Testing the role of aerobic exercise in the treatment of posttraumatic stress disorder (PTSD) symptoms in U.S. active duty military personnel: a pilot study.

The purpose of this pilot study was to determine if the efficacy of imaginal exposure for symptoms of posttraumatic stress disorder (PTSD) could be improved by adding aerobic exercise. We hypothesized that aerobic exercise would enhance the efficacy of exposure therapy. Active duty service members with clinically significant symptoms of posttraumatic stress (PTSD Checklist-Stressor-Specific Version, [PCL-S], ≥25) were randomized into one of four conditions: exercise only; imaginal exposure only; imaginal exposure plus exercise; no exercise/no exposure therapy (control). Participants (N = 72) were primarily male, Army, noncommissioned officers ranging in age from 22 to 52. PTSD symptom severity decreased over time (p < .0001); however, there were no significant differences between the experimental conditions. The prediction that imaginal exposure augmented with aerobic exercise would be superior to either imaginal exposure alone or aerobic exercise alone was not supported, suggesting that engaging in exercise and imaginal exposure simultaneously may not be any better than engaging in either activity alone. A better understanding of individually administered and combined exercise and exposure therapy interventions for PTSD is warranted.

Deep-Learning-Based Multivariate Pattern Analysis (dMVPA): A Tutorial and a Toolbox.

In recent years, multivariate pattern analysis (MVPA) has been hugely beneficial for cognitive neuroscience by making new experiment designs possible and by increasing the inferential power of functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and other neuroimaging methodologies. In a similar time frame, "deep learning" (a term for the use of artificial neural networks with convolutional, recurrent, or similarly sophisticated architectures) has produced a parallel revolution in the field of machine learning and has been employed across a wide variety of applications. Traditional MVPA also uses a form of machine learning, but most commonly with much simpler techniques based on linear calculations; a number of studies have applied deep learning techniques to neuroimaging data, but we believe that those have barely scratched the surface of the potential deep learning holds for the field. In this paper, we provide a brief introduction to deep learning for those new to the technique, explore the logistical pros and cons of using deep learning to analyze neuroimaging data - which we term "deep MVPA," or dMVPA - and introduce a new software toolbox (the "Deep Learning In Neuroimaging: Exploration, Analysis, Tools, and Education" package, DeLINEATE for short) intended to facilitate dMVPA for neuroscientists (and indeed, scientists more broadly) everywhere.

Paired Trial Classification: A Novel Deep Learning Technique for MVPA.

Many recent developments in machine learning have come from the field of "deep learning," or the use of advanced neural network architectures and techniques. While these methods have produced state-of-the-art results and dominated research focus in many fields, such as image classification and natural language processing, they have not gained as much ground over standard multivariate pattern analysis (MVPA) techniques in the classification of electroencephalography (EEG) or other human neuroscience datasets. The high dimensionality and large amounts of noise present in EEG data, coupled with the relatively low number of examples (trials) that can be reasonably obtained from a sample of human subjects, lead to difficulty training deep learning models. Even when a model successfully converges in training, significant overfitting can occur despite the presence of regularization techniques. To help alleviate these problems, we present a new method of "paired trial classification" that involves classifying pairs of EEG recordings as coming from the same class or different classes. This allows us to drastically increase the number of training examples, in a manner akin to but distinct from traditional data augmentation approaches, through the combinatorics of pairing trials. Moreover, paired trial classification still allows us to determine the true class of a novel example (trial) via a "dictionary" approach: compare the novel example to a group of known examples from each class, and determine the final class via summing the same/different decision values within each class. Since individual trials are noisy, this approach can be further improved by comparing a novel individual example with a "dictionary" in which each entry is an average of several examples (trials). Even further improvements can be realized in situations where multiple samples from a single unknown class can be averaged, thus permitting averaged signals to be compared with averaged signals.

Effects of Brief Behavioral Treatment for Insomnia on Daily Associations between Self-Reported Sleep and Objective Cognitive Performance in Older Adults.

OBJECTIVE: Behavioral treatments for insomnia improve sleep in older adults, but research documenting their effects on cognitive performance is mixed. We explored whether a brief behavioral treatment for insomnia (BBTi) impacts daily associations between sleep parameters and next day cognition. METHODS: Sixty-two older adults (Mage = 69.45 years, SD = 7.71) with insomnia completed either 4 weeks of BBTi or self-monitoring control (SMC). At baseline, post-treatment, and 3 month follow-up, participants completed 14 days of diaries measuring sleep onset latency (SOL), wake after sleep onset (WASO), total sleep time (TST), and sleep efficiency (SE), as well as daily cognitive tests measuring processing speed (i.e., symbol digit modalities test, SDMT), and reasoning (i.e., letter series). At each time period, associations between sleep parameters and daily cognition, controlling for age, education, insomnia duration, use of sleep medications, and depression (i.e., Beck Depression Inventory-2nd Edition scores), were examined through multilevel modeling. RESULTS: At post-treatment, we observed an interactive fixed effect of treatment condition (i.e., BBTi/SMC) and TST on daily SDMT and letter series performance. For BBTi, longer TST was associated with better letter series performance, and did not predict SDMT performance. For SMC, longer TST was associated with worse SDMT, and was not associated with letter series performance. Greater WASO (regardless of group) was associated with better SDMT performance at post-treatment. Associations were not maintained at follow-up. CONCLUSIONS: Sleep duration may play an important role in BBTi-related improvements in daily higher order cognition. Maintenance of these associations may be facilitated by booster sessions following post-treatment. CLINICAL TRIAL IDENTIFIER: NCT02967185.

Validity of Actigraphy in Young Adults With Insomnia.

Objective/Background: Actigraphy is an inexpensive and objective wrist-worn activity sensor that has been validated for the measurement of sleep onset latency (SOL), number of awakenings (NWAK), wake after sleep onset (WASO), total sleep time (TST), and sleep efficiency (SE) in both middle-aged and older adults with insomnia. However, actigraphy has not been evaluated in young adults. In addition, most previous studies compared actigraphy to in-lab polysomnography (PSG), but none have compared actigraphy to more ecologically valid ambulatory polysomnography.Participants: 21 young adults (mean age = 19.90 ± 2.19 years; n = 13 women) determined to have chronic primary insomnia through structured clinical interviews.Methods: Sleep diaries, actigraphy, and ambulatory PSG data were obtained over a single night to obtain measures of SOL, NWAK, WASO, time spent in bed after final awakening in the morning (TWAK), TST, and SE.Results: Actigraphy was a valid estimate of SOL, WASO, TST, and SE, based on significant correlations (r = 0.45 to 0.87), nonsignificant mean differences between actigraphy and PSG, and inspection of actigraphy bias from Bland Altman plots (SOL α = 1.52, WASO α = 7.95, TST α = -8.60, SE α = -1.38).Conclusions: Actigraphy was a valid objective measure of SOL, WASO, TST, and SE in a young adult insomnia sample, as compared to ambulatory PSG. Actigraphy may be a valid alternative for assessing sleep in young adults with insomnia when more costly PSG measures are not feasible.

Chronic Pain, Sleep, and Cognition in Older Adults With Insomnia: A Daily Multilevel Analysis.

STUDY OBJECTIVES: The goal of this study was to examine daily associations between sleep and cognition in older adults suffering from insomnia, with or without a history of chronic pain. METHODS: Sixty older adults with insomnia and a history of chronic pain (HxCP; n = 33, mean age = 69.5 years, standard deviation = 7.8) or no history of chronic pain (NCP; n = 27, mean age = 69.7 years, standard deviation = 7.9) completed 14 days of diaries and actigraphy, measuring sleep onset latency (SOL), wake after sleep onset (WASO), sleep efficiency (SE), and sleep quality. Participants completed daily cognitive measures of processing speed (ie, symbol digit modalities test, SDMT), reasoning (ie, letter series), and verbal memory (ie, word list delayed recall). For HxCP and NCP, associations between sleep parameters, daily pain, depressive symptoms (ie, Beck Depression Inventory, Second Edition scores), and daily cognition, controlling for age, and global cognition were examined through multilevel modeling. RESULTS: For HxCP, greater self-reported WASO was associated with worse next-day SDMT performance, whereas greater actigraphic WASO was associated with better next-day SDMT performance. Greater depression was associated with worse daily letter series performance. Greater self-reported WASO and SE were associated with better next-day delayed recall. For NCP, greater self-reported WASO and depression were associated with better daily SDMT performance, whereas worse daily pain was associated with worse SDMT and delayed recall performance. CONCLUSIONS: In older adults with HxCP, improving sleep may benefit lower level cognition, whereas reducing depression may affect higher level cognition. Discrepancies in sleep parameters promote assessment of objective and subjective sleep outcomes when investigating effects of insomnia on cognition. CLINICAL TRIAL REGISTRATION: Title: Intraindividual Variability in Sleep and Cognitive Performance in Older Adults (REST), Registry: ClinicalTrials.gov, Identifier: NCT02967185, URL: https://clinicaltrials.gov/ct2/show/NCT02967185.

Efficacy of brief behavioral treatment for insomnia in older adults: examination of sleep, mood, and cognitive outcomes.

OBJECTIVE: The aim of the present study was to examine the effects of a brief behavioral intervention for insomnia (BBTi) on sleep parameters, mood, and cognitive functioning in older adults. METHODS: Older adults (aged 65 years or more) underwent four weekly sessions of BBTi or self-monitoring control (SMC). Participants completed 14 days of sleep diaries and actigraphy measuring sleep onset latency (SOL), wake after sleep onset (WASO), total sleep time (TST), sleep efficiency (SE), and sleep quality ratings at baseline, post-treatment, and three month follow-up. Participants also completed mood scales (Geriatric Depression Scale [GDS]; Beck Depression Inventory-II; and State Trait Anxiety Inventory) and neuropsychological testing (measuring global cognition, language, memory, attention and processing speed, and executive function) at the three timepoints. RESULTS: Significant condition (BBTi vs. SMC) x time (baseline vs. post-treatment vs. follow-up) interactions revealed that BBTi improved relative to baseline in sleep diary-reported SOL, WASO, SE, and sleep quality, and these improvements were maintained at follow-up. SMC showed no change in these measures. A main effect of time showed that actigraphy-measured WASO improved from baseline for both BBTi and SMC at post-treatment. A main effect of time revealed that both BBTi and SMC patients endorsed fewer GDS symptoms relative to baseline at post-treatment and follow-up. We observed no change in performance on neuropsychological measures. CONCLUSIONS: A four-week BBTi is an efficacious intervention for reducing insomnia symptoms in older adults. BBTi does not selectively improve mood or cognitive functioning. Future work should examine effects of BBTi on physiological measures of sleep architecture and day-to-day cognition. CLINICAL TRIAL IDENTIFER: NCT02967185.

Reliability of the Structured Clinical Interview for DSM-5 Sleep Disorders Module.

STUDY OBJECTIVES: To develop and demonstrate interrater reliability for a Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) Sleep Disorders (SCISD). METHODS: The SCISD was designed to be a brief, reliable, and valid interview assessment of adult sleep disorders as defined by the DSM-5. A sample of 106 postdeployment active-duty military members seeking cognitive behavioral therapy for insomnia in a randomized clinical trial were assessed with the SCISD prior to treatment to determine eligibility. Audio recordings of these interviews were double-scored for interrater reliability. RESULTS: The interview is 8 pages long, includes 20 to 51 questions, and takes 10 to 20 minutes to administer. Of the nine major disorders included in the SCISD, six had prevalence rates high enough (ie, n ≥ 5) to include in analyses. Cohen kappa coefficient (κ) was used to assess interrater reliability for insomnia, hypersomnolence, obstructive sleep apnea hypopnea (OSAH), circadian rhythm sleep-wake, nightmare, and restless legs syndrome disorders. There was excellent interrater reliability for insomnia (1.0) and restless legs syndrome (0.83); very good reliability for nightmare disorder (0.78) and OSAH (0.73); and good reliability for hypersomnolence (0.50) and circadian rhythm sleep-wake disorders (0.50). CONCLUSIONS: The SCISD is a brief, structured clinical interview that is easy for clinicians to learn and use. The SCISD showed moderate to excellent interrater reliability for six of the major sleep disorders in the DSM-5 among active duty military seeking cognitive behavioral therapy for insomnia in a randomized clinical trial. Replication and extension studies are needed. CLINICAL TRIAL REGISTRATION: Registry: ClinicalTrials.gov; Title: Comparing Internet and In-Person Brief Cognitive Behavioral Therapy of Insomnia; Identifier: NCT01549899; URL: https://clinicaltrials.gov/ct2/show/NCT01549899.

A Novel Application of a Biopsychosocial Theory in the Understanding of Disturbed Sleep before and after Kidney Transplantation.

STUDY OBJECTIVES: Sleep and fatigue difficulties appear to be highly prevalent among individuals with end-stage renal disease and individuals who have received a kidney transplant. While there is some evidence of biopsychosocial factors predicting sleep disturbance in these populations, previous studies have relied on single time point retrospective measurements. METHODS: The study utilized a 2-week prospective measurement approach, including one night of polysomnographic measurement, nightly sleep diaries, and self-report measures of health, sleep, and mood. RESULTS: The current study demonstrates that a number of psychological and behavioral factors, including negative mood, quality of life, napping, and caffeine consumption, are related to sleep disturbance among pre- and post-kidney transplant patients. This study also found that many of these factors have different relationships with sleep disturbance when comparing pre- and post-kidney transplant patients. CONCLUSIONS: These results suggest that such factors may be worthwhile areas for intervention in treating the symptoms of insomnia among pre- and post-transplant recipients. A nuanced approach to understanding sleep problems is likely warranted when conceptualizing insomnia and developing a treatment plan.

A pilot randomized controlled trial of the effects of cognitive-behavioral therapy for insomnia on sleep and daytime functioning in college students.

The purpose of this study was to pilot test if cognitive behavioral therapy for insomnia (CBT-I) is an effective intervention for insomnia and daytime functioning in college students. College students' developmental stage and lifestyle are significantly different than the general adult population, yet there have been no studies of CBT-I in this age group. Thirty-four college students (ages 18-27; M=19.71, SD=2.10) were randomly assigned to and completed either six sessions of CBT-I or a 6-week wait list control (WLC). All participants completed 1-week sleep diaries and actigraphy, as well as sleep and daytime functioning questionnaires at baseline and posttreatment. The treatment group repeated all measures at 3-month follow-up. Students who received CBT-I showed greater baseline to posttreatment improvements in sleep efficiency, sleep onset latency, number of awakenings, time awake after sleep onset, sleep quality, insomnia severity, dysfunctional beliefs about sleep, general fatigue, and global sleep quality than the WLC group. These improvements were durable at 3-month follow-up. Ninety-four percent of participants in the CBT-I condition completed at least 4 sessions of treatment. Significantly more participants in the CBT-I group than the WLC group responded (68.8% vs 7.7%, respectively) and remitted (68.8% vs 15.4%, respectively). CBT-I is an effective treatment for insomnia in college students. This study found that treatment responses were similar to results from studies in the general population. The treatment appeared to be well tolerated based on very low attrition rates.

Sleep discrepancy, sleep complaint, and poor sleep among older adults.

OBJECTIVES: Discrepancy between self-report- and actigraphy-measured sleep, often considered an artifact of measurement error, has been well documented among insomnia patients. Sleep problems are common among older adults, and this discrepancy may represent meaningful sleep-related phenomenon, which could have clinical and research significance. METHOD: Sleep discrepancy was examined in 4 groups of older adults (N = 152, mean age = 71.93 years) based on sleep complaint versus no complaint and presence versus absence of insomnia symptoms. Participants completed the Beck Depression Inventory-second edition (BDI-II) and 14 nights of sleep diaries and actigraphy. RESULTS: Controlling for covariates, group differences were found in the duration and frequency of discrepancy in sleep onset latency (SOLd) and wake after sleep onset (WASOd). Those with insomnia symptoms and complaints reported greater duration and frequency of WASOd than the other 3 groups. Quantities of SOLd and WASOd were related to BDI-II score and group status, indicating that sleep discrepancy has meaningful clinical correlates. DISCUSSION: Discrepancy occurred across all groups but was pronounced among the group with both insomnia symptoms and complaints. This discrepancy may provide a means of quantifying and conceptualizing the transition from wake to sleep among older adults, particularly those with sleeping problems.

Insomnia and mental health in college students.

Insomnia is strongly associated with certain mental health problems in the general population. However, there is little research examining this relation in young adults-an age group where many mental health problems first present. This study examined relations between insomnia and mental health symptoms in a college population (N = 373; 60.9% women; mean age of 21 years). Insomnia was assessed via self-report and sleep diaries, and mental health was assessed via the Symptom Check List-90. Analyses revealed insomnia was prevalent (9.4%), and these young adults had significantly more mental health problems than those without insomnia, although some significant results were lost after controlling for comorbid health problems.

Daily variations in objective nighttime sleep and subjective morning pain in older adults with insomnia: evidence of covariation over time.

OBJECTIVES: To examine the relationship between objectively measured nocturnal sleep and subjective report of morning pain in older adults with insomnia; to examine not only the difference between persons in the association between sleep and pain (mean level over 14 days), but also the within-person, day-to-day association. DESIGN: Cross-sectional. SETTING: North-central Florida. PARTICIPANTS: Fifty community-dwelling older adults (mean age+/-standard deviation 69.1+/-7.0, range 60-90) with insomnia. MEASUREMENTS: Daily home-based assessment using nightly actigraphic measurement of sleep and daily self-report of pain over 14 consecutive days. RESULTS: Between persons, average sleep over 14 days was not associated with average levels of rated pain, but after a night in which an older adult with insomnia experienced above-average total sleep time he or she subsequently reported below-average pain ratings. The model explained approximately 24% of the within-person and 8% of the between-person variance in pain ratings. CONCLUSIONS: Sleep and pain show day-to-day associations (i.e., covary over time) in older adults with insomnia. Such associations may suggest that common physiological systems underlie the experience of insomnia and pain. Future research should examine the crossover effects of sleep treatment on pain and of pain treatment on sleep.

Tackling sleeplessness: Psychological treatment options for insomnia.

The purpose of the present paper is to review and summarize the research supporting nonpharmacologic treatment options for insomnia. The different treatment approaches are described followed by a review of both original research articles and meta-analyses. Meta-analytic reviews suggest that common nonpharmacologic approaches exert, on average, medium to large effect sizes on SOL, WASO, NWAK, SQR, and SE while smaller effects are seen for TST. Stimulus control therapy, relaxation training, and CBT-I are considered standard treatments for insomnia by the American Academy of Sleep Medicine (AASM). Sleep restriction, multicomponent therapy without cognitive therapy, paradoxical intention, and biofeedback approaches have received some levels of support by the AASM. Sleep hygiene, imagery training, and cognitive therapy did not receive recommendation levels as single (standalone) therapies by the AASM due to lack of empirical evidence. Less common approaches have been introduced (Internet-based interventions, bright light treatment, biofeedback, mindfulness, acupuncture, and intensive sleep retraining) but require further research. Brief and group treatments have been shown to be as efficacious as longer and individually-administered treatments. Considerations are presented for special populations, including older adults, children and teens, individuals from diverse cultural backgrounds, insomnia comorbid with other disorders, and individuals who are taking hypnotics.