Chapter 77 - Insomnia: Diagnosis, Assessment, and Outcomes

Previous functional magnetic resonance imaging (fMRI) sleep studies have been hampered by the difficulty of obtaining extended amounts of sleep in the sleep-adverse environment of the scanner and often have resorted to manipulations such as sleep depriving subjects before scanning. These manipulations limit the generalizability of the results.

The current study is a methodological validation of procedures aimed at obtaining all-night fMRI data in sleeping subjects with minimal exposure to experimentally induced sleep deprivation. Specifically, subjects slept in the scanner on two consecutive nights, allowing the first night to serve as an adaptation night.

Sleep scoring results from simultaneously acquired electroencephalography data on Night 2 indicate that subjects (n = 12) reached the full spectrum of sleep stages including slow-wave (M = 52.1 min, SD = 26.5 min) and rapid eye movement (REM, M = 45.2 min, SD = 27.9 min) sleep and exhibited a mean of 2.1 (SD = 1.1) nonREM-REM sleep cycles.

It was found that by diligently applying fundamental principles and methodologies of sleep and neuroimaging science, performing all-night fMRI sleep studies is feasible. However, because the two nights of the study were performed consecutively, some sleep deprivation from Night 1 as a cause of the Night 2 results is likely, so consideration should be given to replicating the current study with a washout period. It is envisioned that other laboratories can adopt the core features of this protocol to obtain similar results.

Insomnia identity refers to the conviction that one has insomnia, and this sleep complaint can be measured independently of sleep. Conventional wisdom predicts that sleep complaints are synchronous with poor sleep, but crossing the presence or absence of poor sleep with the presence or absence of insomnia identity reveals incongruity with expected patterns. This review of existing research on insomnia identity processes and influence finds that about one-fourth of the population are uncoupled sleepers, meaning there is an uncoupling of sleep and sleep appraisal, and daytime impairment accrues more strongly to those who endorse an insomnia identity. Research supports the conclusion that there is a cost to pathologizing sleep. Individuals claiming an insomnia identity, regardless of sleep status, are at greater risk for a range of sequelae including self-stigma, depression, suicidal ideation, anxiety, hypertension, and fatigue. A broad research agenda is proposed with hypotheses about the sources, clinical mechanisms, and clinical management of insomnia identity.

Sleep disturbance is an important contributor to, and maybe even cause of, vicious cycles of escalating vulnerability and increased risk among youth as they prepare to, and transition into, adulthood. The aim of this paper is to describe the scientific derivation of, and components of, the Youth version of the Transdiagnostic Sleep and Circadian Intervention (TranS-C-Youth) to improve sleep. TranS-C-Youth draws from sources that are informed by basic sleep/circadian principles and aims to help clinicians address the broad range of sleep disturbances that are often experienced during adolescence and the transition to adulthood years. The advantages of developing a transdiagnostic treatment are outlined and include that this approach may reduce the "too many empirically supported treatments problem" (Weisz, Ng, & Bearman, 2014, p. 68). TranS-C-Youth is comprised of both core and optional modules and thus promotes maximum flexibility as well as efficiency.

Insomnia has not been explored as it relates to recovery after mild traumatic brain injury (mTBI). We aimed to evaluate the prevalence of insomnia among Ontario workers with delayed recovery from mTBI, and its relationship with sociodemographic, TBI- and claim-related, behavioral, and clinical factors.

This was a cross-sectional study carried out over a period of 24 months in a large rehabilitation hospital in Ontario. To assess the prevalence of insomnia, we used the Insomnia Severity Index (ISI). Data were collected from standardized questionnaires, insurer records, and clinical assessment at the time of recruitment. Bivariate associations were calculated using the Spearman's correlation coefficient or analysis of variance. We established stepwise multivariate linear regression models of factors associated with insomnia. Additional analyses, including the assessment of the internal consistency of the ISI, were performed.

Of the 94 participants diagnosed with mTBI, clinical insomnia was reported by 69.2%. The mean age was 45.20 ± 9.94 years; 61.2% were men. No sex-related differences were observed in insomnia prevalence or severity. Insomnia was significantly associated with certain sociodemographic, claim-related, behavioral, and clinical variables. In the multivariable regression analysis, several determinants explained 53% of the insomnia variance. The internal consistency of the ISI, as measured by Cronbach's α, was 0.86.

Insomnia is common in persons with delayed recovery from mTBI, and is significantly associated with potentially modifiable clinical and nonclinical variables. Care of persons with brain injury requires greater attention with regard to the diagnosis and management of insomnia and associated disorders.