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Bressler S, Neely R, Yost RM, Wang D. A randomized controlled trial of alpha phase-locked auditory stimulation to treat symptoms of sleep onset insomnia. Sci Rep 2024; 14:13039. [PMID: 38844793 PMCID: PMC11156862 DOI: 10.1038/s41598-024-63385-1] [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: 06/27/2023] [Accepted: 05/28/2024] [Indexed: 06/09/2024] Open
Abstract
Sleep onset insomnia is a pervasive problem that contributes significantly to the poor health outcomes associated with insufficient sleep. Auditory stimuli phase-locked to slow-wave sleep oscillations have been shown to augment deep sleep, but it is unknown whether a similar approach can be used to accelerate sleep onset. The present randomized controlled crossover trial enrolled adults with objectively verified sleep onset latencies (SOLs) greater than 30 min to test the effect of auditory stimuli delivered at specific phases of participants' alpha oscillations prior to sleep onset. During the intervention week, participants wore an electroencephalogram (EEG)-enabled headband that delivered acoustic pulses timed to arrive anti-phase with alpha for 30 min (Stimulation). During the Sham week, the headband silently recorded EEG. The primary outcome was SOL determined by blinded scoring of EEG records. For the 21 subjects included in the analyses, stimulation had a significant effect on SOL according to a linear mixed effects model (p = 0.0019), and weekly average SOL decreased by 10.5 ± 15.9 min (29.3 ± 44.4%). These data suggest that phase-locked acoustic stimulation can be a viable alternative to pharmaceuticals to accelerate sleep onset in individuals with prolonged sleep onset latencies. Trial Registration: This trial was first registered on clinicaltrials.gov on 24/02/2023 under the name Sounds Locked to ElectroEncephalogram Phase For the Acceleration of Sleep Onset Time (SLEEPFAST), and assigned registry number NCT05743114.
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Affiliation(s)
- Scott Bressler
- Elemind Technologies, Inc., Cambridge, MA, USA
- Science and Research, Elemind Technologies, Inc., Cambridge, MA, 02139, USA
| | - Ryan Neely
- Elemind Technologies, Inc., Cambridge, MA, USA.
- Science and Research, Elemind Technologies, Inc., Cambridge, MA, 02139, USA.
| | - Ryan M Yost
- Elemind Technologies, Inc., Cambridge, MA, USA
- Science and Research, Elemind Technologies, Inc., Cambridge, MA, 02139, USA
| | - David Wang
- Elemind Technologies, Inc., Cambridge, MA, USA
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2
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Hassan A, Deshun Z. Nature's therapeutic power: a study on the psychophysiological effects of touching ornamental grass in Chinese women. JOURNAL OF HEALTH, POPULATION, AND NUTRITION 2024; 43:23. [PMID: 38310320 PMCID: PMC10838459 DOI: 10.1186/s41043-024-00514-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 01/25/2024] [Indexed: 02/05/2024]
Abstract
The health of city residents is at risk due to the high rate of urbanization and the extensive use of electronics. In the context of urbanization, individuals have become increasingly disconnected from nature, resulting in elevated stress levels among adults. The goal of this study was to investigate the physical and psychological benefits of spending time in nature. The benefits of touching real grass and artificial turf (the control activity) outdoors with the palm of the hand for five minutes were measured. Blood pressure and electroencephalography (EEG) as well as State-trait Anxiety Inventory (STAI) scores, and the semantic differential scale (SDM) were used to investigate psychophysiological responses. Touching real grass was associated with significant changes in brainwave rhythms and a reduction in both systolic and diastolic blood pressure compared to touching artificial turf. In addition, SDM scores revealed that touching real grass increased relaxation, comfort, and a sense of naturalness while decreasing anxiety levels. Compared to the control group, the experimental group had higher mean scores in both meditation and attentiveness. Our findings indicate that contact with real grass may reduce physiological and psychological stress in adults.
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Affiliation(s)
- Ahmad Hassan
- College of Architecture and Urban Planning, Tongji University, 1239 Siping Rd, Shanghai, People's Republic of China.
| | - Zhang Deshun
- College of Architecture and Urban Planning, Tongji University, 1239 Siping Rd, Shanghai, People's Republic of China.
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3
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Berra F, Fasiello E, Zucconi M, Casoni F, De Gennaro L, Ferini-Strambi L, Galbiati A. Neurophysiological Parameters Influencing Sleep-Wake Discrepancy in Insomnia Disorder: A Preliminary Analysis on Alpha Rhythm during Sleep Onset. Brain Sci 2024; 14:97. [PMID: 38275517 PMCID: PMC10813212 DOI: 10.3390/brainsci14010097] [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: 12/07/2023] [Revised: 01/15/2024] [Accepted: 01/17/2024] [Indexed: 01/27/2024] Open
Abstract
Sleep state misperception (SSM) is a common issue in insomnia disorder (ID), causing a discrepancy between objective and subjective sleep/wake time estimation and increased daytime impairments. In this context, the hyperarousal theory assumes that sustained central nervous system activation contributes to the SSM. This study investigates factors influencing SSM during sleep latency (SL) and total sleep time (TST). Objective polysomnographic sleep variables (the alpha density index, latency-to-sleep stages and the first K-complex, and Rapid Eye Movement (REM) arousal density) and subjective sleep indices, taken from sleep diaries, were analyzed in 16 ID patients. Correlation analyses revealed a positive association between the degree of SL misperception (SLm) and the percentage of epochs that contained a visually scored stereotyped alpha rhythm during objective SL. A regression analysis showed that the REM arousal density and alpha density index significantly predicted TST misperception (TSTm). Furthermore, the degree of SLm was associated with an increased probability of transitioning from stage 1 of non-REM sleep to wakefulness during subjective SL. These findings support the role of hyperarousal in SSM and highlight the importance of alpha activity in unravelling the heterogeneous underpinnings of SSM.
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Affiliation(s)
- Francesca Berra
- Department of Psychology, “Vita-Salute” San Raffaele University, 20132 Milan, Italy; (F.B.); (E.F.); (L.F.-S.)
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology–Sleep Disorders Center, 20132 Milan, Italy; (M.Z.); (F.C.)
| | - Elisabetta Fasiello
- Department of Psychology, “Vita-Salute” San Raffaele University, 20132 Milan, Italy; (F.B.); (E.F.); (L.F.-S.)
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology–Sleep Disorders Center, 20132 Milan, Italy; (M.Z.); (F.C.)
| | - Marco Zucconi
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology–Sleep Disorders Center, 20132 Milan, Italy; (M.Z.); (F.C.)
| | - Francesca Casoni
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology–Sleep Disorders Center, 20132 Milan, Italy; (M.Z.); (F.C.)
| | - Luigi De Gennaro
- Department of Psychology, Sapienza University of Rome, 00185 Rome, Italy;
- Body and Action Lab, IRCCS Fondazione Santa Lucia, 00179 Rome, Italy
| | - Luigi Ferini-Strambi
- Department of Psychology, “Vita-Salute” San Raffaele University, 20132 Milan, Italy; (F.B.); (E.F.); (L.F.-S.)
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology–Sleep Disorders Center, 20132 Milan, Italy; (M.Z.); (F.C.)
| | - Andrea Galbiati
- Department of Psychology, “Vita-Salute” San Raffaele University, 20132 Milan, Italy; (F.B.); (E.F.); (L.F.-S.)
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology–Sleep Disorders Center, 20132 Milan, Italy; (M.Z.); (F.C.)
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Reid MJ, Quigg M, Finan PH. Sleep-EEG in comorbid pain and insomnia: implications for the treatment of pain disorders. Pain Rep 2023; 8:e1101. [PMID: 37899939 PMCID: PMC10599985 DOI: 10.1097/pr9.0000000000001101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 05/20/2023] [Indexed: 10/31/2023] Open
Abstract
Introduction Patients with chronic pain experience a high prevalence of comorbid insomnia, which is associated with functional impairment. Recent advances in sleep electroencephalography (sleep-EEG) may clarify the mechanisms that link sleep and chronic pain. In this clinical update, we outline current advancements in sleep-EEG assessments for pain and provide research recommendations. Results Promising preliminary work suggests that sleep-EEG spectral bands, particularly beta, gamma, alpha, and delta power, may create candidate neurophysiological signatures of pain, and macro-architectural parameters (e.g., total sleep time, arousals, and sleep continuity) may facilitate EEG-derived sleep phenotyping and may enable future stratification in the treatment of pain. Conclusion Integration of measures obtained through sleep-EEG represent feasible and scalable approaches that could be adopted in the future. We provide research recommendations to progress the field towards a deeper understanding of their utility and potential future applications in clinical practice.
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Affiliation(s)
- Matthew J. Reid
- Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mark Quigg
- Department of Neurology, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Patrick H. Finan
- Department of Neurology, University of Virginia School of Medicine, Charlottesville, VA, USA
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Dikeos D, Wichniak A, Ktonas PY, Mikoteit T, Crönlein T, Eckert A, Kopřivová J, Ntafouli M, Spiegelhalder K, Hatzinger M, Riemann D, Soldatos C. The potential of biomarkers for diagnosing insomnia: Consensus statement of the WFSBP Task Force on Sleep Disorders. World J Biol Psychiatry 2023; 24:614-642. [PMID: 36880792 DOI: 10.1080/15622975.2023.2171479] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 12/30/2022] [Accepted: 01/17/2023] [Indexed: 03/08/2023]
Abstract
OBJECTIVES Thus far, the diagnosis of insomnia is based on purely clinical criteria. Although a broad range of altered physiological parameters has been identified in insomniacs, the evidence to establish their diagnostic usefulness is very limited. Purpose of this WFSBP Task Force consensus paper is to systematically evaluate a series of biomarkers as potential diagnostic tools for insomnia. METHODS A newly created grading system was used for assessing the validity of various measurements in establishing the diagnosis of insomnia; these measurements originated from relevant studies selected and reviewed by experts. RESULTS The measurements with the highest diagnostic performance were those derived from psychometric instruments. Biological measurements which emerged as potentially useful diagnostic instruments were polysomnography-derived cyclic alternating pattern, actigraphy, and BDNF levels, followed by heart rate around sleep onset, deficient melatonin rhythm, and certain neuroimaging patterns (mainly for the activity of frontal and pre-frontal cortex, hippocampus and basal ganglia); yet, these findings need replication, as well as establishment of commonly accepted methodology and diagnostic cut-off points. Routine polysomnography, EEG spectral analysis, heart rate variability, skin conductance, thermoregulation, oxygen consumption, HPA axis, and inflammation indices were not shown to be of satisfactory diagnostic value. CONCLUSIONS Apart from psychometric instruments which are confirmed to be the gold standard in diagnosing insomnia, six biomarkers emerge as being potentially useful for this purpose.
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Affiliation(s)
- Dimitris Dikeos
- First Department of Psychiatry, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Adam Wichniak
- Third Department of Psychiatry, Sleep Medicine Center, Institute of Psychiatry and Neurology, Warsaw, Poland
| | - Periklis Y Ktonas
- First Department of Psychiatry, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
- Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA
| | - Thorsten Mikoteit
- Psychiatric Services Solothurn, Faculty of Medicine, University of Basel, Solothurn, Switzerland
| | - Tatjana Crönlein
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
| | - Anne Eckert
- Neurobiology Lab for Brain Aging and Mental Health, Transfaculty Research Platform Molecular & Cognitive Neuroscience (MCN), University of Basel, Basel, Switzerland
| | - Jana Kopřivová
- National Institute of Mental Health, Klecany, Czechia
- Third Faculty of Medicine, Charles University, Prague, Czechia
| | - Maria Ntafouli
- First Department of Psychiatry, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Kai Spiegelhalder
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, Medical Centre, University of Freiburg, Freiburg, Germany
| | - Martin Hatzinger
- Psychiatric Services Solothurn, Faculty of Medicine, University of Basel, Solothurn, Switzerland
| | - Dieter Riemann
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, Medical Centre, University of Freiburg, Freiburg, Germany
| | - Constantin Soldatos
- First Department of Psychiatry, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
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The potential of electroencephalography coherence to predict the outcome of repetitive transcranial magnetic stimulation in insomnia disorder. J Psychiatr Res 2023; 160:56-63. [PMID: 36774831 DOI: 10.1016/j.jpsychires.2023.02.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 01/27/2023] [Accepted: 02/04/2023] [Indexed: 02/09/2023]
Abstract
BACKGROUND It is unknown whether repetitive Transcranial Magnetic Stimulation (rTMS) could improve sleep quality by modulating electroencephalography (EEG) connectivity of insomnia disorder (ID) patients. Great heterogeneity had been found in the clinical outcomes of rTMS for ID. The study aimed to investigate the potential mechanisms of rTMS therapy for ID and develop models to predict clinical outcomes. METHODS In Study 1, 50 ID patients were randomly divided into active and sham groups, and subjected to 20 sessions of treatment with 1 Hz rTMS over the left dorsolateral prefrontal cortex. EEG during awake, Polysomnography, and clinical assessment were collected and analyzed before and after rTMS. In Study 2, 120 ID patients were subjected to active rTMS stimulation and were then separated into optimal and sub-optimal groups due to the median of Pittsburgh Sleep Quality Index reduction rate. Machine learning models were developed based on baseline EEG coherence to predict rTMS treatment effects. RESULTS In Study 1, decreased EEG coherence in theta and alpha bands were observed after rTMS treatment, and changes in theta band (F7-O1) coherence were correlated with changes in sleep efficiency. In Study 2, baseline EEG coherence in theta, alpha, and beta bands showed the potential to predict the treatment effects of rTMS for ID. CONCLUSION rTMS improved sleep quality of ID patients by modulating the abnormal EEG coherence. Baseline EEG coherence between certain channels in theta, alpha, and beta bands could act as potential biomarkers to predict the therapeutic effects.
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McCarter SJ, Hagen PT, St Louis EK, Rieck TM, Haider CR, Holmes DR, Morgenthaler TI. Physiological markers of sleep quality: A scoping review. Sleep Med Rev 2022; 64:101657. [PMID: 35753151 DOI: 10.1016/j.smrv.2022.101657] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 05/16/2022] [Accepted: 05/29/2022] [Indexed: 10/18/2022]
Abstract
Understanding the associations between adequate sleep, performance and health outcomes is vital, yet a major limitation in the design and interpretation of studies of sleep and performance is the variability of subjective and objective markers used to assess sleep quality. The aim of this scoping review is to investigate how various physiological signals recorded during sleep or wakefulness relate to objective measures of cognitive or physical performance and subjectively perceived sleep quality to inform conceptual understanding of the elusive, amorphous, and multi-dimensional construct of sleep quality. We also aimed to suggest priorities for future areas of research in sleep quality and performance. We searched six databases ultimately yielding 439 studies after duplicate removal. Sixty-five studies were selected for full review. In general, correlations between objectively measured sleep and objective performance or subjectively assessed sleep quality were weak to moderate. Slow wave sleep was moderately correlated with better performance on tasks of vigilance, motor speed, and executive function as well as better subjective sleep quality and feeling well-rested, suggesting that slow wave sleep may be important for sleep quality and optimal daytime performance. However, these findings were inconsistent across studies. Increased sleep fragmentation was associated with poorer subjective sleep quality in both polysomnographic and actigraphic studies. Studies which simultaneously assessed physiologic sleep measures, performance measures and subjective sleep perception were few, limiting the ability to evaluate correlations between subjective and objective outcomes concurrently in the same individuals. Factors influencing the relationship between sleep quality and performance include circadian variability, sleep inertia, and mismatch between sleep stages studied and outcome measures of choice. Ultimately, the determination of "quality sleep" remains largely subjective and inconsistently quantifiable by current measures. Methods evaluating sleep as a continuous measure rather than traditional sleep stages may provide an intriguing approach to future studies of sleep and performance. Future well-designed studies using novel measures of sleep or multimodal ambulatory wearables assessing the three domains of sleep and performance (objective sleep physiology, objective performance, and subjective sleep quality) are needed to better define quality sleep.
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Affiliation(s)
- Stuart J McCarter
- Center for Sleep Medicine, Mayo Clinic and Foundation, Rochester, MN, USA; Department of Neurology, Mayo Clinic and Foundation, Rochester, MN, USA.
| | - Philip T Hagen
- Department of Internal Medicine, Mayo Clinic and Foundation, Rochester, MN, USA
| | - Erik K St Louis
- Center for Sleep Medicine, Mayo Clinic and Foundation, Rochester, MN, USA; Department of Neurology, Mayo Clinic and Foundation, Rochester, MN, USA; Department of Internal Medicine, Mayo Clinic and Foundation, Rochester, MN, USA
| | - Thomas M Rieck
- Mayo Clinic Healthy Living Program, Mayo Clinic and Foundation, Rochester, MN, USA
| | - Clifton R Haider
- Section of Biostatistics, Mayo Clinic and Foundation, Rochester, MN, USA
| | - David R Holmes
- Section of Biostatistics, Mayo Clinic and Foundation, Rochester, MN, USA
| | - Timothy I Morgenthaler
- Center for Sleep Medicine, Mayo Clinic and Foundation, Rochester, MN, USA; Department of Internal Medicine, Mayo Clinic and Foundation, Rochester, MN, USA; Department of Pulmonology, Mayo Clinic and Foundation, Rochester, MN, USA
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8
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Xie J, Wang L, Xiao C, Ying S, Ren J, Chen Z, Yu Y, Xu D, Yao D, Wu B, Liu T. Low Frequency Transcranial Alternating Current Stimulation Accelerates Sleep Onset Process. IEEE Trans Neural Syst Rehabil Eng 2021; 29:2540-2549. [PMID: 34851828 DOI: 10.1109/tnsre.2021.3131728] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
GOAL The aim of this study is to find a kind of low frequency oscillation transcranial alternating current stimulation, which is directly applied to the scalp epidermal, to stimulate the cerebral cortex with a large spatial range of electric field oscillation across the brain hemisphere, and then trigger the start of the Top-Down processing of sleep homeostasis, in the daytime nap. METHODS Thirty healthy subjects, to take naps, underwent an intervention of electrical stimulation at 5 Hz, applied to the dorsal lateral prefrontal cortex. The subjects in the experiments were strictly controlled, and opened their eyes when stimulation was transmitted. Subsequently, after 15 min transcranial alternating current stimulation, subjects entered the experimental procedure of sleep. Electroencephalograph was taken at baseline and during sleep. Behavioral indicators were also added to the experiment. RESULTS We found that the total power of Electroencephalograph activity in the theta band, as well as low-frequency power at 1-7 Hz, was significantly entrained and increased, and that alpha activity was attenuated faster and spindle activity active earlier. Even more, the transition from awake to Non-rapid eye movement stages occurs earlier. Alertness also decreased when the subjects woke up after brief sleep. CONCLUSION The intervention of low frequency brain rhythmic transcranial alternating current stimulation may induce accelerated effect on sleep onset process, thereby possibly alleviating the problems related to sleep disorders such as difficulty to reach the real sleep state quickly after lying down.
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Runnova A, Selskii A, Kiselev A, Shamionov R, Parsamyan R, Zhuravlev M. Changes in EEG Alpha Activity during Attention Control in Patients: Association with Sleep Disorders. J Pers Med 2021; 11:jpm11070601. [PMID: 34201953 PMCID: PMC8307584 DOI: 10.3390/jpm11070601] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 06/22/2021] [Accepted: 06/23/2021] [Indexed: 11/25/2022] Open
Abstract
We aimed to assess which quantitative EEG changes during daytime testing in patients with sleep disorder (primary insomnia and excessive daytime sleepiness groups). All experimental study participants were subjected to a long-term test for maintaining attention to sound stimuli, and their EEGs were recorded and then processed, using wavelet analysis, in order to estimate the power and frequency structure of alpha activity. In healthy subjects, the maximum increase in the alpha rhythm occurred near 9 Hz. Patients with primary insomnia were characterized by an increase in the amplitude of the alpha rhythm near 11 Hz. For subjects with sleep disorders, an increase in the amplitude of the alpha rhythm was observed in the entire frequency range (7.5–12.5 Hz), with a maximum increase at 9–10 Hz. Significant differences (p≤0.001) for changes in the alpha rhythm dynamics in the course of performing the attention test were observed in the frequency range of 7.5–10.5 Hz between the control group and patients with sleep disorders. The ratios of the alpha rhythm power values for passive stages with closed eyes before and after active stage were significantly different among the groups of healthy sleep volunteers, patients with primary insomnia, and patients with impaired sleep hygiene within the range of 9.5 to 12.5 Hz. The results of the current study supported the notion of a 24-h hyperarousal in primary insomnia.
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Affiliation(s)
- Anastasiya Runnova
- Department of Basic Research in Neurocardiology, Institute of Cardiological Research, Saratov State Medical University Named after V.I. Razumovsky, B. Kazachaya Str., 112, 410012 Saratov, Russia; (A.R.); (A.S.); (A.K.); (R.P.)
- Institute of Physics, Saratov State University, Astrakhanskaya Str., 83, 410012 Saratov, Russia
| | - Anton Selskii
- Department of Basic Research in Neurocardiology, Institute of Cardiological Research, Saratov State Medical University Named after V.I. Razumovsky, B. Kazachaya Str., 112, 410012 Saratov, Russia; (A.R.); (A.S.); (A.K.); (R.P.)
- Institute of Physics, Saratov State University, Astrakhanskaya Str., 83, 410012 Saratov, Russia
| | - Anton Kiselev
- Department of Basic Research in Neurocardiology, Institute of Cardiological Research, Saratov State Medical University Named after V.I. Razumovsky, B. Kazachaya Str., 112, 410012 Saratov, Russia; (A.R.); (A.S.); (A.K.); (R.P.)
- National Medical Research Center for Therapy and Preventive Medicine, 10, Petroverigsky per., 101953 Moscow, Russia
| | - Rail Shamionov
- Faculty of Psychological, Pedagogical and Special Education, Saratov State University, Astrakhanskaya Str., 83, 410012 Saratov, Russia;
| | - Ruzanna Parsamyan
- Department of Basic Research in Neurocardiology, Institute of Cardiological Research, Saratov State Medical University Named after V.I. Razumovsky, B. Kazachaya Str., 112, 410012 Saratov, Russia; (A.R.); (A.S.); (A.K.); (R.P.)
| | - Maksim Zhuravlev
- Department of Basic Research in Neurocardiology, Institute of Cardiological Research, Saratov State Medical University Named after V.I. Razumovsky, B. Kazachaya Str., 112, 410012 Saratov, Russia; (A.R.); (A.S.); (A.K.); (R.P.)
- Institute of Physics, Saratov State University, Astrakhanskaya Str., 83, 410012 Saratov, Russia
- Correspondence:
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Cheremushkin EA, Petrenko NE, Dorokhov VB. [Sleep and neurophysiological correlates of consciousness activation upon awakening]. Zh Nevrol Psikhiatr Im S S Korsakova 2021; 121:14-18. [PMID: 34078854 DOI: 10.17116/jnevro202112104214] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The authors discuss modern ideas about the neurophysiological mechanisms of awakening from sleep and the results of own EEG studies of the spatio-temporal dynamics of the activity of the cerebral hemispheres using the own experimental model for studying consciousness in the sleep-wake paradigm. This model is based on continuous execution of a monotonous psychomotor test performed lying down with eyes closed and allows observing several short-term sleep episodes during a 1-hour experiment, followed by spontaneous awakening and restoration of the psychomotor test. A necessary condition for the restoration of activity during spontaneous awakening is the emergence of the EEG alpha rhythm, the parameters of which determine the effectiveness of the restoration of the psychomotor test and, accordingly, the achievement of a certain level of consciousness, and therefore can be considered as a neurophysiological correlate of consciousness activation upon awakening. The considered experimental model of consciousness can be useful for analyzing the neurophysiological mechanisms of consciousness activation in patients with chronic impairments of consciousness and for searching for effective methods for the rehabilitation of such patients.
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Affiliation(s)
- E A Cheremushkin
- Institute of Higher Nervous Activity and Neurophysiology, Moscow, Russia
| | - N E Petrenko
- Institute of Higher Nervous Activity and Neurophysiology, Moscow, Russia
| | - V B Dorokhov
- Institute of Higher Nervous Activity and Neurophysiology, Moscow, Russia
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Ko LW, Su CH, Yang MH, Liu SY, Su TP. A pilot study on essential oil aroma stimulation for enhancing slow-wave EEG in sleeping brain. Sci Rep 2021; 11:1078. [PMID: 33441798 PMCID: PMC7806966 DOI: 10.1038/s41598-020-80171-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Accepted: 12/16/2020] [Indexed: 12/13/2022] Open
Abstract
Sleep quality is important to health and life quality. Lack of sleep can lead to a variety of health issues and reduce in daytime function. Recent study by Fultz et al. also indicated that sleep is crucial to brain metabolism. Delta power in sleep EEG often indicates good sleep quality while alpha power usually indicates sleep interruptions and poor sleep quality. Essential oil has been speculated to improve sleep quality. Previous studies also suggest essential oil aroma may affect human brain activity when applied awake. However, those studies were often not blinded, which makes the effectiveness and mechanism of aroma a heavily debated topic. In this study, we aim to explore the effect of essential oil aroma on human sleep quality and sleep EEG in a single-blinded setup. The aroma was released when the participants are asleep, which kept the influence of psychological expectation to the minimum. We recruited nine young, healthy participants with regular lifestyle and no sleep problem. All participants reported better sleep quality and more daytime vigorous after exposing to lavender aroma in sleep. We also observed that upon lavender aroma releases, alpha wave in wake stage was reduced while delta wave in slow-wave sleep (SWS) was increased. Lastly, we found that lavender oil promote occurrence of SWS. Overall, our study results show that essential oil aroma can be used to promote both subjective and objective sleep quality in healthy human subjects. This makes aroma intervention a potential solution for poor sleep quality and insomnia.
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Affiliation(s)
- Li-Wei Ko
- Center for Intelligent Drug Systems and Smart Bio-Devices (IDS2B), National Chiao Tung University, Hsinchu City, Taiwan. .,Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu City, Taiwan. .,Drug Development and Value Creation Research Center, Kaohsiung Medical University, Kaohsiung City, Taiwan.
| | - Cheng-Hua Su
- Center for Intelligent Drug Systems and Smart Bio-Devices (IDS2B), National Chiao Tung University, Hsinchu City, Taiwan.,Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu City, Taiwan
| | - Meng-Hsun Yang
- Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu City, Taiwan
| | - Shen-Yi Liu
- Sleep Center, Taipei Veterans General Hospital, Taipei City, Taiwan
| | - Tung-Ping Su
- Department of Psychiatry, Cheng Hsin General Hospital, Taipei City, Taiwan.,Department of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan
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McCloskey S, Jeffries B, Koprinska I, Miller CB, Grunstein RR. Data-driven cluster analysis of insomnia disorder with physiology-based qEEG variables. Knowl Based Syst 2019. [DOI: 10.1016/j.knosys.2019.07.034] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
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Rezaei M, Mohammadi H, Khazaie H. Alpha-wave Characteristics in Psychophysiological Insomnia. JOURNAL OF MEDICAL SIGNALS & SENSORS 2019; 9:259-266. [PMID: 31737555 PMCID: PMC6839435 DOI: 10.4103/jmss.jmss_51_18] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2018] [Revised: 02/07/2019] [Accepted: 02/26/2019] [Indexed: 11/13/2022]
Abstract
Individuals with psychophysiological insomnia (Psych-Insomnia) would show raised cortical arousal through their initiating sleep. Frequent changes in the alpha activity can be indicative of visual cortical activation, even without visual stimulation or retinal input. Therefore, we aimed to investigate alpha-wave characteristics in Psych-Insomnia before and after sleep onset. In a case–control study, 11 individuals with Psych-Insomnia (age: 44.00 ± 13.27) and 11 age-, sex-, and body mass index-matched healthy individuals (age: 41.64 ± 15.89) were recruited for this study. An overnight polysomnography monitoring was performed. Alpha characteristics were calculated from wake before sleep onsets (WBSOs), wake after sleep onset, rapid eye movement, and nonrapid eye movement in the both groups. They include the alpha power and alpha frequency and their variability in the central region. In the WBSO, alpha activity and variability were higher in the Psych-Insomnia individuals compared to healthy individuals. In both groups, alpha frequency variability was observed at approximately 1 Hz. Alpha-wave synchronization in Psych-Insomnia individuals was higher than the group with normal sleep. Individuals with Psych-Insomnia have a lot of imagination in the wake before sleep, which can be caused by stress, everyday concerns, and daily concerns.
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Affiliation(s)
- Mohammad Rezaei
- Sleep Disorders Research Center, Farabi Hospital, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Hiwa Mohammadi
- Sleep Disorders Research Center, Farabi Hospital, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Habibolah Khazaie
- Sleep Disorders Research Center, Farabi Hospital, Kermanshah University of Medical Sciences, Kermanshah, Iran
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14
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Abstract
Changes in the frequency characteristics of EEG alpha rhythm in during falling asleep were studied in three healthy individuals under conditions of long-term isolation (MARS-500 project). Falling asleep was preceded by enhanced alpha rhythm frequency. An inverse correlation between the duration of falling asleep and prevailing alpha rhythm frequency during active and relaxed wakefulness was revealed in the left hemisphere. These results demonstrate the principal possibility of predicting the duration of falling asleep by using alpha rhythm spectral analysis. It is assumed that the frequency of the alpha range spectral peak can be a marker of drowsiness and reflect the current need for sleep.
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15
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Jardim M, Amaral F, Antunes VMDS, Rodrigues F, Souza MSAD, Siqueto FR, Silva LM, Bertolino RA, Cavalaro V, Oliveira CR. Pinetonina<sup>TM</sup>, an Intranasally Administered Essential Oil Preparation, Is Effective in Decrease of Cortisol Levels and on the Glutamate Release Modulation. ACTA ACUST UNITED AC 2018. [DOI: 10.4236/nm.2018.93014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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16
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Yiallourou SR, Arena BC, Wallace EM, Odoi A, Hollis S, Weichard A, Horne RSC. Being Born Too Small and Too Early May Alter Sleep in Childhood. Sleep 2017; 41:4643001. [DOI: 10.1093/sleep/zsx193] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Stephanie R Yiallourou
- Department of Paediatrics, The Ritchie Centre, Hudson Institute of Medical Research, Monash University, Melbourne, Victoria, Australia
- Pre-Clinical Disease and Prevention Unit, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Bianca C Arena
- Department of Paediatrics, The Ritchie Centre, Hudson Institute of Medical Research, Monash University, Melbourne, Victoria, Australia
| | - Euan M Wallace
- Department of Obstetrics and Gynaecology, The Ritchie Centre, Hudson Institute of Medical Research, Monash University, Melbourne, Victoria, Australia
| | - Alexsandria Odoi
- Department of Paediatrics, The Ritchie Centre, Hudson Institute of Medical Research, Monash University, Melbourne, Victoria, Australia
| | - Samantha Hollis
- Department of Paediatrics, The Ritchie Centre, Hudson Institute of Medical Research, Monash University, Melbourne, Victoria, Australia
| | - Aidan Weichard
- Department of Paediatrics, The Ritchie Centre, Hudson Institute of Medical Research, Monash University, Melbourne, Victoria, Australia
| | - Rosemary S C Horne
- Department of Paediatrics, The Ritchie Centre, Hudson Institute of Medical Research, Monash University, Melbourne, Victoria, Australia
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17
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Ulke C, Huang J, Schwabedal JTC, Surova G, Mergl R, Hensch T. Coupling and dynamics of cortical and autonomic signals are linked to central inhibition during the wake-sleep transition. Sci Rep 2017; 7:11804. [PMID: 28924202 PMCID: PMC5603599 DOI: 10.1038/s41598-017-09513-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Accepted: 07/25/2017] [Indexed: 01/04/2023] Open
Abstract
Maintaining temporal coordination across physiological systems is crucial at the wake-sleep transition. As shown in recent studies, the degree of coordination between brain and autonomic arousal influences attention, which highlights a previously unrecognised point of potential failure in the attention system. To investigate how cortical and autonomic dynamics are linked to the attentive process we analysed electroencephalogram, electrocardiogram and skin conductance data of 39 healthy adults recorded during a 2-h resting-state oddball experiment. We related cross-correlations to fluctuation periods of cortical and autonomic signals and correlated obtained measures to event-related potentials N1 and P2, reflecting excitatory and inhibitory processes. Increasing alignment of cortical and autonomic signals and longer periods of vigilance fluctuations corresponded to a larger and earlier P2; no such relations were found for N1. We compared two groups, with (I) and without measurable (II) delay in cortico-autonomic correlations. Individuals in Group II had more stable vigilance fluctuations, larger and earlier P2 and fell asleep more frequently than individuals in Group I. Our results support the hypothesis of a link between cortico-autonomic coupling and dynamics and central inhibition. Quantifying this link could help refine classification in psychiatric disorders with attention and sleep-related symptoms, particularly in ADHD, depression, and insomnia.
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Affiliation(s)
- Christine Ulke
- Department of Psychiatry and Psychotherapy, University of Leipzig, Leipzig, Germany. .,Research Center of the German Depression Foundation, Leipzig, Germany.
| | - Jue Huang
- Department of Psychiatry and Psychotherapy, University of Leipzig, Leipzig, Germany
| | | | - Galina Surova
- Department of Psychiatry and Psychotherapy, University of Leipzig, Leipzig, Germany
| | - Roland Mergl
- Department of Psychiatry and Psychotherapy, University of Leipzig, Leipzig, Germany
| | - Tilman Hensch
- Department of Psychiatry and Psychotherapy, University of Leipzig, Leipzig, Germany
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18
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Lowet E, Roberts MJ, Peter A, Gips B, De Weerd P. A quantitative theory of gamma synchronization in macaque V1. eLife 2017; 6:26642. [PMID: 28857743 PMCID: PMC5779232 DOI: 10.7554/elife.26642] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Accepted: 08/21/2017] [Indexed: 12/13/2022] Open
Abstract
Gamma-band synchronization coordinates brief periods of excitability in oscillating neuronal populations to optimize information transmission during sensation and cognition. Commonly, a stable, shared frequency over time is considered a condition for functional neural synchronization. Here, we demonstrate the opposite: instantaneous frequency modulations are critical to regulate phase relations and synchronization. In monkey visual area V1, nearby local populations driven by different visual stimulation showed different gamma frequencies. When similar enough, these frequencies continually attracted and repulsed each other, which enabled preferred phase relations to be maintained in periods of minimized frequency difference. Crucially, the precise dynamics of frequencies and phases across a wide range of stimulus conditions was predicted from a physics theory that describes how weakly coupled oscillators influence each other's phase relations. Hence, the fundamental mathematical principle of synchronization through instantaneous frequency modulations applies to gamma in V1 and is likely generalizable to other brain regions and rhythms.
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Affiliation(s)
- Eric Lowet
- Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Mark J Roberts
- Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Alina Peter
- Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt, Germany
| | - Bart Gips
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands
| | - Peter De Weerd
- Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands.,Maastricht Centre for Systems Biology, Maastricht University, Maastricht, Netherlands
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Penzel T, Fietze I, Veauthier C. The Need for a Reliable Sleep EEG Biomarker. J Clin Sleep Med 2017; 13:771-772. [PMID: 28502287 DOI: 10.5664/jcsm.6608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Accepted: 05/09/2017] [Indexed: 11/13/2022]
Affiliation(s)
- Thomas Penzel
- Sleep Medicine Center, Charité Universitätsmedizin Berlin, Berlin, Germany.,International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czech Republic
| | - Ingo Fietze
- Sleep Medicine Center, Charité Universitätsmedizin Berlin, Berlin, Germany
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20
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Dijk DJ. Biomarkers, old and new: for sleep, sleepiness, circadian phase and much more…. J Sleep Res 2016; 25:255-6. [PMID: 27242016 DOI: 10.1111/jsr.12435] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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