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Wunderlin M, Zeller CJ, Senti SR, Fehér KD, Suppiger D, Wyss P, Koenig T, Teunissen CE, Nissen C, Klöppel S, Züst MA. Acoustic stimulation during sleep predicts long-lasting increases in memory performance and beneficial amyloid response in older adults. Age Ageing 2023; 52:afad228. [PMID: 38163288 PMCID: PMC10758173 DOI: 10.1093/ageing/afad228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND Sleep and neurodegeneration are assumed to be locked in a bi-directional vicious cycle. Improving sleep could break this cycle and help to prevent neurodegeneration. We tested multi-night phase-locked acoustic stimulation (PLAS) during slow wave sleep (SWS) as a non-invasive method to improve SWS, memory performance and plasma amyloid levels. METHODS 32 healthy older adults (agemean: 68.9) completed a between-subject sham-controlled three-night intervention, preceded by a sham-PLAS baseline night. RESULTS PLAS induced increases in sleep-associated spectral-power bands as well as a 24% increase in slow wave-coupled spindles, known to support memory consolidation. There was no significant group-difference in memory performance or amyloid-beta between the intervention and control group. However, the magnitude of PLAS-induced physiological responses were associated with memory performance up to 3 months post intervention and beneficial changes in plasma amyloid. Results were exclusive to the intervention group. DISCUSSION Multi-night PLAS is associated with long-lasting benefits in memory and metabolite clearance in older adults, rendering PLAS a promising tool to build upon and develop long-term protocols for the prevention of cognitive decline.
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Affiliation(s)
- Marina Wunderlin
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, 3000 Bern, Switzerland
- Graduate School for Health Sciences, University of Bern, 3012 Bern, Switzerland
| | - Céline Jacqueline Zeller
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, 3000 Bern, Switzerland
- Graduate School for Health Sciences, University of Bern, 3012 Bern, Switzerland
| | - Samira Rafaela Senti
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, 3000 Bern, Switzerland
| | - Kristoffer Daniel Fehér
- University Hospital of Psychiatry and Psychotherapy, University of Bern, 3000 Bern, Switzerland
| | - Debora Suppiger
- Department of Neonatology, University Hospital Zurich and University of Zurich, 8006 Zürich, Switzerland
| | - Patric Wyss
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, 3000 Bern, Switzerland
| | - Thomas Koenig
- University Hospital of Psychiatry and Psychotherapy, University of Bern, 3000 Bern, Switzerland
| | - Charlotte Elisabeth Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Neurodegeneration, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, Netherlands
| | - Christoph Nissen
- University Hospital of Psychiatry and Psychotherapy, University of Bern, 3000 Bern, Switzerland
- Division of Psychiatric Specialties, Geneva University Hospitals (HUG), 1205 Geneva, Switzerland
| | - Stefan Klöppel
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, 3000 Bern, Switzerland
| | - Marc Alain Züst
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, 3000 Bern, Switzerland
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2
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Zheng S, Feng S, Yao H, Dong L, Feng Z, Liu X, Zhang B, Jia H, Ning Y. Altered functional connectivity after acute sleep deprivation reveals potential locations for noninvasive brain stimulation techniques. Sleep Med 2023; 110:212-219. [PMID: 37634325 DOI: 10.1016/j.sleep.2023.08.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 07/18/2023] [Accepted: 08/19/2023] [Indexed: 08/29/2023]
Abstract
BACKGROUNDS Non-invasive brain stimulation (NIBS) techniques are emerging as efficacious treatments for sleep deprivation (SD). However, the stimulation location of NIBS (e.g. transcranial magnetic stimulation and transcranial direct current stimulation) on intervening acute SD is limited in previous studies. In this study, we aimed to investigate potentially effective targets of NIBS on intervening acute SD. METHODS We firstly performed a meta-analysis of 95 functional magnetic resonance imaging studies to find SD-related brain regions as regions of interest (ROI). Subsequently, we used resting-state functional connectivity analysis in 32 young individuals suffering from 24 h SD to identify brain surface regions associated with the ROIs. Finally, we applied 10-20 system coordinates to locate scalp sites for NIBS corresponding to the brain surface regions. RESULTS We identified the bilateral dorsolateral prefrontal cortex, bilateral inferior frontal gyrus, left supplementary motor area, precentral, right precuneus, bilateral inferior parietal gyrus, right middle temporal gyrus, and superior frontal gyrus as potential targets of NIBS for intervening SD. The 10-20 system coordinates corresponding to these brain surface regions were identified as potential sites for NIBS. CONCLUSIONS In conclusion, we identified several potential targets which could provide alternative stimulation locations for the use of NIBS on young patients suffering from acute SD.
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Affiliation(s)
- Sisi Zheng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Sitong Feng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Hao Yao
- Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Linrui Dong
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Zhengtian Feng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Xinzi Liu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Binlong Zhang
- Department of Acupuncture and Moxibustion, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
| | - Hongxiao Jia
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China.
| | - Yanzhe Ning
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China.
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3
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Richter K, Kellner S, Licht C. rTMS in mental health disorders. FRONTIERS IN NETWORK PHYSIOLOGY 2023; 3:943223. [PMID: 37577037 PMCID: PMC10417823 DOI: 10.3389/fnetp.2023.943223] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 06/28/2023] [Indexed: 08/15/2023]
Abstract
Transcranial magnetic stimulation (TMS) is an innovative and non-invasive technique used in the diagnosis and treatment of psychiatric and neurological disorders. Repetitive TMS (rTMS) can modulate neuronal activity, neuroplasticity and arousal of the waking and sleeping brain, and, more generally, overall mental health. Numerous studies have examined the predictors of the efficacy of rTMS on clinical outcome variables in various psychiatric disorders. These predictors often encompass the stimulated brain region's location, electroencephalogram (EEG) activity patterns, potential morphological and neurophysiological anomalies, and individual patient's response to treatment. Most commonly, rTMS is used in awake patients with depression, catatonia, and tinnitus. Interestingly, rTMS has also shown promise in inducing slow-wave oscillations in insomnia patients, opening avenues for future research into the potential beneficial effects of these oscillations on reports of non-restorative sleep. Furthermore, neurophysiological measures emerge as potential, disease-specific biomarkers, aiding in predicting treatment response and monitoring post-treatment changes. The study posits the convergence of neurophysiological biomarkers and individually tailored rTMS treatments as a gateway to a new era in psychiatric care. The potential of rTMS to induce slow-wave activity also surfaces as a significant contribution to personalized treatment approaches. Further investigations are called for to validate the imaging and electrophysiological biomarkers associated with rTMS. In conclusion, the potential for rTMS to significantly redefine treatment strategies through personalized approaches could enhance the outcomes in neuropsychiatric disorders.
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Affiliation(s)
- Kneginja Richter
- Paracelsus Medical Private University, Nuremberg, Germany
- Department for Social Sciences, Georg Simon Ohm University of Applied Sciences Nuremberg, Nuremberg, Germany
- Faculty of Medical Sciences, Goce Delcev University, Stip, North Macedonia
| | - Stefanie Kellner
- Department for Social Sciences, Georg Simon Ohm University of Applied Sciences Nuremberg, Nuremberg, Germany
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4
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Detection of neuronal OFF periods as low amplitude neural activity segments. BMC Neurosci 2023; 24:13. [PMID: 36809980 PMCID: PMC9942432 DOI: 10.1186/s12868-023-00780-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 01/27/2023] [Indexed: 02/23/2023] Open
Abstract
BACKGROUND During non-rapid eye movement sleep (NREM), alternating periods of synchronised high (ON period) and low (OFF period) neuronal activity are associated with high amplitude delta band (0.5-4 Hz) oscillations in neocortical electrophysiological signals termed slow waves. As this oscillation is dependent crucially on hyperpolarisation of cortical cells, there is an interest in understanding how neuronal silencing during OFF periods leads to the generation of slow waves and whether this relationship changes between cortical layers. A formal, widely adopted definition of OFF periods is absent, complicating their detection. Here, we grouped segments of high frequency neural activity containing spikes, recorded as multiunit activity from the neocortex of freely behaving mice, on the basis of amplitude and asked whether the population of low amplitude (LA) segments displayed the expected characteristics of OFF periods. RESULTS Average LA segment length was comparable to previous reports for OFF periods but varied considerably, from as short as 8 ms to > 1 s. LA segments were longer and occurred more frequently in NREM but shorter LA segments also occurred in half of rapid eye movement sleep (REM) epochs and occasionally during wakefulness. LA segments in all states were associated with a local field potential (LFP) slow wave that increased in amplitude with LA segment duration. We found that LA segments > 50 ms displayed a homeostatic rebound in incidence following sleep deprivation whereas short LA segments (< 50 ms) did not. The temporal organisation of LA segments was more coherent between channels located at a similar cortical depth. CONCLUSION We corroborate previous studies showing neural activity signals contain uniquely identifiable periods of low amplitude with distinct characteristics from the surrounding signal known as OFF periods and attribute the new characteristics of vigilance-state-dependent duration and duration-dependent homeostatic response to this phenomenon. This suggests that ON/OFF periods are currently underdefined and that their appearance is less binary than previously considered, instead representing a continuum.
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5
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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] [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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6
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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] [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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7
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Chalah MA, Grigorescu C, Kümpfel T, Lefaucheur JP, Padberg F, Palm U, Ayache SS. The effects of transcranial direct current stimulation on sleep in patients with multiple sclerosis-A pilot study. Neurophysiol Clin 2022; 52:28-32. [PMID: 34996695 DOI: 10.1016/j.neucli.2021.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 12/10/2021] [Accepted: 12/11/2021] [Indexed: 10/19/2022] Open
Abstract
BACKGROUND Sleep complaints are commonly reported by patients with multiple sclerosis (PwMS). Several pharmacological and alternative interventions have been tried, but are usually faced by limited efficacy. Hence, exploring other methods such as transcranial direct current stimulation (tDCS), might be of interest. The aim of this study was to assess the effects of bifrontal tDCS on subjective (i.e., Epworth Sleepiness Scale (ESS)) and objective sleep measures (i.e., actigraphy). METHODS Seven patients completed the study. Patients randomly received two blocks of five daily sessions each in a crossover design (active and sham, with a washout interval of three weeks). The anode and cathode were placed over the left and right dorsolateral prefrontal cortices, respectively. Sleep assessment included ESS, sleep onset latency, total sleep duration, time in bed, sleep efficiency, waking after sleep onset, and number of awakenings. RESULTS Compared to baseline scores (11.14 ± 4.06), significant decrease in ESS was obtained after active intervention (7.86 ± 4.18; p = 0.011), but not after sham intervention (9.57 ± 5.62; p = 0.142). No significant changes were observed with regards to actigraphy measures. Sessions were well tolerated, and no serious side-effects were reported at any time. CONCLUSION Bifrontal tDCS resulted in significant improvement in daytime sleepiness, but did not yield any effect on objective sleep measures in PwMS. This discrepency might be explained by the modest association that could exist between objective and subjective sleep measures. In addition, it could be assumed that modulating objective sleep measures would require a larger sample size, more stimulation sessions, or modulation of other cortical areas.
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Affiliation(s)
- Moussa A Chalah
- Univ Paris Est Creteil, Excitabilité Nerveuse et Thérapeutique (ENT), EA 4391, F-94010 Creteil, France; AP-HP, Henri Mondor university hospital, Department of Clinical Neurophysiology, DMU FIxIT, F-94010 Creteil, France
| | - Christina Grigorescu
- Dept. of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Tania Kümpfel
- Institute for Clinical Neuroimmunology, Hospital of the University of Munich, Munich, Germany
| | - Jean-Pascal Lefaucheur
- Univ Paris Est Creteil, Excitabilité Nerveuse et Thérapeutique (ENT), EA 4391, F-94010 Creteil, France; AP-HP, Henri Mondor university hospital, Department of Clinical Neurophysiology, DMU FIxIT, F-94010 Creteil, France
| | - Frank Padberg
- Dept. of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Ulrich Palm
- Dept. of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany; Medical Park Chiemseeblick, Bernau, Germany
| | - Samar S Ayache
- Univ Paris Est Creteil, Excitabilité Nerveuse et Thérapeutique (ENT), EA 4391, F-94010 Creteil, France; AP-HP, Henri Mondor university hospital, Department of Clinical Neurophysiology, DMU FIxIT, F-94010 Creteil, France
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8
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Abstract
Sleep disturbances and depression are closely linked and share a bidirectional relationship. These interconnections can inform the pathophysiology underlying each condition. Insomnia is an established and modifiable risk factor for depression, the treatment of which offers the critical opportunity to prevent major depressive episodes, a paradigm-shifting model for psychiatry. Identification of occult sleep disorders may also improve outcomes in treatment-resistant depression. Sleep alterations and manipulations may additionally clarify the mechanisms that underlie rapid-acting antidepressant therapies. Both sleep disturbance and depression are heterogeneous processes, and evolving standards in psychiatric research that consider the transdiagnostic components of each are more likely to lead to translational progress at their nexus. Emerging tools to objectively quantify sleep and its disturbances in the home environment offer great potential to advance clinical care and research, but nascent technologies require further advances and validation prior to widespread application at the interface of sleep and depression.
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Affiliation(s)
- David T Plante
- Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison
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9
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Chance Nicholson W, Pfeiffer K. Sleep Disorders and Mood, Anxiety, and Post-Traumatic Stress Disorders: Overview of Clinical Treatments in the Context of Sleep Disturbances. Nurs Clin North Am 2021; 56:229-247. [PMID: 34023118 DOI: 10.1016/j.cnur.2021.02.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Sleep disruptions are frequently reported by persons with mood, anxiety, and post-traumatic stress disorders, and co-occur with psychiatric disorders. There is evidence that sleep disorders can predict the likelihood of developing a future psychiatric disorder and exacerbate existing symptoms. Understanding the inter-relationships between sleep and psychiatric disorders is important. The primary goals of this article are to describe the interactions between psychiatric and sleep disorders in the context of sleep disturbances, underscore the bidirectional effects of mental health treatments on sleep disorder outcomes, and provide general recommendations to optimize treatment in the context of sleep disturbances.
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Affiliation(s)
- W Chance Nicholson
- Nell Hodgson Woodruff School of Nursing, Emory University, 1520 Clifton Road, Atlanta, GA 30322, USA.
| | - Kate Pfeiffer
- Nell Hodgson Woodruff School of Nursing, Emory University, 1520 Clifton Road, Atlanta, GA 30322, USA
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10
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Towards the endotyping of the sleep-pain interaction: a topical review on multitarget strategies based on phenotypic vulnerabilities and putative pathways. Pain 2021; 162:1281-1288. [PMID: 33105436 DOI: 10.1097/j.pain.0000000000002124] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 10/20/2020] [Indexed: 12/17/2022]
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11
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Walther S, Morrens M. What Can Be Learned from Dimensional Perspectives on Psychiatry? Neuropsychobiology 2021; 79:249-250. [PMID: 32512563 DOI: 10.1159/000508762] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 05/15/2020] [Indexed: 11/19/2022]
Affiliation(s)
- Sebastian Walther
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland,
| | - Manuel Morrens
- Collaborative Antwerp Psychiatric Research Institute (CAPRI), Faculty of Medicine and Health Sciences, Campus Drie Eiken, University of Antwerp, Antwerp, Belgium.,University Department of Psychiatry, Campus Duffel, Duffel, Belgium
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12
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Fehér KD, Wunderlin M, Maier JG, Hertenstein E, Schneider CL, Mikutta C, Züst MA, Klöppel S, Nissen C. Shaping the slow waves of sleep: A systematic and integrative review of sleep slow wave modulation in humans using non-invasive brain stimulation. Sleep Med Rev 2021; 58:101438. [PMID: 33582581 DOI: 10.1016/j.smrv.2021.101438] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Revised: 10/14/2020] [Accepted: 11/10/2020] [Indexed: 01/19/2023]
Abstract
The experimental study of electroencephalographic slow wave sleep (SWS) stretches over more than half a century and has corroborated its importance for basic physiological processes, such as brain plasticity, metabolism and immune system functioning. Alterations of SWS in aging or pathological conditions suggest that modulating SWS might constitute a window for clinically relevant interventions. This work provides a systematic and integrative review of SWS modulation through non-invasive brain stimulation in humans. A literature search using PubMed, conducted in May 2020, identified 3220 studies, of which 82 fulfilled inclusion criteria. Three approaches have been adopted to modulate the macro- and microstructure of SWS, namely auditory, transcranial electrical and transcranial magnetic stimulation. Our current knowledge about the modulatory mechanisms, the space of stimulation parameters and the physiological and behavioral effects are reported and evaluated. The integration of findings suggests that sleep slow wave modulation bears the potential to promote our understanding of the functions of SWS and to develop new treatments for conditions of disrupted SWS.
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Affiliation(s)
- Kristoffer D Fehér
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Switzerland
| | - Marina Wunderlin
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Switzerland
| | - Jonathan G Maier
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Switzerland
| | - Elisabeth Hertenstein
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Switzerland
| | - Carlotta L Schneider
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Switzerland
| | - Christian Mikutta
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Switzerland; Privatklinik Meiringen, Meiringen, Switzerland
| | - Marc A Züst
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Switzerland
| | - Stefan Klöppel
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Switzerland
| | - Christoph Nissen
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Switzerland.
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13
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Cheng JX, Zhao X, Qiu J, Jiang Y, Ren J, Sun S, Wang R, Su C. Effects of transcranial direct current stimulation on performance and recovery sleep during acute sleep deprivation: a pilot study. Sleep Med 2021; 79:124-133. [PMID: 33524838 DOI: 10.1016/j.sleep.2021.01.014] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 01/06/2021] [Accepted: 01/08/2021] [Indexed: 12/26/2022]
Abstract
BACKGROUND Previous studies claimed that transcranial direct current stimulation (tDCS) over the left dorsolateral prefrontal cortex (DLPFC) improves cognition in neuropsychiatric patients with cognitive impairment, schizophrenia, organic hypersomnia, etc, but few studies evaluated the effects of tDCS on cognitive improvement following sleep deprivation. The objective of this study was to determine whether tDCS (anode on the left DLPFC and cathode on the right DLPFC with a 2-mA current for 30 min) improves cognition following sleep deprivation. METHODS Seven participants received active tDCS and eight participants received sham tDCS when their cognition declined during at least 30 h of sleep deprivation. All participants completed the psychomotor vigilance task, Trail Making Tests A and B, digit cancellation test, Stroop color word test, the Brief Visuospatial Memory Test-Revised and a procedural game every 2 h during the sleep deprivation and after recovery sleep. RESULTS Compared to the sham stimulation, active tDCS (anode on the left DLPFC and cathode on the right DLPFC at a 2-mA current for 30 min) had beneficial effects on attention, memory, executive function, processing speed, and the ability to inhibit cognitive interference, and improved in subjective drowsiness and fatigue following sleep deprivation. The lasting effect of a single tDCS on cognition during sleep deprivation was greater than 2 h. In all participants, tDCS did not disturb recovery sleep, and cognitive performance recovered to the baseline levels after recovery sleep. CONCLUSIONS The study results indicate that tDCS can improve cognition following sleep deprivation and does not disturb recovery sleep or cognitive performance after recovery sleep. The possible pathophysiological mechanisms might be related to the modulation of the corticothalamic pathway. We believe that tDCS can be applied in the treatment of sleep disorders involving sleepiness. TRIAL REGISTRATION NUMBER ChiCTR2000029420. DATE OF REGISTRATION 2020-1-31.
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Affiliation(s)
- Jin-Xiang Cheng
- Department of Neurology, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, Shaanxi Province, China.
| | - Xianchao Zhao
- Department of Neurology, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, Shaanxi Province, China
| | - Jian Qiu
- Department of Neurology, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, Shaanxi Province, China
| | - Yingcong Jiang
- Department of Neurology, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, Shaanxi Province, China
| | - Jiafeng Ren
- Department of Neurology, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, Shaanxi Province, China
| | - Shuyu Sun
- Department of Neurology, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, Shaanxi Province, China
| | - Rong Wang
- Department of Neurology, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, Shaanxi Province, China
| | - Changjun Su
- Department of Neurology, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, Shaanxi Province, China.
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