaging.2016.05.019] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2015] [Revised: 05/04/2016] [Accepted: 05/19/2016] [Indexed: 11/15/2022]
Abstract
Age-related memory decline has been proposed to result partially from impairments in memory consolidation over sleep. However, such decline may reflect a shift toward selective processing of positive information with age rather than impaired sleep-related mechanisms. In the present study, young and older adults viewed negative and neutral pictures or positive and neutral pictures and underwent a recognition test after sleep or wake. Subjective emotional reactivity and affect were also measured. Compared with waking, sleep preserved valence ratings and memory for positive but not negative pictures in older adults and negative but not positive pictures in young adults. In older adults, memory for positive pictures was associated with slow wave sleep. Furthermore, slow wave sleep predicted positive affect in older adults but was inversely related to positive affect in young adults. These relationships were strongest for older adults with high memory for positive pictures and young adults with high memory for negative pictures. Collectively, these results indicate preserved but selective sleep-dependent memory processing with healthy aging that may be biased to enhance emotional well-being.
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Affiliation(s)
- Bethany J Jones
- Department of Psychological & Brain Sciences, University of Massachusetts, Amherst, MA 01002
| | - Kurt S Schultz
- Department of Psychological & Brain Sciences, University of Massachusetts, Amherst, MA 01002
- Commonwealth Honors College, University of Massachusetts, Amherst, MA 01002
| | - Sydney Adams
- Department of Psychological & Brain Sciences, University of Massachusetts, Amherst, MA 01002
- Commonwealth Honors College, University of Massachusetts, Amherst, MA 01002
| | - Bengi Baran
- Department of Psychological & Brain Sciences, University of Massachusetts, Amherst, MA 01002
| | - Rebecca M C Spencer
- Department of Psychological & Brain Sciences, University of Massachusetts, Amherst, MA 01002
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47
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Iorfino F, Hickie IB, Lee RSC, Lagopoulos J, Hermens DF. The underlying neurobiology of key functional domains in young people with mood and anxiety disorders: a systematic review. BMC Psychiatry 2016; 16:156. [PMID: 27215830 PMCID: PMC4878058 DOI: 10.1186/s12888-016-0852-3] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2015] [Accepted: 05/08/2016] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Mood and anxiety disorders are leading causes of disability and mortality, due largely to their onset during adolescence and young adulthood and broader impact on functioning. Key factors that are associated with disability and these disorders in young people are social and economic participation (e.g. education, employment), physical health, suicide and self-harm behaviours, and alcohol and substance use. A better understanding of the objective markers (i.e. neurobiological parameters) associated with these factors is important for the development of effective early interventions that reduce the impact of disability and illness persistence. METHODS We systematically reviewed the literature for neurobiological parameters (i.e. neuropsychology, neuroimaging, sleep-wake and circadian biology, neurophysiology and metabolic measures) associated with functional domains in young people (12 to 30 years) with mood and/or anxiety disorders. RESULTS Of the one hundred and thirty-four studies selected, 7.6 % investigated social and economic participation, 2.1 % physical health, 15.3 % suicide and self-harm behaviours, 6.9 % alcohol and substance use, whereas the majority (68.1 %) focussed on clinical syndrome. CONCLUSIONS Despite the predominance of studies that solely examine the clinical syndrome of young people the literature also provides evidence of distinct associations among objective measures (indexing various aspects of brain circuitry) and other functional domains. We suggest that a shift in focus towards characterising the mechanisms that underlie and/or mediate multiple functional domains will optimise personalised interventions and improve illness trajectories.
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Affiliation(s)
- Frank Iorfino
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, 94 Mallet Street, Camperdown, NSW, 2050, Australia
| | - Ian B Hickie
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, 94 Mallet Street, Camperdown, NSW, 2050, Australia
| | - Rico S C Lee
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, 94 Mallet Street, Camperdown, NSW, 2050, Australia
| | - Jim Lagopoulos
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, 94 Mallet Street, Camperdown, NSW, 2050, Australia
| | - Daniel F Hermens
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, 94 Mallet Street, Camperdown, NSW, 2050, Australia.
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48
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Riedner BA, Goldstein MR, Plante DT, Rumble ME, Ferrarelli F, Tononi G, Benca RM. Regional Patterns of Elevated Alpha and High-Frequency Electroencephalographic Activity during Nonrapid Eye Movement Sleep in Chronic Insomnia: A Pilot Study. Sleep 2016; 39:801-12. [PMID: 26943465 DOI: 10.5665/sleep.5632] [Citation(s) in RCA: 71] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2015] [Accepted: 11/26/2015] [Indexed: 12/23/2022] Open
Abstract
STUDY OBJECTIVES To examine nonrapid eye movement (NREM) sleep in insomnia using high-density electroencephalography (EEG). METHODS All-night sleep recordings with 256 channel high-density EEG were analyzed for 8 insomnia subjects (5 females) and 8 sex and age-matched controls without sleep complaints. Spectral analyses were conducted using unpaired t-tests and topographical differences between groups were assessed using statistical non-parametric mapping. Five minute segments of deep NREM sleep were further analyzed using sLORETA cortical source imaging. RESULTS The initial topographic analysis of all-night NREM sleep EEG revealed that insomnia subjects had more high-frequency EEG activity (> 16 Hz) compared to good sleeping controls and that the difference between groups was widespread across the scalp. In addition, the analysis also showed that there was a more circumscribed difference in theta (4-8 Hz) and alpha (8-12 Hz) power bands between groups. When deep NREM sleep (N3) was examined separately, the high-frequency difference between groups diminished, whereas the higher regional alpha activity in insomnia subjects persisted. Source imaging analysis demonstrated that sensory and sensorimotor cortical areas consistently exhibited elevated levels of alpha activity during deep NREM sleep in insomnia subjects relative to good sleeping controls. CONCLUSIONS These results suggest that even during the deepest stage of sleep, sensory and sensorimotor areas in insomnia subjects may still be relatively active compared to control subjects and to the rest of the sleeping brain.
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Affiliation(s)
- Brady A Riedner
- University of Wisconsin School of Medicine and Public Health, Department of Psychiatry, Madison, WI
| | - Michael R Goldstein
- University of Wisconsin School of Medicine and Public Health, Department of Psychiatry, Madison, WI.,University of Arizona, Department of Psychology, Tucson, AZ
| | - David T Plante
- University of Wisconsin School of Medicine and Public Health, Department of Psychiatry, Madison, WI
| | - Meredith E Rumble
- University of Wisconsin School of Medicine and Public Health, Department of Psychiatry, Madison, WI
| | - Fabio Ferrarelli
- University of Wisconsin School of Medicine and Public Health, Department of Psychiatry, Madison, WI
| | - Giulio Tononi
- University of Wisconsin School of Medicine and Public Health, Department of Psychiatry, Madison, WI
| | - Ruth M Benca
- University of Wisconsin School of Medicine and Public Health, Department of Psychiatry, Madison, WI
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49
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Borbély AA, Daan S, Wirz-Justice A, Deboer T. The two-process model of sleep regulation: a reappraisal. J Sleep Res 2016; 25:131-43. [PMID: 26762182 DOI: 10.1111/jsr.12371] [Citation(s) in RCA: 734] [Impact Index Per Article: 91.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2015] [Accepted: 11/05/2015] [Indexed: 01/01/2023]
Abstract
In the last three decades the two-process model of sleep regulation has served as a major conceptual framework in sleep research. It has been applied widely in studies on fatigue and performance and to dissect individual differences in sleep regulation. The model posits that a homeostatic process (Process S) interacts with a process controlled by the circadian pacemaker (Process C), with time-courses derived from physiological and behavioural variables. The model simulates successfully the timing and intensity of sleep in diverse experimental protocols. Electrophysiological recordings from the suprachiasmatic nuclei (SCN) suggest that S and C interact continuously. Oscillators outside the SCN that are linked to energy metabolism are evident in SCN-lesioned arrhythmic animals subjected to restricted feeding or methamphetamine administration, as well as in human subjects during internal desynchronization. In intact animals these peripheral oscillators may dissociate from the central pacemaker rhythm. A sleep/fast and wake/feed phase segregate antagonistic anabolic and catabolic metabolic processes in peripheral tissues. A deficiency of Process S was proposed to account for both depressive sleep disturbances and the antidepressant effect of sleep deprivation. The model supported the development of novel non-pharmacological treatment paradigms in psychiatry, based on manipulating circadian phase, sleep and light exposure. In conclusion, the model remains conceptually useful for promoting the integration of sleep and circadian rhythm research. Sleep appears to have not only a short-term, use-dependent function; it also serves to enforce rest and fasting, thereby supporting the optimization of metabolic processes at the appropriate phase of the 24-h cycle.
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Affiliation(s)
- Alexander A Borbély
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
| | - Serge Daan
- Centre for Behaviour and Neuroscience, University of Groningen, Groningen, the Netherlands
| | - Anna Wirz-Justice
- Centre for Chronobiology, University of Basel Psychiatric Clinics, Basel, Switzerland
| | - Tom Deboer
- Laboratory for Neurophysiology, Department of Molecular Cell Biology, Leiden University Medical Center, Leiden, the Netherlands
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50
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Abstract
The article provides an overview of common and differentiating self-reported and objective sleep disturbances seen in mood-disordered populations. The importance of considering sleep disturbances in the context of mood disorders is emphasized, because a large body of evidence supports the notion that sleep disturbances are a risk factor for onset, exacerbation, and relapse of mood disorders. In addition, potential mechanisms for sleep disturbance in depression, other primary sleep disorders that often occur with mood disorders, effects of antidepressant and mood-stabilizing drugs on sleep, and the adjunctive effect of treating sleep in patients with mood disorders are discussed.
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Affiliation(s)
- Meredith E Rumble
- Department of Psychiatry, University of Wisconsin, 6001 Research Park Boulevard, Madison, WI 53719, USA.
| | - Kaitlin Hanley White
- Department of Psychiatry, University of Wisconsin, 6001 Research Park Boulevard, Madison, WI 53719, USA
| | - Ruth M Benca
- Department of Psychiatry, University of Wisconsin, 6001 Research Park Boulevard, Madison, WI 53719, USA
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