Enhanced amygdala-cingulate connectivity associates with better mood in both healthy and depressive individuals after sleep deprivation.

Sleep loss robustly disrupts mood and emotion regulation in healthy individuals but can have a transient antidepressant effect in a subset of patients with depression. The neural mechanisms underlying this paradoxical effect remain unclear. Previous studies suggest that the amygdala and dorsal nexus (DN) play key roles in depressive mood regulation. Here, we used functional MRI to examine associations between amygdala- and DN-related resting-state connectivity alterations and mood changes after one night of total sleep deprivation (TSD) in both healthy adults and patients with major depressive disorder using strictly controlled in-laboratory studies. Behavioral data showed that TSD increased negative mood in healthy participants but reduced depressive symptoms in 43% of patients. Imaging data showed that TSD enhanced both amygdala- and DN-related connectivity in healthy participants. Moreover, enhanced amygdala connectivity to the anterior cingulate cortex (ACC) after TSD associated with better mood in healthy participants and antidepressant effects in depressed patients. These findings support the key role of the amygdala-cingulate circuit in mood regulation in both healthy and depressed populations and suggest that rapid antidepressant treatment may target the enhancement of amygdala-ACC connectivity.

Resting-state functional connectivity changes in older adults with sleep disturbance and the role of amyloid burden.

Sleep and related disorders could lead to changes in various brain networks, but little is known about the role of amyloid ß (Aß) burden-a key Alzheimer's disease (AD) biomarker-in the relationship between sleep disturbance and altered resting state functional connectivity (rsFC) in older adults. This cross-sectional study examined the association between sleep disturbance, Aß burden, and rsFC using a large-scale dataset from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Sample included 489 individuals (53.6% cognitively normal, 32.5% mild cognitive impairment, and 13.9% AD) who had completed sleep measures (Neuropsychiatric Inventory), PET Aß data, and resting-state fMRI scans at baseline. Within and between rsFC of the Salience (SN), the Default Mode (DMN) and the Frontal Parietal network (FPN) were compared between participants with sleep disturbance versus without sleep disturbance. The interaction between Aß positivity and sleep disturbance was evaluated using the linear regressions, controlling for age, diagnosis status, gender, sedatives and hypnotics use, and hypertension. Although no significant main effect of sleep disturbance was found on rsFC, a significant interaction term emerged between sleep disturbance and Aß burden on rsFC of SN (ß = 0.11, P = 0.006). Specifically, sleep disturbance was associated with SN hyperconnectivity, only with the presence of Aß burden. Sleep disturbance may lead to altered connectivity in the SN when Aß is accumulated in the brain. Individuals with AD pathology may be at increased risk for sleep-related aberrant rsFC; therefore, identifying and treating sleep problems in these individuals may help prevent further disease progression.

Potential genetic and epigenetic mechanisms in insomnia: A systematic review.

Insomnia is a stress-related sleep disorder conceptualised within a diathesis-stress framework, which it is thought to result from predisposing factors interacting with precipitating stressful events that trigger the development of insomnia. Among predisposing factors genetics and epigenetics may play a role. A systematic review of the current evidence for the genetic and epigenetic basis of insomnia was conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) system. A total of 24 studies were collected for twins and family heritability, 55 for genome-wide association studies, 26 about candidate genes for insomnia, and eight for epigenetics. Data showed that insomnia is a complex polygenic stress-related disorder, and it is likely to be caused by a synergy of genetic and environmental factors, with stress-related sleep reactivity being the important trait. Even if few studies have been conducted to date on insomnia, epigenetics may be the framework to understand long-lasting consequences of the interaction between genetic and environmental factors and effects of stress on the brain in insomnia. Interestingly, polygenic risk for insomnia has been causally linked to different mental and medical disorders. Probably, by treating insomnia it would be possible to intervene on the effect of stress on the brain and prevent some medical and mental conditions.

Sleep Disturbances Associated With Posttraumatic Stress Disorder.

Sleep disturbances, namely insomnia and recurrent nightmares, are ubiquitous following trauma exposure and are considered hallmarks of posttraumatic stress disorder (PTSD). Other sleep disorders frequently co-occur with PTSD. This article describes research examining sleep problems most common in PTSD, including prevalence and clinical characteristics. Sleep disturbances are often robust to trauma-focused treatment; thus, evidence for psychological and pharmacological interventions for insomnia and nightmares in PTSD are discussed. Given the high prevalence of sleep problems in PTSD, more work is needed to empirically study putative mechanisms linking trauma exposure and sleep, as well as how to best target these symptoms in patients with PTSD.

Hyperarousal and Insomnia in Survivors of Cancer.

BACKGROUND: Cancer survivors are prone to insomnia due to the physical and psychological sequelae of cancer and treatment. Individuals with insomnia may present symptoms of hyperarousal. Cancer survivors with insomnia and trait hyperarousal may require different clinical treatments than patients with insomnia without trait hyperarousal. To our knowledge, no study has examined these factors previously. This study examined the relation between insomnia and trait hyperarousal in cancer survivors. METHODS: The sample included 160 individuals with previous cancer diagnoses who met DSM-5 criteria for insomnia disorder. Measures were collected with cross-sectional batteries of questionnaires, including the Insomnia Severity Index (ISI) and Hyperarousal Scale (HAS). This study is based on baseline data collected in a randomized clinical trial comparing CBT-I to acupuncture for cancer survivors with insomnia (Garland, Gehrman, Barg, Xie, & Mao, 2016). RESULTS: Hyperarousal was positively associated with insomnia (ISI total score) in bivariate correlations (r = .350, p < .01) and linear regressions (F = 22.06, p < .001). In bivariate correlations, hyperarousal was related to perceptions about the consequences of disturbed sleep rather than reported sleep patterns. For example, hyperarousal was positively related to reported satisfaction (r = .159, p < .05) and worry about sleep (r = .415, p < .01), but not to falling asleep, staying asleep, or awakening too early. In regressions, younger age, insomnia duration, and worry about sleep were uniquely associated with hyperarousal when adjusting for insomnia (B = 0.200, B = 0.177, B = -0.182, p < .05). CONCLUSIONS: Hyperarousal is associated with psychological appraisal of insomnia rather than reported sleep pattern. Younger age and longer duration of insomnia are associated with trait hyperarousal. These findings suggest targeting trait hyperarousal with amplified psychological treatment may lead to more personalized, effective treatment for insomnia.

Cancer Survivors' Beliefs About the Causes of Their Insomnia: Associations of Causal Attributions With Survivor Characteristics.

Objectives: Insomnia is common among cancer survivors, yet survivors' beliefs about their insomnia following cancer are largely unknown. This study describes cancer survivors' causal attributions of insomnia and whether these beliefs differ by sociodemographic characteristics. Participants: 160 cancer survivors meeting diagnostic criteria for insomnia disorder. Methods: Survivors endorsed how likely they believed 12 different factors were causally related to their insomnia and self-reported sociodemographics. Multinomial logistic regression tested associations between attribution endorsement and sociodemographics. Latent class analysis (LCA) examined patterns of attribution endorsement and whether sociodemographics were associated. Results: One hundred fifty-four survivors (96%) endorsed that at least 1 causal attribution was likely related to their insomnia. Most survivors endorsed that emotions (77%), thinking patterns (76%), sleep-related emotions (65%), and sleep-related thoughts (57%) were related to their insomnia, similar to data previously published among healthy persons with insomnia. Younger participants were more likely to endorse that biochemical factors related to their insomnia (ps < .02); females were more likely to endorse that hormonal factors related to their insomnia (ps < .001). LCA identified three classes (AIC = 3209.50, BIC = 3485.13). Approximately 40% of survivors endorsed most of the causal attributions were likely related to their insomnia; 13% frequently endorsed attributions were neither likely nor unlikely to be related. Older survivors were more likely to belong to the 47% who reported most attributions were unlikely related to their insomnia (p = .03). Conclusions: Cancer survivors with insomnia commonly endorsed that thoughts and emotions contributed to their sleep disturbance. Survivors' sociodemographic characteristics did not meaningfully explain individual differences for most causal attribution beliefs.

Insomnia Symptoms and Suicide-Related Ideation in U.S. Army Service Members.

Background: Insomnia has been identified as a key risk factor for suicide, though most studies have been limited to global measures of these constructs. The aim of the present study was to evaluate the link between insomnia symptoms and five different aspects of suicide-related ideation. Participants: 1,160 active U.S. Army service members (719 male; Mage = 31.2; SDage = 8.62). Methods: As part of an archival analysis, retrospectively assessed insomnia, depression, anxiety symptoms, as well as suicide-related ideation, were evaluated. Suicide-related ideation was assessed in terms of: thoughts of death, thoughts of suicide, suicidal plan, suicidal intent, and suicidal communication. Results: Subjects with clinically significant insomnia symptoms were 3.5 times more likely to report any suicide-related ideation, and approximately 3 times more likely to report thoughts of death and thoughts of suicide. More frequent nocturnal awakenings (i.e., waking up three or more times during a single night) were associated with a greater likelihood of reporting thoughts of death or suicide, whereas greater middle insomnia (i.e., waking up and having difficulty getting back to sleep) was associated with lower odds of experiencing thoughts of suicide, suicidal plan, and suicidal intent. Conclusions: A more refined delineation of insomnia and suicide-related ideation may serve to clarify the nature of the association, and potentially offer some clues as to the underlying mechanisms. With regard to potential clinical implications, the results support that careful assessment of insomnia symptoms, suicide-related ideation, and their respective subtypes, is important and may influence how we estimate risk for suicide.

Genetic polymorphisms associated with sleep-related phenotypes; relationships with individual nocturnal symptoms of insomnia in the HUNT study.

BACKGROUND: In recent years, several GWAS (genome wide association studies) of sleep-related traits have identified a number of SNPs (single nucleotides polymorphism) but their relationships with symptoms of insomnia are not known. The aim of this study was to investigate whether SNPs, previously reported in association with sleep-related phenotypes, are associated with individual symptoms of insomnia. METHODS: We selected participants from the HUNT study (Norway) who reported at least one symptom of insomnia consisting of sleep onset, maintenance or early morning awakening difficulties, (cases, N = 2563) compared to participants who presented no symptoms at all (controls, N = 3665). Cases were further divided in seven subgroups according to different combinations of these three symptoms. We used multinomial logistic regressions to test the association among different patterns of symptoms and 59 SNPs identified in past GWAS studies. RESULTS: Although 16 SNPS were significantly associated (p < 0.05) with at least one symptom subgroup, none of the investigated SNPs remained significant after correction for multiple testing using the false discovery rate (FDR) method. CONCLUSIONS: SNPs associated with sleep-related traits do not replicate on any pattern of insomnia symptoms after multiple tests correction. However, correction in this case may be overly conservative.

An Integrated Model of Slow-Wave Activity and Neuroplasticity Impairments in Major Depressive Disorder.

PURPOSE OF REVIEW: In this review, we aim to integrate the most recent research highlighting alterations in sleep slow-wave activity (SWA), and impairments in neuroplasticity in major depressive disorder (MDD) into a novel model of disorder maintenance. RECENT FINDINGS: Sleep homeostasis has been shown to be impaired in MDD, with a subset of individuals also demonstrating impaired SWA. SWA is considered a marker of the homeostatic regulation of sleep, and is implicated in the downscaling of synaptic strength in the context of maintaining homeostatic plasticity. Individuals with MDD have been shown to exhibit impairments in both neural plasticity such as loss of dendritic branching, and synaptic plasticity such as decreased long-term potentiation-dependent learning and memory. Alterations in the homeostatic regulation of sleep, SWA, and synaptic plasticity in MDD suggest an underlying impairment in the modulation of synaptic strength. One candidate mechanism for this impairment is AMPA receptor trafficking.

A Review of the Relationship Between Emotional Learning and Memory, Sleep, and PTSD.

PURPOSE OF REVIEW: The emotional memory and learning model of PTSD posits maladaptive fear conditioning, extinction learning, extinction recall, and safety learning as central mechanisms to PTSD. There is increasingly convincing support that sleep disturbance plays a mechanistic role in these processes. The current review consolidates the evidence on the relationships between emotional memory and learning, disturbed sleep, and PTSD acquisition, maintenance, and treatment. RECENT FINDINGS: While disrupted sleep prior to trauma predicts PTSD onset, maladaptive fear acquisition does not seem to be the mechanism through which PTSD is acquired. Rather, poor extinction learning/recall and safety learning seem to better account for who maintains acute stress responses from trauma versus who naturally recovers; there is convincing evidence that this process is, at least in part, mediated by REM fragmentation. Individuals with PTSD had higher "fear load" during extinction, worse extinction learning, poorer extinction recall, and worse safety learning. Evidence suggests that these processes are also mediated by fragmented REM. Finally, PTSD treatments that require extinction and safety learning may also be affected by REM fragmentation. Addressing fragmented sleep or sleep architecture could be used to increase emotional memory and learning processes and thus ameliorate responses to trauma exposure, reduce PTSD severity, and improve treatment. Future studies should examine relationships between emotional memory and learning and disturbed sleep in clinical PTSD patients.

Genome-Wide Association Analyses in 128,266 Individuals Identifies New Morningness and Sleep Duration Loci.

Disrupted circadian rhythms and reduced sleep duration are associated with several human diseases, particularly obesity and type 2 diabetes, but until recently, little was known about the genetic factors influencing these heritable traits. We performed genome-wide association studies of self-reported chronotype (morning/evening person) and self-reported sleep duration in 128,266 white British individuals from the UK Biobank study. Sixteen variants were associated with chronotype (P<5x10-8), including variants near the known circadian rhythm genes RGS16 (1.21 odds of morningness, 95% CI [1.15, 1.27], P = 3x10-12) and PER2 (1.09 odds of morningness, 95% CI [1.06, 1.12], P = 4x10-10). The PER2 signal has previously been associated with iris function. We sought replication using self-reported data from 89,283 23andMe participants; thirteen of the chronotype signals remained associated at P<5x10-8 on meta-analysis and eleven of these reached P<0.05 in the same direction in the 23andMe study. We also replicated 9 additional variants identified when the 23andMe study was used as a discovery GWAS of chronotype (all P<0.05 and meta-analysis P<5x10-8). For sleep duration, we replicated one known signal in PAX8 (2.6 minutes per allele, 95% CI [1.9, 3.2], P = 5.7x10-16) and identified and replicated two novel associations at VRK2 (2.0 minutes per allele, 95% CI [1.3, 2.7], P = 1.2x10-9; and 1.6 minutes per allele, 95% CI [1.1, 2.2], P = 7.6x10-9). Although we found genetic correlation between chronotype and BMI (rG = 0.056, P = 0.05); undersleeping and BMI (rG = 0.147, P = 1x10-5) and oversleeping and BMI (rG = 0.097, P = 0.04), Mendelian Randomisation analyses, with limited power, provided no consistent evidence of causal associations between BMI or type 2 diabetes and chronotype or sleep duration. Our study brings the total number of loci associated with chronotype to 22 and with sleep duration to three, and provides new insights into the biology of sleep and circadian rhythms in humans.

A qualitative examination of the factors related to the development and maintenance of insomnia in cancer survivors.

OBJECTIVE: Insomnia is underrecognized and inadequately managed, with close to 60% of cancer survivors experiencing insomnia at some point in the treatment trajectory. The objective of this study was to further understand predisposing, precipitating, and perpetuating factors in the development and maintenance of insomnia in cancer survivors. METHOD: A heterogeneous sample of 63 patients who had completed active treatment was recruited. Participants were required to have a score >7 on the Insomnia Severity Index and meet the diagnostic criteria for insomnia disorder. Open-ended, semistructured interviews were conducted to elicit participants' experiences with sleep problems. An a priori set of codes and a set of codes that emerged from the data were used to analyze the data. RESULT: The mean age of the sample was 60.5 years, with 30% identifying as non-white and 59% reporting their sex as female. The cancer types represented were heterogeneous with the two most common being breast (30%) and prostate (21%). Participants described an inherited risk for insomnia, anxious temperament, and insufficient ability to relax as predisposing factors. Respondents were split as to whether they classified their cancer diagnosis as the precipitating factor for their insomnia. Participants reported several behaviors that are known to perpetuate problems with sleep including napping, using back-lit electronics before bed, and poor sleep hygiene. One of the most prominent themes identified was the use of sleeping medications. Participants reported that they were reluctant to take medication but felt that it was the only option to treat their insomnia and that it was encouraged by their doctors. SIGNIFICANCE OF RESULTS: Insomnia is a prevalent, but highly treatable, disorder in cancer survivors. Patients and provider education is needed to change individual and organizational behaviors that contribute to the development and maintenance of insomnia and increase access to evidence-based nonpharmacological interventions.

Prevalence, predictors and correlates of insomnia in US army soldiers.

The objective of this study was to investigate the rates, predictors and correlates of insomnia in a national sample of US Army soldiers. Data were gathered from the cross-sectional survey responses of the All-Army Study, of the Army Study to Assess Risk and Resilience in Service members. Participants were a representative sample of 21 499 US Army soldiers who responded to the All-Army Study self-administered questionnaire between 2011 and 2013. Insomnia was defined by selected DSM-5 criteria using the Brief Insomnia Questionnaire. The results highlight significant functional difficulties associated with insomnia among US soldiers, as well as insights into predictors of insomnia specific to this population. Insomnia was present in 22.76% of the sample. Predictors of insomnia status in logistic regression included greater number of current mental health disorders, less perceived open lines of communication with leadership, less unit member support and less education. Insomnia had global, negative associations with health, social functioning, support, morale, work performance and Army career intentions. The results provide the strongest evidence to-date that insomnia is common in a military population, and is associated with a wide array of negative factors in the domains of health, military readiness and intentions to remain in military careers.

Factors that shape preference for acupuncture or cognitive behavioral therapy for the treatment of insomnia in cancer patients.

PURPOSE: Patient preference is an essential component of patient-centered supportive cancer care; however, little is known about the factors that shape preference for treatment. This study sought to understand what factors may contribute to patient preference for two non-pharmacological interventions, acupuncture or cognitive behavioral therapy for insomnia (CBT-I). METHODS: We conducted individual, open-ended, semi-structured interviews among cancer survivors who had completed active treatment and met the diagnostic criteria for insomnia disorder. Two forms of codes were used for analysis: a priori set of codes derived from the key ideas and a set of codes that emerged from the data. RESULTS: Among 53 participants, the median age was 60.7 (range 27-83), 30 participants (56.6%) were female, and 18 (34%) were non-white. We identified three themes that contributed to an individual's treatment preference: perception of the treatment's evidence base, experience with the treatment, and consideration of personal factors. Participants gave preference to the treatment perceived as having stronger evidence. Participants also reflected on positive or negative experiences with both of the interventions, counting their own experiences, as well as those of trusted sources. Lastly, participants considered their own unique circumstances and factors such as the amount of work involved, fit with personality, or fit with their "type" of insomnia. CONCLUSIONS: Knowledge of the evidence base, past experience, and personal factors shaped patient preference regardless of whether they accurately represent the evidence. Acknowledging these salient factors may help inform patient-centered decision-making and care.

Impact of Alzheimer disease patients' sleep disturbances on their caregivers.

Sleep disturbance symptoms are common in persons living with Alzheimer disease (AD). However little is known about the impact of sleep disturbance symptoms in patients living with AD on caregiver burden and quality of life (QOL). The aims of this study were to determine the prevalence of symptoms of disturbed sleep in patients with AD, identify the care-recipient sleep disturbance symptoms that predict caregiver burden and QoL, and determine how care-recipient sleep disturbance symptoms compare to other caregiver and patient characteristics when predicting caregiver QoL. Caregiver burden was assessed using the Screen for Caregiver Burden. Sixty percent of the care-recipients had at least one sleep symptom. In 130 caregiver/patient dyads, nocturnal awakenings, nocturnal wandering, and snoring predicted caregiver burden. Multivariate modeling demonstrated that caregiver burden, caregiver physical and mental health, and caregiver depression were predictors of overall caregiver QoL. Treating disturbed sleep in care-recipients and caregiver mental health symptoms could have important public health impact by improving the lives of the caregiving dyad.

Sleep and Dreaming in Posttraumatic Stress Disorder.

PURPOSE OF REVIEW: Sleep disturbances are core features of posttraumatic stress disorder (PTSD). This review aims to characterize sleep disturbances, summarize the knowledge regarding the relationships between trauma exposure and sleep difficulties, and highlight empirically supported and/or utilized treatments for trauma-related nightmares and insomnia. RECENT FINDINGS: Trauma-related nightmares and insomnia, and other sleep disorders, are frequently reported among trauma survivors. The roles of fear of sleep, REM density, and decreased parasympathetic activity are beginning to inform the relationship between trauma exposure and sleep difficulties. Additionally, the potential adaptive role of sleep loss immediately following a traumatic experience is being recognized. Interventions targeting these sleep disturbances show promise in reducing symptoms. Research in understanding the role of sleep on the development, course, and treatment of PTSD is expanding. Longitudinal investigations are needed to further elucidate these relationships and identify treatments most effective in ameliorating symptoms.

Insomnia in breast cancer: Independent symptom or symptom cluster?

OBJECTIVE: This study examined insomnia in the context of breast cancer, both as an independent symptom and as a component of a symptom cluster that includes depression, anxiety, fatigue, and pain. METHOD: Women with a history of breast cancer currently taking an aromatase inhibitor and who had completed cancer treatment at least one month prior to enrollment were included (n = 413). Participants completed validated measures of insomnia, fatigue, pain, depression, and anxiety. Factor analysis was utilized to examine the extent to which these symptoms could be represented by common latent factors. Insomnia severity was then separated into a symptom cluster component (I-SC) and an insomnia-unique (I-U) component. The associations between each insomnia component and demographic and clinical factors were examined in multivariate models. RESULTS: A single-factor solution provided the best fit to the symptom measures. Some 53.3% of the variance in insomnia severity was captured by this symptom cluster (I-SC), with the remaining 43.7% being unique to insomnia (I-U). Unique patterns of demographic factors (e.g., age and body-mass index), but not clinical factors, were associated with each insomnia measure. SIGNIFICANCE OF RESULTS: Approximately 50% of insomnia severity was related to the symptom cluster, with the rest being unique to insomnia. Different sociodemographic risk factors were related to the different insomnia measures. Stronger underlying foundations for the mechanisms of each component could lead to refined diagnoses and targeted interventions for addressing the overall insomnia burden in cancer patients.

Influence of Sleep Disturbance on Global Functioning After Posttraumatic Stress Disorder Treatment.

Chronic insomnia and recurrent nightmares are prominent features of posttraumatic stress disorder (PTSD). Evidence from adult research indicates that these sleep disturbances do not respond as well to cognitive-behavioral therapies for PTSD and are associated with poorer functional outcomes. This study examined the effect of prolonged exposure therapy for adolescents versus client-centered therapy on posttraumatic sleep disturbance, and the extent to which sleep symptoms impacted global functioning among adolescents with sexual abuse-related PTSD. Participants included 61 adolescent girls seeking treatment at a rape crisis center. The Child PTSD Symptom Scale-Interview (Foa, Johnson, Feeny, & Treadwell, 2001) was used to assess PTSD diagnosis and severity of symptoms, including insomnia and nightmares. The Children's Global Assessment Scale (Shaffer et al., 1983) was used to assess global functioning. There were significant main effects of time and treatment on insomnia symptoms. Additionally, there was a main effect of time on nightmares. Results also showed that insomnia and nightmares significantly predicted poorer global functioning posttreatment (R2 = .21). Despite significant improvements in posttraumatic sleep disturbance, there were still clinically significant insomnia symptoms after treatment, suggesting that additional interventions may be warranted to address residual sleep disturbance in PTSD.

Stress Reactivity in Insomnia.

This study examined whether individuals with primary insomnia (PI) are more reactive to stress than good sleepers (GS). PI and GS (n = 20 per group), matched on gender and age, completed three nights of polysomnography. On the stress night, participants received a mild electric shock and were told they could receive additional shocks during the night. Saliva samples were obtained for analysis of cortisol and alpha amylase along with self-report and visual analog scales (VAS). There was very little evidence of increased stress on the stress night, compared to the baseline night. There was also no evidence of greater stress reactivity in the PI group for any sleep or for salivary measures. In the GS group, stress reactivity measured by VAS scales was positively associated with an increase in sleep latency in the experimental night on exploratory analyses. Individuals with PI did not show greater stress reactivity compared to GS.

Feasibility of Group Cognitive-Behavioral Treatment of Insomnia Delivered by Clinical Video Telehealth.

BACKGROUND: Clinical video telehealth provides a means for increasing access to psychotherapy. Insomnia is prevalent, is associated with a number of negative sequelae, and can be effectively managed with cognitive behavioral treatment of insomnia (CBT-I). Telehealth technologies can provide a means for increasing access to CBT-I. MATERIALS AND METHODS: The Tele-Insomnia program is a Veterans Health Administration (VHA) initiative in which CBT-I is delivered in a group format by telehealth. Veterans received six weekly sessions of group CBT-I, completing the Insomnia Severity Index (ISI) and daily sleep diaries throughout treatment. Paired-samples t-tests were used to examine differences in each measure from the first to the last session of treatment. RESULTS: There were statistically and clinically significant improvements in the ISI and all sleep diary variables with the exception of total sleep time. Video quality was excellent, and there were few connectivity problems. CONCLUSIONS: Clinical video telehealth technology can be used to deliver group CBT-I in a manner that produces clinically significant improvement. This model is scalable and has been used to develop a national clinical telehealth program.