- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07288593
INSIGHT: Insomnia, Nightmares, and Sympathetic Hyperactivity Intervention (INSIGHT)
Insomnia, Nightmares, and Sympathetic Hyperactivity Intervention in the warfiGHTer (INSIGHT)
The INSIGHT study is a multi-site clinical research program designed to examine how insomnia and symptoms of sympathetic hyperactivity impair sleep, cognition, and physiological restoration in warfighters, and to evaluate whether a wearable therapeutic device can improve these outcomes. Warfighters with a history of traumatic brain injury, post-traumatic stress disorder, or chronic operational stress commonly report disrupted sleep accompanied by manifestations of nocturnal sympathetic activation such as diaphoresis, palpitations, hyperarousal, and nightmares. These symptoms erode sleep quality, reduce cognitive performance, and undermine psychological resilience and operational readiness. Insomnia is two to three times more common in military populations than in civilians, and both TBI and PTSD independently elevate the risk for dysregulated autonomic tone. Excessive sympathetic activity during REM sleep disrupts the normally quiescent locus coeruleus state required for adaptive emotional processing and may contribute to the genesis of nightmares. Excessive sympathetic tone may also interfere with deep NREM-dependent glymphatic clearance, a recently discovered mechanism that supports cognitive restoration and metabolic waste removal. Yet, no study has comprehensively linked these physiological processes in warfighters or evaluated whether wearable-derived autonomic measures can meaningfully stratify insomnia phenotypes. The INSIGHT protocol addresses this gap through a two-phase design integrating multimodal biomarker collection, wearable technology validation, advanced imaging, and a randomized controlled intervention. Phase 1 enrolls 250 participants (50 healthy controls and 200 poor sleepers with or without PTSD and TBI) who undergo structured screening, cognitive testing, and detailed baseline assessments before completing a 2-week at-home data collection period. During this period, participants wear a suite of devices, including EEG headbands, ECG patches, PPG-based sensors, accelerometry rings, blood pressure devices, temperature sensors, and smartwatches, to capture autonomic activity, sleep architecture, cardiovascular and respiratory variability, movement, sudomotor activity, and circadian body temperature patterns. Ecological momentary assessments administered three times daily track fluctuations in sleep quality, mood, PTSD symptoms, and daytime functioning, while urine samples collected on the final three days allow for biochemical analysis of hormonal and sympathetic biomarkers. After the at-home period, all participants complete an overnight in-lab polysomnogram combined with fNIRS to measure sleep stages, autonomic dynamics, cerebral hemodynamics, and glymphatic signatures. A subset of participants also completes an optional overnight MRI with simultaneous EEG following controlled sleep deprivation, enabling state-of-the-art imaging of human glymphatic activity using the MAGNUS MRI platform. This optional visit provides unprecedented insight into how TBI, PTSD, and insomnia alter the physiology of sleep-dependent brain fluid dynamics. In Phase 2, all poor sleepers enter a double-blind, sham-controlled, 30-day randomized trial testing the therapeutic potential of the NightWare smartwatch. NightWare detects sympathetic surges during sleep through heart rate elevations and movement patterns and delivers brief haptic vibrations aimed at interrupting escalating autonomic arousal. Although originally cleared for nightmare treatment, its mechanism is well suited for SNH-related insomnia more broadly. Participants use the device daily while continuing EMA surveys, wearable monitoring, and cognitive assessments, generating rich physiological and behavioral data throughout the intervention. The primary goal is to determine whether reducing nocturnal sympathetic spikes leads to measurable improvements in sleep quality, autonomic stability, daytime functioning, and symptom burden. In parallel, Phase 2 data enable development of the Multi-Organ Autonomic Index of Sleep, an integrated biomarker model that combines neurological, cardiovascular, respiratory, and dermal signals to predict treatment response and classify insomnia subtypes.
The INSIGHT study will produce the most comprehensive dataset to date linking autonomic physiology, glymphatic function, sleep architecture, wearable-derived biomarkers, cognition, and clinical outcomes in warfighters. By identifying physiological signatures of sympathetic hyperarousal and determining whether a non-pharmacological wearable intervention can meaningfully improve sleep, INSIGHT directly supports Department of Defense priorities to enhance readiness, resilience, and long-term neurological health in service members. Wearable tools capable of monitoring and improving sleep outside the laboratory have the potential to transform both clinical care and operational performance, offering scalable and accessible approaches to restoring sleep and optimizing recovery.
Study Overview
Status
Detailed Description
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Kent Werner, MD/PhD
- Phone Number: 3012953840
- Email: kent.werner@usuhs.edu
Study Contact Backup
- Name: Elizabeth Metzger
- Email: elizabeth.metzger.ctr@usuhs.edu
Study Locations
-
-
Maryland
-
Bethesda, Maryland, United States, 20814
- Walter Reed National Military Medical Center/Uniformed Services University
-
Contact:
- Kent CDR Werner, MD/Ph.D.
- Phone Number: 301-295-3840
- Email: kent.werner@usuhs.edu
-
-
Minnesota
-
Minneapolis, Minnesota, United States, 55455
- University of Minnesota
-
Contact:
- Nicholas Dr. Davenport, Ph.D.
- Phone Number: 612-626-4430
- Email: daven012@umn.edu
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Defense Enrollment Eligibility Reporting System (DEERS) Eligible
- Current or former military service member
- Able to read and understand English language without the use of an interpreter
- Habitual bedtime between 9:00 PM and 1:00 AM
- Aged 18-62 (inclusive)
- Able to commit to study procedures
Exclusion Criteria:
- Use of alpha or beta-receptor active medications or prescribed sleep aids in the last 3 months
- Started use of SNRIs or SSRIs in the last 3 months
- Pregnant
- Receiving ongoing and extensive treatment for a new or acute psychiatric disorder within 90 days, other than routine follow-up and care
- Starting concurrent evidence based psychiatric treatment within the past three months
- Diagnosis of a serious medical condition (i.e., late-stage cancer or heart disease)
- Routine night shift work in the past 3 months
- Unstable neurological disease/autonomic disorders/ heart conditions/psych/ sleep or other unstable disorder as determined by the Principal Investigator/Associate
- Investigators determined by clinical interview by Mini international neuropsychiatric interview and medical health questionnaire
- Excessive alcohol use as determined by the AUDIT-C (AUDIT-C > 3)
- Started using any other medication (prescribed or over-the-counter) for the purpose of improving sleep in the last 90 days (e.g., barbiturates, benzodiazepines, melatonin, natural supplements and herbs, antidepressants, antihistamines, etc.)
- Receiving treatment for substance use disorder within 90 days from the start of the study
- Evidence of moderate or severe Obstructive Sleep Apnea (OSA): Determined by the STOP-BANG questionnaire: STOP-BANG greater than 5 Determined by EMR PSG records: moderate or severe OSA [apnea-hypopnea index (AHI)≥15]
- Clinically significant suicidality as assessed by the Columbia-Suicide Severity Rating Scale (C-SSRS)
- Currently participating in other research studies for improving sleep
- Currently participating in other research studies for improving PTSD
- Currently in therapy for the primary purpose of improving sleep (e.g., CBT-I)
- Currently undergoing other treatment to improve sleep (e.g., acupuncture)
- History or diagnosis of any of the following sleep disorders: narcolepsy, shift-work disorder or circadian rhythm disorders
- Prone to problems with venipuncture including fainting, hematoma, and infection
- Moderate and high nicotine dependence based on the Fagerstrom Test for Nicotine Dependence (> 4 on the Fagerstrom Test for Nicotine Dependence) High caffeine dependence based on the Caffeine Dependence Questionnaire (> 30 on the Caffeine Dependence Questionnaire)
- Currently experiencing a neurological disorder (e.g., stroke, Parkinson's, MS, etc.)
- Exclusion for optional MRI visit:
Metal in body that is ferromagnetic / incompatible with MRI or other safety issues and indicated by screen Previous adverse reactions to sleep deprivation Illicit drug use as determined by participant self-report Alcohol in system at time of MRI overnight as determined participant self report Nicotine use in the last 3 months
For poor sleep group:
TBI History of epilepsy or suspected seizure disorder.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Triple
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Sham Comparator: Control Arm
Participants assigned to the sham intervention receive an outwardly identical NightWare smartwatch that does not deliver haptic interventions in response to stress physiology.
The sham device collects the same passive physiological data but does not actively attempt to modify sleep or autonomic activity.
This arm controls for placebo effects, device expectations, and nightly wear.
Participants follow the same 30-day procedures, including daily surveys and physiological sensor wear, ensuring all aspects of participation are identical except for the therapeutic haptic function.
|
NW device that does not deliver any intervention
|
|
Experimental: Intervention Arm
Participants assigned to the active intervention receive a functioning NightWare smartwatch configured to detect physiological signs of sympathetic activation during sleep, such as heart-rate spikes and movement patterns.
When these stress signals exceed a preset threshold, the device delivers brief, gentle haptic vibrations designed to interrupt escalating autonomic arousal without fully awakening the user.
The goal is to reduce nighttime sympathetic hyperactivity, improve sleep continuity, and alleviate insomnia symptoms.
Participants wear the device nightly for 30 days and complete daily surveys and physiological monitoring to assess treatment effects.
|
Participants assigned to the active intervention receive a functioning NightWare smartwatch configured to detect physiological signs of sympathetic activation during sleep, such as heart-rate spikes and movement patterns.
When these stress signals exceed a preset threshold, the device delivers brief, gentle haptic vibrations designed to interrupt escalating autonomic arousal without fully awakening the user.
The goal is to reduce nighttime sympathetic hyperactivity, improve sleep continuity, and alleviate insomnia symptoms.
Participants wear the device nightly for 30 days and complete daily surveys and physiological monitoring to assess treatment effects.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
NW efficacy towards sleep quality improvement
Time Frame: 30 days
|
Compare Pittsburgh Sleep Quality Index (PSQI) pre- and post-intervention
|
30 days
|
|
Autonomic predictors of response to treatment
Time Frame: 30 days
|
Predict response to therapy using a model of baseline sympathetic measurements, a "Multi-organ Autonomic Index of Sleep"(MAIS).
This model will predict sleep quality using a composite measure of heart rate variability, electrodermal activity, k-complex EEG occurences, estimated locus coruleus activity, and urine noradrenaline.
|
30 days
|
Collaborators and Investigators
Publications and helpful links
General Publications
- Raikes AC, Dailey NS, Forbeck B, Alkozei A, Killgore WDS. Daily Morning Blue Light Therapy for Post-mTBI Sleep Disruption: Effects on Brain Structure and Function. Front Neurol. 2021 Feb 5;12:625431. doi: 10.3389/fneur.2021.625431. eCollection 2021.
- Lin HT, Lai CH, Perng HJ, Chung CH, Wang CC, Chen WL, Chien WC. Insomnia as an independent predictor of suicide attempts: a nationwide population-based retrospective cohort study. BMC Psychiatry. 2018 May 2;18(1):117. doi: 10.1186/s12888-018-1702-2.
- Tubbs AS, Perlis ML, Basner M, Chakravorty S, Khader W, Fernandez F, Grandner MA. Relationship of Nocturnal Wakefulness to Suicide Risk Across Months and Methods of Suicide. J Clin Psychiatry. 2020 Feb 25;81(2):19m12964. doi: 10.4088/JCP.19m12964.
- Cappuccio FP, Cooper D, D'Elia L, Strazzullo P, Miller MA. Sleep duration predicts cardiovascular outcomes: a systematic review and meta-analysis of prospective studies. Eur Heart J. 2011 Jun;32(12):1484-92. doi: 10.1093/eurheartj/ehr007. Epub 2011 Feb 7.
- Caldwell JA, Knapik JJ, Shing TL, Kardouni JR, Lieberman HR. The association of insomnia and sleep apnea with deployment and combat exposure in the entire population of US army soldiers from 1997 to 2011: a retrospective cohort investigation. Sleep. 2019 Aug 1;42(8):zsz112. doi: 10.1093/sleep/zsz112.
- Yaffe K, Vittinghoff E, Lindquist K, Barnes D, Covinsky KE, Neylan T, Kluse M, Marmar C. Posttraumatic stress disorder and risk of dementia among US veterans. Arch Gen Psychiatry. 2010 Jun;67(6):608-13. doi: 10.1001/archgenpsychiatry.2010.61.
- Davenport ND, Werner JK. A randomized sham-controlled clinical trial of a novel wearable intervention for trauma-related nightmares in military veterans. J Clin Sleep Med. 2023 Feb 1;19(2):361-369. doi: 10.5664/jcsm.10338.
- Naegeli C, Zeffiro T, Piccirelli M, Jaillard A, Weilenmann A, Hassanpour K, Schick M, Rufer M, Orr SP, Mueller-Pfeiffer C. Locus Coeruleus Activity Mediates Hyperresponsiveness in Posttraumatic Stress Disorder. Biol Psychiatry. 2018 Feb 1;83(3):254-262. doi: 10.1016/j.biopsych.2017.08.021. Epub 2017 Sep 7.
- Sara SJ. The locus coeruleus and noradrenergic modulation of cognition. Nat Rev Neurosci. 2009 Mar;10(3):211-23. doi: 10.1038/nrn2573. Epub 2009 Feb 4.
- George SA, Knox D, Curtis AL, Aldridge JW, Valentino RJ, Liberzon I. Altered locus coeruleus-norepinephrine function following single prolonged stress. Eur J Neurosci. 2013 Mar;37(6):901-9. doi: 10.1111/ejn.12095. Epub 2012 Dec 20.
- Lampert R, Tuit K, Hong KI, Donovan T, Lee F, Sinha R. Cumulative stress and autonomic dysregulation in a community sample. Stress. 2016 May;19(3):269-79. doi: 10.1080/10253890.2016.1174847. Epub 2016 Apr 25.
- Sivertsen B, Omvik S, Pallesen S, Bjorvatn B, Havik OE, Kvale G, Nielsen GH, Nordhus IH. Cognitive behavioral therapy vs zopiclone for treatment of chronic primary insomnia in older adults: a randomized controlled trial. JAMA. 2006 Jun 28;295(24):2851-8. doi: 10.1001/jama.295.24.2851.
- Leng Y, Byers AL, Barnes DE, Peltz CB, Li Y, Yaffe K. Traumatic Brain Injury and Incidence Risk of Sleep Disorders in Nearly 200,000 US Veterans. Neurology. 2021 Mar 30;96(13):e1792-e1799. doi: 10.1212/WNL.0000000000011656. Epub 2021 Mar 3.
- Chen PL, Lee WJ, Sun WZ, Oyang YJ, Fuh JL. Risk of dementia in patients with insomnia and long-term use of hypnotics: a population-based retrospective cohort study. PLoS One. 2012;7(11):e49113. doi: 10.1371/journal.pone.0049113. Epub 2012 Nov 7.
- Yaffe K, Nettiksimmons J, Yesavage J, Byers A. Sleep Quality and Risk of Dementia Among Older Male Veterans. Am J Geriatr Psychiatry. 2015 Jun;23(6):651-4. doi: 10.1016/j.jagp.2015.02.008. Epub 2015 Feb 21.
- Sexton CE, Storsve AB, Walhovd KB, Johansen-Berg H, Fjell AM. Poor sleep quality is associated with increased cortical atrophy in community-dwelling adults. Neurology. 2014 Sep 9;83(11):967-73. doi: 10.1212/WNL.0000000000000774. Epub 2014 Sep 3.
- von Ruesten A, Weikert C, Fietze I, Boeing H. Association of sleep duration with chronic diseases in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam study. PLoS One. 2012;7(1):e30972. doi: 10.1371/journal.pone.0030972. Epub 2012 Jan 25.
- Cappuccio FP, Miller MA. Sleep and Cardio-Metabolic Disease. Curr Cardiol Rep. 2017 Sep 19;19(11):110. doi: 10.1007/s11886-017-0916-0.
- Joo EY, Kim H, Suh S, Hong SB. Hippocampal substructural vulnerability to sleep disturbance and cognitive impairment in patients with chronic primary insomnia: magnetic resonance imaging morphometry. Sleep. 2014 Jul 1;37(7):1189-98. doi: 10.5665/sleep.3836.
- Erickson EA, Stahlman S, McNellis MG. Insomnia and motor vehicle accident-related injuries, active component, U.S. Armed Forces, 2007-2016. MSMR. 2017 Dec;24(12):2-11.
- Olaithe M, Ree M, McArdle N, Donaldson S, Pushpanathan M, Eastwood PR, Bucks RS. Cognitive Dysfunction in Insomnia Phenotypes: Further Evidence for Different Disorders. Front Psychiatry. 2021 Jul 19;12:688672. doi: 10.3389/fpsyt.2021.688672. eCollection 2021.
- Mysliwiec V, McGraw L, Pierce R, Smith P, Trapp B, Roth BJ. Sleep disorders and associated medical comorbidities in active duty military personnel. Sleep. 2013 Feb 1;36(2):167-74. doi: 10.5665/sleep.2364.
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Trauma and Stressor Related Disorders
- Neurologic Manifestations
- Nervous System Diseases
- Mental Disorders
- Sleep Disorders, Intrinsic
- Dyssomnias
- Parasomnias
- Stress Disorders, Traumatic
- REM Sleep Parasomnias
- Pathological Conditions, Signs and Symptoms
- Signs and Symptoms
- Sleep Initiation and Maintenance Disorders
- Sleep Wake Disorders
- Stress Disorders, Post-Traumatic
- REM Sleep Behavior Disorder
Other Study ID Numbers
- USUHS.2024-136
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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