Cereset Research Exploratory Study

NCT03777267 | Recruiting FDA Device

• 1 other identifier: IRB00055280
• Study Type: interventional
• Target: 200
• Locations: 1 country
• Sites: 1

Brief Summary

The purpose of this study is to evaluate the use of Cereset Research to improve autonomic function in participants with symptoms of stress, anxiety, or insomnia.

Conditions

Neurological Diseases or Conditions; Psychophysiologic Disorders; Cardiovascular Conditions After Birth

Keywords

Stress; Neurotechnology; Autonomic Dysregulation; Hyperarousal; Brain electrical activity; Allostasis; HIRREM; Cereset Research; Insomnia; Anxiety

Outcome Measures

Primary Outcomes (3)

• Change in Heart Rate Variability

  Heart rate variability is measured in the time domain as standard deviation of beat-to-beat interval (SDNN, milliseconds). For calculation of SDNN, the R-R intervals are visually inspected, and data considered as artifact is manually removed. Heart rate are acquired from 10 minute recordings of noninvasive finger arterial pressure measurements and ECG with participants lying quietly, supine. Systolic BP and beat to beat, RR intervals files generated via the data acquisition system (BIOPAC acquisition system and Acknowledge 4.2 software, Santa Barbara, CA), at 1000 Hz, are analyzed using Nevrokard BRS software (Nevrokard BRS, Medistar, Ljubljana, Slovenia). Analysis is conducted on the first complete 5-minute epoch that is considered to be acceptable for analysis.

  Baseline, and V3 (4-6 weeks after V2)

• Change in Baroreflex Sensitivity

  BRS calculated by this method is based on quantification of sequences of at least three beats (n) in which SBP consecutively increases (UP sequence) or decreases (DOWN sequence), which are accompanied by changes in the same direction of the RRI of subsequent beats (n+1). The software scans the RRI and SBP records, identifies sequences, and calculates linear correlation between RRI and SBP for each sequence. The mean of all individual regression coefficients (slopes), a measure of sequence BRS, is calculated for Sequence UP, DOWN and ALL (ms/mmHg). Blood pressure and heart rate are acquired from 10 minute recordings of noninvasive finger arterial pressure measurements and ECG with participants lying quietly, supine. Systolic BP and beat to beat, RR intervals files generated via the data acquisition system (BIOPAC acquisition system and Acknowledge 4.2 software, Santa Barbara, CA), at 1000 Hz, are analyzed using Nevrokard BRS software (Nevrokard BRS, Medistar, Ljubljana, Slovenia).

  Baseline, and V3 (4-6 weeks after V2)

• Change in Blood Pressure Variability

  Systolic BP and beat to beat, RR intervals (RRI) files generated via the data acquisition system (BIOPAC acquisition system and software, Santa Barbara, CA) at 1000 Hz are analyzed using Nevrokard SA-BRS software (by Nevrokard Kiauta, d.o.o., Izola, Slovenia) for measures BPV.Frequency Method. Power spectral densities of SBP and RRI oscillations are computed by 512 points Fast Fourier Transform (FFT) and integrated over specified frequency ranges (LF: 0.04-0.15 Hz; HF: 0.15-0.4 Hz).

  Baseline, and V3 (4-6 weeks after V2)

Secondary Outcomes (4)

• Change in Insomnia Severity Index (ISI)

  Baseline, V2 (0-14 days after final session), and V3 (4-6 weeks after V2)

• Change in Center for Epidemiologic Studies Depression Scale (CES-D)

  Baseline, V2 (0-14 days after final session), and V3 (4-6 weeks after V2)

• Change in Generalized Anxiety Disorder-7 (GAD-7)

  Baseline, V2 (0-14 days after final session), and V3 (4-6 weeks after V2)

• Change in Perceived Stress Scale (PSS)

  Baseline, V2 (0-14 days after final session), and V3 (4-6 weeks after V2)

Other Outcomes (3)

• Change in Quality of Life Scale (QOLS)

  Baseline, V2 (0-14 days after final session), and V3 (4-6 weeks after V2)

• Change in PTSD Checklist for Civilians (PCL-C)

  Baseline, V2 (0-14 days after final session), and V3 (4-6 weeks after V2)

• Change in Blood Pressure

  Baseline, and V3 (4-6 weeks after V2)

Study Arms (1)

Experimental: Active CR

EXPERIMENTAL

For this single arm, open label, exploratory trial this will be the intervention arm using active CR.

Device: Active CR

Interventions

Active CR DEVICE

The upgraded platform for medical research using the HIRREM technology has been rebranded as Cereset Research® (CR). This system uses the same core technology and algorithms to echo brainwaves in real-time using audible tones, as with HIRREM. The CR system also includes 64-bit processing architecture for faster feedback, the use of 4 sensors, and the use of standard protocols (with flexibility regarding the length and sequencing of the standard protocols), all done with eyes closed. Four sensors are applied to the scalp at a time. However, only two sensors are actively echoing feedback. The software automatically switches from one sensor pair to the other when needed. This reduces the number of sensor placement changes needed, resulting in shorter session time and fewer interruptions.

Experimental: Active CR

Eligibility Criteria

• Age: 11 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)

You may qualify if:

• Subjects must have the ability to comply with basic instructions and be able to sit still comfortably with the sensor leads attached
• Subjects experiencing symptoms of stress, anxiety, or insomnia, who meet threshold scores on one or more self-reported inventories for the same. This includes the Insomnia Severity Index (ISI, ≥ 8), the Perceived Stress Index (PSS, ≥ 14), or the Generalized Anxiety Disorder 7-item (GAD-7, ≥ 5) scale.

You may not qualify if:

• Unable, unwilling, or incompetent to provide informed consent/assent.
• Physically unable to come to the study visits, or to sit comfortably in a chair for up to 1.5 hours.
• Severe hearing impairment (because the subject will be using ear buds during CR).
• Weight is over the chair limit (285 pounds).
• Currently in another active intervention research study.
• Prior use of HIRREM, Brainwave Optimization, Cereset, or a wearable configuration of the same (B2, or B2v2) within the last 3 years.
• Prior use of electroconvulsive therapy (ECT).
• Prior use of transcranial magnetic stimulation (TMS), transcranial direct current stimulation (TDCS), alpha stimulation, neurofeedback, biofeedback, or deep brain stimulation (DBS) within one month before enrollment.
• Known seizure disorder.

Sponsors & Collaborators

• Wake Forest University Health Sciences: lead

Study Sites (1)

Wake Forest University Health Scienc\ess

Winston-Salem, North Carolina, 27157, United States

RECRUITING

Related Publications (69)

• Hale TS, Smalley SL, Walshaw PD, Hanada G, Macion J, McCracken JT, McGough JJ, Loo SK. Atypical EEG beta asymmetry in adults with ADHD. Neuropsychologia. 2010 Oct;48(12):3532-9. doi: 10.1016/j.neuropsychologia.2010.08.002. Epub 2010 Aug 10.

  PMID: 20705076 BACKGROUND

• Hale TS, Smalley SL, Dang J, Hanada G, Macion J, McCracken JT, McGough JJ, Loo SK. ADHD familial loading and abnormal EEG alpha asymmetry in children with ADHD. J Psychiatr Res. 2010 Jul;44(9):605-15. doi: 10.1016/j.jpsychires.2009.11.012. Epub 2009 Dec 16.

  PMID: 20006344 BACKGROUND

• Hale TS, Smalley SL, Hanada G, Macion J, McCracken JT, McGough JJ, Loo SK. Atypical alpha asymmetry in adults with ADHD. Neuropsychologia. 2009 Aug;47(10):2082-8. doi: 10.1016/j.neuropsychologia.2009.03.021. Epub 2009 Apr 5.

  PMID: 19467358 BACKGROUND

• Lazarev VV, Pontes A, Mitrofanov AA, deAzevedo LC. Interhemispheric asymmetry in EEG photic driving coherence in childhood autism. Clin Neurophysiol. 2010 Feb;121(2):145-52. doi: 10.1016/j.clinph.2009.10.010. Epub 2009 Dec 1.

  PMID: 19951847 BACKGROUND

• Stroganova TA, Nygren G, Tsetlin MM, Posikera IN, Gillberg C, Elam M, Orekhova EV. Abnormal EEG lateralization in boys with autism. Clin Neurophysiol. 2007 Aug;118(8):1842-54. doi: 10.1016/j.clinph.2007.05.005. Epub 2007 Jun 19.

  PMID: 17581774 BACKGROUND

• Thibodeau R, Jorgensen RS, Kim S. Depression, anxiety, and resting frontal EEG asymmetry: a meta-analytic review. J Abnorm Psychol. 2006 Nov;115(4):715-29. doi: 10.1037/0021-843X.115.4.715.

  PMID: 17100529 BACKGROUND

• Avram J, Baltes FR, Miclea M, Miu AC. Frontal EEG activation asymmetry reflects cognitive biases in anxiety: evidence from an emotional face Stroop task. Appl Psychophysiol Biofeedback. 2010 Dec;35(4):285-92. doi: 10.1007/s10484-010-9138-6.

  PMID: 20607389 BACKGROUND

• Spironelli C, Penolazzi B, Angrilli A. Dysfunctional hemispheric asymmetry of theta and beta EEG activity during linguistic tasks in developmental dyslexia. Biol Psychol. 2008 Feb;77(2):123-31. doi: 10.1016/j.biopsycho.2007.09.009. Epub 2007 Oct 2.

  PMID: 17997211 BACKGROUND

• Moscovitch DA, Santesso DL, Miskovic V, McCabe RE, Antony MM, Schmidt LA. Frontal EEG asymmetry and symptom response to cognitive behavioral therapy in patients with social anxiety disorder. Biol Psychol. 2011 Jul;87(3):379-85. doi: 10.1016/j.biopsycho.2011.04.009. Epub 2011 May 13.

  PMID: 21571033 BACKGROUND

• Kemp AH, Griffiths K, Felmingham KL, Shankman SA, Drinkenburg W, Arns M, Clark CR, Bryant RA. Disorder specificity despite comorbidity: resting EEG alpha asymmetry in major depressive disorder and post-traumatic stress disorder. Biol Psychol. 2010 Oct;85(2):350-4. doi: 10.1016/j.biopsycho.2010.08.001. Epub 2010 Aug 11.

  PMID: 20708650 BACKGROUND

• Rabe S, Beauducel A, Zollner T, Maercker A, Karl A. Regional brain electrical activity in posttraumatic stress disorder after motor vehicle accident. J Abnorm Psychol. 2006 Nov;115(4):687-98. doi: 10.1037/0021-843X.115.4.687.

  PMID: 17100526 BACKGROUND

• Metzger LJ, Paige SR, Carson MA, Lasko NB, Paulus LA, Pitman RK, Orr SP. PTSD arousal and depression symptoms associated with increased right-sided parietal EEG asymmetry. J Abnorm Psychol. 2004 May;113(2):324-9. doi: 10.1037/0021-843X.113.2.324.

  PMID: 15122952 BACKGROUND

• Marzano C, Ferrara M, Sforza E, De Gennaro L. Quantitative electroencephalogram (EEG) in insomnia: a new window on pathophysiological mechanisms. Curr Pharm Des. 2008;14(32):3446-55. doi: 10.2174/138161208786549326.

  PMID: 19075720 BACKGROUND

• Wolynczyk-Gmaj D, Szelenberger W. Waking EEG in primary insomnia. Acta Neurobiol Exp (Wars). 2011;71(3):387-92. doi: 10.55782/ane-2011-1860.

  PMID: 22068747 BACKGROUND

• Riemann D, Spiegelhalder K, Feige B, Voderholzer U, Berger M, Perlis M, Nissen C. The hyperarousal model of insomnia: a review of the concept and its evidence. Sleep Med Rev. 2010 Feb;14(1):19-31. doi: 10.1016/j.smrv.2009.04.002. Epub 2009 May 28.

  PMID: 19481481 BACKGROUND

• Cohen H, Benjamin J, Geva AB, Matar MA, Kaplan Z, Kotler M. Autonomic dysregulation in panic disorder and in post-traumatic stress disorder: application of power spectrum analysis of heart rate variability at rest and in response to recollection of trauma or panic attacks. Psychiatry Res. 2000 Sep 25;96(1):1-13. doi: 10.1016/s0165-1781(00)00195-5.

  PMID: 10980322 BACKGROUND

• Katz-Leurer M, Rotem H, Keren O, Meyer S. Heart rate and heart rate variability at rest and during exercise in boys who suffered a severe traumatic brain injury and typically-developed controls. Brain Inj. 2010 Feb;24(2):110-4. doi: 10.3109/02699050903508234.

  PMID: 20085448 BACKGROUND

• Beckham JC, Taft CT, Vrana SR, Feldman ME, Barefoot JC, Moore SD, Mozley SL, Butterfield MI, Calhoun PS. Ambulatory monitoring and physical health report in Vietnam veterans with and without chronic posttraumatic stress disorder. J Trauma Stress. 2003 Aug;16(4):329-35. doi: 10.1023/A:1024457700599.

  PMID: 12895015 BACKGROUND

• Spiegelhalder K, Fuchs L, Ladwig J, Kyle SD, Nissen C, Voderholzer U, Feige B, Riemann D. Heart rate and heart rate variability in subjectively reported insomnia. J Sleep Res. 2011 Mar;20(1 Pt 2):137-45. doi: 10.1111/j.1365-2869.2010.00863.x.

  PMID: 20626615 BACKGROUND

• Tobaldini E, Nobili L, Strada S, Casali KR, Braghiroli A, Montano N. Heart rate variability in normal and pathological sleep. Front Physiol. 2013 Oct 16;4:294. doi: 10.3389/fphys.2013.00294.

  PMID: 24137133 BACKGROUND

• Tsuji H, Larson MG, Venditti FJ Jr, Manders ES, Evans JC, Feldman CL, Levy D. Impact of reduced heart rate variability on risk for cardiac events. The Framingham Heart Study. Circulation. 1996 Dec 1;94(11):2850-5. doi: 10.1161/01.cir.94.11.2850.

  PMID: 8941112 BACKGROUND

• Dekker JM, Schouten EG, Klootwijk P, Pool J, Swenne CA, Kromhout D. Heart rate variability from short electrocardiographic recordings predicts mortality from all causes in middle-aged and elderly men. The Zutphen Study. Am J Epidemiol. 1997 May 15;145(10):899-908. doi: 10.1093/oxfordjournals.aje.a009049.

  PMID: 9149661 BACKGROUND

• Beauchaine TP, Thayer JF. Heart rate variability as a transdiagnostic biomarker of psychopathology. Int J Psychophysiol. 2015 Nov;98(2 Pt 2):338-350. doi: 10.1016/j.ijpsycho.2015.08.004. Epub 2015 Aug 11.

  PMID: 26272488 BACKGROUND

• Lee EA, Bissett JK, Carter MA, Cowan PA, Pyne JM, Speck PM, Theus SA, Tolley EA. Preliminary findings of the relationship of lower heart rate variability with military sexual trauma and presumed posttraumatic stress disorder. J Trauma Stress. 2013 Apr;26(2):249-56. doi: 10.1002/jts.21797.

  PMID: 23568414 BACKGROUND

• Shah AJ, Lampert R, Goldberg J, Veledar E, Bremner JD, Vaccarino V. Posttraumatic stress disorder and impaired autonomic modulation in male twins. Biol Psychiatry. 2013 Jun 1;73(11):1103-10. doi: 10.1016/j.biopsych.2013.01.019. Epub 2013 Feb 21.

  PMID: 23434412 BACKGROUND

• Minassian A, Geyer MA, Baker DG, Nievergelt CM, O'Connor DT, Risbrough VB; Marine Resiliency Study Team. Heart rate variability characteristics in a large group of active-duty marines and relationship to posttraumatic stress. Psychosom Med. 2014 May;76(4):292-301. doi: 10.1097/PSY.0000000000000056.

  PMID: 24804881 BACKGROUND

• Park J, Marvar PJ, Liao P, Kankam ML, Norrholm SD, Downey RM, McCullough SA, Le NA, Rothbaum BO. Baroreflex dysfunction and augmented sympathetic nerve responses during mental stress in veterans with post-traumatic stress disorder. J Physiol. 2017 Jul 15;595(14):4893-4908. doi: 10.1113/JP274269. Epub 2017 Jun 14.

  PMID: 28503726 BACKGROUND

• Park JE, Lee JY, Kang SH, Choi JH, Kim TY, So HS, Yoon IY. Heart rate variability of chronic posttraumatic stress disorder in the Korean veterans. Psychiatry Res. 2017 Sep;255:72-77. doi: 10.1016/j.psychres.2017.05.011. Epub 2017 May 9.

  PMID: 28528244 BACKGROUND

• Minassian A, Maihofer AX, Baker DG, Nievergelt CM, Geyer MA, Risbrough VB; Marine Resiliency Study Team. Association of Predeployment Heart Rate Variability With Risk of Postdeployment Posttraumatic Stress Disorder in Active-Duty Marines. JAMA Psychiatry. 2015 Oct;72(10):979-86. doi: 10.1001/jamapsychiatry.2015.0922.

  PMID: 26353072 BACKGROUND

• Pyne JM, Constans JI, Wiederhold MD, Gibson DP, Kimbrell T, Kramer TL, Pitcock JA, Han X, Williams DK, Chartrand D, Gevirtz RN, Spira J, Wiederhold BK, McCraty R, McCune TR. Heart rate variability: Pre-deployment predictor of post-deployment PTSD symptoms. Biol Psychol. 2016 Dec;121(Pt A):91-98. doi: 10.1016/j.biopsycho.2016.10.008. Epub 2016 Oct 20.

  PMID: 27773678 BACKGROUND

• Kleiger RE, Miller JP, Bigger JT Jr, Moss AJ. Decreased heart rate variability and its association with increased mortality after acute myocardial infarction. Am J Cardiol. 1987 Feb 1;59(4):256-62. doi: 10.1016/0002-9149(87)90795-8.

  PMID: 3812275 BACKGROUND

• Carnethon MR, Golden SH, Folsom AR, Haskell W, Liao D. Prospective investigation of autonomic nervous system function and the development of type 2 diabetes: the Atherosclerosis Risk In Communities study, 1987-1998. Circulation. 2003 May 6;107(17):2190-5. doi: 10.1161/01.CIR.0000066324.74807.95. Epub 2003 Apr 14.

  PMID: 12695289 BACKGROUND

• Chandra P, Sands RL, Gillespie BW, Levin NW, Kotanko P, Kiser M, Finkelstein F, Hinderliter A, Pop-Busui R, Rajagopalan S, Saran R. Predictors of heart rate variability and its prognostic significance in chronic kidney disease. Nephrol Dial Transplant. 2012 Feb;27(2):700-9. doi: 10.1093/ndt/gfr340. Epub 2011 Sep 12.

  PMID: 21765187 BACKGROUND

• Marsac J. [Heart rate variability: a cardiometabolic risk marker with public health implications]. Bull Acad Natl Med. 2013 Jan;197(1):175-86. French.

  PMID: 24672989 BACKGROUND

• Thayer JF, Hansen AL, Saus-Rose E, Johnsen BH. Heart rate variability, prefrontal neural function, and cognitive performance: the neurovisceral integration perspective on self-regulation, adaptation, and health. Ann Behav Med. 2009 Apr;37(2):141-53. doi: 10.1007/s12160-009-9101-z. Epub 2009 May 8.

  PMID: 19424767 BACKGROUND

• Nolan RP, Jong P, Barry-Bianchi SM, Tanaka TH, Floras JS. Effects of drug, biobehavioral and exercise therapies on heart rate variability in coronary artery disease: a systematic review. Eur J Cardiovasc Prev Rehabil. 2008 Aug;15(4):386-96. doi: 10.1097/HJR.0b013e3283030a97.

  PMID: 18677161 BACKGROUND

• Lee SW, Gerdes L, Tegeler CL, Shaltout HA, Tegeler CH. A bihemispheric autonomic model for traumatic stress effects on health and behavior. Front Psychol. 2014 Aug 1;5:843. doi: 10.3389/fpsyg.2014.00843. eCollection 2014.

  PMID: 25136325 BACKGROUND

• Bellesi M, Riedner BA, Garcia-Molina GN, Cirelli C, Tononi G. Enhancement of sleep slow waves: underlying mechanisms and practical consequences. Front Syst Neurosci. 2014 Oct 28;8:208. doi: 10.3389/fnsys.2014.00208. eCollection 2014.

  PMID: 25389394 BACKGROUND

• Gerdes L, Gerdes P, Lee SW, H Tegeler C. HIRREM: a noninvasive, allostatic methodology for relaxation and auto-calibration of neural oscillations. Brain Behav. 2013 Mar;3(2):193-205. doi: 10.1002/brb3.116. Epub 2013 Jan 14.

  PMID: 23532171 BACKGROUND

• Sterling P. Allostasis: a model of predictive regulation. Physiol Behav. 2012 Apr 12;106(1):5-15. doi: 10.1016/j.physbeh.2011.06.004. Epub 2011 Jun 12.

  PMID: 21684297 BACKGROUND

• Tegeler CH, Kumar SR, Conklin D, Lee SW, Gerdes L, Turner DP, Tegeler CL, C Fidali B, Houle TT. Open label, randomized, crossover pilot trial of high-resolution, relational, resonance-based, electroencephalic mirroring to relieve insomnia. Brain Behav. 2012 Nov;2(6):814-24. doi: 10.1002/brb3.101. Epub 2012 Oct 28.

  PMID: 23170244 BACKGROUND

• Tegeler CH, Tegeler CL, Cook JF, Lee SW, Pajewski NM. Reduction in menopause-related symptoms associated with use of a noninvasive neurotechnology for autocalibration of neural oscillations. Menopause. 2015 Jun;22(6):650-5. doi: 10.1097/GME.0000000000000422.

  PMID: 25668305 BACKGROUND

• Tegeler CH, Tegeler CL, Cook JF, Lee SW, Gerdes L, Shaltout HA, Miles CM, Simpson SL. A Preliminary Study of the Effectiveness of an Allostatic, Closed-Loop, Acoustic Stimulation Neurotechnology in the Treatment of Athletes with Persisting Post-concussion Symptoms. Sports Med Open. 2016 Dec;2(1):39. doi: 10.1186/s40798-016-0063-y. Epub 2016 Sep 14.

  PMID: 27747793 BACKGROUND

• Tegeler CL, Gerdes L, Shaltout HA, Cook JF, Simpson SL, Lee SW, Tegeler CH. Successful use of closed-loop allostatic neurotechnology for post-traumatic stress symptoms in military personnel: self-reported and autonomic improvements. Mil Med Res. 2017 Dec 22;4(1):38. doi: 10.1186/s40779-017-0147-0.

  PMID: 29502530 BACKGROUND

• Fortunato JE, Tegeler CL, Gerdes L, Lee SW, Pajewski NM, Franco ME, Cook JF, Shaltout HA, Tegeler CH. Use of an allostatic neurotechnology by adolescents with postural orthostatic tachycardia syndrome (POTS) is associated with improvements in heart rate variability and changes in temporal lobe electrical activity. Exp Brain Res. 2016 Mar;234(3):791-8. doi: 10.1007/s00221-015-4499-y. Epub 2015 Dec 8.

  PMID: 26645307 BACKGROUND

• Tegeler CH, Shaltout HA, Tegeler CL, Gerdes L, Lee SW. Rightward dominance in temporal high-frequency electrical asymmetry corresponds to higher resting heart rate and lower baroreflex sensitivity in a heterogeneous population. Brain Behav. 2015 Jun;5(6):e00343. doi: 10.1002/brb3.343. Epub 2015 May 1.

  PMID: 26085968 BACKGROUND

• Lee SW, Laurienti PJ, Burdette JH, Tegeler CL, Morgan AR, Simpson SL, Gerdes L, Tegeler CH. Functional Brain Network Changes Following Use of an Allostatic, Closed-Loop, Acoustic Stimulation Neurotechnology for Military-Related Traumatic Stress. J Neuroimaging. 2019 Jan;29(1):70-78. doi: 10.1111/jon.12571. Epub 2018 Oct 10.

  PMID: 30302866 BACKGROUND

• Tegeler CL, Howard LJ, Schmidt KD, Cook JF, Kumar S, Simpson SL, Lee SW, Gerdes L, Tegeler CH. 0389 USE OF A CLOSED-LOOP ACOUSTIC STIMULATION NEUROTECHNOLOGY IMPROVES SYMPTOMS OF MODERATE TO SEVERE INSOMNIA: RESULTS OF A PLACEBO-CONTROLLED TRIAL. Sleep. 2017;40:A145-A.

  BACKGROUND

• Shaltout HA, Tegeler CL, Lee SW, Tegeler CH. 0363 IN SUBJECTS WITH INSOMNIA, USE OF A CLOSED-LOOP ACOUSTIC STIMULATION NEUROTECHNOLOGY IMPROVES HEART RATE VARIABILITY AND BAROREFLEX SENSITIVITY: RESULTS OF A PLACEBO-CONTROLLED CLINICAL TRIAL. Sleep. 2017;40:A135-A

  BACKGROUND

• Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Circulation. 1996 Mar 1;93(5):1043-65. No abstract available.

  PMID: 8598068 BACKGROUND

• Kaplan NM RB. Technique of blood pressure measurement in the diagnosis of hypertension. UpToDate. Barkris GL, Sheridan AM, eds. Waltham, MA; 2010.

  BACKGROUND

• Bastien CH, Vallieres A, Morin CM. Validation of the Insomnia Severity Index as an outcome measure for insomnia research. Sleep Med. 2001 Jul;2(4):297-307. doi: 10.1016/s1389-9457(00)00065-4.

  PMID: 11438246 BACKGROUND

• Morin CM, Belleville G, Belanger L, Ivers H. The Insomnia Severity Index: psychometric indicators to detect insomnia cases and evaluate treatment response. Sleep. 2011 May 1;34(5):601-8. doi: 10.1093/sleep/34.5.601.

  PMID: 21532953 BACKGROUND

• Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989 May;28(2):193-213. doi: 10.1016/0165-1781(89)90047-4.

  PMID: 2748771 BACKGROUND

• Radloff LS. The CES-D Scale: A Self-Report Depression Scale for Research in the General Population. Applied Psychological Measurement. 1977;1:385-401.

  BACKGROUND

• Smarr KL, Keefer AL. Measures of depression and depressive symptoms: Beck Depression Inventory-II (BDI-II), Center for Epidemiologic Studies Depression Scale (CES-D), Geriatric Depression Scale (GDS), Hospital Anxiety and Depression Scale (HADS), and Patient Health Questionnaire-9 (PHQ-9). Arthritis Care Res (Hoboken). 2011 Nov;63 Suppl 11:S454-66. doi: 10.1002/acr.20556. No abstract available.

  PMID: 22588766 BACKGROUND

• Spitzer RL, Kroenke K, Williams JB, Lowe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006 May 22;166(10):1092-7. doi: 10.1001/archinte.166.10.1092.

  PMID: 16717171 BACKGROUND

• FW W, BT L, DS H, JA H, TM K. The PTSD Checklist (PCL): Reliability, validity, and diagnostic utility. 9th Annual Meeting of the International Society for Traumatic Stress Studies. San Antonio, TX.

  BACKGROUND

• Blanchard EB, Jones-Alexander J, Buckley TC, Forneris CA. Psychometric properties of the PTSD Checklist (PCL). Behav Res Ther. 1996 Aug;34(8):669-73. doi: 10.1016/0005-7967(96)00033-2.

  PMID: 8870294 BACKGROUND

• Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983 Dec;24(4):385-96. No abstract available.

  PMID: 6668417 BACKGROUND

• Offenbacher M, Sauer S, Kohls N, Waltz M, Schoeps P. Quality of life in patients with fibromyalgia: validation and psychometric properties of the German Quality of Life Scale (QOLS-G). Rheumatol Int. 2012 Oct;32(10):3243-52. doi: 10.1007/s00296-011-2184-4. Epub 2011 Oct 30.

  PMID: 22038277 BACKGROUND

• Burckhardt CS, Anderson KL. The Quality of Life Scale (QOLS): reliability, validity, and utilization. Health Qual Life Outcomes. 2003 Oct 23;1:60. doi: 10.1186/1477-7525-1-60.

  PMID: 14613562 BACKGROUND

• Burckhardt CS, Woods SL, Schultz AA, Ziebarth DM. Quality of life of adults with chronic illness: a psychometric study. Res Nurs Health. 1989 Dec;12(6):347-54. doi: 10.1002/nur.4770120604.

  PMID: 2602575 BACKGROUND

• Lee PH, Macfarlane DJ, Lam TH, Stewart SM. Validity of the International Physical Activity Questionnaire Short Form (IPAQ-SF): a systematic review. Int J Behav Nutr Phys Act. 2011 Oct 21;8:115. doi: 10.1186/1479-5868-8-115.

  PMID: 22018588 BACKGROUND

• Eckner JT, Kutcher JS, Richardson JK. Pilot evaluation of a novel clinical test of reaction time in national collegiate athletic association division I football players. J Athl Train. 2010 Jul-Aug;45(4):327-32. doi: 10.4085/1062-6050-45.4.327.

  PMID: 20617905 BACKGROUND

• Roberts HC, Denison HJ, Martin HJ, Patel HP, Syddall H, Cooper C, Sayer AA. A review of the measurement of grip strength in clinical and epidemiological studies: towards a standardised approach. Age Ageing. 2011 Jul;40(4):423-9. doi: 10.1093/ageing/afr051. Epub 2011 May 30.

  PMID: 21624928 BACKGROUND

• Bradley KA, Bush KR, Epler AJ, Dobie DJ, Davis TM, Sporleder JL, Maynard C, Burman ML, Kivlahan DR. Two brief alcohol-screening tests From the Alcohol Use Disorders Identification Test (AUDIT): validation in a female Veterans Affairs patient population. Arch Intern Med. 2003 Apr 14;163(7):821-9. doi: 10.1001/archinte.163.7.821.

  PMID: 12695273 BACKGROUND

• Bush K, Kivlahan DR, McDonell MB, Fihn SD, Bradley KA. The AUDIT alcohol consumption questions (AUDIT-C): an effective brief screening test for problem drinking. Ambulatory Care Quality Improvement Project (ACQUIP). Alcohol Use Disorders Identification Test. Arch Intern Med. 1998 Sep 14;158(16):1789-95. doi: 10.1001/archinte.158.16.1789.

  PMID: 9738608 BACKGROUND

• Bradley KA, DeBenedetti AF, Volk RJ, Williams EC, Frank D, Kivlahan DR. AUDIT-C as a brief screen for alcohol misuse in primary care. Alcohol Clin Exp Res. 2007 Jul;31(7):1208-17. doi: 10.1111/j.1530-0277.2007.00403.x. Epub 2007 Apr 19.

  PMID: 17451397 BACKGROUND

MeSH Terms

Conditions

Psychophysiologic Disorders; Primary Dysautonomias; Sleep Initiation and Maintenance Disorders; Anxiety Disorders

Condition Hierarchy (Ancestors)

Neurologic Manifestations; Signs and Symptoms; Pathological Conditions, Signs and Symptoms; Autonomic Nervous System Diseases; Nervous System Diseases; Sleep Disorders, Intrinsic; Dyssomnias; Sleep Wake Disorders; Mental Disorders

Study Officials

• Charles Tegeler, MD

  Wake Forest University Health Sciences

  PRINCIPAL INVESTIGATOR

Central Study Contacts

Kenzie Brown

CONTACT

336-716-9447; BBRP@wakehealth.edu

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: SUPPORTIVE CARE
• Intervention Model: SINGLE GROUP
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Model Details: This will be a single site, open label, pilot clinical trial, enrolling people aged 11 or older, who have self-reported symptoms of stress, anxiety, or insomnia, and meet a threshold score on self-reported inventories. Up to 200 participants will be enrolled so as to gather pilot data that will help inform regarding effect size, and dosing to support future cohort-specific randomized trials. Participants will receive between 4 and 12 intervention sessions of Cereset Research consisting of audible tones echoing current brainwave activity.

Study Record Dates

• First Submitted: December 14, 2018
• First Posted: December 17, 2018
• Study Start: April 12, 2019
• Primary Completion (Estimated): April 1, 2028
• Study Completion (Estimated): April 1, 2028
• Last Updated: May 4, 2026

Record last verified: 2025-07

Data Sharing

• IPD Sharing: Will not share

Locations

US (1)