Cereset Research Standard Operating Procedures for Insomnia: A Randomized, Controlled Clinical Trial

Background Interventions for insomnia that also address autonomic dysfunction are needed. Objective We evaluate Cereset Research™ Standard Operating Procedures (CR-SOP) in a pilot randomized, controlled trial. CR-SOP is a less operator-dependent, more generalizable innovation of HIRREM®, a noninvasive, closed-loop, allostatic, acoustic stimulation neurotechnology demonstrated to improve insomnia and autonomic function. Methods Adults with Insomnia Severity Index (ISI) scores of ≥8 were randomized to receive ten sessions of CR-SOP, with tones linked to brainwaves (LB, intervention), or a sham condition of random tones not linked to brainwaves (NL, control). Measures were collected at enrollment and 0-14 days and 4-6 weeks post-allocated intervention. The primary outcome was differential change in ISI from baseline to 4-6 weeks post-intervention. Secondary self-report measures assessed sleep quality65 and behavioral outcomes. Ten-minute recordings of heart rate and blood pressure were collected to analyze autonomic function (heart rate variability [HRV] and baroreflex sensitivity). Results Of 22 randomized, 20 participants completed the allocated condition. Intention to treat analysis of change from baseline to the 4-6 week outcome demonstrated mean ISI score reduction of 4.69 points among controls (SE 1.40). In the intervention group, there was an additional 2.58 point reduction in ISI score (SE 2.13; total reduction of 7.27, P = .24). Sleep quality and some measures of autonomic function improved significantly among the intervention group compared to control. Conclusions This pilot study compared use of a standardized, allostatic, acoustic neurotechnology intervention with a sham, active control condition. The magnitude of change in insomnia severity was clinically relevant and similar to the findings in a prior, fully powered trial, but the differential improvement observed was not statistically significant. Significant improvements were demonstrated in sleep quality and some autonomic function measures.

[1]  Meena S. Khan,et al.  The Effects of Insomnia and Sleep Loss on Cardiovascular Disease. , 2022, Sleep medicine clinics.

[2]  M. Perlis,et al.  We know CBT-I works, now what? , 2022, Faculty reviews.

[3]  Vlastimil Koudelka,et al.  Real-Time Excitation of Slow Oscillations during Deep Sleep Using Acoustic Stimulation , 2021, Italian National Conference on Sensors.

[4]  A. Krieger,et al.  The effects of white noise on sleep and duration in individuals living in a high noise environment in New York City. , 2021, Sleep medicine.

[5]  J. Y. Ng,et al.  A systematic review and quality assessment of complementary and alternative medicine recommendations in insomnia clinical practice guidelines , 2021, BMC Complementary Medicine and Therapies.

[6]  S. Simpson,et al.  High‐resolution, relational, resonance‐based, electroencephalic mirroring (HIRREM) improves symptoms and autonomic function for insomnia: A randomized, placebo‐controlled clinical trial , 2020, Brain and behavior.

[7]  Ananda Sen,et al.  Telemedicine Versus Face-to-Face Delivery of Cognitive Behavioral Therapy for Insomnia: A Randomized Controlled Non-Inferiority Trial. , 2020, Sleep.

[8]  K. Doghramji,et al.  An fMRI Study of the Effects of Vibroacoustic Stimulation on Functional Connectivity in Patients with Insomnia , 2020, Sleep disorders.

[9]  G. Guyatt,et al.  Insomnia and risk of mortality from all-cause, cardiovascular disease, and cancer: Systematic review and meta-analysis of prospective cohort studies. , 2019, Sleep medicine reviews.

[10]  F. Fröhlich,et al.  Active and Passive Rhythmic Music Therapy Interventions Differentially Modulate Sympathetic Autonomic Nervous System Activity. , 2019, Journal of music therapy.

[11]  M. Kringelbach,et al.  A randomized controlled trial of bedtime music for insomnia disorder , 2019, Journal of sleep research.

[12]  J. Albrecht,et al.  Untreated insomnia increases all-cause health care utilization and costs among Medicare beneficiaries , 2019, Sleep.

[13]  Ashley R. Morgan,et al.  Functional Brain Network Changes Following Use of an Allostatic, Closed‐Loop, Acoustic Stimulation Neurotechnology for Military‐Related Traumatic Stress , 2018, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[14]  A. Luik,et al.  Insomnia symptoms and their association with workplace productivity: cross-sectional and pre-post intervention analyses from a large multinational manufacturing company. , 2018, Sleep health.

[15]  S. Simpson,et al.  Improvements in Heart Rate Variability, Baroreflex Sensitivity, and Sleep After Use of Closed-Loop Allostatic Neurotechnology by a Heterogeneous Cohort , 2018, Front. Public Health.

[16]  Ronald M. Aarts,et al.  Measures of cardiovascular autonomic activity in insomnia disorder: A systematic review , 2017, PloS one.

[17]  C. McCoy,et al.  Understanding the Intention-to-treat Principle in Randomized Controlled Trials , 2017, The western journal of emergency medicine.

[18]  J. Lanquart,et al.  Hyperarousal during sleep in untreated primary insomnia sufferers: A polysomnographic study , 2017, Psychiatry Research.

[19]  S. Simpson,et al.  Clinical, hemispheric, and autonomic changes associated with use of closed-loop, allostatic neurotechnology by a case series of individuals with self-reported symptoms of post-traumatic stress , 2017, BMC Psychiatry.

[20]  M. O’Donnell,et al.  Sleep to Lower Elevated Blood Pressure: A Randomized Controlled Trial (SLEPT) , 2017, American journal of hypertension.

[21]  A. Widge,et al.  Closed-loop neuromodulation systems: next-generation treatments for psychiatric illness , 2017, International review of psychiatry.

[22]  G. Tononi,et al.  Enhancement of sleep slow waves: underlying mechanisms and practical consequences , 2014, Front. Syst. Neurosci..

[23]  T. Dang-Vu,et al.  Neuroimaging findings in primary insomnia. , 2014, Pathologie-biologie.

[24]  H. Shaltout,et al.  A bihemispheric autonomic model for traumatic stress effects on health and behavior , 2014, Front. Psychol..

[25]  S. Mazza,et al.  Heart Rate and Heart Rate Variability Modification in Chronic Insomnia Patients , 2014, Behavioral sleep medicine.

[26]  Lino Nobili,et al.  Heart rate variability in normal and pathological sleep , 2013, Front. Physiol..

[27]  L. Gerdes,et al.  HIRREM™: a noninvasive, allostatic methodology for relaxation and auto-calibration of neural oscillations , 2013, Brain and behavior.

[28]  P. Sterling Allostasis: A model of predictive regulation , 2012, Physiology & Behavior.

[29]  E. Walker,et al.  Diagnostic and Statistical Manual of Mental Disorders , 2013 .

[30]  G. Clifford,et al.  A possible method to predict response to non-pharmacological insomnia therapy. , 2011, Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine.

[31]  C. Morin,et al.  The Insomnia Severity Index: psychometric indicators to detect insomnia cases and evaluate treatment response. , 2011, Sleep.

[32]  Kai Spiegelhalder,et al.  Heart rate and heart rate variability in subjectively reported insomnia , 2011, Journal of sleep research.

[33]  Geert Molenberghs,et al.  Random Effects Models for Longitudinal Data , 2010 .

[34]  H. Shaltout,et al.  Acute AT(1)-receptor blockade reverses the hemodynamic and baroreflex impairment in adult sheep exposed to antenatal betamethasone. , 2010, American journal of physiology. Heart and circulatory physiology.

[35]  Jing Cheng,et al.  Real longitudinal data analysis for real people: Building a good enough mixed model , 2010, Statistics in medicine.

[36]  B. Feige,et al.  The hyperarousal model of insomnia: a review of the concept and its evidence. , 2010, Sleep medicine reviews.

[37]  S. McDonough,et al.  Acupuncture and Reflexology for Insomnia: A Feasibility Study , 2009, Acupuncture in medicine : journal of the British Medical Acupuncture Society.

[38]  P. Harris,et al.  Research electronic data capture (REDCap) - A metadata-driven methodology and workflow process for providing translational research informatics support , 2009, J. Biomed. Informatics.

[39]  K. Muller,et al.  An R2 statistic for fixed effects in the linear mixed model , 2008, Statistics in medicine.

[40]  Michele Ferrara,et al.  Quantitative electroencephalogram (EEG) in insomnia: a new window on pathophysiological mechanisms. , 2008, Current pharmaceutical design.

[41]  B. Löwe,et al.  A brief measure for assessing generalized anxiety disorder: the GAD-7. , 2006, Archives of internal medicine.

[42]  K. Smarr Measures of depression and depressive symptoms: The Beck Depression Inventory (BDI), Center for Epidemiological Studies‐Depression Scale (CES‐D), Geriatric Depression Scale (GDS), Hospital Anxiety and Depression Scale (HADS), and Primary Care Evaluation of Mental Disorders‐Mood Module (PRIME‐MD) , 2003 .

[43]  D Kromhout,et al.  Heart rate variability from short electrocardiographic recordings predicts mortality from all causes in middle-aged and elderly men. The Zutphen Study. , 1997, American journal of epidemiology.

[44]  M. Johns,et al.  A new method for measuring daytime sleepiness: the Epworth sleepiness scale. , 1991, Sleep.

[45]  Daniel J Buysse,et al.  The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research , 1989, Psychiatry Research.

[46]  J. Ware,et al.  Random-effects models for longitudinal data. , 1982, Biometrics.

[47]  L. Radloff The CES-D Scale , 1977 .

[48]  G. Arbanas Diagnostic and Statistical Manual of Mental Disorders (DSM-5) , 2015 .

[49]  Waldemar Szelenberger,et al.  Waking EEG in primary insomnia. , 2011, Acta neurobiologiae experimentalis.