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Spitz G, Hicks AJ, McDonald SJ, Dore V, Krishnadas N, O’Brien TJ, O’Brien WT, Vivash L, Law M, Ponsford JL, Rowe C, Shultz SR. Plasma biomarkers in chronic single moderate-severe traumatic brain injury. Brain 2024; 147:3690-3701. [PMID: 39315931 PMCID: PMC11531850 DOI: 10.1093/brain/awae255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Revised: 06/06/2024] [Accepted: 07/04/2024] [Indexed: 09/25/2024] Open
Abstract
Blood biomarkers are an emerging diagnostic and prognostic tool that reflect a range of neuropathological processes following traumatic brain injury (TBI). Their effectiveness in identifying long-term neuropathological processes after TBI is unclear. Studying biomarkers in the chronic phase is vital because elevated levels in TBI might result from distinct neuropathological mechanisms during acute and chronic phases. Here, we examine plasma biomarkers in the chronic period following TBI and their association with amyloid and tau PET, white matter microarchitecture, brain age and cognition. We recruited participants ≥40 years of age who had suffered a single moderate-severe TBI ≥10 years previously between January 2018 and March 2021. We measured plasma biomarkers using single molecule array technology [ubiquitin C-terminal hydrolase L1 (UCH-L1), neurofilament light (NfL), tau, glial fibrillary acidic protein (GFAP) and phosphorylated tau (P-tau181)]; PET tracers to measure amyloid-β (18F-NAV4694) and tau neurofibrillary tangles (18F-MK6240); MRI to assess white matter microstructure and brain age; and the Rey Auditory Verbal Learning Test to measure verbal-episodic memory. A total of 90 post-TBI participants (73% male; mean = 58.2 years) were recruited on average 22 years (range = 10-33 years) post-injury, and 32 non-TBI control participants (66% male; mean = 57.9 years) were recruited. Plasma UCH-L1 levels were 67% higher {exp(b) = 1.67, P = 0.018, adjusted P = 0.044, 95% confidence interval (CI) [10% to 155%], area under the curve = 0.616} and P-tau181 were 27% higher {exp(b) = 1.24, P = 0.011, adjusted P = 0.044, 95% CI [5% to 46%], area under the curve = 0.632} in TBI participants compared with controls. Amyloid and tau PET were not elevated in TBI participants. Higher concentrations of plasma P-tau181, UCH-L1, GFAP and NfL were significantly associated with worse white matter microstructure but not brain age in TBI participants. For TBI participants, poorer verbal-episodic memory was associated with higher concentration of P-tau181 {short delay: b = -2.17, SE = 1.06, P = 0.043, 95% CI [-4.28, -0.07]; long delay: bP-tau = -2.56, SE = 1.08, P = 0.020, 95% CI [-4.71, -0.41]}, tau {immediate memory: bTau = -6.22, SE = 2.47, P = 0.014, 95% CI [-11.14, -1.30]} and UCH-L1 {immediate memory: bUCH-L1 = -2.14, SE = 1.07, P = 0.048, 95% CI [-4.26, -0.01]}, but was not associated with functional outcome. Elevated plasma markers related to neuronal damage and accumulation of phosphorylated tau suggest the presence of ongoing neuropathology in the chronic phase following a single moderate-severe TBI. Plasma biomarkers were associated with measures of microstructural brain disruption on MRI and disordered cognition, further highlighting their utility as potential objective tools to monitor evolving neuropathology post-TBI.
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Affiliation(s)
- Gershon Spitz
- Monash-Epworth Rehabilitation Research Centre, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3800, Australia
- Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3004, Australia
| | - Amelia J Hicks
- Monash-Epworth Rehabilitation Research Centre, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Stuart J McDonald
- Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3004, Australia
- Department of Neurology, The Alfred, Melbourne, VIC 3004, Australia
| | - Vincent Dore
- Florey Department of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC 3010, Australia
- Department of Molecular Imaging and Therapy, Austin Health, Heidelberg, VIC 3084, Australia
| | - Natasha Krishnadas
- Florey Department of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC 3010, Australia
- Department of Molecular Imaging and Therapy, Austin Health, Heidelberg, VIC 3084, Australia
| | - Terence J O’Brien
- Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3004, Australia
- Department of Neurology, The Alfred, Melbourne, VIC 3004, Australia
- Department of Medicine, Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC 3010, Australia
| | - William T O’Brien
- Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3004, Australia
| | - Lucy Vivash
- Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3004, Australia
- Department of Neurology, The Alfred, Melbourne, VIC 3004, Australia
- Department of Medicine, Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Meng Law
- Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3004, Australia
- Department of Radiology, Alfred Health, Melbourne, VIC 3004, Australia
| | - Jennie L Ponsford
- Monash-Epworth Rehabilitation Research Centre, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Christopher Rowe
- Florey Department of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC 3010, Australia
- Department of Molecular Imaging and Therapy, Austin Health, Heidelberg, VIC 3084, Australia
| | - Sandy R Shultz
- Department of Neuroscience, School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3004, Australia
- Department of Neurology, The Alfred, Melbourne, VIC 3004, Australia
- The Centre for Trauma and Mental Health Research, Health Sciences and Human Services, Vancouver Island University, Nanaimo, BC V9R 5S5, Canada
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Hu JH, Zhang X, Yang HM, Xu YL, Zhang M, Niu X. A bibliometric analysis of the relationship between traumatic brain injury and Alzheimer's disease (1993-2023). Front Aging Neurosci 2024; 16:1462132. [PMID: 39507204 PMCID: PMC11538086 DOI: 10.3389/fnagi.2024.1462132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Accepted: 09/23/2024] [Indexed: 11/08/2024] Open
Abstract
Background Traumatic brain injury (TBI) increases the risk of developing Alzheimer's disease (AD), and a growing number of studies support a potential link between the two disorders. Therefore, the objective of this study is to systematically map the knowledge structure surrounding this topic over the past and to summarize the current state of research and hot frontiers in the field. Methods Data were retrieved from the Web of Science Core Collection (WOSCC) starting from the beginning until December 31, 2023, focusing on articles and reviews in English. Bibliometric tools including Bibliometrix R, VOSviewer, and Microsoft Excel were utilized for data analysis. The analysis included citations, authors, institutions, countries, journals, author keywords, and references. Results A total of 1,515 publications were identified, comprising 872 articles (57.56%) and 643 reviews (42.44%). The annual number of publications increased steadily, especially after 2013, with an R2 value of 0.978 indicating a strong upward trend. The USA was the leading country in terms of publications (734 articles), followed by China (162 articles) and the United Kingdom (77 articles). Meanwhile Boston University was the most productive institution. Collaborative networks show strong collaborative author links between the USA and the United Kingdom, as well as China. The analysis also showed that the Journal of Alzheimer's Disease was the most productive journal, while the article authored by McKee achieved the highest local citations value. The top three author keywords, in terms of occurrences, were "Alzheimer's disease," "traumatic brain injury," and "neurodegeneration." Thematic mapping showed a consolidation of research themes over time, decreasing from 11 main themes to 8. Emerging themes such as "obesity" and "diffusion tensor imaging" indicate new directions in the field. Conclusion The research on AD after TBI has attracted a great deal of interest from scientists. Notably, the USA is at the forefront of research in this field. There is a need for further collaborative research between countries. Overall, this study provides a comprehensive overview of developments in TBI and AD research, highlighting key contributors, emerging topics, and potential areas for future investigation.
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Affiliation(s)
- Ji-Hua Hu
- Department of Medical Imaging, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Xin Zhang
- School of Future Technology, Xi’an Jiaotong University, Xi’an, China
| | - Hong-Mei Yang
- Department of Pharmacy, Xi’an Honghui Hospital, Xi’an, China
| | - Ya-Ling Xu
- Department of Pharmacy, Xi’an Honghui Hospital, Xi’an, China
| | - Ming Zhang
- Department of Medical Imaging, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Centre for Clinical Skills Training, Xi’an Children’s Hospital, Xi’an, China
| | - Xuan Niu
- Department of Medical Imaging, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
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Garcia KJ, Brolly G, Ng D, Bederson M, Martinez P, Whiting MD. Lifetime history of head injury is associated with reduced perivascular space number in acute mild traumatic brain injury. Brain Commun 2024; 6:fcae314. [PMID: 39329080 PMCID: PMC11426355 DOI: 10.1093/braincomms/fcae314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 07/08/2024] [Accepted: 09/16/2024] [Indexed: 09/28/2024] Open
Abstract
Traumatic brain injury impairs function of the glymphatic system, a perivascular network involved in waste clearance. Enlarged perivascular spaces visible on MRI are an emerging biomarker of glymphatic function. This study characterized enlarged perivascular spaces in acute head injury with 7 T MRI. Healthy controls (n = 8) and patients (n = 11) with mild traumatic brain injury underwent MRI within 7 days of injury and were evaluated for lifetime history of head injury, neurobehavioral symptoms and sleep disturbances. MRI-visible perivascular spaces were quantified and assessed according to published criteria. The number of enlarged perivascular spaces was significantly higher in traumatic brain injury patients than controls (P = 0.015). Among healthy controls, 6/8 scored 'none' or 'mild' on the perivascular space rating scale, while 10/11 patients scored 'moderate', 'frequent' or 'severe'. There was an inverse relationship between perivascular space number and number of lifetime head injuries. Patients with more prior head injuries exhibited fewer enlarged perivascular spaces (P = 0.014). These results indicate that mild head injury results in acute alterations in perivascular space number, and this effect is mediated by previous head injury history. Enlarged perivascular spaces may reflect a glymphatic response that is diminished after multiple head injuries, although this will require further study.
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Affiliation(s)
- Kiersten J Garcia
- Stephens Family Clinical Research Institute, Carle Health, Urbana, IL 61801, USA
- Carle Illinois Advanced Imaging Center, Carle Health, Urbana, IL 61801, USA
| | - Grace Brolly
- Carle Illinois College of Medicine, Urbana, IL 61801, USA
| | - Daniel Ng
- Carle Illinois College of Medicine, Urbana, IL 61801, USA
| | - Maria Bederson
- Carle Illinois College of Medicine, Urbana, IL 61801, USA
| | - Pedro Martinez
- Department of Neuroscience, Wartburg College, Waverly, IA 50677, USA
| | - Mark D Whiting
- Stephens Family Clinical Research Institute, Carle Health, Urbana, IL 61801, USA
- Carle Illinois Advanced Imaging Center, Carle Health, Urbana, IL 61801, USA
- Carle Illinois College of Medicine, Urbana, IL 61801, USA
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Waymont JMJ, Valdés Hernández MDC, Bernal J, Duarte Coello R, Brown R, Chappell FM, Ballerini L, Wardlaw JM. Systematic review and meta-analysis of automated methods for quantifying enlarged perivascular spaces in the brain. Neuroimage 2024; 297:120685. [PMID: 38914212 DOI: 10.1016/j.neuroimage.2024.120685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 05/20/2024] [Accepted: 06/10/2024] [Indexed: 06/26/2024] Open
Abstract
Research into magnetic resonance imaging (MRI)-visible perivascular spaces (PVS) has recently increased, as results from studies in different diseases and populations are cementing their association with sleep, disease phenotypes, and overall health indicators. With the establishment of worldwide consortia and the availability of large databases, computational methods that allow to automatically process all this wealth of information are becoming increasingly relevant. Several computational approaches have been proposed to assess PVS from MRI, and efforts have been made to summarise and appraise the most widely applied ones. We systematically reviewed and meta-analysed all publications available up to September 2023 describing the development, improvement, or application of computational PVS quantification methods from MRI. We analysed 67 approaches and 60 applications of their implementation, from 112 publications. The two most widely applied were the use of a morphological filter to enhance PVS-like structures, with Frangi being the choice preferred by most, and the use of a U-Net configuration with or without residual connections. Older adults or population studies comprising adults from 18 years old onwards were, overall, more frequent than studies using clinical samples. PVS were mainly assessed from T2-weighted MRI acquired in 1.5T and/or 3T scanners, although combinations using it with T1-weighted and FLAIR images were also abundant. Common associations researched included age, sex, hypertension, diabetes, white matter hyperintensities, sleep and cognition, with occupation-related, ethnicity, and genetic/hereditable traits being also explored. Despite promising improvements to overcome barriers such as noise and differentiation from other confounds, a need for joined efforts for a wider testing and increasing availability of the most promising methods is now paramount.
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Affiliation(s)
- Jennifer M J Waymont
- Centre for Clinical Brain Sciences, the University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK; UK Dementia Research Institute Centre at the University of Edinburgh, UK
| | - Maria Del C Valdés Hernández
- Centre for Clinical Brain Sciences, the University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK; UK Dementia Research Institute Centre at the University of Edinburgh, UK.
| | - José Bernal
- Centre for Clinical Brain Sciences, the University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK; UK Dementia Research Institute Centre at the University of Edinburgh, UK; German Centre for Neurodegenerative Diseases (DZNE), Germany; Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University Magdeburg, Germany
| | - Roberto Duarte Coello
- Centre for Clinical Brain Sciences, the University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK; UK Dementia Research Institute Centre at the University of Edinburgh, UK
| | - Rosalind Brown
- Centre for Clinical Brain Sciences, the University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK; UK Dementia Research Institute Centre at the University of Edinburgh, UK
| | - Francesca M Chappell
- Centre for Clinical Brain Sciences, the University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK; UK Dementia Research Institute Centre at the University of Edinburgh, UK
| | | | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, the University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK; UK Dementia Research Institute Centre at the University of Edinburgh, UK
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Zhuo J, Raghavan P, Li J, Roys S, Njonkou Tchoquessi RL, Chen H, Wickwire EM, Parikh GY, Schwartzbauer GT, Grattan LM, Wang Z, Gullapalli RP, Badjatia N. Longitudinal assessment of glymphatic changes following mild traumatic brain injury: Insights from perivascular space burden and DTI-ALPS imaging. Front Neurol 2024; 15:1443496. [PMID: 39170078 PMCID: PMC11335690 DOI: 10.3389/fneur.2024.1443496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Accepted: 07/08/2024] [Indexed: 08/23/2024] Open
Abstract
Introduction Traumatic brain injury (TBI) even in the mild form may result in long-lasting post-concussion symptoms. TBI is also a known risk to late-life neurodegeneration. Recent studies suggest that dysfunction in the glymphatic system, responsible for clearing protein waste from the brain, may play a pivotal role in the development of dementia following TBI. Given the diverse nature of TBI, longitudinal investigations are essential to comprehending the dynamic changes in the glymphatic system and its implications for recovery. Methods In this prospective study, we evaluated two promising glymphatic imaging markers, namely the enlarged perivascular space (ePVS) burden and Diffusion Tensor Imaging-based ALPS index, in 44 patients with mTBI at two early post-injury time points: approximately 14 days (14Day) and 6-12 months (6-12Mon) post-injury, while also examining their associations with post-concussion symptoms. Additionally, 37 controls, comprising both orthopedic patients and healthy individuals, were included for comparative analysis. Results Our key findings include: (1) White matter ePVS burden (WM-ePVS) and ALPS index exhibit significant correlations with age. (2) Elevated WM-ePVS burden in acute mTBI (14Day) is significantly linked to a higher number of post-concussion symptoms, particularly memory problems. (3) The increase in the ALPS index from acute (14Day) to the chronic (6-12Mon) phases in mTBI patients correlates with improvement in sleep measures. Furthermore, incorporating WM-ePVS burden and the ALPS index from acute phase enhances the prediction of chronic memory problems beyond socio-demographic and basic clinical information. Conclusion ePVS burden and ALPS index offers distinct values in assessing glymphatic structure and activity. Early evaluation of glymphatic function could be crucial for understanding TBI recovery and developing targeted interventions to improve patient outcomes.
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Affiliation(s)
- Jiachen Zhuo
- Center for Advanced Imaging Research, University of Maryland School of Medicine, Baltimore, MD, United States
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Prashant Raghavan
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Jiang Li
- Center for Advanced Imaging Research, University of Maryland School of Medicine, Baltimore, MD, United States
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Steven Roys
- Center for Advanced Imaging Research, University of Maryland School of Medicine, Baltimore, MD, United States
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Rosy Linda Njonkou Tchoquessi
- Center for Advanced Imaging Research, University of Maryland School of Medicine, Baltimore, MD, United States
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Hegang Chen
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Emerson M. Wickwire
- Department of Psychiatry and Medicine, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Gunjan Y. Parikh
- Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, United States
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Gary T. Schwartzbauer
- Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, United States
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Lynn M. Grattan
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Ze Wang
- Center for Advanced Imaging Research, University of Maryland School of Medicine, Baltimore, MD, United States
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Rao P. Gullapalli
- Center for Advanced Imaging Research, University of Maryland School of Medicine, Baltimore, MD, United States
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Neeraj Badjatia
- Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, United States
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, United States
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Walter AE, Savalia K, Yoon J, Morrison J, Schneider ALC, Diaz-Arrastia R, Sandsmark DK. Change in Enlarged Perivascular Spaces over Time and Associations with Outcomes After Traumatic Brain Injury. Neurotrauma Rep 2024; 5:738-748. [PMID: 39144451 PMCID: PMC11319858 DOI: 10.1089/neur.2024.0026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/16/2024] Open
Abstract
Enlarged perivascular spaces (EPVs) can be seen on magnetic resonance imaging (MRI) scans in various neurological diseases, including traumatic brain injury (TBI). EPVs have been associated with cognitive dysfunction and sleep disturbances; however, their clinical significance remains unclear. The goal of this study was to identify MRI burden of EPVs over time following TBI and to explore their relationship with postinjury outcomes. Individuals with TBI underwent postinjury data collection at Day 1 (blood), 2 weeks (blood, MRI, outcomes), and 6 months (blood, MRI, outcomes). EPV burden was assessed using T1 and FLAIR sequences on representative slices in the centrum semiovale, basal ganglia, and midbrain. Serum blood was assayed to measure concentrations of neurofilament light (NfL) and glial fibrillary acidic protein (GFAP). Thirty-two participants with TBI were included (mean age 36.8 years, 78% male, 50% White). Total EPVs count did not significantly change from 2 weeks (23.5 [95% confidence interval or CI = 22.0-32.0]) to 6 months (26.0 [95% CI = 22.0-30.0], p = 0.16). For self-reported measures of sleep, there were no significant associations between EPVs count and Insomnia Severity Index (2 weeks: β = -0.004; 95% CI = -0.094, 0.086; 6 months: β = 0.002; 95% CI = -0.122, 0.125) or the subset of sleep questions on the Rivermead Post-Concussion Symptoms Questionnaire (2 weeks: β = -0.005; 95% CI = -0.049, 0.039; 6 months: β = -0.019; 95% CI = -0.079, 0.042). Functional outcome, determined by 6 months incomplete recovery (Glasgow Outcome Scale-Extended [GOS-E < 8]) versus complete recovery (GOS-E = 8), was significantly associated with a higher number of EPVs at 2 weeks (odds ratio = 0.94, 95% CI = 0.88-0.99). Spearman correlations showed no significant relationship between EPVs count and GFAP or NfL. This study used commonly acquired MRI sequences to quantify EPVs and investigated their utility as a potential imaging biomarker in TBI. Given the minimal change in EPVs over time, this period may not be long enough for potential recovery or may indicate that EPVs are structural findings that do not significantly change over time.
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Affiliation(s)
- Alexa E. Walter
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Krupa Savalia
- Departments of Neurology and Neurological Surgery, University of California Davis, Davis, California, USA
| | - Jason Yoon
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Justin Morrison
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Andrea L. C. Schneider
- Departments of Neurology and Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Ramon Diaz-Arrastia
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Danielle K. Sandsmark
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
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7
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Premi E, Diano M, Mattioli I, Altomare D, Cantoni V, Bocchetta M, Gasparotti R, Buratti E, Pengo M, Bouzigues A, Russell LL, Foster PH, Ferry-Bolder E, Heller C, van Swieten JC, Jiskoot LC, Seelaar H, Moreno F, Sanchez-Valle R, Galimberti D, Laforce R, Graff C, Masellis M, Tartaglia MC, Rowe JB, Finger E, Vandenberghe R, de Mendonça A, Butler CR, Gerhard A, Ducharme S, Le Ber I, Tiraboschi P, Santana I, Pasquier F, Synofzik M, Levin J, Otto M, Sorbi S, Rohrer JD, Borroni B. Impaired glymphatic system in genetic frontotemporal dementia: a GENFI study. Brain Commun 2024; 6:fcae185. [PMID: 39015769 PMCID: PMC11249959 DOI: 10.1093/braincomms/fcae185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 04/30/2024] [Accepted: 06/13/2024] [Indexed: 07/18/2024] Open
Abstract
The glymphatic system is an emerging target in neurodegenerative disorders. Here, we investigated the activity of the glymphatic system in genetic frontotemporal dementia with a diffusion-based technique called diffusion tensor image analysis along the perivascular space. We investigated 291 subjects with symptomatic or presymptomatic frontotemporal dementia (112 with chromosome 9 open reading frame 72 [C9orf72] expansion, 119 with granulin [GRN] mutations and 60 with microtubule-associated protein tau [MAPT] mutations) and 83 non-carriers (including 50 young and 33 old non-carriers). We computed the diffusion tensor image analysis along the perivascular space index by calculating diffusivities in the x-, y- and z-axes of the plane of the lateral ventricle body. Clinical stage and blood-based markers were considered. A subset of 180 participants underwent cognitive follow-ups for a total of 640 evaluations. The diffusion tensor image analysis along the perivascular space index was lower in symptomatic frontotemporal dementia (estimated marginal mean ± standard error, 1.21 ± 0.02) than in old non-carriers (1.29 ± 0.03, P = 0.009) and presymptomatic mutation carriers (1.30 ± 0.01, P < 0.001). In mutation carriers, lower diffusion tensor image analysis along the perivascular space was associated with worse disease severity (β = -1.16, P < 0.001), and a trend towards a significant association between lower diffusion tensor image analysis along the perivascular space and higher plasma neurofilament light chain was reported (β = -0.28, P = 0.063). Analysis of longitudinal data demonstrated that worsening of disease severity was faster in patients with low diffusion tensor image analysis along the perivascular space at baseline than in those with average (P = 0.009) or high (P = 0.006) diffusion tensor image analysis along the perivascular space index. Using a non-invasive imaging approach as a proxy for glymphatic system function, we demonstrated glymphatic system abnormalities in the symptomatic stages of genetic frontotemporal dementia. Such measures of the glymphatic system may elucidate pathophysiological processes in human frontotemporal dementia and facilitate early phase trials of genetic frontotemporal dementia.
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Affiliation(s)
- Enrico Premi
- Stroke Unit, ASST Spedali Civili Brescia, Brescia, 25123, Italy
| | - Matteo Diano
- Department of Psychology, University of Torino, Turin, 10124, Italy
| | - Irene Mattioli
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, 25123, Italy
| | - Daniele Altomare
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, 25123, Italy
| | - Valentina Cantoni
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, 25123, Italy
| | - Martina Bocchetta
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, WC1N, UK
- Centre for Cognitive and Clinical Neuroscience, Division of Psychology, Department of Life Sciences, College of Health, Medicine and Life Sciences, Brunel University London, London, UB8 3PN, UK
| | | | - Emanuele Buratti
- International Centre for Genetic Enginneering and Biotechnology, Trieste, 34149, Italy
| | - Marta Pengo
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, 25123, Italy
| | - Arabella Bouzigues
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, WC1N, UK
| | - Lucy L Russell
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, WC1N, UK
| | - Phoebe H Foster
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, WC1N, UK
| | - Eve Ferry-Bolder
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, WC1N, UK
| | - Carolin Heller
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, WC1N, UK
| | - John C van Swieten
- Department of Neurology, Erasmus Medical Centre, Rotterdam, 2040 3000, The Netherlands
| | - Lize C Jiskoot
- Department of Neurology, Erasmus Medical Centre, Rotterdam, 2040 3000, The Netherlands
| | - Harro Seelaar
- Department of Neurology, Erasmus Medical Centre, Rotterdam, 2040 3000, The Netherlands
| | - Fermin Moreno
- Cognitive Disorders Unit, Department of Neurology, Donostia University Hospital, San Sebastian, 20014, Spain
- Neuroscience Area, Biodonostia Health Research Institute, San Sebastian, Gipuzkoa, 20014, Spain
| | - Raquel Sanchez-Valle
- Alzheimer’s Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic, Institut d’Investigacións Biomèdiques August Pi I Sunyer, University of Barcelona, Barcelona, 08036, Spain
| | - Daniela Galimberti
- Fondazione Ca’ Granda, IRCCS Ospedale Policlinico, Milan, 20122, Italy
- Centro Dino Ferrari, University of Milan, Milan, 20122, Italy
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, CHU de Québec, Faculté de Médecine, Université Laval, Quebec City, G1V 0A6, Canada
| | - Caroline Graff
- Center for Alzheimer Research, Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Bioclinicum, Karolinska Institutet, Solna, 17177, Sweden
- Unit for Hereditary Dementias, Theme Aging, Karolinska University Hospital, Solna, 17177, Sweden
| | - Mario Masellis
- Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, University of Toronto, Toronto, ON M4N 3M5, Canada
| | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON M4N 3M5, Canada
| | - James B Rowe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 1TN, UK
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, London, ON N6A 5A5, Canada
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Leuven, 3000, Belgium
- Neurology Service, University Hospitals Leuven, Leuven, 3000, Belgium
- Leuven Brain Institute, KU Leuven, Leuven, 3000, Belgium
| | | | - Chris R Butler
- Nuffield Department of Clinical Neurosciences, Medical Sciences Division, University of Oxford, Oxford, OX1 4BH, UK
- Department of Brain Sciences, Imperial College London, London, SW7 2BX, UK
| | - Alexander Gerhard
- Division of Neuroscience and Experimental Psychology, Wolfson Molecular Imaging Centre, University of Manchester, Manchester, M13 9GB, UK
- Department of Geriatric Medicine, University of Duisburg-Essen, Duisburg, 47057, Germany
- Department of Nuclear Medicine, University of Duisburg-Essen, Duisburg, 47057, Germany
| | - Simon Ducharme
- Department of Psychiatry, McGill University Health Centre, McGill University, Montreal, H3H 2R9, Québec, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, H3H 2R9, Québec, Canada
| | - Isabelle Le Ber
- Sorbonne Université, Paris Brain Institute—Institut du Cerveau—ICM, Inserm U1127, CNRS UMR 7225, Paris, 75013, France
- Centre de Référence des Démences Rares ou Précoces, IM2A, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, 75651, France
- Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, 5783, France
| | - Pietro Tiraboschi
- Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, 20133, Italy
| | - Isabel Santana
- Neurology Service, Faculty of Medicine, University Hospital of Coimbra (HUC), University of Coimbra, Coimbra, 3000-214, Portugal
- Center for Neuroscience and Cell Biology, Faculty of Medicine, University of Coimbra, Coimbra, 3000-214, Portugal
| | - Florence Pasquier
- University of Lille, Lille, 59000, France
- Inserm 1172, Lille, Lille, 59000, France
- CHU, CNR-MAJ, Labex Distalz, LiCEND Lille, Lille, 59000, France
| | - Matthis Synofzik
- Division Translational Genomics of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, 72074, Germany
- Center for Neurodegenerative Diseases (DZNE), Tübingen, 72076, Germany
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians Universität München, Munich, 80539, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, 81377, Germany
- Munich Cluster of Systems Neurology (SyNergy), Munich, 81377, Germany
| | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, 89081, Germany
| | - Sandro Sorbi
- Department of Neurofarba, University of Florence, Florence, 50139, Italy
- IRCCS Fondazione Don Carlo Gnocchi, Florence, 50124, Italy
| | - Jonathan D Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, WC1N, UK
| | - Barbara Borroni
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, 25123, Italy
- Department of Continuity of Care and Frailty, ASST Spedali Civili Brescia, Brescia, 25123, Italy
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Zhuo J, Raghavan P, Jiang L, Roys S, Tchoquessi RLN, Chen H, Wickwire EM, Parikh GY, Schwartzbauer GT, Grattan LM, Wang Z, Gullapalli RP, Badjatia N. Longitudinal Assessment of Glymphatic Changes Following Mild Traumatic Brain Injury: Insights from PVS burden and DTI-ALPS Imaging. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.06.01.24307927. [PMID: 38854000 PMCID: PMC11160843 DOI: 10.1101/2024.06.01.24307927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2024]
Abstract
Traumatic brain injury (TBI) even in the mild form may result in long-lasting post-concussion symptoms. TBI is also a known risk to late-life neurodegeneration. Recent studies suggest that dysfunction in the glymphatic system, responsible for clearing protein waste from the brain, may play a pivotal role in the development of dementia following TBI. Given the diverse nature of TBI, longitudinal investigations are essential to comprehending the dynamic changes in the glymphatic system and its implications for recovery. In this prospective study, we evaluated two promising glymphatic imaging markers, namely the enlarged perivascular space (ePVS) burden and Diffusion Tensor Imaging-based ALPS index, in 44 patients with mTBI at two early post-injury time points: approximately 14 days (14Day) and 6-12 months (6-12Mon) post-injury, while also examining their associations with post-concussion symptoms. Additionally, 37 controls, comprising both orthopedic patients and healthy individuals, were included for comparative analysis. Our key findings include: 1) White matter ePVS burden (WM-ePVS) and ALPS index exhibit significant correlations with age. 2) Elevated WM-ePVS burden in acute mTBI (14Day) is significantly linked to a higher number of post-concussion symptoms, particularly memory problems. 3) The increase in the ALPS index from acute (14Day) to the chronic (6-12Mon) phases in mTBI patients correlates with improvement in sleep measures. Furthermore, incorporating WM-ePVS burden and the ALPS index from acute phase enhances the prediction of chronic memory problems beyond socio-demographic and basic clinical information, highlighting their distinct roles in assessing glymphatic structure and activity. Early evaluation of glymphatic function could be crucial for understanding TBI recovery and developing targeted interventions to improve patient outcomes.
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Affiliation(s)
- Jiachen Zhuo
- Center for Advanced Imaging Research, University of Maryland School of Medicine, Baltimore, MD
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - Prashant Raghavan
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - Li Jiang
- Center for Advanced Imaging Research, University of Maryland School of Medicine, Baltimore, MD
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - Steven Roys
- Center for Advanced Imaging Research, University of Maryland School of Medicine, Baltimore, MD
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - Rosy Linda Njonkou Tchoquessi
- Center for Advanced Imaging Research, University of Maryland School of Medicine, Baltimore, MD
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - Hegang Chen
- Department of Epidemiology & public Health, University of Maryland School of Medicine, Baltimore, MD
| | - Emerson M. Wickwire
- Department of Psychiatry & Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - Gunjan Y. Parikh
- Program in Trauma, University of Maryland School of Medicine, Baltimore, MD
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD
| | - Gary T. Schwartzbauer
- Program in Trauma, University of Maryland School of Medicine, Baltimore, MD
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD
| | - Lynn M. Grattan
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD
| | - Ze Wang
- Center for Advanced Imaging Research, University of Maryland School of Medicine, Baltimore, MD
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - Rao P. Gullapalli
- Center for Advanced Imaging Research, University of Maryland School of Medicine, Baltimore, MD
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - Neeraj Badjatia
- Program in Trauma, University of Maryland School of Medicine, Baltimore, MD
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD
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9
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Li N, Shao JM, Jiang Y, Wang CH, Li SB, Wang DC, Di WY. Unraveling the Predictors of Enlarged Perivascular Spaces: A Comprehensive Logistic Regression Approach in Cerebral Small Vessel Disease. Int J Gen Med 2024; 17:2513-2525. [PMID: 38846346 PMCID: PMC11155382 DOI: 10.2147/ijgm.s464356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 05/28/2024] [Indexed: 06/09/2024] Open
Abstract
Background This study addresses the predictive modeling of Enlarged Perivascular Spaces (EPVS) in neuroradiology and neurology, focusing on their impact on Cerebral Small Vessel Disease (CSVD) and neurodegenerative disorders. Methods A retrospective analysis was conducted on 587 neurology inpatients, utilizing LASSO regression for variable selection and logistic regression for model development. The study included comprehensive demographic, medical history, and laboratory data analyses. Results The model identified key predictors of EPVS, including Age, Hypertension, Stroke, Lipoprotein a, Platelet Large Cell Ratio, Uric Acid, and Albumin to Globulin Ratio. The predictive nomogram demonstrated strong efficacy in EPVS risk assessment, validated through ROC curve analysis, calibration plots, and Decision Curve Analysis. Conclusion The study presents a novel, robust EPVS predictive model, providing deeper insights into EPVS mechanisms and risk factors. It underscores the potential for early diagnosis and improved management strategies in neuro-radiology and neurology, highlighting the need for future research in diverse populations and longitudinal settings.
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Affiliation(s)
- Ning Li
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, Hebei Province, People’s Republic of China
| | - Jia-Min Shao
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, Hebei Province, People’s Republic of China
| | - Ye Jiang
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, Hebei Province, People’s Republic of China
| | - Chu-Han Wang
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, Hebei Province, People’s Republic of China
| | - Si-Bo Li
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, Hebei Province, People’s Republic of China
| | - De-Chao Wang
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, Hebei Province, People’s Republic of China
| | - Wei-Ying Di
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, Hebei Province, People’s Republic of China
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10
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Al Masri M, Corell A, Michaëlsson I, Jakola AS, Skoglund T. The glymphatic system for neurosurgeons: a scoping review. Neurosurg Rev 2024; 47:61. [PMID: 38253938 PMCID: PMC10803566 DOI: 10.1007/s10143-024-02291-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 01/05/2024] [Accepted: 01/14/2024] [Indexed: 01/24/2024]
Abstract
The discovery of the glymphatic system has revolutionized our understanding of cerebrospinal fluid (CSF) circulation and interstitial waste clearance in the brain. This scoping review aims to synthesize the current literature on the glymphatic system's role in neurosurgical conditions and its potential as a therapeutic target. We conducted a comprehensive search in PubMed and Scopus databases for studies published between January 1, 2012, and October 31, 2023. Studies were selected based on their relevance to neurosurgical conditions and glymphatic function, with both animal and human studies included. Data extraction focused on the methods for quantifying glymphatic function and the main results. A total of 67 articles were included, covering conditions such as idiopathic normal pressure hydrocephalus (iNPH), idiopathic intracranial hypertension (IIH), subarachnoid hemorrhage (SAH), stroke, intracranial tumors, and traumatic brain injury (TBI). Significant glymphatic dysregulation was noted in iNPH and IIH, with evidence of impaired CSF dynamics and delayed clearance. SAH studies indicated glymphatic dysfunction with the potential therapeutic effects of nimodipine and tissue plasminogen activator. In stroke, alterations in glymphatic activity correlated with the extent of edema and neurological recovery. TBI studies highlighted the role of the glymphatic system in post-injury cognitive outcomes. Results indicate that the regulation of aquaporin-4 (AQP4) channels is a critical target for therapeutic intervention. The glymphatic system plays a critical role in the pathophysiology of various neurosurgical conditions, influencing brain edema and CSF dynamics. Targeting the regulation of AQP4 channels presents as a significant therapeutic strategy. Although promising, the translation of these findings into clinical practice requires further human studies. Future research should focus on establishing non-invasive biomarkers for glymphatic function and exploring the long-term effects of glymphatic dysfunction.
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Affiliation(s)
- Mohammad Al Masri
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Alba Corell
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Neurosurgery, Sahlgrenska University Hospital, Blå Stråket 5, 3 tr, SE-41345, Gothenburg, Sweden
| | - Isak Michaëlsson
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Neurosurgery, Sahlgrenska University Hospital, Blå Stråket 5, 3 tr, SE-41345, Gothenburg, Sweden
| | - Asgeir S Jakola
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Neurosurgery, Sahlgrenska University Hospital, Blå Stråket 5, 3 tr, SE-41345, Gothenburg, Sweden
| | - Thomas Skoglund
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
- Department of Neurosurgery, Sahlgrenska University Hospital, Blå Stråket 5, 3 tr, SE-41345, Gothenburg, Sweden.
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11
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Ornello R, Bruno F, Frattale I, Curcio G, Pistoia F, Splendiani A, Sacco S. White matter hyperintensities in migraine are not mediated by a dysfunction of the glymphatic system-A diffusion tensor imaging magnetic resonance imaging study. Headache 2023; 63:1128-1134. [PMID: 37594440 DOI: 10.1111/head.14607] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 05/28/2023] [Accepted: 05/31/2023] [Indexed: 08/19/2023]
Abstract
OBJECTIVE We assessed whether brain magnetic resonance imaging (MRI) markers of glymphatic function are altered in patients with migraine and brain white matter hyperintensities (WMHs). BACKGROUND The glymphatic system is responsible for the outflow of waste products from the brain. An impaired glymphatic system has been associated with WMH; however, this impairment has not been shown in patients with migraine. METHODS The present cross-sectional study included consecutive patients with migraine from a single tertiary headache center. Glymphatic function was assessed by measuring the diffusion tensor imaging along the perivascular space (DTI-ALPS) technique, resulting in an index value. WMHs were assessed and quantified by using the Scheltens semi-quantitative score. RESULTS We included 147 patients (120 women [81.6%]) with a median (interquartile range [IQR]) age of 45 (36-50) years. In all, 74 (50.3%) patients had WMHs. The median (IQR) ALPS index was similar in patients with WMHs compared with those without, at 2.658 (2.332-3.199) versus 2.563 (2.222-3.050) (p = 0.344). The Scheltens score did not correlate with ALPS index (rho = 0.112, p = 0.268). CONCLUSIONS Our results suggest that the presence of WMHs is not associated with an impairment in the glymphatic system in patients with migraine. Although negative and worthy of further confirmation, our finding has implications for the understanding of the nature of WMH in patients with migraine.
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Affiliation(s)
- Raffaele Ornello
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Federico Bruno
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Ilaria Frattale
- Child Neurology and Neuropsychiatry Unit, Department of Systems Medicine, Tor Vergata University, Rome, Italy
| | - Giuseppe Curcio
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Francesca Pistoia
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Alessandra Splendiani
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Simona Sacco
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
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