Abstract
BACKGROUND:
Traumatic brain injury (TBI) is a hallmark of wartime injury and is related to numerous sleep wake disorders (SWD), which persist long term in veterans. Current knowledge gaps in pathophysiology have hindered advances in diagnosis and treatment.
OBJECTIVE:
We reviewed TBI SWD pathophysiology, comorbidities, diagnosis and treatment that have emerged over the past two decades.
METHODS:
We conducted a literature review of English language publications evaluating sleep disorders (obstructive sleep apnea, insomnia, hypersomnia, parasomnias, restless legs syndrome and periodic limb movement disorder) and TBI published since 2000. We excluded studies that were not specifically evaluating TBI populations.
RESULTS:
Highlighted areas of interest and knowledge gaps were identified in TBI pathophysiology and mechanisms of sleep disruption, a comparison of TBI SWD and post-traumatic stress disorder SWD. The role of TBI and glymphatic biomarkers and management strategies for TBI SWD will also be discussed.
CONCLUSION:
Our understanding of the pathophysiologic underpinnings of TBI and sleep health, particularly at the basic science level, is limited. Developing an understanding of biomarkers, neuroimaging, and mixed-methods research in comorbid TBI SWD holds the greatest promise to advance our ability to diagnose and monitor response to therapy in this vulnerable population.
Keywords
Introduction
The U.S. Department of Defense (DoD) considers traumatic brain injury (TBI) a “signature injury of troops” returning from Afghanistan and Iraq (Holdeman, 2009). TBI is also one of the most commonly reported injuries among military service members (SMs), with mild TBI (mTBI) accounting for 82.3% of military-related brain injuries, and moderate and severe TBIs accounting for ∼9% and ∼1%, respectively (DoD TBI Worldwide Numbers, 2022). Additionally, compared to civilians, military members and veterans are more susceptible to experiencing TBI due to their high physical demands as well as increased exposure to occupational hazards and combat.
TBI is a complex medical phenomenon that can manifest with sleep, cognitive, behavioral, inflammatory, or multiple other physiological processes (see Fig. 1). Common sequelae of TBI include sleep-wake disorders, insomnia, obstructive sleep apnea, hypersomnia, and circadian rhythm disorders (Gilbert et al., 2015; N. Grima et al., 2016; Leng et al., 2021; Wickwire et al., 2018). Sleep disturbances following TBI may be consequences of both a direct injury to arousal, sleep, and circadian circuitry and also secondary to downstream negative consequences (Sandsmark et al., 2017). Meta-analyses have reported that approximately 50% of analyzed subjects with a history of TBI experienced various sleep disturbances, with 25–29% being diagnosed with specific sleep disorders such as insomnia, hypersomnia, sleep apnea, and narcolepsy (Aoun et al., 2019; Mathias & Alvaro, 2012). These rates far exceed the prevalence of such sleep issues observed in the general population. Studies analyzing Veteran populations reported comparable statistics, with some reporting that approximately 55–73% of Veterans experienced sleep disturbances, notably insomnia and reduced sleep time, following TBI (Farrell-Carnahan et al., 2013; Mosti CB et al., 2019). This is supported by a recent study of a large dataset of Veterans demonstrating that those with TBI were 41% more likely to develop any sleep disorders, including sleep apnea, insomnia, hypersomnia, and sleep-related movement disorders, compared to those without TBI, with the association being stronger for mTBIs (Leng et al., 2021). Further, studies analyzing SMs reported higher prevalence (40–70%) of sleep problems and disorders among military personnel with TBI (Caldwell et al., 2019; Hai et al., 2021; Harrison EM et al., 2023; Haynes et al., 2022; Mosti CB et al., 2019; Mysliwiec et al., 2022).

Feed-Forward Cycle of TBI Sleep-Wake Disorders demonstrating complex dynamic between TBI, Sleep Wake-Disorder, and multi-system disrupted Physiology.
Given the nature of past conflicts, with high rates of physical and psychological injuries due to blast exposures and multiple tours of duty, Veterans returning from combat settings often presented with co-occurring TBI and PTSD (Bogdanova & Verfaellie, 2012). For instance, 5–7% of Veterans returning from Operation Iraqi Freedom/Operation Enduring Freedom/Operation New Dawn (OEF/OIF/OND) were reported to have probable co-morbid mTBI and PTSD. The rate of co-morbid PTSD in mTBI has been reported between 33% and 39% (Carlson et al., 2011a). There is currently limited understanding of the pathophysiological characteristics of sleep disturbances in individuals with PTSD and TBI. Only a few studies have examined the sleep quality and the unique impact of co-occurring PTSD and TBI on sleep impairment, as compared to individuals with either TBI or PTSD alone.
Sleep disruptions not only exacerbate post-concussive symptoms and neuropsychiatric symptoms but also significantly affect an individual’s capacity to self-regulate (Lew et al., 2009; Nguyen et al., 2017). Studies have also shown that sleep disturbances have the potential to persist for more than 20–25 years after the initial injury (Balba et al., 2018; Elliott et al., 2020a). The sleep impairments experienced by TBI patients have a profound impact on their quality of life, functional outcomes, and the overall rehabilitation process (Gilbert et al., 2015; Wilde et al., 2007). Considering the substantial effects of sleep disturbances on TBI patients, investigating these disruptions and their relationship with clinical outcomes post-injury remains a research priority. Investigative work focused on identification of potential mechanisms underlying the sleep problems can facilitate development of effective, targeted treatment strategies to optimize recovery, rehabilitation, and overall health outcomes.
Given the growing need and interest in understanding the relationship between TBI and sleep, this review aims to achieve the following objectives: (1) provide a comprehensive overview of TBI and its associated sleep disturbances in military and veteran populations, outlining the areas of knowledge gaps (2) highlight the importance of TBI-PTSD comorbidity and its influence on sleep patterns, (3) explore recent advancements in biomarkers related to sleep and glymphatic function in patients with military-related TBI, including blood-based and imaging markers, (4) review recommendations for the clinical management of sleep disorders in individuals with TBI, and (5) highlight future directions in TBI-sleep care, including promising research avenues that may lead to improved diagnostic, prognostic, and management approaches for military and veteran patients. Ultimately, enhancing sleep health in this population can have important impacts on their overall quality of life and health outcomes.
TBI pathophysiology
As brain tissue is acutely disrupted through blast and/or impact injuries, axon membranes are damaged through shearing forces, leading to potassium flooding the extracellular space and depolarization. This “impact depolarization”, causes the release of excitatory amino acids and neurotransmitters (Gruenbaum et al., 2022). Specifically, release of glutamate from impact depolarization leads to an excess concentration of extracellular glutamate (Gruenbaum et al., 2022). Elevated glutamate causes inappropriate activation of ligand-gated ion channels such as the NMDA and AMPA receptors, resulting in the rapid influx of calcium and sodium and efflux of potassium (Jamjoom et al., 2021). Disruptions to ion homeostasis leads to neuronal death leading to extravasation of iron, triggering ferroptosis and protein-rich fluid with free fibrin, thrombin, and plasmin, stimulating inflammation and reactive oxygen species formation (Geng et al., 2021; Sulhan et al., 2020). Cellular hypoxia of non-ruptured but damaged neurons follows, shifting to glycolytic metabolism with lactic acid accumulation. The resulting acidosis damages the blood brain barrier via vasogenic edema and a local inflammatory response (Hay et al., 2015). The dysfunctional ion regulation also causes excess intra-axonal calcium concentration, which activates calpain, a protease, to proteolyze numerous cytoskeletal proteins and lead to permanent axonal damage (Saatman et al., 2008).
The damage caused immediately from a primary injury can often prolong and progress into secondary injuries, which are due to biochemical events that occur hours to days after the initial injury (Mira et al., 2021). The primary culprit of secondary injury is prolonged neuroinflammation, the innate immune response to clear damaged neurons and glial cells from the site of injury (Mira et al., 2021). As astrocytes proliferate and hypertrophy to respond to the injury, an astroglia scar surrounding the damaged neural tissue forms; however, the scar contributes to excitotoxicity, and epileptiform activity may ensue (Shandra et al., 2019). Increasing evidence in animals and humans suggests that TBI also promotes dysfunction of the glymphatic system, possibly related to aquaporin-4 (AQP4) expression mislocalization from the end feet of astrocytes to the cell body (Ferrara et al., 2022). Furthermore, TBI is associated with autonomic dysfunction, resulting in relatively elevated sympathetic activity (Park et al., 2017; Ulmer et al., 2018), another potential contributor to glymphatic dysfunction in addition to autonomic symptoms such as blurred vision, palpitations, diaphoresis, orthostasis and dizziness.
Mechanisms of sleep disruption
Sleep disturbances result from immediate and delayed damage during and after TBI (Kaleyias & Kothare, 2022). Immediately after injury, neuronal networks are weakened or completely disrupted as neurons are sheared and destroyed (Kaleyias & Kothare, 2022). In severe TBI, as time progresses, additional injury comes from increased intracranial pressure, hypoxemia, hypotension, seizures, hematomas, and the cellular excitotoxicity (Kaleyias & Kothare, 2022). A number of potential sleep master regulator circuits could be compromised, leading to post-TBI sleep symptoms, such as damage to non-rapid eye movement (NREM) sleep coordinating gamma amino butyric acid (GABA)-ergic projections from the ventrolateral preoptic nucleus (VLPO), which could make falling asleep difficult. The hypothalamic-pituitary-adrenal (HPA) axis and the central orexinergic/hypocretinergic are two interconnected pathways that affect sleep and are damaged in TBI (Baumann et al., 2005).
The (HPA) axis’ ability to revert to homeostasis after heightened response from a TBI is impaired (Tapp et al., 2020). The neuroendocrine imbalance, specifically an increase in cortisol, may increase inflammatory cytokines including IL-1, IL-6, and tumor necrosis factor-alpha, and therefore worsening both TBI and sleep disruption outcomes. Whether mild TBI is a risk factor for neuroendocrine dysfunction remains a matter for further research.
The central orexinergic/hypocretinergic system promotes arousal through the effects of orexins, which are excitatory neuropeptides produced in the lateral hypothalamus. Orexigenic neurons project to the limbic system, thalamus, spinal cord, cortex, brainstem, and hypothalamic nuclei to excite cholinergic and monoaminergic wake-promoting systems, and they can be disrupted by TBI (Kousi et al., 2021). Studies in moderate and severe TBI have shown decreased orexinergic neuron content and orexin levels after TBI, but this may be due to the commonality of damaging the hypothalamus during TBI versus discrete disruption of the orexinergic/hypocretinergic system (Baumann et al., 2007a). This loss of orexinergic function could, in theory, trigger excessive daytime sleepiness and even obstructive sleep apnea (Sithirungson et al., 2023), common after TBI. Orexins, specifically orexin-A, have been found to increase ACTH levels through the activation of both corticotropin releasing factor and arginine vasopressin mRNA expression in the parvocellular cells of the paraventricular nucleus (Al-Barazanji et al., 2001). Such association between the HPA and orexinergic system further suggests the effects of decreased arousal and wakefulness through the dysfunction of both pathways after TBI.
However, when Baumann and colleagues followed TBI patients for six months, they showed that most patients’ orexin levels had returned to normal (Baumann et al., 2007b). Furthermore, orexin deficiency is unlikely to account for manifestations of insomnia, which may be more common than hypersomnia in the mild TBI population, suggesting damage may be related to damage in other pathways of sleep-wake and circadian regulatory control (Werner & Baumann, 2017).
Insomnia, importantly, can be a manifestation of a circadian rhythm disorder, where the circadian drive for alertness is poorly aligned (or perhaps diminished in signal amplitude) with the homeostatic drive to sleep (Borbely, 1982). In one small study of 42 TBI patients with insomnia, Ayalon and colleagues found that 36% of patients with insomnia were likely symptomatic secondary to an unrecognized circadian rhythm disorder (Ayalon et al., 2007). Furthermore, multiple small studies have shown irregularities in the melatonin secretion patterns in TBI patients, both in timing of the dim light melatonin onset (DLMO) and the amplitude of the melatonin peak (Bell et al., 2023; N. A. Grima, Ponsford, St. Hilaire, et al., 2016; Shekleton et al., 2010a), and unlike in other populations, melatonin therapy for insomnia has yielded favorable results in several clinical trials (Cassimatis et al., 2023),
Another potential explanation for post TBI insomnia could include the relative hyperactivity in the sympathetic nervous system as has been observed with baroreflex, arterial stiffness, heart rate variability, and catecholamine studies (Clifton et al., 1981; Hilz et al., 2015; B. D. Johnson et al., 2018; Woolf et al., 1987). Sleep should be associated with periods of reduced noradrenergic activity in the locus coeruleus during non-REM and near deactivation during REM (Léger et al., 2009; Swift et al., 2018a; Verret et al., 2006). Abnormal elevations in noradrenergic activity could prevent several important processes during sleep - contributing to disorders such as insomnia. However, normative data during the sleep cycles is lacking and is a major gap in our understanding of sleep physiology. Elevated noradrenergic activity is also reported in the PTSD population, a common comorbidity with TBI, and parsing the relative contributions from both disorders towards sleep dysfunction can be difficult. Many military members with combat-related PTSD also have suffered comorbid TBI, and at times the blast was the inciting event that also precipitated PTSD. The complicated interrelationship between these conditions can be a challenge for study design often resulting in studies of the two comorbid conditions together.
Is a TBI sleep-wake disorder (SWD) different from PTSD SWD?
In the context of SWD, is the disruption with neural circuitry after TBI similar to the psychological stress associated with PTSD?
Individuals recovering from a TBI or PTSD often experience similar sleep-wake disorders (SWDs) such as insomnia or a REM-based sleep disorder (RBD) manifesting in excessive daytime sleepiness and pleiosomnia. Although the association between PTSD and TBI with clinical sleep disturbances has been well established (Ross et al., 1989; Wickwire et al., 2016; Yehuda et al., 2015), there lacks a consensus whether these conditions are two distinct SWDs and if they should be approached with different therapeutic strategies. Notably, PTSD symptoms strongly correlate with measures of sleep quality, making it difficult to separate their effects in comorbid populations (Gottshall, Agyemang, et al., 2022). In linear models, this situation can lead to issues with multicollinearity, limiting interpretation. Nonetheless, longitudinal studies examining sleep diagnoses that occur after the onset of TBI have successfully distinguished effects from comorbid psychiatric disorders (Haynes et al., 2021; Leng et al., 2021). It is likely that there is overlap between TBI and PTSD mechanisms of sleep disruption, and management of related SWDs requires biomarkers to elucidate and target underlying mechanisms. For example, as discussed earlier, elevated noradrenergic activity is a well-known mechanism of symptomology in the PTSD population (Naegeli et al., 2018; Pan et al., 2018; Wingenfeld et al., 2015). Addressing symptoms with noradrenergic blockade has been helpful in the PTSD population via stellate ganglion block (Rae Olmsted et al., 2020) and prazosin (Raskind et al., 2013), and clinical anecdotal evidence suggests it may have value in the TBI population for insomnia and limited evidence supports that it could help a number of parasomnias that involve arousals, such as the REM behavior disorder subset that some refer to as trauma associated sleep disorder, characterized by dream enactment (loss of REM atonia) and surges in sympathetic activity (Brock et al.,2022).
Neurotransmitter data
Since 2010, multiple studies have shown elevated norepinephrine (NE) levels in PTSD patients (Hendrickson et al., 2018; Wingenfeld et al., 2015) and hypothesize this could be responsible for their sleep symptoms (Vanderheyden et al., 2014; M. P. Walker & van der Helm, 2009). As the primary source of NE production within the CNS, increased activity in the locus coeruleus during sleep, particularly REM, is thought to be responsible for sleep disturbance within PTSD patients given their noradrenergic influence over wake and sleep promoting nuclei (Germain et al., 2013; Gimbel et al., 2023; Naegeli et al., 2018; Swift et al., 2018b; Wang et al., 2021).
The theory of a dysregulated functional connectivity continues to gain traction, and we and others are investigating whether modulating sleep- and arousal-promoting networks (e.g., basolateral amygdala, locus coeruleus) can correct the driving factor behind PTSD SWD sympathetic hyperactivity. Although there is considerable variability within the reported changes in sleep architecture in patients with PTSD, reports ranged from nonspecific fragmented REM sleep with a higher percentage of REM to increased N2 (C. Lewis et al., 2020; Mellman et al., 2014). Elucidating these findings in patients with TBI or PTSD and subsequent changes following treatment remains a target for future research.
Electroencephalogram features, polysomnography, and sleep architecture
The sleep electroencephalogram (EEG) data in TBI patients is widely variable and does not appear to support any clearly defined mechanism, however most studies are small, limited in their approach, and enroll varying severity and timing of TBI. Some studies reveal a decreased density of spontaneous K-complexes with fewer evoked K-complexes and decreased delta power during non-rapid eye-movement (NREM) sleep (A. Cote et al., 2015; Rao et al., 2011) while others report no differences in NREM or rapid eye-movement (REM) sleep when compared to healthy, non-TBI patients (Gosselin et al., 2009; Williams et al., 2008).
Several studies have demonstrated that patients with TBI experience increased sleep latency, increased wake after sleep onset (WASO) and decreased sleep efficiency (A Cote et al., 2015; Modarres et al., 2016; Rao et al., 2011; Shekleton et al., 2010b). Although the underlying neuropathological changes contributing to these disturbances remains hypothetical, various case reports have identified structural factors potentially responsible for TBI SWD, including direct damage to arousal-promoting neurons, inflammation in the cortex or subcortical structures and alterations in neural signaling (Chamoun et al., 2010; DelRosso et al., 2014; Valko et al., 2016; Yassin et al., 2015). Polysomnography (PSG) data from patients with PTSD also revealed increased sleep latency, increased WASO, and decreased sleep efficiency (Ansbjerg et al., 2023; Breslau et al., 2004; Mellman et al., 2014; Straus et al., 2015). However, patients without comorbid TBI do not necessarily have an instigating structural injury and cytotoxic event resulting in direct physical damage to the cortex or subcortical structures, rather, their impairment is likely related to stress-induced network remodeling detrimental to sleep regulatory and inhibitory mechanisms (Ansbjerg et al., 2023; Mellman et al., 2014; Straus et al., 2015).
Challenges in treating TBI SWD and PTSD SWD
Isolating TBI SWD from PTSD SWD when they are both present in an individual’s history remains challenging. A 2019 meta-analysis of 31 low-risk bias studies reporting a pooled prevalence percentage of 15.6% of patients developing PTSD following moderate or severe TBI (Van Praag et al., 2019). Data from this meta-analysis varied widely (2–36%), which further demonstrates the additional challenge of accurately diagnosing a patient with PTSD in the setting of TBI (Carlson et al., 2011b; Van Praag et al., 2019). The lines are further blurred when considering most of the current research on TBI and sleep is centered on combat veterans and active-duty warfighters suffering from concurrent TBI and PTSD or TBI with undiagnosed PTSD (Cooper et al., 2015; Elliott et al., 2020b; Hoge et al., 2008; Karr et al., 2014; Pietrzak et al., 2009; Trudeau et al., 1998; Warden, 2006). Whether the separation of pathophysiological contributions from PTSD and TBI is clinically relevant remains unclear, however, an understanding of underlying pathophysiology may inform the development of novel therapeutic targets.
Therefore, clinicians should have a high suspicion for multiple contributing factors and pursue sleep expertise to examine the pathophysiology carefully with a detailed sleep history, actigraphy and sleep diary monitoring, and polysomnogram. Successful management will likely require the employment of multiple strategies personalized to each patient and their suspected underlying contributing mechanisms (e.g., poor sleep hygiene, untreated OSA, PTSD, sympathetic hyperactivity, circadian dysfunction, motor contributions such as restless legs/PLMD. There are also significant challenges in patients with PTSD that impact response to therapy, such as non-compliance (Haynes et al., 2022; Lettieri et al., 2016). Military members with PTSD face the added challenge of frequent work-related travel and changing duty station to locations that may not have comparable resources and expertise. Comprehensive multidisciplinary care is probably the most effective solution for delivering personalized care in this population. Unfortunately, such an approach is time consuming, widely variable across clinical practices, and challenging to maintain over an extended period.
Recent and ongoing animal and human studies with promising data investigating novel neuromodulation techniques (e.g., acoustic or electrical stimulation, focused ultrasound) could provide the first TBI- or PTSD-specific interventions, but these approaches require additional studies prior to general acceptance in patient care paradigms (Huang et al., 2022; Kim et al., 2022; Tegeler et al., 2020).
What knowledge gaps need to be addressed with future research?
Although sleep disruption after TBI or PTSD has been well documented, the circumstances surrounding why certain patients develop SWD after varying severity of TBI and the lack of targeted treatment for PTSD SWD vs TBI SWD remain unclear. One avenue to address the complicated relationship between PTSD and TBI includes future studies investigating comparisons in the prevalence, subjective sleep measures, and objective physiological sleep measures in individuals with TBI SWD without evidence of psychological trauma (e.g.., concussions in athletes) often present in patients exposed to combat or motor vehicle collisions (Gosselin et al., 2009). Such data could be invaluable in identifying clinically relevant differences between PTSD SWD and TBI SWDs.
Role for biomarkers in management of TBI SWD
Neuronal, vascular and astroglial injuries are believed to manifest neuropsychiatric symptoms after TBI (Devoto et al., 2017). Mild TBI involves microscopic sheer stressors and biomechanical forces, which in turn precipitates the release of multiple proteins as well as induction of the inflammatory response cascade (J. M. Lewis et al., 2020; G. Li et al., 2022). Specifically to sleep, biomechanical forces and dysregulated immune response are believed to damage cortical pathways in the glutamate and orexin systems, as well as in circadian pathways, leading to sleep difficulty in patients with TBI (Elliott et al., 2022; G. Li et al., 2022).
Biomarkers are reproducible objective measures that can serve as surrogates informing the status of biological processes. They can be useful in the study of endophenotypes for disease classification and pathophysiology characterization, the prediction of outcomes, the identification of new targets for therapy, and the measurement of target engagement in a therapeutic trial. For this reason, a new era in TBI biomarkers has yielded hundreds of studies related to biomarkers of TBI diagnosis and outcome prediction. Multiple studies have shown associations with TBI and molecular biomarkers from plasma or serum: proteins such as glial fibrillary acidic protein (GFAP), ubiquitin C-terminal hydrolase L1 (UCH-L1), neurofilament light, tau, amyloid beta 42 (AB-42), and inflammatory cytokines such as C-reactive protein (CRP), tumor necrosis factor alpha (TNF-a), interleukin 6 (IL-6), interleukin 8 (IL-8), and interleukin 10 (IL-10) – correlating with a number of symptoms including sleep (J. M. Lewis et al., 2020; G. Li et al., 2022; Werner et al., 2021). Interestingly, some evidence suggests that increased sensitivity can be gained by measuring the proteins and nucleic acids contained within extracellular vesicles or exosomes (Gottshall, Agyemang, et al., 2022). Although these biomarkers are consistently elevated following TBI, directionality in these cross-sectional studies is unclear. It is uncertain if changes in these biomarkers are due to the mechanical injury to the brain itself, the ongoing neuroinflammatory response, changes in clearance of these molecules during sleep, the presence of co-occurring psychiatric illness, or a combination thereof (Devoto et al., 2017; Elliott et al., 2022; G. Li et al., 2022; Werner et al., 2021; Werner & Baumann, 2017). Research from Devoto et al demonstrated higher levels of biomarkers of inflammation in military service members with TBI sustained while deployed with comorbid PTSD (Devoto et al., 2017). A study conducted by Plog et al suggested that TBI alone decreases glymphatic clearance of these biomarker molecules from the brain to the blood, and therefore it may reduce signal-to-noise ratios, suggesting that biomarker levels may be unreliable or artificially low (Plog et al., 2015). However, a recent 12-month prospective study of over 2,000 TBI participants, day-of-injury plasma levels of GFAP and CRP were associated with their insomnia severity trajectories, shedding a cautious but optimistic light on the plasma biomarker approach (Werner et al., 2024)
Physiological biomarkers may also be promising in identifying sleep-specific changes after a TBI. For example, Mirow and colleagues examined male active duty SMs with mTBI and found that there was a 13% increase in high frequency heart rate variability in those with poor sleep quality (Mirow et al., 2016). In the age of increasingly used wearable monitors, measures that can be captured from a smartwatch, “smartring,” or other device such as HRV, SpO2, actigraphy, respiratory rate, electrodermal activity (EDA, or sweat response) have great potential to inform on sleep physiology in a longitudinal fashion.
Advanced neuroimaging has also grown to be a promising tool to detect brain microstructural alterations following mTBI. However, few studies to date have investigated the link between neuroimaging biomarkers and poor sleep quality after military-related TBI. Recently, Rojczyk and colleagues investigated diffusion magnetic resonance imaging (dMRI) data of male post-9/11 veterans with comorbid PTSD+mTBI and found that poor sleep quality was associated with abnormal white matter (WM) microstructure (Rojczyk et al., 2023). Likewise, Bottari and colleagues used dMRI to study how sleep quality relates to frontolimbic WM tracts, such as the uncinate fasciculus, in combat veterans with PTSD and mTBI. The WM integrity of the right uncinate, which is a key regulator of limbic circuitry, was associated with sleep quality, suggesting that this pathway could create vulnerability for sleep problems following combat deployment (Bottari et al., 2021). Additionally, Stocker and colleagues used [18F]-fluorodeoxyglucose positron emission tomography (FDG PET) to compare mTBI-related changes in relative cerebral metabolic rate of glucose (rCMRglc) during wakefulness, Rapid Eye Movement (REM) sleep, and non-REM (NREM) sleep (Stocker et al., 2016). The study found that veterans with a history of blast-related mTBI had significantly lower rCMRglc during wakefulness and REM sleep in the amygdala, hippocampus, thalamus, insula, uncus, visual association cortices, and midline medial frontal cortices. The findings from this study suggest that blast-related mTBI may alter neurobiological networks, thereby driving chronic sleep disturbances. Altogether, various modalities have been used to understand the relationship between neuroimaging metrics and poor sleep in military and veteran patients with a history of TBI. Yet, further studies are needed to verify their diagnostic and prognostic utility as biomarkers for sleep disturbances following TBI.
Although biomarkers of poor sleep after TBI have been established, the mechanisms for their sustained presence in chronic mTBI mostly remains uncertain. Increased longitudinal study of these biomarkers is required to better elucidate factors affecting their persistence and the fluctuations in their concentrations, including the incorporation of circadian considerations, so that the utility of biomarkers can be brought to patient care by way of improved signal-to-noise ratios in clinical trials. Some argue that many of the failed TBI clinical trials may have been successful had the appropriate biomarkers been discovered to select the appropriate subpopulation (Wang et al., 2018).
Glymphatics biomarkers in TBI and sleep
The glymphatic system is a recently described system of cerebrospinal fluid (CSF) and interstitial fluid (ISF) exchange via perivascular spaces in the brain (Plog et al., 2015). It is purported to traffic solutes across the brain, which may be important both in the clearance of metabolic waste and also physiologic signaling, associated with non-REM sleep, possibly most related to slow-wave sleep, or deep sleep (stage N3) sleep. Glymphatic activity has been linked to the AQP4 channels that densely line the astrocyte perivascular endfeet as portals for CSF to pass through from the perivascular spaces of Virchow-Robin through to the interstitium, admixing CSF with interstitial fluid (ISF). The CSF-ISF exchange occurs in a bulk-flow manner, much faster than diffusion, from high to low pressure regions, presumably carrying cellular waste away from the synapses and exiting the interstitium via unknown routes either into the venous side directly and/or the perivenous spaces that communicate with the CSF and subarachnoid spaces. This process was shown by Xie and colleagues to be inhibited by the sympathetic nervous system, as NE blockade was shown to enhance glymphatic activity (Xie et al., 2013). That CSF and waste can then exit via meningeal lymphatic networks that were discovered over the last 10 years (Louveau et al., 2017).
TBI and glymphatics
Iliff and colleagues showed in the rodent model that glymphatic activity is directly and indirectly impaired after TBI, causing an accumulation of phosphorylated tau, a biomarker and possible mediator of neuronal injury and neurodegeneration (Iliff et al., 2014). TBI was also shown to disrupt the meningeal lymphatic networks, which can have a role in accumulation of these putative toxins (Bolte et al., 2020). Neuronal injury biomarkers such as GFAP, neurofilament light and neuron-specific enolase (NSE), have been detected in human plasma in the acute and chronic setting after TBI. The levels of these biomarkers appear modulated by sleep deprivation and glymphatic drainage (Holth et al., 2019; Ju et al., 2017; Ooms et al., 2014; Xie et al., 2013). Furthermore, cross-sectional measurements of glymphatic exchange in humans show that plasma levels of several biomarkers of neurodegeneration and neuroinflammation correlate with measured glymphatic clearance, raising the possibility that peripheral blood can inform glymphatic activity, at least in part (Eide et al., 2023). Supporting research has shown that the same plasma biomarkers known to correlate with glymphatic activity also can predict sleep quality in the TBI population (Werner et al., 2021). Whether glymphatic biomarkers will inform the prognostication or management of TBI is not yet clear.
Glymphatic dysfunction after TBI could be secondary to disrupted blood-brain barrier (BBB), alterations in AQP4 localization, cerebral blood flow and neuronal activity, and further complicated by edema and inflammatory responses (Plog et al., 2015). Biomarkers of neuroinflammation and brain injury such as GFAP and UCH-L1 are elevated immediately after a TBI and are predictive of the appearance of blood on head imaging, which was previously attributed to simple BBB disruption. However, sleep deprivation after TBI in rodents has been shown to suppress or eliminate the expected serum increases of GFAP, S100 calcium binding protein B (S100B), and NSE, suggesting that a more complicated, sleep-regulated process is involved (Benveniste et al., 2017; Plog et al., 2015). Furthermore, sleep deprivation after TBI promotes increased AQP4 mislocalization (Tapp et al., 2020), suggesting that the sleep process itself is important for glymphatics maintenance and repair. Thus, after TBI, decreased glymphatic clearance of brain proteins such as GFAP or tau could theoretically result in lower plasma/serum concentrations after TBI, however this may be offset by increased production triggered by TBI and secondary inflammation and nonspecific diffusion across the BBB into the bloodstream.
It is further suggested that the glymphatic system through the AQP4 channel allows for adequate elimination of cellular wastes, which can malfunction in situations of TBI or other neurologic disorders (Benveniste et al., 2017). In AQP4 knockout mouse models, the clearance of cellular waste is decreased, showing accumulation of AB42 (Iliff et al., 2012). After TBI, there is a loss of perivascular AQP4. GFAP, S100B, tau, and NSE levels in these rodents are unexpectedly decreased in the serum after TBI (Piantino et al., 2022; Plog et al., 2015). These findings further contribute to the hypothesis that post-traumatic impairments of the glymphatic system, specifically through changes of the AQP4 channels, contribute to the decreased clearance of metabolites from the brain.
An additional mechanism of glymphatic impairment after TBI worth considering in future study is the inhibitory effect of sympathetic hyperactivity. This may explain data from Iliff et al showing that the glymphatic activity contralateral to the injury became reduced within 3 days of injury. Recent evidence suggests that mitigating sympathetic activity with alpha blockade can restore glymphatic activity after TBI (Hussain et al., 2023).
Measuring the glymphatic system and future directions
Measurement of glymphatic biomarkers is an ongoing challenge for several reasons. In order to provide clear evidence that glymphatic function is altered after TBI, definitive measures of glymphatic activity are needed. Currently this has only been achieved by invasive measures when Eide and colleagues injected gadolinium contrast to the intrathecal space, using dynamic contrast-enhanced (DCE)-MRI to track the glymphatic CSF-ISF exchange(Eide et al., 2021; Eide & Ringstad, 2015). While this method validated the existence of glymphatic activity and its link to sleep in humans, it is too invasive to routinely employ to study glymphatic activity. Noninvasive measures are under development, but more work is needed to validate them (Richmond et al., 2023).
Although the direct measurement of glymphatic activity remains challenging, there are several potential alternative approaches to glymphatic system measurement in humans that have been proposed (Piantino et al., 2022). Non-invasive and contrast free measurements of the glymphatic system such as trans-endothelial water exchange, perivascular diffusion, and MRI encephalography have been used to better understand glymphatic biology, but they have not been validated against the gold standard of DCE MRI (Hennig et al., 2021; Piantino et al., 2022). Notably, there is growing interest in measuring a proposed surrogate for glymphatic function non-invasively using DTI along the perivascular space (DTI-ALPS) (Taoka et al., 2017). The DTI-ALPS index assesses the movement of water molecules along the perivascular space through a specialized use of diffusion tensor imaging. Deficits in DTI-ALPS in patients with a history of TBI were shown compared to controls, and, interestingly, the measures correlate with the plasma biomarker, neurofilament light (Dai et al., 2023; J. H. Park et al., 2023; Butler et al., 2023). Further, DTI-ALPS has been found to be reduced in various sleep disorders, including OSA, insomnia, REM sleep disorder, narcolepsy, and restless leg syndrome (H.-J. Lee et al., 2022; Siow et al., 2022; D. A. Lee et al., 2022; Gumeler et al., 2023; K. M. Park et al., 2023). These findings are supportive of the link between DTI-ALPS and glymphatic function. Replication of this work with more investigators and cross-correlation with relevant glymphatic biomarkers will increase confidence in its validity.
Sleep and TBI in rehabilitation
Sleep impairment is common in TBI with up to 67% of patients suffering more severe TBI reporting increased sleepiness (Baumann et al., 2007; Castriotta et al., 2007), while insomnia is more commonly seen in patients with milder TBI (Wickwire et al., 2022; Wolfe et al., 2018). Disordered sleep has also been implicated in the long-term prognosis in most patients (Beaulieu-Bonneau & Morin, 2012). Initially after severe TBI, one can see no discernable sleep/wake cycle, and patients that recover appropriate timing of their sleep-wake cycle spend less time in the ICU and in the hospital overall (Wolfe et al., 2018). Approximately 82% of hospitalized patients for acquired brain injury reported having problems with sleep onset or maintenance, and 36% of these consider the hospital environment to be a causal factor (Cohen et al., 1992). However, in the inpatient setting, the TBI, itself, appears to be most related to disrupted sleep – independent of circadian rhythm and the hospital setting. This was shown in one study comparing sleep and circadian rhythms among conscious, non-ventilated moderate-to-severe TBI rehabilitation inpatients to inpatient injury controls showing TBI-related fragmentation of sleep, reduced sleep quality, but no changes in melatonin peaks or concentrations (Duclos et al., 2019). Nevertheless, environmental factors (lighting, noise, timing of nursing checks) and also medical interventions such as medications altering the normal circadian rhythm and homeostatic sleep drive can have significant impact. For example, one recent study showed a natural daylight exposure mimic had a positive benefit in severe TBI inpatients (Angerer et al., 2022).
Since rehabilitation from brain injury begins right away, it is important to consider effects of TBI on sleep from the beginning of a hospital stay. It is well-established as to the disruptive effects of poor sleep on recovery and outcomes in the ICU setting (Friese et al., 2007; Shekleton et al., 2010b). Interventions targeted at improving sleep and light exposure in the ICU setting included established “quiet hours”, minimizing alarms and cares as able and maximizing sunlight in the morning/daytime. As patients transition to the rehabilitation setting, these interventions are able to be expanded. As the medical acuity decreases for these patients, the need for frequent vital checks, wound cares, medication administration, and other medical care will also decrease. In the rehabilitation setting, it is important to manage as many possible etiologies for altered sleep as possible including pain, medications, withdrawal, environmental factors (sunlight being the most potent), and psychopathology. With the prevalence of TBI-related sleep disorders in the rehabilitation setting, a low threshold for screening and treatment - pharmacological and nonpharmacological – is recommended. Given the control that can be exerted over the environment in the inpatient rehabilitation setting, it may be more important to affect these non-pharmacological efforts prior to implementing pharmacological intervention. One well-established tenet of inpatient TBI rehabilitation is to optimize the sleep-wake and circadian cycle for patients recovering from TBI and standardize the environment in order to do so. Though the goal may be to mimic a “normal” sleep-wake cycle, consideration should be given to patients who have traditionally not followed what would be considered a normal sleep-wake schedule. Patients with atypical sleep schedules may benefit from modified interventions to more closely represent their home sleep wake cycle, and some clinicians use this practice.
Given that the focus of rehabilitation is the reduction in disability, it is also notable that a sleep impairment of 24 hours within a 10-day period resulted in lower performance on ADL measures, and patients that had increased actigraphy levels at night time resulted in higher levels of disability ratings from occupational therapy. Decresed total sleep time as measured by observational sleep logs was also negatively associated with increased neurobehavioral impairment (Maneyapanda et al., 2018). Rehabilitation staff surveyed regarding their impression of the nature and impact of sleep and arousal disturbance on rehabilitation showed 47.4% of participants had some sign of disturbed sleep or arousal and 65.6% of those cases felt that sleep and arousal issues disrupted rehabilitation interventions and daily activities (Worthington & Melia, 2006).
Management strategies for sleep disorders in TBI
Clinical practice guidelines exist for treating sleep disorders, which can be applied to patients with TBI, however none of them are developed with TBI patients in mind. Therefore, the TBI Center of Excellence, which was established within the Defense Health Agency to “unify a system of TBI health care,” convened a panel of experts in 2020 to compile clinical recommendations geared towards for TBI SWD management, focusing on the most common diagnoses of insufficient sleep syndrome, insomnia, obstructive sleep apnea, parasomnias, and circadian rhythm sleep disorders available online (Defense Health Agency, 2020).
Insomnia
A number of studies indicate that post-TBI patients suffer from increased insomnia compared to the general population. A meta-analysis found that 50% of individuals post-TBI experienced some form of disordered sleep, with 25% to 29% being formally diagnosed with sleep disorders, including insomnia (Paredes et al., 2021). A recent study used latent class models to identify five trajectories of insomnia over 12 months after TBI, using data from the prospective TRACK-TBI study. It found that the majority of participants had ongoing insomnia after 12 months, with greater risk associated with substance use and psychiatric comorbidities, and prior sleep disorders (Wickwire et al., 2022).
First-line therapy for insomnia is anchored in behavioral strategies, including cognitive behavioral therapy for insomnia (CBT-i), when feasible face-to-face (virtual or in person), which has been shown to be effective in TBI related insomnia(Ludwig et al., 2020; Ouellet & Morin, 2007). However, many hospitals do not have access to CBT-i or specific expertise for the application of CBT-i to military and veteran populations. CBT-i requires close follow up, and logistical considerations can be limiting. Moreover, many military veterans with combat related TBI and insomnia suffer from short sleep duration, which may represent a phenotype of insomnia with heightened arousal levels that may be less responsive CBT-i. The efficacy of CBT-i in short sleepers is unclear (Bastien et al., 2017). When providers are not available, self-paced CBT-i can also be employed online with free websites and application made available by the VA such as “Insomnia Coach” (Kuhn et al., 2022).
There are several options for the pharmacologic management of post-TBI insomnia. Comorbid pain in TBI patients has led to the frequent use of nightly gabapentin to also treat insomnia. Gabapentin has been shown to enhance deep sleep (Foldvary-Schaefer et al., 2002), but evidence for insomnia in the TBI population is lacking. Clinicians should use caution, because it also has been shown to cause obstructive sleep apnea by unclear mechanisms (Piovezan et al., 2017). Sedating antidepressants such as trazodone and quetiapine are frequently employed, but evidence is also lacking for these in the TBI population. One prospective observational cohort study evaluated psychotropic medication administration patterns for the inpatient rehabilitation after TBI, citing that hypnotic agents were prescribed for 30% of the patients (Hammond et al., 2015). Among the hypnotic agents, the most frequently prescribed sleep-inducing drugs were nonbenzodiazepine GABA-A agonists, with zolpidem being the top-prescribed drug, followed by eszopiclone and zaleplon. The nonbenzodiazepine GABA-A agonists can be used for both sleep-onset and sleep-maintenance insomnia in the general population, with minimal residual sedation in the following morning.
Melatonin has been another intervention of interest. In 2018, Grima et al. presented a randomized double-blind, placebo-controlled crossover study that compared treatment with melatonin and placebo in outpatients with mild to severe TBI reporting sleep disturbances post-injury. The study found that melatonin improved subjective sleep quality, actigraphic sleep efficiency, reduced self-reported anxiety symptomatology and fatigue, and enhanced self-perceived vitality and mental functioning in patients with TBI and insomnia (N. A. Grima et al., 2018). Although not recommended by the American Association of Sleep Medicine for the general insomnia population, melatonin was favored in a recent meta-analysis across 9 clinical trials in the TBI population (Cassimatis et al., 2023).
Ramelteon is a melatonin receptor agonist, and a pilot study performed in 2015 found that compared to a placebo there was a significant increase in total sleep time with a small increase in sleep latency when it was taken nightly for three weeks (Kemp et al., 2004).
Hypersomnias
CSF orexin levels were low in 95% of patients within the first 4 days of moderate to severe TBI (Baumann et al., 2005), and a mouse model indicated these deficits was associated with an inability to maintain wakefulness (Lim et al., 2013). Leng and colleagues followed diagnosis codes after TBI in 200,000 veterans, identifying an increased risk for narcolepsy in the TBI population (Leng et al., 2021). In managing narcolepsy following a TBI, the approach is similar to that for non-TBI patients. It involves three key elements that are often employed prior to using stimulants: improving sleep habits, using caffeine strategically, and scheduling naps. When dealing with narcolepsy that does not respond well to these measures, “wake-promoting” and stimulant medications can be considered, which are often monoamine reuptake inhibitors. The primary choice for wake-promoting agents is modafinil as it has fewer cardiovascular side effects and less abuse potential compared to stimulants. Treatment of modafinil in TBI-related sleep disorders has shown mixed results. Patients with TBI treated with Modafinil of 100 mg to 200 mg every morning reported improvement in excessive sleepiness scale (ESS) and maintenance of wakefulness test scores compared to placebo, although it did not improve posttraumatic fatigue (Kaiser et al., 2010). However, another trial comparing patients taking 400 mg Modafinil to placebo found an improvement of the ESS at week 4 but not at week 10 (Jha et al., 2008). Similarly, treatment with armodafinil showed significant improvement in sleep latency (Menn et al., 2014).
Clinical practice guidelines from the American Academy of Sleep Medicine recommend use of pitolisant and solriamfetol to maintain wakefulness, as well as sodium oxybate to improve sleep consolidation, for patients with narcolepsy. However, it is uncertain how this may apply to TBI induced hypersomnia and important to realize that many of these medications cannot be prescribed unless the patient meets formal diagnostic criteria for narcolepsy (due to FDA indications and/or insurance coverage limitations). Focused trials in the TBI population for hypersomnia management are needed.
Post traumatic stress disorder
Particularly amongst patients with PTSD, those with TBI were more likely to have lower verbal memory function, and this portended a weaker therapeutic response to cognitive behavioral therapy as a sleep intervention (Scott et al., 2017). Patients with mTBI and PTSD reported immediate improvement in the frequency and intensity of headaches, nightmares, and sleep disturbances with the use of a removable mandibular neuroprosthesis/splint, presumably addressing bruxism, and effects did not diminish over time (Moeller et al., 2014). These results were also found in treatment of patients of PTSD without TBI. The management of PTSD involves a combination of pharmacotherapy and psychotherapies. Trauma-focused psychotherapy is the preferred initial treatment. In the realm of pharmacotherapies for the general population, options include SSRI/SNRIs, with sertraline and paroxetine having an FDA indication for PTSD. Extensive clinical experience and limited randomized clinical trial data show that clonidine and prazosin can be employed to reduce trauma-related nightmares in the TBI and PTSD population (Mysliwiec et al., 2022; Raskind et al., 2007). These studies and our current clinical practice lack the use of reliable objective measures of the target, noradrenergic activity. In the absence of useful biomarkers of noradrenergic/sympathetic activity to select participants and monitor responses to therapy, clinical trials will be at the risk of failing due to a poor signal-to-noise ratio – rather than failed efficacy. One possible example is the failure of the largest prazosin trial to date, where the population characteristics (e.g., average blood pressure, alcohol or substance use) suggested that it was a different population than that of previously successful smaller trials (Raskind et al., 2018). Most clinicians who use prazosin would argue it is an effective intervention, but the right patient must be chosen. Wearable technology that uses haptic vibrational feedback when heartrates spike during sleep were shown to have some promising results in nightmare management, but more data is needed – particularly in the TBI population (Davenport & Werner, 2023).
Obstructive sleep apnea
Sleep disordered breathing is significantly more common following TBI compared to survivors of other types of non-TBI combat trauma, and this risk persists long term (Haynes et al., 2022). OSA is associated with more severe PTSD following TBI, and these patients may struggle with worse CPAP adherence, have more severe sleep related symptoms, and lower response rates to treatment, all of which demand preventative and long-term management strategies (Lettieri et al., 2016). OSA and PTSD are common in the TBI population; one study found over 75% of participants with acute TBI had OSA, and the presence of OSA was associated with slower cognition, memory, and executive functioning (Steward et al., 2022). Longer duration of untreated OSA in participants with a history of hospitalization for TBI had an adverse impact on verbal memory (Silva et al., 2022). The management of OSA following TBI closely mirrors the approach used for sleep apnea in the general population, including the use of positive airway pressure. Other options include mandibular advancement devices, removal of offending medications (e.g., gabapentin), surgical interventions, hypoglossal nerve stimulation devices, and, in rare occasions, positional therapy can be effective.
Because patients with OSA due to TBI and PTSD represent a vulnerable population and may suffer from poor CPAP adherence and comorbid insomnia, we recommend multidisciplinary interventions targeting educational, behavioral, and supportive interventions to improve PAP adherence. Recent changes in the literature include more specificity for weight loss guidance and advances in surgical therapies. For most patients with obesity, it is important to counsel patients that weight loss is a valuable adjunct treatment for OSA, but that significant weight loss, between 10–25% of body weight, is required for efficacy. Expert consultation with obesity medicine specialists to consider bariatric surgery, medically supervised diets, and weight loss medications using a personalized approach may be warranted (Chang et al., 2023; St-Onge & Tasali, 2021).
Surgical intervention for OSA is an alternative to CPAP for some patients. In the past, uvulopalatopharyngoplasty was the preferred approach, but advances in surgery have led to a more individualized approach, based on recognition that the mechanism of OSA and level of airway collapse differs between patients. Surgery is divided into anatomic treatments and neurostimulatory. Anatomic surgeries include maxillomandibular advancement, combinations of surgeries involving uvulopalatopharyngoplasty and palatal interventions, sometimes as staged surgeries. Neurostimulatory treatment for OSA is performed using the hypoglossal nerve stimulator, which has shown to demonstrate improvement in severity of obstructive sleep apnea and daytime sleepiness (Kent et al.,2019).
Circadian rhythm disorder
It has been demonstrated that TBI induces abnormalities in gene expression and melatonin production, affecting circadian rhythm, however the mechanisms and indications of these changes are uncertain (Zhanfeng et al., 2019). Large-scale TBI studies of circadian function are lacking. Melatonin remains the most studied treatment for CRD in the TBI population, and there is strong evidence for subjective and objective sleep quality improvement (Cassimatis et al., 2023), but the specific mechanisms of this appear to be lacking. A recent metanalysis demonstrated that melatonin had a positive effect on multiple neuropsychiatric outcomes, but this was not limited to only circadian rhythm disorders (Barlow et al., 2019). Daily morning blue light therapy was also associated with improved daytime sleepiness, as well as increased gray matter volume and functional connectivity within networks related to sleep regulation and daytime cognition (Raikes et al., 2021). Although melatonin and light therapy demonstrate improvement in circadian disruption after TBI, studies elucidating the specific mechanism of improvement or isolating improvement specifically in circadian rhythm disorders appear to be lacking and can serve as a focus of further clinical and benchtop research.
Future directions in TBI SWD care
As the U.S. DoD and VA grapples with TBI being one of the most recurrent injuries, there is an unequivocal need to address the associated SWD that have become prevalent in these populations. The persistent nature of these sleep disturbances, such as insomnia, hypersomnia, and circadian rhythm abnormalities, have been shown to have a lasting effect on functional outcomes and overall rehabilitation processes (McKeon et al., 2019).
It is critical that we recognize and address the distinct sleep disturbances associated with TBI and PTSD. Future research should prioritize comparative studies that aim to tease apart the prevalence rates and severity of specific sleep disruptions in TBI versus PTSD populations (Aoun et al., 2019), given the divergent pathophysiological underpinnings in each condition. Advanced neuroimaging and biomarker analyses could be particularly instructive in differentiating the structural and biochemical changes unique to each condition, potentially leading to targeted therapeutic interventions (Gilbert et al., 2015; Kaplan et al., 2018; McKeon et al., 2019).
Exploring the future directions of biomarkers for TBI SWD warrants multifaceted approaches, encompassing both molecular, physiological (electrophysiological, accelerometry, and optics based – as available in many commercial wearables) and neuroimaging techniques. While proteins like tau, TNF-a, and IL-6 are frequently elevated in cases with sleep difficulties in chronic mild TBI, their relation to sleep architecture are yet to be fully elucidated (Devoto et al., 2017; Elliott et al., 2022; G. Li et al., 2022; Werner et al., 2021). Promising physiological markers from wearables such as accelerometry, heart rate variability, EDA (similar to galvanic skin response) and even wearable EEG can be used to identify biomarkers of sleep dysfunction in the home setting, allowing for longitudinal data. Glymphatic activity may prove to be of importance for sleep quality and it can potentially be measured noninvasively with advanced neuroimaging metrics like diffusion magnetic resonance imaging (dMRI) and functional MRI, opening new avenues to understand sleep disturbances post-TBI (Bottari et al., 2021; Fultz et al., 2019; Mirow et al., 2016; Picchioni et al., 2022; Rojczyk et al., 2023). However challenges persist in bridging animal model data to human clinical applications, challenging our attempts to understand the multi-directional relationships between TBI, sleep, and glymphatic function (Plog et al., 2015).
Conclusion
Ultimately, a deeper understanding and management of TBI-related sleep disturbances in military and veteran populations must progress significantly to improve the care and outcomes for these individuals. By addressing these key areas, improved diagnostic, prognostic, and therapeutic approaches for TBI-related sleep disorders can be introduced, thereby enhancing the overall quality of life and health outcomes for military and veteran populations.
Conflict of interest
None to report.
