- 1Medicortex Finland Oyj, Turku, Finland
- 2Department of Neurosurgery, Houston Methodist Hospital, Houston, TX, United States
- 3Bezalel Academy of Arts and Design, Jerusalem, Israel
Since the discovery of the glymphatic system in 2012, research on this brain-wide fluid exchange pathway has focused on understanding its role in different neurological diseases. Mild traumatic brain injury (mTBI) is a prevalent, yet often undiagnosed, condition that increases the risk of developing debilitating neurodegenerative diseases. mTBI may lead to impaired glymphatic system function and, therefore, accumulation of metabolic waste in the brain. In this review, we summarize 24 studies (10 rodent, 13 human, 1 both) published during 2013–2025, reporting post-mTBI changes in the glymphatic system. According to pre-clinical models, potential post-mTBI drivers of glymphatic dysfunction include depolarization of aquaporin 4 water channels and sleep deprivation. In studies on humans, evidence is contradictory; some studies show reduced post-mTBI glymphatic activity, while others report increased activity. However, these studies used different patient populations, which were likely exposed to different mTBI types and post-injury time frames. Furthermore, studies on humans used non-invasive imaging techniques, which only indirectly measure glymphatic activity. Taken together, these inconsistencies point to major gaps in the field, highlighting the need for standardized injury classification and post-injury time frames, and more direct measurements of glymphatic activity in humans. Notably, sleep deprivation, post-concussive symptoms, and cognitive impairment have often been linked to post-injury glymphatic dysfunction. Nevertheless, to better understand mTBI implications on glymphatic system functioning, further research is needed. Such research could help develop novel diagnostics or treatment strategies for mTBI and potentially mitigate the long-term risks of developing neurodegenerative disorders.
1 Introduction
The glymphatic system is a brain-wide fluid transport pathway discovered in 2012 (Iliff et al., 2012). This pathway facilitates the exchange of fluid and solutes between cerebrospinal fluid (CSF) and interstitial fluid (ISF), eventually draining into the meningeal and cervical lymphatic system (Bohr et al., 2022). The glymphatic system is crucial in clearing waste from the brain, but it is also involved in the delivery of nutrients and active substances to the brain (Astara et al., 2023; Ding et al., 2023).
In the glymphatic pathway, a combination of forces, such as arterial pulsation and respiration, drives CSF influx from the subarachnoid space into periarterial spaces surrounding penetrating arteries (Figure 1) (Ng Kee Kwong et al., 2020; Bohr et al., 2022). These periarterial spaces are lined with astrocytic end-feet that highly express aquaporin 4 (AQP-4) water channels, which facilitate CSF entry into the interstitial space (Ng Kee Kwong et al., 2020). In the brain interstitium, through the combined effects of diffusion and advection, CSF mixes with ISF (Bohr et al., 2022). This mixture of fluids, carrying solutes, drains from the interstitium into perivenous spaces along cerebral veins (Ng Kee Kwong et al., 2020; Bohr et al., 2022). From there, it exits via pathways along olfactory nerves, cranial and spinal nerves, meningeal lymphatic vessels, and arachnoid granulations (Rasmussen et al., 2018; Ding et al., 2023). Ultimately, this fluid drains to cervical lymph nodes (CLNs), and through subclavian veins, returns to general circulation (Bohr et al., 2022; Ding et al., 2023).
Figure 1. The glymphatic system in the brain. From the subarachnoid space, cerebrospinal fluid (CSF) enters periarterial spaces along penetrating arteries and further into brain parenchyma through aquaporin-4 (AQP-4) channels, which are highly expressed in astrocytic end-feet surrounding brain vasculature. In the brain parenchyma, CSF mixes with interstitial fluid (ISF). This mixture, carrying metabolic waste, flows through the brain parenchyma due to convection. Eventually, this fluid drains from the interstitium into perivenous spaces along cerebral veins. From there, it exits through pathways along olfactory nerves, cranial and spinal nerves, meningeal lymphatic vessels, and arachnoid granulations. This fluid ultimately drains to cervical lymph nodes (CLNs) and reenters circulation via subclavian veins.
The glymphatic system is 90% more active during sleep, suggesting state-dependent clearance of metabolic waste products from the brain (Christensen et al., 2020). Sleep is associated with a 60% increase in interstitial space in the brain, leading to elevated CSF-ISF exchange, and consequently, improved clearance of β-amyloid from the brain (Xie et al., 2013). Thus, sleep disturbances related to aging and various diseases can lead to glymphatic dysfunction and accumulation of metabolic waste (Astara et al., 2023). In fact, dysfunction of the glymphatic system has been implicated in several conditions, including sleep deprivation, aging, Alzheimer’s disease (AD), and traumatic brain injury (TBI).
TBI is a global health problem, affecting nearly 70 million people each year (Dewan et al., 2019). Waste clearance failure may contribute to TBI pathophysiology, which involves, following cellular damage due to an impact to the head, release of harmful molecules to the brain interstitium (Kvist et al., 2023; Butler et al., 2024). Current diagnostics lack sensitivity to detect mild TBI (mTBI, also known as concussion), which constitutes over 90% of all TBI cases (Maas et al., 2022). Undetected mTBI increases the risk of repetitive brain injuries which, in turn, may lead to neurodegenerative diseases, such as AD or chronic traumatic encephalopathy (CTE) (McKee et al., 2023).
In this mini review, we summarize the literature on the role of the glymphatic system in mTBI. Targeting glymphatic function may provide a new mTBI diagnostic or treatment method.
2 Pre-clinical mTBI models: impaired glymphatic flow
In rodent models of TBI, glymphatic pathway dysfunction is evidenced by a 60% reduction in perivascular CSF influx (Iliff et al., 2014). Using contrast-enhanced magnetic resonance imaging (CE-MRI), one study demonstrated mTBI-induced dysfunction in both CSF influx and efflux (Li et al., 2020). Glymphatic dysfunction in post-injury rodents emerges as early as 2 h, with the effect persisting at least up to 1 month (Iliff et al., 2014; Bolte et al., 2020).
Rodent models have also served to investigate potential mechanisms underlying post-TBI glymphatic dysfunction. In mTBI and moderate TBI models, the perivascular polarization of AQP-4 is disrupted at the end-feet of reactive astrocytes (Ren et al., 2013; Eisenbaum et al., 2024). Furthermore, the genetic knock-out of AQP-4 aggravates post-TBI glymphatic dysfunction, leading to an accumulation of tau protein, S100β, glial fibrillary acidic protein, and neuron-specific enolase. This aggregation of proteins seems to promote, in the post-injury brain, the development of neurofibrillary pathology, neuroinflammation, and neurodegeneration (Iliff et al., 2014; Plog et al., 2015).
Similar to diminished AQP-4 polarization, post-TBI sleep deprivation can reduce glymphatic flow (Plog et al., 2015). In a murine model of repetitive blast mTBI, researchers observed chronic impairment of glymphatic function as well as emergence of sleep–wake disruption. The observed sleep disturbances resembled daytime sleepiness and nighttime insomnia typical in post-TBI humans (Braun et al., 2024).
Some findings point towards region-specific post-mTBI changes in glymphatic activity. For example, one study reported, in their repetitive mTBI model, increased glymphatic influx but decreased efflux. In addition, these changes were region-specific, only affecting limbic structures and the olfactory bulb (Christensen et al., 2020). Another study also highlighted region-specific differences in glymphatic flow 24 h after repetitive mTBI. Using near-infrared (NIR) imaging, those researchers observed significantly slower flow to the anterior regions and faster flow to the posterior regions of the brain. Interestingly, AQP-4 expression was decreased in regions of higher NIR dye intensity, suggesting that CSF accumulates in the perivascular spaces, leading to increased perivascular volume. Moreover, they found reduced glymphatic efflux to the CLNs, indicating impaired waste clearance in the brain and blood accumulation at the CLNs, implying the role of the glymphatic system in removing mTBI-related extravascular blood (Michalaki et al., 2025). While Michalaki et al. (2025) proposed that reduced AQP-4 expression and polarization in posterior regions may lead to CSF accumulation and impaired clearance, Christensen et al. (2020) did not discuss upstream mechanisms for the region-specific changes observed in the glymphatic activity. Therefore, there is a need for further mechanistic studies to determine why certain brain regions are more vulnerable to changes in glymphatic flow after mTBI.
3 Post-mTBI alterations in human glymphatic function
Clinical studies of the glymphatic system and mTBI utilize non-invasive imaging techniques that provide an indirect measure of glymphatic function (Table 1). The most commonly used techniques are structural MRI-based enlarged perivascular spaces (ePVS) and diffusion tensor imaging along perivascular spaces (DTI-ALPS) (Zhuo et al., 2024). The DTI-ALPS technique is discussed in detail by Taoka et al. (2017, 2024), who proposed the method for evaluating human glymphatic system activity. The ePVS technique is reviewed by Ramirez et al. (2016) and Sepehrband et al. (2019). The ePVS evaluates the number and volume of visible PVS in the region of interest on T2-weighted MRI images with or without T1-weighted MRI (Sepehrband et al., 2019; Zhuo et al., 2024). Increased ePVS burden (number and volume) indicates impaired glymphatic function (Yamamoto et al., 2024; Zhuo et al., 2024). The DTI-ALPS index, derived from diffusion tensor imaging (DTI), assesses the diffusivity of the perivascular space along the deep medullary veins at the level of the lateral ventricular bodies (Morita et al., 2023; Zhuo et al., 2024). A lower DTI-ALPS index signifies impaired glymphatic function (Zhuo et al., 2024).
Notably, many studies on mTBI and the glymphatic system are conducted on military personnel or contact sports athletes. Both groups of individuals are frequently exposed to head impacts, while military personnel are also exposed to blasts that can cause brain injuries. Repetitive head injuries, frequent in these groups, are a major health concern since they increase the risk of developing neurodegenerative diseases, including AD and CTE (McKee et al., 2023).
In studies on U.S. military veterans and soldiers, the PVS burden was positively correlated with the number of mTBIs sustained (Piantino et al., 2021; Braun et al., 2024; Powell et al., 2024). Poor sleep modulated this relationship by increasing the effect of each mTBI on PVS volume (Piantino et al., 2021; Braun et al., 2024). Furthermore, the elevated PVS burden was linked to increased severity of post-concussive symptoms (PCSs) (Piantino et al., 2021). Similarly, in a study with former American football players, exposure to repetitive head impacts was associated with larger PVS volume. Moreover, the increased PVS volume was linked to impaired cognitive and executive functioning (Jung et al., 2024). In one study on PVS burden, between veterans with blast mTBI history and those without a history of brain injuries, no differences emerged. However, that study identified a positive correlation between PVS burden and concentrations of several proinflammatory biomarkers from CSF and plasma in only blast-mTBI patients (Yamamoto et al., 2024).
Some studies have shown that PVS burden is acutely increased following mTBI (7 days after injury) and is linked to an increased number of PCSs (14 days after injury) (Garcia et al., 2024; Zhuo et al., 2024). Conversely, one study found that a history of repetitive head impacts is linked to decreased ePVS number at the acute post-injury stage (Garcia et al., 2024).
Studies that used the DTI-ALPS index as a measure of glymphatic activity have also yielded mixed results. Some have reported lower post-injury DTI-ALPS indices, supporting the hypothesis of glymphatic dysfunction in mTBI (Wang et al., 2024; Yang et al., 2024). In those studies, the lower DTI-ALPS index correlates with cognitive impairment (CI), with white matter damage potentially modulating the effect (Morita et al., 2023; Wang et al., 2024; Yang et al., 2024). In one study, compared to those aged 66 and above, who played non-contact sports in their youth, those that played contact sports exhibited CI and lower DTI-ALPS indices (Morita et al., 2023). The long-lasting effects of contact sports on glymphatic function were further highlighted by a recent study. Therein, former professional athletes with a history of long-term exposure to repetitive mTBI displayed CI with lower DTI-ALPS indices (Miyata et al., 2025).
In contrast, other studies have shown higher post-mTBI DTI-ALPS indices (Dai et al., 2023; Huang et al., 2024). In a retrospective study, both MRI-positive (signs of mTBI) and MRI-negative (no signs of mTBI) patients with mTBI had elevated DTI-ALPS indices, with the elevation being more pronounced at younger ages (Dai et al., 2023). Similarly, compared to healthy individuals engaging in regular exercise, young boxers with sports-related concussions (SRCs) showed higher DTI-ALPS indices. In this subpopulation, a higher DTI-ALPS index correlated with white matter microstructural damage and CI (Huang et al., 2024). A longitudinal study reported that DTI-ALPS indices increase from the acute phase (14 days post-injury) to the chronic phase (6–12 months post-injury), correlating with sleep improvement (Zhuo et al., 2024).
A non-invasive MRI technique, arterial spin labeling (ASL), uses arterial blood water protons as an endogenous contrast agent to enable the evaluation of cerebral perfusion (Joseph, 2021; Kamagata et al., 2024). If images are acquired at long time point intervals, 3D ASL can capture the residual signal from the labeled protons within ISF. This way, 3D ASL can help measure glymphatic activity. Reduced clearance rates of these protons indicate impaired glymphatic outflow (Joseph, 2021). A recent study demonstrated the utility of 3D ASL in measuring human glymphatic activity. In that study, ASL MRI showed reduced glymphatic clearance rates (GCRs) in student athletes within 7 days of mTBI. Furthermore, once those athletes were clinically cleared to return to their sport, GCRs significantly improved (Joseph et al., 2024).
In summary, human studies have reported both increases and decreases in glymphatic function following mTBI. Taken together, these discordant results likely originate from fundamental differences between studies, including patient populations, types and timing of injury, and imaging methodologies. Some authors have proposed mechanistic explanations, suggesting that reduced post-mTBI glymphatic activity may result from loss of AQP-4 polarization, whereas increased activity could represent a compensatory response to facilitate waste removal. These possibilities are examined in greater detail in the following Discussion.
4 Discussion
In this review, we presented an overview of preclinical and clinical studies that examined post-mTBI glymphatic system function. These findings have discrepancies, which may result from differences in models, study populations, and methods. While some studies reported an overall decrease in glymphatic influx (Iliff et al., 2014; Li et al., 2020), two studies, which used mTBI models, observed a region-specific increase in glymphatic influx and decrease in efflux (Christensen et al., 2020; Michalaki et al., 2025). These studies argued that their findings of region-specific changes also reflect an overall dysfunction in the glymphatic system (Christensen et al., 2020; Michalaki et al., 2025). One of these studies also found a region-specific decrease in glymphatic influx, further pointing towards glymphatic dysfunction (Michalaki et al., 2025). However, the other study reported no change in influx nor efflux in some regions. Those researchers argued that, since mTBI is associated with a build-up of neurotoxic waste, a clearance rate comparable to that of a healthy animal is insufficient, yet again supporting the theory of glymphatic dysfunction (Christensen et al., 2020).
Clinical studies reporting decreased post-mTBI glymphatic function have suggested that AQP-4 polarization loss observed in mTBI animal models could also occur in humans (Piantino et al., 2021; Jung et al., 2024; Yang et al., 2024). According to this theory, AQP-4 polarization loss can impair CSF transport from the PVS into the interstitial space, leading to chronic PVS dilation. As a result, glymphatic flow becomes disrupted, promoting waste accumulation in the brain parenchyma (Piantino et al., 2021). However, to date, no direct evidence exists of AQP-4 polarization loss in humans. In fact, a recent study examining post-mortem cortical tissues from veterans exposed to blast TBI observed no AQP-4 polarization changes (Braun et al., 2024).
Those studies which found enhanced post-injury glymphatic function have hypothesized that this enhancement may reflect a compensatory mechanism to reduce secondary damage (Dai et al., 2023; Garcia et al., 2024; Huang et al., 2024). Dai et al. (2023) argued that increased glymphatic function in both MRI-positive and MRI-negative patients with mTBI might reflect a compensatory mechanism that, by facilitating metabolic waste clearance, decreases secondary degeneration. Furthermore, this compensatory enhancement of glymphatic function might be related to increased post-injury AQP-4 expression (Dai et al., 2023; Huang et al., 2024). Some mTBI model studies have observed increased AQP-4 expression although its implications for glymphatic function remain elusive (Higashida et al., 2011; Tomura et al., 2011). One study not only found increased AQP-4 expression in their repetitive blast mTBI model but replicated the finding in post-mortem cortical tissues from veterans exposed to blast TBI. However, increased AQP-4 expression was associated with delayed glymphatic dysfunction, contradicting the theory of a compensatory mechanism (Braun et al., 2024).
Contradictory findings in studies on mTBI and glymphatic function may also stem from study population variability. Participants in these studies were from diverse backgrounds, including current and former non-professional or professional athletes, veterans, soldiers, and the general population. Therefore, they are also likely to be exposed to different mTBI types: SRC, blast mTBI, repetitive mTBI, and non-specified mTBI. Each mTBI type may involve unique pathophysiological changes, including those affecting glymphatic function. Moreover, every brain injury is unique, further complicating data interpretation.
Another potential source of variability in studies on post-mTBI glymphatic function is time elapsed from injury to brain imaging. In some studies, imaging was performed relatively acutely, during 1 to 2 weeks after injury, whereas in other studies, months or even years may have passed since injury. In many cases, time elapsed from injury to imaging is unreported, and imaging findings are correlated with a history of a single or multiple mTBI. Furthermore, some studies are retrospective, using imaging data collected in the past.
Importantly, both ePVS and DTI-ALPS are indirect measures of glymphatic function. While intrathecal gadolinium-enhanced MRI remains the gold standard for directly assessing glymphatic activity in humans, its invasiveness limits clinical applicability. Consequently, non-invasive techniques are gaining prominence. Notably, Zhang et al. (2021) found a significant correlation between the DTI-ALPS index and glymphatic clearance as measured with intrathecal gadolinium (Zhang et al., 2021). Novel non-invasive methods, such as ASL MRI, are being developed; ASL offers the advantage of shorter scan times (under 20 min) compared to DTI-ALPS (up to 2 h) (Joseph et al., 2024). For further discussion of emerging imaging techniques, see reviews by Kamagata et al. (2024) and Botta et al. (2025).
Despite conflicting findings on post-mTBI glymphatic function, several correlating factors are consistently reported. One of these factors is sleep deprivation, which worsens post-mTBI glymphatic impairment. Moreover, from the acute to chronic post-injury stage, glymphatic function increases, correlating with sleep improvement (Zhuo et al., 2024). However, mTBI patients frequently experience sleep disruption in acute care settings due to regular neurological assessments and sedative use (Plog et al., 2015). Therefore, to improve glymphatic function and post-mTBI patient outcomes, targeting sleep could provide a treatment strategy (Braun et al., 2024).
Furthermore, post-mTBI glymphatic dysfunction is associated with CI and PCSs. Patients with impaired glymphatic function after injury tend to experience more severe and frequent PCSs. Among these, balance and memory problems are the most prominent (Piantino et al., 2021; Zhuo et al., 2024). Impaired performance in cognitive and executive function tests is often linked to post-mTBI glymphatic dysfunction. This CI may result from white matter damage, which correlates with post-injury glymphatic dysfunction. According to this theory, post-mTBI glymphatic dysfunction leads to protein accumulation, which in turn, results in neuronal damage, ultimately diminishing cognitive function (Huang et al., 2024; Wang et al., 2024; Yang et al., 2024).
5 Conclusion
In conclusion, mTBI appears to alter glymphatic system activity; however, findings remain inconsistent, with reports of both increased and decreased activity. These discrepancies likely reflect methodological limitations and variability across studies. To address this, future research should prioritize the standardization of imaging windows and injury classification to enhance comparability across investigations. Additionally, the development of multimodal imaging pipelines may provide more comprehensive insights into glymphatic function post-injury. Establishing longitudinal patient registries and dedicated glymphatic imaging databases will support investigation of glymphatic changes over the course of a mTBI. Advancing our understanding of post-mTBI glymphatic dynamics through such standardized and integrated approaches may inform the development of novel diagnostic tools and therapeutic strategies, ultimately improving patient outcomes.
Author contributions
PM: Conceptualization, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing. BU: Writing – review & editing. IB-C: Writing – review & editing. EG: Writing – review & editing. ZL: Visualization, Writing – review & editing. LL-V: Writing – review & editing. LV: Supervision, Writing – review & editing. AH: Supervision, Writing – review & editing.
Funding
The author(s) declare that no financial support was received for the research and/or publication of this article.
Acknowledgments
The authors would like to thank Dr. Gerald Netto from the University of Eastern Finland for proofreading.
Conflict of interest
PM, BU, IB-C, LL-V, LV, and AH were employed by Medicortex Finland Oyj.
The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.
Generative AI statement
The authors declare that no Gen AI was used in the creation of this manuscript.
Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
Astara, K., Pournara, C., de Natale, E. R., Wilson, H., Vavougios, G. D., Lappas, A. S., et al. (2023). A novel conceptual framework for the functionality of the glymphatic system. J. Neurophysiol. 129, 1228–1236. doi: 10.1152/jn.00360.2022
Bohr, T., Hjorth, P. G., Holst, S. C., Hrabětová, S., Kiviniemi, V., Lilius, T., et al. (2022). The glymphatic system: current understanding and modeling. iScience 25:104987. doi: 10.1016/j.isci.2022.104987
Bolte, A. C., Dutta, A. B., Hurt, M. E., Smirnov, I., Kovacs, M. A., McKee, C. A., et al. (2020). Meningeal lymphatic dysfunction exacerbates traumatic brain injury pathogenesis. Nat. Commun. 11:4524. doi: 10.1038/s41467-020-18113-4
Botta, D., Hutuca, I., Ghoul, E. E., Sveikata, L., Assal, F., Lövblad, K.-O., et al. (2025). Emerging non-invasive MRI techniques for glymphatic system assessment in neurodegenerative disease. J. Neuroradiol. 52:101322. doi: 10.1016/j.neurad.2025.101322
Braun, M., Sevao, M., Keil, S. A., Gino, E., Wang, M. X., Lee, J., et al. (2024). Macroscopic changes in aquaporin-4 underlie blast traumatic brain injury-related impairment in glymphatic function. Brain 147, 2214–2229. doi: 10.1093/brain/awae065
Butler, T., Schubert, J., Karakatsanis, N. A., Hugh Wang, X., Xi, K., Kang, Y., et al. (2024). Brain fluid clearance after traumatic brain injury measured using dynamic positron emission tomography. Neurotrauma Rep. 5, 359–366. doi: 10.1089/neur.2024.0010
Christensen, J., Wright, D. K., Yamakawa, G. R., Shultz, S. R., and Mychasiuk, R. (2020). Repetitive mild traumatic brain injury alters Glymphatic clearance rates in limbic structures of adolescent female rats. Sci. Rep. 10:6254. doi: 10.1038/s41598-020-63022-7
Dai, Z., Yang, Z., Li, Z., Li, M., Sun, H., Zhuang, Z., et al. (2023). Increased glymphatic system activity in patients with mild traumatic brain injury. Front. Neurol. 14:1148878. doi: 10.3389/fneur.2023.1148878
Dewan, M. C., Rattani, A., Gupta, S., Baticulon, R. E., Hung, Y.-C., Punchak, M., et al. (2019). Estimating the global incidence of traumatic brain injury. J. Neurosurg. 130, 1080–1097. doi: 10.3171/2017.10.JNS17352
Ding, Z., Fan, X., Zhang, Y., Yao, M., Wang, G., Dong, Y., et al. (2023). The glymphatic system: a new perspective on brain diseases. Front. Aging Neurosci. 15:1179988. doi: 10.3389/fnagi.2023.1179988
Eisenbaum, M., Pearson, A., Ortiz, C., Koprivica, M., Cembran, A., Mullan, M., et al. (2024). Repetitive head trauma and apoE4 induce chronic cerebrovascular alterations that impair tau elimination from the brain. Exp. Neurol. 374:114702. doi: 10.1016/j.expneurol.2024.114702
Garcia, K. J., Brolly, G., Ng, D., Bederson, M., Martinez, P., and Whiting, M. D. (2024). Lifetime history of head injury is associated with reduced perivascular space number in acute mild traumatic brain injury. Brain Commun. 6:fcae314. doi: 10.1093/braincomms/fcae314
Higashida, T., Kreipke, C. W., Rafols, J. A., Peng, C., Schafer, S., Schafer, P., et al. (2011). The role of hypoxia-inducible factor-1α, aquaporin-4, and matrix metalloproteinase-9 in blood-brain barrier disruption and brain edema after traumatic brain injury. J. Neurosurg. 114, 92–101. doi: 10.3171/2010.6.JNS10207
Huang, W., Ma, L., Yan, J., Hu, W., Liu, G., Wang, R., et al. (2024). Neurite orientation dispersion and density imaging reveals abnormal white matter and glymphatic function in active young boxers. Eur. J. Sport Sci. 24, 975–986. doi: 10.1002/ejsc.12113
Iliff, J. J., Chen, M. J., Plog, B. A., Zeppenfeld, D. M., Soltero, M., Yang, L., et al. (2014). Impairment of glymphatic pathway function promotes tau pathology after traumatic brain injury. J. Neurosci. 34, 16180–16193. doi: 10.1523/JNEUROSCI.3020-14.2014
Iliff, J. J., Wang, M., Liao, Y., Plogg, B. A., Peng, W., Gundersen, G. A., et al. (2012). A paravascular pathway facilitates CSF flow through the brain parenchyma and the clearance of interstitial solutes, including amyloid β. Sci. Transl. Med. 4:147ra111. doi: 10.1126/scitranslmed.3003748
Joseph, C. R. (2021). Utilizing 3D arterial spin labeling to identify cerebrovascular leak and Glymphatic obstruction in neurodegenerative disease. Diagnostics 11:1888. doi: 10.3390/diagnostics11101888
Joseph, C. R., Lim, J. K., Grohol, B. N., Zivcevska, M., Lencke, J., Rich, E. D., et al. (2024). Identifying delay in glymphatic clearance of labeled protons post-acute head trauma utilizing 3D ASL MRI (arterial spin labeling): a pilot study. Sci. Rep. 14:6188. doi: 10.1038/s41598-024-56236-6
Jung, L. B., Wiegand, T. L. T., Tuz-Zahra, F., Tripodis, Y., Iliff, J. J., Piantino, J., et al. (2024). Repetitive head impacts and perivascular space volume in former American football players. JAMA Netw. Open 7:e2428687. doi: 10.1001/jamanetworkopen.2024.28687
Kamagata, K., Saito, Y., Andica, C., Uchida, W., Takabayashi, K., Yoshida, S., et al. (2024). Noninvasive magnetic resonance imaging measures of Glymphatic system activity. J. Magn. Reson. Imaging 59, 1476–1493. doi: 10.1002/jmri.28977
Kvist, M., Välimaa, L., Harel, A., Malmi, S., and Tuomisto, A. (2023). Glycans as potential diagnostic markers of traumatic brain injury in children. Diagnostics 13:2181. doi: 10.3390/diagnostics13132181
Li, L., Chopp, M., Ding, G., Davoodi-Bojd, E., Zhang, L., Li, Q., et al. (2020). MRI detection of impairment of glymphatic function in rat after mild traumatic brain injury. Brain Res. 1747:147062. doi: 10.1016/j.brainres.2020.147062
Maas, A. I. R., Menon, D. K., Manley, G. T., Abrams, M., Åkerlund, C., Andelic, N., et al. (2022). Traumatic brain injury: progress and challenges in prevention, clinical care, and research. Lancet Neurol. 21, 1004–1060. doi: 10.1016/S1474-4422(22)00309-X
McKee, A. C., Mez, J., Abdolmohammadi, B., Butler, M., Huber, B. R., Uretsky, M., et al. (2023). Neuropathologic and clinical findings in young contact sport athletes exposed to repetitive head impacts. JAMA Neurol. 80, 1037–1050. doi: 10.1001/jamaneurol.2023.2907
Michalaki, E., Pulliam, A. N., Datta Roy, P. M., Dixon, J. B., and LaPlaca, M. C. (2025). Near-infrared imaging of Glymphatic clearance in a pre-clinical model of repetitive closed head traumatic brain injury. Neurotrauma Rep. 6, 115–128. doi: 10.1089/neur.2024.0128
Miyata, M., Kamagata, K., Saito, Y., Uchida, W., Takabayashi, K., Moriguchi, S., et al. (2025). Diffusion tensor image analysis along the perivascular space in former professional athletes with repetitive mild traumatic brain injury history. Acad. Radiol. 32, 4777–4784. doi: 10.1016/j.acra.2025.04.028
Morita, Y., Kamagata, K., Andica, C., Takabayashi, K., Kikuta, J., Fujita, S., et al. (2023). Glymphatic system impairment in nonathlete older male adults who played contact sports in their youth associated with cognitive decline: a diffusion tensor image analysis along the perivascular space study. Front. Neurol. 14:1100736. doi: 10.3389/fneur.2023.1100736
Ng Kee Kwong, K. C., Mehta, A. R., Nedergaard, M., and Chandran, S. (2020). Defining novel functions for cerebrospinal fluid in ALS pathophysiology. Acta Neuropathol. Commun. 8:140. doi: 10.1186/s40478-020-01018-0
Piantino, J., Schwartz, D. L., Luther, M., Newgard, C., Silbert, L., Raskind, M., et al. (2021). Link between mild traumatic brain injury, poor sleep, and magnetic resonance imaging: visible perivascular spaces in veterans. J. Neurotrauma 38, 2391–2399. doi: 10.1089/neu.2020.7447
Plog, B. A., Dashnaw, M. L., Hitomi, E., Peng, W., Liao, Y., Lou, N., et al. (2015). Biomarkers of traumatic injury are transported from brain to blood via the glymphatic system. J. Neurosci. 35, 518–526. doi: 10.1523/JNEUROSCI.3742-14.2015
Powell, J. R., Zong, X., Weinstein, J. M., DeLellis, S. M., Kane, S. F., Means, G. E., et al. (2024). Mild traumatic brain injury and career stage associate with visible perivascular spaces in special operations forces soldiers. Ann. Biomed. Eng. 52, 2812–2817. doi: 10.1007/s10439-024-03468-2
Ramirez, J., Berezuk, C., McNeely, A. A., Gao, F., McLaurin, J., and Black, S. E. (2016). Imaging the perivascular space as a potential biomarker of neurovascular and neurodegenerative diseases. Cell. Mol. Neurobiol. 36, 289–299. doi: 10.1007/s10571-016-0343-6
Rasmussen, M. K., Mestre, H., and Nedergaard, M. (2018). The glymphatic pathway in neurological disorders. Lancet Neurol. 17, 1016–1024. doi: 10.1016/S1474-4422(18)30318-1
Ren, Z., Iliff, J. J., Yang, L., Yang, J., Chen, X., Chen, M. J., et al. (2013). “Hit & run” model of closed-skull traumatic brain injury (TBI) reveals complex patterns of post-traumatic AQP4 dysregulation. J. Cereb. Blood Flow Metab. 33, 834–845. doi: 10.1038/jcbfm.2013.30
Sepehrband, F., Barisano, G., Sheikh-Bahaei, N., Cabeen, R. P., Choupan, J., Law, M., et al. (2019). Image processing approaches to enhance perivascular space visibility and quantification using MRI. Sci. Rep. 9:12351. doi: 10.1038/s41598-019-48910-x
Taoka, T., Ito, R., Nakamichi, R., Nakane, T., Kawai, H., and Naganawa, S. (2024). Diffusion tensor image analysis along the perivascular space (DTI-ALPS): revisiting the meaning and significance of the method. Magn. Reson. Med. Sci. 23, 268–290. doi: 10.2463/mrms.rev.2023-0175
Taoka, T., Masutani, Y., Kawai, H., Nakane, T., Matsuoka, K., Yasuno, F., et al. (2017). Evaluation of glymphatic system activity with the diffusion MR technique: diffusion tensor image analysis along the perivascular space (DTI-ALPS) in Alzheimer’s disease cases. Jpn. J. Radiol. 35, 172–178. doi: 10.1007/s11604-017-0617-z
Tomura, S., Nawashiro, H., Otani, N., Uozumi, Y., Toyooka, T., Ohsumi, A., et al. (2011). Effect of decompressive Craniectomy on Aquaporin-4 expression after lateral fluid percussion injury in rats. J. Neurotrauma 28, 237–243. doi: 10.1089/neu.2010.1443
Wang, X., Deng, L., Liu, X., Cheng, S., Zhan, Y., and Chen, J. (2024). Relationship between glymphatic system dysfunction and cognitive impairment in patients with mild-to-moderate chronic traumatic brain injury: an analysis of the analysis along the perivascular space (ALPS) index. Quant. Imaging Med. Surg. 14, 9246–9257. doi: 10.21037/qims-24-895
Xie, L., Kang, H., Xu, Q., Chen, M. J., Liao, Y., Thiyagarajan, M., et al. (2013). Sleep drives metabolite clearance from the adult brain. Science 342, 373–377. doi: 10.1126/science.1241224
Yamamoto, E. A., Koike, S., Luther, M., Dennis, L., Lim, M. M., Raskind, M., et al. (2024). Perivascular space burden and cerebrospinal fluid biomarkers in US veterans with blast-related mild traumatic brain injury. J. Neurotrauma 41, 1565–1577. doi: 10.1089/neu.2023.0505
Yang, D.-X., Sun, Z., Yu, M.-M., Zou, Q.-Q., Li, P.-Y., Zhang, J.-K., et al. (2024). Associations of MRI-derived glymphatic system impairment with global white matter damage and cognitive impairment in mild traumatic brain injury: a DTI-ALPS study. J. Magn. Reson. Imaging 59, 639–647. doi: 10.1002/jmri.28797
Zhang, W., Zhou, Y., Wang, J., Gong, X., Chen, Z., Zhang, X., et al. (2021). Glymphatic clearance function in patients with cerebral small vessel disease. NeuroImage 238:118257. doi: 10.1016/j.neuroimage.2021.118257
Keywords: aquaporin 4 (AQP-4) water channels, concussion, enlarged perivascular spaces (ePVS), glymphatic system, sleep, diffusion tensor imaging along the perivascular spaces (DTI-ALPS), mild traumatic brain injury (mTBI)
Citation: Miettinen P, Utz B, Bañuelos-Cabrera I, Golanov E, Lenzner Z, Lara-Valderrábano L, Välimaa L and Harel A (2025) Glymphatic system and mild traumatic brain injury: a mini review. Front. Neurosci. 19:1705690. doi: 10.3389/fnins.2025.1705690
Edited by:
Kumar Vaibhav, Augusta University, United StatesReviewed by:
Matthew E. Peters, Johns Hopkins University, United StatesCopyright © 2025 Miettinen, Utz, Bañuelos-Cabrera, Golanov, Lenzner, Lara-Valderrábano, Välimaa and Harel. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Pihla Miettinen, cGlobGEubWlldHRpbmVuQG1lZGljb3J0ZXguZmk=
Ziv Lenzner3