Sleep-wake disturbances after traumatic brain injury

Effect of Long-Term Diving Exposure on Sleep of Male Occupational Divers in Southern Taiwan: A Cross-Sectional Study

OBJECTIVE

Divers with a history of decompression sickness may be at high risk for sleep problems. However, limited studies have investigated the relationship between diving exposure and sleep problems of occupational divers. This study investigated the association between diving exposure and sleep quality and quantity among male occupational divers in southern Taiwan.

METHODS

This descriptive, cross-sectional study included 52 occupational divers and 121 non-divers recruited from southern Taiwan in 2018. Survey data were collected using the Taiwanese version of the Hospital Anxiety and Depression Scale, Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, and a self-report questionnaire that included demographic variables, diving exposure/protocols, and factors associated with sleep quality.

RESULTS

Among all participants examined, occupational divers were significantly more likely to have both poor sleep quality (adjusted odds ratio [OR] = 3.00; 95% confidence interval [CI] = 1.48-6.06; P = 0.002) and excessive daytime sleepiness (adjusted OR = 4.49; 95% CI = 2.12-9.52; P < 0.001). The diving exposure time, depth, ascent rate, and decompression table use showed no significant associations between poor and good sleepers in the divers group. However, a history of decompression sickness was associated with poor sleep quality among divers (adjusted OR = 2.20; 95% CI = 1.07-4.54; P = 0.032).

CONCLUSIONS

Our results showed that occupational divers had poor sleep quality and more excessive sleepiness than non-divers. Decompression sickness likely contributes to poor sleep quality. Prevention and early detection of decompression sickness-related sleep problems should be an occupational health priority.

Problematic internet use and its association with sleep disturbance and life satisfaction among Palestinians during the COVID-19 pandemic

The current study was conducted to test the relationship between problematic internet use, sleep disturbance, and life satisfaction among Palestinians during the Covid-19 pandemic. The sample consisted of 366 Palestinian adults (129 males and 237 females), recruited from online advertisements, e-mail campaigns, social media, and SMS campaigns. Results of the correlational analysis showed that problematic internet use positively correlated with sleep disturbance (r = .19, p < .01), and negatively correlated with life satisfaction (r = −.17, p < .01). Moreover, life satisfaction negatively correlated to sleep disturbance (r = −.25, p < .01). The regression analysis for predicting problematic internet use found that life satisfaction contributes in a way that was statistically significant towards explaining variance in problematic Internet use (B = -.15, SE = .05, β = −.15), in addition sleep disturbance explained statistically and significantly variance in problematic internet use (B = .16, SE = .04, β = .20). Intervention programs directed at decreasing internet use may need to be updated to better address the issues of “necessary” excessive use during COVID-19 restrictions and re-entry into normalized activity patterns when shut-downs are finished. As a completely new area of investigation, this study can serve as an impetus to further examinations of these important topics.

Translation and Linguistic Validation of Outcome Instruments for Traumatic Brain Injury Research and Clinical Practice: A Step-by-Step Approach within the Observational CENTER-TBI Study

Assessing outcomes in multinational studies on traumatic brain injury (TBI) poses major challenges and requires relevant instruments in languages other than English. Of the 19 outcome instruments selected for use in the observational Collaborative European NeuroTrauma Effectiveness Research in TBI (CENTER-TBI) study, 17 measures lacked translations in at least one target language. To fill this gap, we aimed to develop well-translated linguistically and psychometrically validated instruments. We performed translations and linguistic validations of patient-reported measures (PROMs), clinician-reported (ClinRO), and performance-based (PerfO) outcome instruments, using forward and backward translations, reconciliations, cognitive debriefings with up to 10 participants, iterative revisions, and international harmonization with input from over 150 international collaborators. In total, 237 translations and 211 linguistic validations were carried out in up to 20 languages. Translations were evaluated at the linguistic and cultural level by coding changes when the original versions are compared with subsequent translation steps, using the output of cognitive debriefings, and using comprehension rates. The average comprehension rate per instrument varied from 88% to 98%, indicating a good quality of the translations. These outcome instruments provide a solid basis for future TBI research and clinical practice and allow the aggregation and analysis of data across different countries and languages.

Sleep disturbances following traumatic brain injury are associated with poor neurobehavioral outcomes in U.S. military service members and veterans

STUDY OBJECTIVES

This study examined whether sleep disturbances were associated with neurobehavioral outcome following a traumatic brain injury (TBI) in a well characterized group of service members and veterans.

METHODS

Six-hundred and six participants were enrolled into the Defense and Veterans Brain Injury Center, 15-Year Longitudinal TBI study. All participants completed a battery of tests measuring self-reported sleep disturbances, neurobehavioral symptoms, and Posttraumatic Stress Disorder PTSD symptoms. Data were analyzed using analysis of variance with post-hoc comparisons. Four groups were analyzed separately: uncomplicated mild TBI (MTBI); complicated mild, moderate, severe, or penetrating - combined TBI (CTBI); injured controls (IC, i.e., orthopedic or soft-tissue injury without TBI); and non-injured controls (NIC).

RESULTS

A higher proportion of the MTBI group reported moderate-severe sleep disturbances (66.5%) compared to the IC (54.9%), CTBI (47.5%), and NIC groups (34.3%). Participants classified as having Poor Sleep had significantly worse scores on the majority of TBI-QOL scales compared to those classified as having Good Sleep, regardless of TBI severity or the presence of TBI. There was a significant interaction between sleep disturbances and PTSD. While sleep disturbances and PTSD by themselves were significant factors associated with worse outcome, both factors combined resulted in worse outcome than either singularly.

CONCLUSIONS

Regardless of group (injured or NIC), sleep disturbances were common and were associated with significantly worse neurobehavioral functioning. When experienced concurrently with PTSD, sleep disturbances pose significant burden to service members and veterans.

Hyperarousal symptoms and decreased right hemispheric frontolimbic white matter integrity predict poorer sleep quality in combat-exposed veterans

OBJECTIVE

Disrupted sleep is common following combat deployment. Contributors to risk include posttraumatic stress disorder (PTSD) and mild traumatic brain injury (mTBI); however, the mechanisms linking PTSD, mTBI, and sleep are unclear. Both PTSD and mTBI affect frontolimbic white matter tracts, such as the uncinate fasciculus. The current study examined the relationship between PTSD symptom presentation, lateralized uncinate fasciculus integrity, and sleep quality.

METHOD

Participants include 42 combat veterans with and without PTSD and mTBI. Freesurfer and Tracula were used to establish specific white matter ROI integrity via 3-T MRI. The Pittsburgh Sleep Quality Index and PTSD Checklist were used to assess sleep quality and PTSD symptoms.

RESULTS

Decreased fractional anisotropy in the right uncinate fasciculus (β = -1.11, SE = 0.47, p < .05) and increased hyperarousal symptom severity (β = 3.50, SE = 0.86, p < .001) were associated with poorer sleep quality.

CONCLUSION

Both right uncinate integrity and hyperarousal symptom severity are associated withsleep quality in combat veterans. The right uncinate is a key regulator of limbic behavior and sympathetic nervous system reactivity, a core component of hyperarousal. Damage to this pathway may be one mechanism by which mTBI and/or PTSD could create vulnerability for sleep problems following combat deployment.

Assessing Sleep Architecture With Polysomnography During Posttraumatic Amnesia After Traumatic Brain Injury: A Pilot Study

BACKGROUND

Early-onset sleep disturbance is common following moderate to severe traumatic brain injury (TBI) and often emerges while patients are in posttraumatic amnesia (PTA). However, sleep disruptions during this subacute recovery phase are not well-defined, and research often utilizes indirect measures (actigraphy) that quantify sleep based on activity. This study aims to examine sleep macro-architecture and sleep quality directly with ambulatory polysomnography (PSG) and measure endogenous salivary melatonin levels for patients experiencing PTA following moderate to severe TBI.

METHOD

Participants were recruited from an inpatient TBI rehabilitation unit. Nighttime PSG was administered at the patient's bedside. Two saliva specimens were collected for melatonin testing on a separate evening (24:00 and 06:00 hours) using melatonin hormone profile test kits.

RESULTS

Of 27 patients in whom PSG was recorded, the minimum required monitoring time occurred in n =17 (adherence: 63%) at a median of 37.0 days (quartile 1 [Q1] to quartile 3 [Q3]: 21.5-50.5) postinjury. Median non-rapid eye movement (NREM) and REM sleep proportions were similar to normal estimates. Slow-wave sleep was reduced and absent in 35.3% of patients. Sleep periods appeared fragmented, and median sleep efficiency was reduced (63.4%; Q1-Q3: 55.1-69.2). Median melatonin levels at both timepoints were outside the normal range of values specified for this test (from Australian Clinical Labs).

CONCLUSION

This study reports that ambulatory PSG and salivary melatonin assessment are feasible for patients experiencing PTA and offers new insight into the extent of sleep disturbance. Further research is necessary to understand associations between PTA and sleep disturbance.

Sleep after Traumatic Brain Injury

Sleep disturbances are common after traumatic brain injury of all levels of severity, interfere with acute and long-term recovery, and can persist for years after injury. There is increasing evidence of the importance of sleep in improving brain function and recovery. Noticing and addressing sleep disturbances are important aspects of nursing care, especially for the prevention or early recognition of delirium. Nonpharmacologic interventions can improve sleep. Teaching about the importance of sleep after traumatic brain injury, promoting sleep hygiene, and multidisciplinary approaches to addressing sleep problems and improving sleep are important for recovery from traumatic brain injury.

Traumatic Brain Injury and Incidence Risk of Sleep Disorders in Nearly 200,000 US Veterans

OBJECTIVE

To test the hypothesis that veterans with traumatic brain injury (TBI) have an increased subsequent risk of sleep disorders, we studied the longitudinal association between TBI and incident sleep disorders in nearly 200,000 veterans.

METHODS

We performed a cohort study of all patients diagnosed with a TBI in the Veterans Health Administration system from October 1, 2001, to September 30, 2015, who were age-matched 1:1 to veterans without TBI. Veterans with prevalent sleep disorders at baseline were excluded. Development of sleep disorders was defined as any inpatient or outpatient diagnosis of sleep apnea, hypersomnia, insomnia, or sleep-related movement disorders based on ICD-9 codes after the first TBI diagnosis or the random selection date for those without TBI. We restricted the analysis to those with at least 1 year of follow-up. We used Cox proportional hazards models to examine the association between TBI and subsequent risk of sleep disorders.

RESULTS

The study included 98,709 veterans with TBI and 98,709 age-matched veterans without TBI (age 49 ± 20 years). After an average follow-up of 5 (1-14) years, 23,127 (19.6%) veterans developed sleep disorders. After adjustment for demographics, education, income, and medical and psychiatric conditions, those who had TBI compared to those without TBI were 41% more likely to develop any sleep disorders (hazard ratio 1.41 [95% confidence interval 1.37-1.44]), including sleep apnea (1.28 [1.24-1.32]), insomnia (1.50 [1.45-1.55]), hypersomnia (1.50 [1.39-1.61]), and sleep-related movement disorders (1.33 [1.16-1.52]). The association was stronger for mild TBIs, did not differ appreciably by presence of posttraumatic stress disorder, and remained after a 2-year time lag.

CONCLUSION

In 197,418 veterans without sleep disorders, those with diagnosed TBI had an increased risk of incident sleep disorders over 14 years. Improved prevention and long-term management strategies for sleep are needed for veterans with TBI.

Poorer sleep quality predicts melatonin response in TBI patients: findings from a randomized controlled trial

STUDY OBJECTIVES

A recent clinical trial demonstrated that melatonin treatment was effective in improving self-perceived sleep quality in patients with TBI; however, it remains unclear which patients benefited from melatonin treatment. To that end, findings from the clinical trial were re-examined to identify possible predictors of treatment response.

METHODS

Hierarchical multiple regression was utilized to identify patient characteristics, TBI injury characteristics, and self-report measures assessing sleep, fatigue, mood, and anxiety symptomatology that may uniquely explain a change in self-reported sleep quality scores (follow-up minus baseline score) as assessed by the Pittsburgh Sleep Quality Index(PSQI).

RESULTS

After controlling for patient demographic and TBI injury-related variables, baseline self-report measures of sleep, fatigue, mood, and anxiety explained an additional 32% of the variance in change in PSQI scores. However, only baseline PSQI score made a unique and statistically significant contribution (β = -.56, p = .006). After controlling for patient and TBI characteristics, baseline PSQI scores further explained 27% of the variance in change in PSQI scores, R squared change = .27, F change (1, 27) = 11.79, p = .002). The standardized beta for baseline PSQI score revealed a statistically significant negative relationship with change in PSQI score (β = -.54, p = .002) revealing that higher PSQI score at baseline was associated with better sleep outcomes.

CONCLUSIONS

In a sample comprising predominately severe TBI and comorbid insomnia, participants who report poorer sleep quality have the most to gain from melatonin treatment irrespective of time since injury, demographics, fatigue, daytimes sleepiness, mood, and anxiety symptomology.

CLINICAL TRIAL REGISTRATION

The manuscript reports on a clinical trial which was prospectively registered with the Australian New Zealand Clinical Trials Registry on the 13th of July, 2011. Identifier: ACTRN12611000734965 https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=343083&showOriginal=true&isReview=true.

Assessment and Treatment of Concussion in the Pediatric Population

Traumatic brain injury (TBI) is common in children. The evaluation and management of children with TBI is based on the research performed in adults. There is a relative paucity of research in the literature involving children and many of the practice recommendations for this age are based on expert opinion in the absence of good research studies in both sports and non-sports-related injuries. The pediatric population is heterogeneous and the approach might be specific for infants, preschoolers, school age children, and adolescents. Children may also suffer from neurodevelopmental disabilities, making their evaluation even more challenging. Adult neurologists are often asked to see children due to increasing demands. This review will focus on specific issues related to TBI in children that might be useful to adult neurologists. Science, however, is evolving rapidly and physicians should make sure to remain up to date to offer evidence-based services to their patients.

Sleep-wake characteristics in a mouse model of severe traumatic brain injury: Relation to posttraumatic epilepsy

Study objectives

Traumatic brain injury (TBI) results in sequelae that include posttraumatic epilepsy (PTE) and sleep-wake disturbances. Here, we sought to determine whether sleep characteristics could predict development of PTE in a model of severe TBI.

Methods

Following controlled cortical impact (CCI) or sham injury (craniotomy only), CD-1 mice were implanted with epidural electroencephalography (EEG) and nuchal electromyography (EMG) electrodes. Acute (1st week) and chronic (months 1, 2, or 3) 1-week-long video-EEG recordings were performed after the injury to examine epileptiform activity. High-amplitude interictal events were extracted from EEG using an automated method. After scoring sleep-wake patterns, sleep spindles and EEG delta power were derived from nonrapid eye movement (NREM) sleep epochs. Brain CTs (computerized tomography) were performed in sham and CCI cohorts to quantify the brain lesions. We then employed a no craniotomy (NC) control to perform 1-week-long EEG recordings at week 1 and month 1 after surgery.

Results

Posttraumatic seizures were seen in the CCI group only, whereas interictal epileptiform activity was seen in CCI or sham. Sleep-wake disruptions consisted of shorter wake or NREM bout lengths and shorter duration or lower power for spindles in CCI and sham. NREM EEG delta power increased in CCI and sham groups compared with NC though the CCI group with posttraumatic seizures had lower power at a chronic time point compared with those without. Follow-up brain CTs showed a small lesion in the sham injury group suggesting a milder form of TBI that may account for their interictal activity and sleep changes.

Significance

In our TBI model, tracking changes in NREM delta power distinguishes between CCI acutely and animals that will eventually develop PTE, but further work is necessary to identify sleep biomarkers of PTE. Employing NC controls together with sham controls should be considered in future TBI studies.

Residual and compensatory changes of resting‐state EEG in successful recovery after moderate TBI

Purpose:

Even in years after recovery from moderate traumatic brain injury (moderate TBI), patients complain about residual cognitive impairment and fatigue. We hypothesized that non‐linear and linear resting‐state electroencephalography (rsEEG) features might also reflect neural underpinnings of these deficits.

Methods:

We analyzed a 10‐minute rsEEG in 77 moderate TBI‐survivors and 151 healthy volunteers after cognitive and psychological assessment. The rsEEG analysis included linear measures, such as power spectral density and peak alpha frequency, and non‐linear parameters such as Higuchi fractal dimension, envelope frequency, and Hjorth complexity.

Results:

The patients with moderate TBI had higher scores for fatigue and sleepiness and lower scores for mood and life satisfaction than controls. The behavioral test for directed attention showed a smaller and non‐significant between‐group difference. In rsEEG patterns, moderate TBI‐group had significantly higher deltaand theta‐rhythm power, which correlated with higher sleepiness and fatigue scores. The higher beta and lower alpha power were associated with a higher attention level in moderate TBI patients. Non‐linear rsEEG features were significantly higher in moderate TBI patients than in healthy controls but correlated with sleepiness and fatigue scores in both controls and patients.

Conclusion:

The rsEEG patterns may reflect compensatory processes supporting directed attention and residual effect of moderate TBI causing subjective fatigue in patients even after full physiological recovery.

A narrative review of pharmacologic approaches to symptom management of pediatric patients diagnosed with anti-NMDA receptor encephalitis

Anti-N-Methyl-D-Aspartate Receptor Encephalitis (ANMDARE) is one of the most common autoimmune encephalitis in the pediatric population. Patients with ANMDARE initially present with a prodrome of neuropsychiatric symptoms followed by progressively worsening seizures, agitation, and movement disorders. Complications can include problems such as aggression, insomnia, catatonia, and autonomic instability. Due to the complexity of this disease process, symptom management can be complex and may lead to significant polypharmacy. The goal of this review is to educate clinicians about the challenges of managing this disorder and providing guidance in symptom management.

Sleep disorders in traumatic brain injury

The purpose of the review is to collect the most relevant current literature on the mechanisms of normal sleep and sleep disorders associated with traumatic brain injury (TBI), to discuss the most frequent conditions and the evidence on their possible treatments and future research. Sleep disorders are extremely prevalent after TBI (30-84%). Insomnia and circadian rhythm disorders are the most frequent disorders among the population that has suffered mild TBI, while hypersomnolence disorders are more frequent in populations that have suffered moderate and severe TBI. The syndrome of obstructive sleep apnea and restless leg syndrome are also very frequent in these patients; and patients exposed to multiple TBIs (war veterans) are especially susceptible to sleep disorders. The treatment of these disorders requires taking into account the particularities of these patients. In conclusion, diagnosis and treatment of sleep disorders should become part of routine clinical practice and cease to be anecdotal (as it is today) in patients with TBI. In addition, it is necessary to continue carrying out research that reveals the best therapeutic approach to these patients.

The Prevalence and Stability of Sleep-Wake Disturbance and Fatigue throughout the First Year after Mild Traumatic Brain Injury

In this prospective, longitudinal study, we aimed to determine the prevalence and stability of sleep-wake disturbance (SWD) and fatigue in a large representative sample of patients (Trondheim mild traumatic brain injury [mTBI] follow-up study). We included 378 patients with mTBI (age 16-60), 82 matched trauma controls with orthopedic injuries, and 83 matched community controls. Increased sleep need, poor sleep quality, excessive daytime sleepiness, and fatigue were assessed at 2 weeks, 3 months, and 12 months after injury. Mixed logistic regression models were used to evaluate clinically relevant group differences longitudinally. Prevalence of increased sleep need, poor sleep quality, and fatigue was significantly higher in patients with mTBI than in both trauma controls and community controls at all time points. More patients with mTBI reported problems with excessive daytime sleepiness compared to trauma controls, but not community controls, at all time points. Patients with complicated mTBI (intracranial findings on computed tomography or magnetic resonance imaging) had more fatigue problems compared to those with uncomplicated mTBI, at all three time points. In patients with mTBI who experienced SWDs and fatigue 2 weeks after injury, around half still had problems at 3 months and approximately one third at 12 months. Interestingly, we observed limited overlap between the different symptom measures; a large number of patients reported one specific problem with SWD or fatigue rather than several problems. In conclusion, our results provide strong evidence that mTBI contributes significantly to the development and maintenance of SWDs and fatigue.

Sleep disorders in traumatic brain injury

The purpose of the review is to collect the most relevant current literature on the mechanisms of normal sleep and sleep disorders associated with traumatic brain injury (TBI), to discuss the most frequent conditions and the evidence on their possible treatments and future research. Sleep disorders are extremely prevalent after TBI (30-84%). Insomnia and circadian rhythm disorders are the most frequent disorders among the population that has suffered mild TBI, while hypersomnolence disorders are more frequent in populations that have suffered moderate and severe TBI. The syndrome of obstructive sleep apnea and restless leg syndrome are also very frequent in these patients; and patients exposed to multiple TBIs (war veterans) are especially susceptible to sleep disorders. The treatment of these disorders requires taking into account the particularities of these patients. In conclusion, diagnosis and treatment of sleep disorders should become part of routine clinical practice and cease to be anecdotal (as it is today) in patients with TBI. In addition, it is necessary to continue carrying out research that reveals the best therapeutic approach to these patients.

Prion-Like Propagation Mechanisms in Tauopathies and Traumatic Brain Injury: Challenges and Prospects

The accumulation of tau protein in the form of filamentous aggregates is a hallmark of many neurodegenerative diseases such as Alzheimer's disease (AD) and chronic traumatic encephalopathy (CTE). These dementias share traumatic brain injury (TBI) as a prominent risk factor. Tau aggregates can transfer between cells and tissues in a "prion-like" manner, where they initiate the templated misfolding of normal tau molecules. This enables the spread of tau pathology to distinct parts of the brain. The evidence that tauopathies spread via prion-like mechanisms is considerable, but work detailing the mechanisms of spread has mostly used in vitro platforms that cannot fully reveal the tissue-level vectors or etiology of progression. We review these issues and then briefly use TBI and CTE as a case study to illustrate aspects of tauopathy that warrant further attention in vivo. These include seizures and sleep/wake disturbances, emphasizing the urgent need for improved animal models. Dissecting these mechanisms of tauopathy progression continues to provide fresh inspiration for the design of diagnostic and therapeutic approaches.

A blended eHealth intervention for insomnia following acquired brain injury: study protocol for a randomized controlled trial

Background

Up to a third of stroke patients and patients with traumatic brain injury suffer from insomnia, including problems to fall asleep or stay asleep at night. Insomnia may exacerbate other brain damage-related problems, for example regarding cognitive functioning and emotional well-being; may lead to poorer quality of life; and may complicate recovery processes. Cognitive behavioral therapy for insomnia, delivered face-to-face or online, is found to be effective in the general population. However, despite the high prevalence and serious consequences of insomnia following acquired brain injury, studies on the efficacy of face-to-face cognitive behavioral treatment in this population are scarce, and this applies even more for studies on online cognitive behavioral therapy. Therefore, this study aims to evaluate the efficacy of a newly developed guided online cognitive behavioral therapy for insomnia following acquired brain injury.

Methods

A multicenter, prospective, randomized, open-label, blinded end point study (PROBE) will be conducted, in which 48 patients diagnosed with stroke or traumatic brain injury and insomnia will be randomly allocated to the online cognitive behavioral therapy for insomnia treatment group or the treatment as usual group. The treatment consists of 6 online cognitive behavioral therapy sessions given on a weekly basis and personalized feedback after each session, combined with 2 face-to-face sessions. Outcomes will be assessed at baseline, immediately after the intervention period and at 6-week follow-up. The primary outcome is the insomnia severity assessed with the Insomnia Severity Index. Secondary outcome measures include sleep quality, sleep features derived from the sleep diary, fatigue, anxiety and depression, subjective cognitive functioning, and societal participation.

Discussion

This study will provide insight on the efficacy of online cognitive behavioral therapy for insomnia following stroke and traumatic brain injury.

Trial registration

Netherlands Trial Register NTR7082. Registered on 12 March 2018.

Does cognitive-behavioural therapy improve sleep outcomes in individuals with traumatic brain injury: a scoping review

BACKGROUND

Insomnia symptoms are common after a traumatic brain injury (TBI). Cognitive-behavioural therapy (CBT) to treat sleep disturbances and insomnia (CBT-I) has been used to improve sleep outcomes. It is unclear if CBT/CBT-I is efficacious in individuals with a TBI. This review was performed to evaluate the use of CBT/CBT-I in individuals with a TBI who also endorse insomnia and concomitant symptoms.

METHODS

Literature searches were conducted in June 2019. A total of 861 articles were found. The full text of 14 articles was reviewed for inclusion/exclusion criteria. Quality appraisal was conducted to assess the risk of bias.

RESULTS

Five articles met the criteria. Two articles were pilot-randomized control trials and three were case studies. The review indicates that individuals participating in CBT/CBT-I reported increased sleep efficiency, sleep quality, and reduced insomnia symptoms and concomitant symptoms. The major source of bias is a limited number of participants across all studies.

CONCLUSION

This review provides evidence that CBT/CBT-I following a TBI can improve sleep outcomes and reduce concomitant symptoms. More robust studies are needed due to limited number of randomized control trials to determine if CBT/CBT-I is an effective treatment in individuals with TBI.

Functional Medicine: A View from Physical Medicine and Rehabilitation

Using the functional medicine rubric in physical medicine and rehabilitation (PM&R), a physiatrist can capitalize on addressing the root causes and downstream effects in patients with chronic diseases. Similar to the International Classification of Function model in rehabilitation, the functional medicine model uses biopsychosocial understanding with a systems biology approach to find fulcrum points to create the biggest impact on health care. Given the position of rehabilitation medicine with the type and location of patients, both functional medicine and PM&R would benefit from a mutual partnership.

Classification of Non-Severe Traumatic Brain Injury from Resting-State EEG Signal Using LSTM Network with ECOC-SVM

Traumatic brain injury (TBI) is one of the common injuries when the human head receives an impact due to an accident or fall and is one of the most frequently submitted insurance claims. However, it is often always misused when individuals attempt an insurance fraud claim by providing false medical conditions. Therefore, there is a need for an instant brain condition classification system. This study presents a novel classification architecture that can classify non-severe TBI patients and healthy subjects employing resting-state electroencephalogram (EEG) as the input, solving the immobility issue of the computed tomography (CT) scan and magnetic resonance imaging (MRI). The proposed architecture makes use of long short term memory (LSTM) and error-correcting output coding support vector machine (ECOC-SVM) to perform multiclass classification. The pre-processed EEG time series are supplied to the network by each time step, where important information from the previous time step will be remembered by the LSTM cell. Activations from the LSTM cell is used to train an ECOC-SVM. The temporal advantages of the EEG were amplified and able to achieve a classification accuracy of 100%. The proposed method was compared to existing works in the literature, and it is shown that the proposed method is superior in terms of classification accuracy, sensitivity, specificity, and precision.

Quality of life up to 10 years after traumatic brain injury: a cross-sectional analysis

Background

Traumatic brain injury (TBI) is the leading cause of death and disability among children and young adults in industrialized countries, but strikingly little is known how patients cope with the long-term consequences of TBI. Thus, the aim of the current study was to elucidate health-related quality of life (HRQoL) and outcome predictors in chronic TBI adults.

Methods

In this cross-sectional study, 439 former patients were invited to report HRQoL up to 10 years after mild, moderate or severe TBI using the QOLIBRI (Quality of Life after Brain Injury) questionnaire. The QOLIBRI total score has a maximum score of 100. A score below 60 indicates an unfavorable outcome with an increased risk of an affective and/or anxiety disorder. Results were correlated with demographics and basic characteristics received from medical records (TBI severity, etiology, age at TBI, age at survey, time elapsed since TBI, and sex) using regression models. Differences were considered significant at p <  0.05.

Results

From the 439 invited patients, 135 out of 150 in principle eligible patients (90%) completed the questionnaire; 76% were male, and most patients experienced severe TBI due to a traffic-related accident (49%) or a fall (44%). The mean QOLIBRI total score was 65.5 (± 22.6), indicating good HRQoL. Factors for higher level of satisfaction (p = 0.03; adjusted R² = 0.1) were autonomy in daily life (p = 0.03; adjusted R² = 0.09) and cognition (p = 0.05; adjusted R² = 0.05). HRQoL was weakly correlated with initial TBI severity (p = 0.04; adjusted R² = 0.02). 36% of patients reported unfavorable HRQoL with increased risk of one (20%) or two (16%) psychiatric disorders.

Conclusions

The majority of chronic TBI patients reported good HRQoL and the initial TBI severity is a slight contributor but not a strong predictor of HRQoL. Autonomy and cognition are decisive factors for satisfied outcome and should be clearly addressed in neurorehabilitation. One third of patients, however, suffer from unsatisfactory outcome with psychiatric sequelae. Thus, an early neuropsychiatric assessment after TBI is necessary and need to be installed in future TBI guidelines.

Sleep Supports Memory and Learning: Implications for Clinical Practice in Speech-Language Pathology

Purpose This tutorial aims to draw attention to the interactions among memory, sleep, and therapy potential and to increase awareness and knowledge in the field of speech-language pathology of the potential impact of sleep as a mediating or moderating factor in promoting therapeutic outcome. Method We highlight key findings from the literature on the cognitive neuroscience of memory, the neurophysiology of sleep, how sleep supports memory, and how sleep disruption affects memory and learning abilities in populations commonly served in speech-language pathology. Results Research increasingly points to the critical importance of sleep quality and quantity to memory and learning, and sleep disruption is linked to deficits in functional cognition that may limit our clients' ability to benefit from speech pathology interventions. Conclusions As a field dedicated to promoting memory, learning, and relearning through our interventions, any systemic factors that affect these abilities demand our attention. Although speech-language pathologists do not treat sleep disturbance, we play a critical role in recognizing the signs and symptoms of sleep disturbance and making appropriate referrals, as undiagnosed and untreated sleep disturbance can have serious impacts on success in therapeutic contexts. By considering how related factors affect memory and learning, we have the opportunity to take a whole client approach to maximizing our clients' therapy potential and functional progress.

Physical Activity Intolerance and Cardiorespiratory Dysfunction in Patients with Moderate-to-Severe Traumatic Brain Injury

Moderate-to-severe traumatic brain injury (TBI) is a chronic health condition with multi-systemic effects. Survivors face significant long-term functional limitations, including physical activity intolerance and disordered sleep. Persistent cardiorespiratory dysfunction is a potentially modifiable yet often overlooked major contributor to the alarmingly high long-term morbidity and mortality rates in these patients. This narrative review was developed through systematic and non-systematic searches for research relating cardiorespiratory function to moderate-to-severe TBI. The literature reveals patients who have survived moderate-to-severe TBI have ~ 25-35% reduction in maximal aerobic capacity 6-18 months post-injury, resting pulmonary capacity parameters that are reduced 25-40% for weeks to years post-injury, increased sedentary behavior, and elevated risk of cardiorespiratory-related morbidity and mortality. Synthesis of data from other patient populations reveals that cardiorespiratory dysfunction is likely a consequence of ventilator-induced diaphragmatic dysfunction (VIDD), which is not currently addressed in TBI management. Thus, cardiopulmonary exercise testing should be routinely performed in this patient population and those with cardiorespiratory deficits should be further evaluated for diaphragmatic dysfunction. Lack of targeted treatment for underlying cardiorespiratory dysfunction, including VIDD, likely contributes to physical activity intolerance and poor functional outcomes in these patients. Interventional studies have demonstrated that short-term exercise training programs are effective in patients with moderate-to-severe TBI, though improvement is variable. Inspiratory muscle training is beneficial in other patient populations with diaphragmatic dysfunction, and may be valuable for patients with TBI who have been mechanically ventilated. Thus, clinicians with expertise in cardiorespiratory fitness assessment and exercise training interventions should be included in patient management for individuals with moderate-to-severe TBI.

Hamid AI, Abdullah MZ, Azman A, Abdullah JM. Detection of Moderate Traumatic Brain Injury from Resting-State Eye-Closed Electroencephalography

Traumatic brain injury (TBI) is one of the injuries that can bring serious consequences if medical attention has been delayed. Commonly, analysis of computed tomography (CT) or magnetic resonance imaging (MRI) is required to determine the severity of a moderate TBI patient. However, due to the rising number of TBI patients these days, employing the CT scan or MRI scan to every potential patient is not only expensive, but also time consuming. Therefore, in this paper, we investigate the possibility of using electroencephalography (EEG) with computational intelligence as an alternative approach to detect the severity of moderate TBI patients. EEG procedure is much cheaper than CT or MRI. Although EEG does not have high spatial resolutions as compared with CT and MRI, it has high temporal resolutions. The analysis and prediction of moderate TBI from EEG using conventional computational intelligence approaches are tedious as they normally involve complex preprocessing, feature extraction, or feature selection of the signal. Thus, we propose an approach that uses convolutional neural network (CNN) to automatically classify healthy subjects and moderate TBI patients. The input to this computational intelligence system is the resting-state eye-closed EEG, without undergoing preprocessing and feature selection. The EEG dataset used includes 15 healthy volunteers and 15 moderate TBI patients, which is acquired at the Hospital Universiti Sains Malaysia, Kelantan, Malaysia. The performance of the proposed method has been compared with four other existing methods. With the average classification accuracy of 72.46%, the proposed method outperforms the other four methods. This result indicates that the proposed method has the potential to be used as a preliminary screening for moderate TBI, for selection of the patients for further diagnosis and treatment planning.

Self-report Pain Scale Reliability in Veterans and Service Members With Traumatic Brain Injuries Undergoing Inpatient Rehabilitation

INTRODUCTION

Pain in trauma patients with traumatic brain injury (TBI) may heighten cognitive-behavioral impairment and impede rehabilitation efforts. Multiple self-report pain assessment tools have been shown reliable in cognitively intact adults and children but are understudied in the cognitively impaired, particularly in persons with TBI. The objective of this study was to assess the utility and reliability of four pain assessment instruments among TBI patients during inpatient rehabilitation and the influence of cognitive impairment.

METHODS

Participants self-completed four pain intensity measures, the Verbal Descriptor Scale, Faces Pain Scale (Faces), Numerical Rating Scale (NRS), and Color-Enhanced Visual Analog Scale (CAS), during five study visits over a 2-week period. Data were collected on time to completion and most preferred pain measure. To assess scale reliability, participants re-rated their current pain. To assess scale responsiveness, standard mean response was measured across time and a worst past pain experience was rated. Cognitive impairment was assessed with the Memory, Orientation, and Amnesia Test.

RESULTS

The NRS was the most preferred measure by participants at every time point in the study. Mean pain measure completion time for all measures was under 11 seconds and did not significantly change during the study period. All scales showed very high test-retest reliability, with very strong correlations. Standard mean response from day 0 to 14 ranged from 0.387 to 0.532 across the scales. When stratified by cognitive impairment, the mean scores were consistently nominally higher for impaired participants, reaching statistical significance only for the CAS and Faces at baseline. In the cognitive impaired group, reliability for the Faces showed some weakening, as did the VAS to a milder degree.

CONCLUSIONS

All four pain measures demonstrated good utility, very high test-retest reliability, and satisfactory responsiveness. Greater cognitive impairment was associated with elevated pain ratings, especially in the Faces and CAS. The NRS was the most preferred by patients, regardless of cognitive impairment level.

The role of PTSD and TBI in post-deployment sleep outcomes

The purpose of this study was to evaluate the main and interaction effects of PTSD and TBI on sleep outcomes in veterans. Post-deployment combat veterans (N = 293, 87.37% male) completed clinical interviews to determine diagnosis and severity of PTSD and deployment TBI history, as well as subjective measures of sleep quality, sleep duration, and restedness. Sleep-related medical diagnoses were extracted from electronic medical records for all participants. PTSD and TBI were each associated with poorer ratings of sleep quality, restedness, shorter sleep duration, and greater incidence of clinically diagnosed sleep disorders. Analyses indicated main effects of PTSD on sleep quality (p < .001), but no main effects of TBI. PTSD severity was significantly associated with poorer sleep quality (p < .001), restedness (p = .018), and shorter sleep duration (p = .015). TBI severity was significantly associated with restedness beyond PTSD severity (p = .036). There were no interaction effects between diagnostic or severity variables. PTSD severity is a driving factor for subjective ratings of sleep disturbance beyond PTSD diagnosis as well as TBI diagnosis and severity. Despite this, poor sleep was apparent throughout the sample, which suggests post-deployment service members may globally benefit from routine screening of sleep problems and increased emphasis on sleep hygiene.

Sleep disturbances among older adults following traumatic brain injury

Sleep disturbances are common sequelae of traumatic brain injury (TBI) that are associated with poorer recovery. This is important among older adults, who fare worse following TBI relative to younger adults and have a higher prevalence of sleep disorders. The objective of this study was to assess the risk of newly-diagnosed sleep disorders following TBI among adults ≥65 years. Using a large commercial insurance database, older adults diagnosed with TBI between 2008-2014 (n = 78,044) and non-TBI controls (n = 76,107) were identified. The first dates of diagnosis of four common sleep disorders (hypersomnia, insomnia, obstructive sleep apnea, and restless legs syndrome) and a composite of any sleep disorder were identified. To compare groups, this study used a difference-in-differences (DID) approach, accounting for pre-index differences between cohorts and the trends in sleep diagnoses over time. Individuals with TBI were more likely to have any newly-diagnosed sleep disorder before (14.1% vs 9.4%, p < 0.001) and after (22.7% vs 14.1%, p < 0.001) the index date. In fully adjusted DID models, TBI was associated with an increased risk of insomnia (rate ratio (RR) = 1.17; 95% confidence interval (CI) = 1.08-1.26) and any sleep disorder (RR = 1.13; 95% CI = 1.08-1.19). Following TBI among older adults, screening and education on sleep disorders should be considered.

Brain white matter damage and its association with neuronal synchrony during sleep

The restorative function of sleep partly relies on its ability to deeply synchronize cerebral networks to create large slow oscillations observable with EEG. However, whether a brain can properly synchronize and produce a restorative sleep when it undergoes massive and widespread white matter damage is unknown. Here, we answer this question by testing 23 patients with various levels of white matter damage secondary to moderate to severe traumatic brain injuries (ages 18-56; 17 males, six females, 11-39 months post-injury) and compared them to 27 healthy subjects of similar age and sex. We used MRI and diffusion tensor imaging metrics (e.g. fractional anisotropy as well as mean, axial and radial diffusivities) to characterize voxel-wise white matter damage. We measured the following slow wave characteristics for all slow waves detected in N2 and N3 sleep stages: peak-to-peak amplitude, negative-to-positive slope, negative and positive phase durations, oscillation frequency, and slow wave density. Correlation analyses were performed in traumatic brain injury and control participants separately, with age as a covariate. Contrary to our hypotheses, we found that greater white matter damage mainly over the frontal and temporal brain regions was strongly correlated with a pattern of higher neuronal synchrony characterized by slow waves of larger amplitudes and steeper negative-to-positive slopes during non-rapid eye movement sleep. The same pattern of associations with white matter damage was also observed with markers of high homeostatic sleep pressure. More specifically, higher white matter damage was associated with higher slow-wave activity power, as well as with more severe complaints of cognitive fatigue. These associations between white matter damage and sleep were found only in our traumatic brain injured participants, with no such correlation in controls. Our results suggest that, contrary to previous observations in healthy controls, white matter damage does not prevent the expected high cerebral synchrony during sleep. Moreover, our observations challenge the current line of hypotheses that white matter microstructure deterioration reduces cerebral synchrony during sleep. Our results showed that the relationship between white matter and the brain's ability to synchronize during sleep is neither linear nor simple.

Relationships between Post-Concussion Sleep and Symptom Recovery: A Preliminary Study

Post-concussion sleep disturbances can be debilitating and may influence days to symptom recovery; however, evidence is minimal. The purpose of this study was to explore relationships between days to symptom recovery and aspects of sleep, as measured by actigraphy and subjective sleep questionnaires in a concussed sample. Thirty-one college students were physician-diagnosed with a concussion and asked to complete a daily sleep symptom checklist. Participants (n = 14) were excluded based on lack of compliance/early termination (22.6%), recorded <5 nights of data (12.9%), and protracted recoveries (3.2%). Final concussed sample included 17 college-aged students (varsity student-athletes, n = 5; university students, n = 12). A wrist-worn ActiGraph GT9X Link was provided during initial evaluation (within 72 h post-injury) and worn continuously until symptom recovery (follow-up evaluation; 14.3 ± 5.9 days post-injury). The Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS) also were completed at follow-up. Pearson's correlations were conducted to determine relationships between days to symptom recovery and actigraphy sleep outcomes (sleep onset latency, wake after sleep onset (WASO_norm), total sleep time, sleep efficiency (SE), and number of awakenings) across recovery stages (2-3 days post-injury, mid-point, and end). Spearman's rho correlations were used to determine relationships between subjective sleep (PSQI global), sleepiness (ESS total), and sleep cluster symptom severity and days to symptom recovery. At recovery mid-point, individuals who were awake longer throughout the night (24.1 ± 9.0%) and/or were less efficient at sleeping (73.7 ± 9.7%) took longer to recover (WASO_norm: r = 0.58, p = 0.015; SE: r = -0.51, p = 0.035). Poorer post-concussion sleep quality (based on PSQI) was correlated with longer recovery (r_s = 0.70, p = 0.001). Post-concussion sleep-wake disturbances at recovery mid-point and overall poorer sleep quality may be associated with longer symptom recovery. Our findings provide preliminary guidance on identifying those who may be at risk for longer recoveries based on poorer sleep post-injury.

Subacute sleep disturbance in moderate to severe traumatic brain injury: a systematic review

Objective: This systematic review evaluated subacute sleep disturbance following moderate to severe traumatic brain injury (TBI) and the impact of secondary factors such as mood or pain.Methods: A comprehensive search strategy was applied to nine databases. Inclusion criteria included: adults ≥18 years, moderate and severe TBI and within 3 months of injury. Eligible studies were critically appraised using the McMaster Quantitative Critical Review Form. Study characteristics, outcomes, and methodological quality were synthesized. This systematic review was registered with PROSPERO (Registration number: CRD42018087799).Results: Ten studies were included. Research identified early-onset sleep disturbances; characterized as fragmented sleep periods and difficulty initiating sleep. Alterations to sleep architecture (e.g. rapid eye movement sleep) were reported. Sleep disturbance appears to associate with alterations of consciousness. Sleep disturbance tended to be particularly increased during the phase of post-traumatic amnesia (PTA) (78.7%).Conclusions: There is a limited amount of research available, which has inherent measurement and sample size limitations. The gold standard for measuring sleep (polysomnography) was rarely utilized, which may affect the detection of sleep disturbance and sleep architecture. Secondary factors potentially influencing sleep were generally not reported. Further evaluation on associations between sleep and PTA is needed.

Transcranial Direct Current Stimulation to Improve the Dysfunction of Descending Pain Modulatory System Related to Opioids in Chronic Non-cancer Pain: An Integrative Review of Neurobiology and Meta-Analysis

Background: Opioid long-term therapy can produce tolerance, opioid-induced hyperalgesia (OIH), and it induces dysfunction in pain descending pain inhibitory system (DPIS). Objectives: This integrative review with meta-analysis aimed: (i) To discuss the potential mechanisms involved in analgesic tolerance and opioid-induced hyperalgesia (OIH). (ii) To examine how the opioid can affect the function of DPIS. (ii) To show evidence about the tDCS as an approach to treat acute and chronic pain. (iii) To discuss the effect of tDCS on DPIS and how it can counter-regulate the OIH. (iv) To draw perspectives for the future about the tDCS effects as an approach to improve the dysfunction in the DPIS in chronic non-cancer pain. Methods: Relevant published randomized clinical trials (RCT) comparing active (irrespective of the stimulation protocol) to sham tDCS for treating chronic non-cancer pain were identified, and risk of bias was assessed. We searched trials in PubMed, EMBASE and Cochrane trials databases. tDCS protocols accepted were application in areas of the primary motor cortex (M1), dorsolateral prefrontal cortex (DLPFC), or occipital area. Results: Fifty-nine studies were fully reviewed, and 24 with moderate to the high-quality methodology were included. tDCS improved chronic pain with a moderate effect size [pooled standardized mean difference; -0.66; 95% confidence interval (CI) -0.91 to -0.41]. On average, active protocols led to 27.26% less pain at the end of treatment compared to sham [95% CI; 15.89-32.90%]. Protocol varied in terms of anodal or cathodal stimulation, areas of stimulation (M1 and DLPFC the most common), number of sessions (from 5 to 20) and current intensity (from 1 to 2 mA). The time of application was 20 min in 92% of protocols. Conclusion: In comparison with sham stimulation, tDCS demonstrated a superior effect in reducing chronic pain conditions. They give perspectives that the top-down neuromodulator effects of tDCS are a promising approach to improve management in refractory chronic not-cancer related pain and to enhance dysfunctional neuronal circuitries involved in the DPIS and other pain dimensions and improve pain control with a therapeutic opioid-free. However, further studies are needed to determine individualized protocols according to a biopsychosocial perspective.

Increased short- and long-term risk of sleep disorders in people with traumatic brain injury

This study aims to evaluate the relationship between traumatic brain injury (TBI) and sleep disorders (SDs). We first initiated a questionnaire-based clinical survey to assess sleep problems in the early stage after a TBI, followed by a population-based cohort study to evaluate the long-term risk of SDs in TBI patients. For short-term clinical survey, mild (m)TBI patients and healthy controls were recruited to evaluate the sleep quality and daytime sleepiness using the Pittsburg Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS) within two weeks after a TBI. For long-term observation, a 5-year nationwide population-based cohort study that utilized a large administrative database was conducted. In the short-term survey, 236 mTBI patients and 223 controls were analyzed. Total scores of the PSQI and ESS were significantly higher in mTBI patients than in the controls. In the long-term cohort study, 6932 TBI cases and 34,660 matched controls were included. TBI cases had a 1.36-fold greater risk of SDs compared to the non-TBI controls during the 5-year follow-up period. Results showed that patients with TBI had a significantly higher risk of SDs than did controls both in the early stage and during a 5-year follow-up period.

Factors associated with the remission of insomnia after traumatic brain injury: a traumatic brain injury model systems study

Objective: To examine the factors associated with the remission of insomnia by examining a sample of individuals who had insomnia within the first two years after traumatic brain injury (TBI) and assessing their status at a secondary time point.Design and Methods: Secondary data analysis from a multicenter longitudinal cohort study. A sample of 40 individuals meeting inclusion criteria completed a number of self-report scales measuring sleep/wake characteristics (Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, Insomnia Severity Index, Sleep Hygiene Index), fatigue and depression (Multidimensional Assessment of Fatigue, Patient Health Questionnaire-9), and community participation (Participation Assessment with Recombined Tools-Objective). One cohort was followed at 1 and 2 years post-injury (n = 19) while a second cohort was followed at 2 and 5 years post-injury (n = 21).Results: Remission of insomnia was noted in 60% of the sample. Those with persistent insomnia had significantly higher levels of fatigue and depression at their final follow-up and poorer sleep hygiene across both follow-up time-points. A trend toward reduced community participation among those with persistent insomnia was also found.Conclusion: Individuals with persistent post-TBI insomnia had poorer psychosocial outcomes. The chronicity of post-TBI insomnia may be associated with sleep-related behaviors that serve as perpetuating factors.

Treatment of Pediatric Concussion

Concussions have gained attention in medical literature, legal literature, and lay media over the past several years as a public health affecting children, particularly those who do not improve in the first few days after an injury. We discuss strategies for acute management immediately after a concussion and an introduction to medical and non-medical options for treatment of the complex symptoms that persist in some patients with concussions. We examine the role of rest and exercise during recovery. We briefly discuss the role of the multidisciplinary approach to concussion in a setting that engages multiple specialists. Finally, we address policy changes related to sport-concussions and their efficacy in improving long term outcomes.

Psychiatric Care of the Post-September 11 Combat Veteran: A Review

BACKGROUND

Post-September 11, 2001 combat veterans represent a growing cohort of patients with unique mental health needs, particularly around post-traumatic stress disorder (PTSD) and traumatic brain injury (TBI). The United States (US) remains engaged in conflicts around the globe, so this patient cohort will continue to grow in number. With around 40% of American combat veterans from Iraq and Afghanistan seeking mental health care outside of the Veterans Affairs, understanding the psychiatric needs of the post-September 11 combat veteran is an important goal for all psychiatrists. These patients are relevant to consultation-liaison (C-L) psychiatrists because of their high comorbidity of conditions such as TBI, obstructive sleep apnea, insomnia, and chronic pain. This article reviews the current literature on mental health care for the post-September 11 combat veteran, emphasizing PTSD and TBI treatment, and culling evidence-based recommendations from randomized controlled trials of combat veterans. Emphasis is also placed on the Veterans Affairs/Department of Defense Clinical Practice Guidelines. The authors also bring unique clinical expertise of having served on active duty as psychiatrists for the US Army, including in a combat zone, and both currently work in a Veterans Affairs Iraq and Afghanistan combat veteran mental health clinic.

OBJECTIVE

This review outlines useful treatment approaches for PTSD and TBI and briefly covers the comorbid conditions of major depression, chronic pain, and substance use disorders. This review will prepare C-L psychiatrists to care for this challenging patient cohort.

The interplay between neuroendocrine and sleep alterations following traumatic brain injury

BACKGROUND

Sleep and endocrine disruptions are prevalent after traumatic brain injury (TBI) and are likely to contribute to morbidity.

OBJECTIVE

To describe the interaction between sleep and hormonal regulation following TBI and elucidate the impact that alterations of these systems have on cognitive responses during the posttraumatic chronic period.

METHODS

Review of preclinical and clinical literature describing long-lasting endocrine dysregulation and sleep alterations following TBI. The bidirectional relationship between sleep and hormones is described. Literature describing co-occurrence between sleep-wake disturbances and hormonal dysregulation will be presented. Review of literature describing cognitive effects of seep and hormones. The cognitive and functional impact of sleep disturbances and hormonal dysregulation is discussed within the context of TBI.

RESULTS/CONCLUSIONS

Sleep and hormonal alterations impact cognitive and functional outcome after TBI. Diagnosis and treatment of these disturbances will impact recovery following TBI and should be considered in the post-acute rehabilitative setting.

Positive and Negative Affect Mediate the Influences of a Maladaptive Emotion Regulation Strategy on Sleep Quality

Positive affect, negative affect, and emotion regulation strategies are related to sleep quality. Emotion regulation can also act as either a protective factor against the development of psychopathologies, or as a risk factor for their development, and therefore may be one mechanism linking mental health and sleep. However, currently it is not known whether affect can mediate the impact of emotion regulation strategy use on sleep quality. An opportunity sample in a healthy population completed the Positive and Negative Affect Schedule providing measures of positive and negative affect, the Pittsburgh Sleep Quality Index providing a measure of sleep quality, and the Emotion Regulation Questionnaire to record habitual use of emotion regulation strategies. Data were analysed using regression and mediation analyses. Negative affect and expressive suppression were positively correlated with PSQI score suggesting that as negative affect and expressive suppression use increased, sleep quality decreased. Positive affect was negatively correlated with PSQI score suggesting that as positive affect increased sleep quality improved. Further, mediation analyses revealed that both positive affect and negative affect mediated the impact of expressive suppression on sleep quality. Moreover, this partial mediation provides the first description that the influences of affect and expressive suppression on sleep quality are at least partially distinct. Targeting improvements in negative affect and effective emotion regulation strategy use may improve the efficacy of interventions aimed at improving sleep quality and the reduction in symptomology in psychopathologies.

Neurobehavioral Management of the Polytrauma Veteran

Since the inception of the Afghanistan and Iraq wars, an increasing number of veterans have sought treatment from the Department of Veterans Affairs for combat-related injuries. Many veterans experience postconcussive symptoms, traumatic stress, chronic pain, sensory deficits, and/or headaches. The goal of this article was to highlight some of the challenges treatment providers may face, while providing rehabilitation specialists with important evaluation and treatment considerations in working with this population to maximize outcomes for these veterans.

Development and Evaluation of a Cognitive Behavioural Intervention for Chronic Post-Stroke Insomnia

BACKGROUND

Cognitive behavioural therapy for insomnia (CBTI) has been successfully applied to those with chronic illness. However, despite the high prevalence of post-stroke insomnia, the applicability of CBTI for this population has not been substantially researched or routinely used in clinical practice.

AIMS

The present study developed a 'CBTI+' protocol for those with post-stroke insomnia and tested its efficacy. The protocol also incorporated additional management strategies that considered the consequences of stroke.

METHOD

A single-case experimental design was used with five community-dwelling individuals with post-stroke insomnia. Daily sleep diaries were collected over 11 weeks, including a 2-week baseline, 7-week intervention and 2-week follow-up. The Insomnia Severity Index, Dysfunctional Attitudes and Beliefs About Sleep Scale, Epworth Sleepiness Scale, Fatigue Severity Scale and Stroke Impact Scale were administered pre- and post-treatment, as well as at 2-week follow-up.

RESULTS

At post-treatment, three participants no longer met diagnostic criteria for insomnia and all participants showed improvements on two or more sleep parameters, including sleep duration and sleep onset latency. Three participants showed a reduction in daytime sleepiness, increased quality of life and reduction in unhelpful beliefs about sleep.

CONCLUSIONS

This study provides initial evidence that CBTI+ is a feasible and acceptable intervention for post-stroke insomnia. Furthermore, it indicates that sleep difficulties in community-dwelling stroke populations are at least partly maintained by unhelpful beliefs and behaviours. The development and delivery of the CBTI+ protocol has important clinical implications for managing post-stroke insomnia and highlights directions for future research.