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Ekenze O, Seiler S, Pinheiro A, DeCarli C, Parva P, Habes M, Charidimou A, Maillard P, Beiser A, Seshadri S, Demissie S, Romero JR. Relation of MRI visible perivascular spaces with global and regional brain structural connectivity measures: The Framingham Heart Study (FHS). Neurobiol Aging 2025; 150:1-8. [PMID: 40043467 PMCID: PMC11981825 DOI: 10.1016/j.neurobiolaging.2025.02.007] [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: 09/04/2024] [Revised: 12/31/2024] [Accepted: 02/25/2025] [Indexed: 03/09/2025]
Abstract
MRI visible perivascular spaces (PVS) are associated with cognitive impairment and dementia, which are also associated with disrupted network connectivity. PVS may relate to dementia risk through disruption in brain connectivity. We studied the relation between PVS grade and global and regional structural connectivity in Framingham Heart Study participants free of stroke and dementia. PVS were rated on axial T2 sequences in the basal ganglia (BG) and centrum semiovale (CSO). We assessed structural global and regional network architecture using global efficiency, local efficiency and modularity. Analysis of covariance was used to relate PVS grades with structural network measures. Models adjusted for age, sex (model 1), and vascular risk factors (model 2). Effect modification on the associations by age, sex, hypertension and APOE-ɛ4 status was assessed. Among 2525 participants (mean age 54 ± 13 years, 53 % female), significant associations were observed between grade III and IV PVS in the BG and CSO with reduced global efficiency. Grade III (β -0.0030; 95 % confidence interval [CI] -0.0041, -0.0019) and IV (β -0.0033, CI -0.0060, -0.0007) PVS in the BG and grade IV (β -0.0015; CI -0.0024, -0.0007) PVS in the CSO were associated with reduced local efficiency. We observed shared and different strength of association by age, hypertension, sex and APOE-ɛ4 in the relationship between high burden PVS in the BG and CSO with structural network measures. Findings suggest that higher grade PVS are associated with disruption of global and regional structural brain networks.
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Affiliation(s)
- Oluchi Ekenze
- NHLBI's Framingham Heart Study, 73 Mt Wayte Avenue, Framingham, MA 01702, USA
| | - Stephan Seiler
- Department of Neurology, Medical University of Graz, Austria; Division of Neuroradiology, Vascular and Interventional Radiology, Medical University of Graz, Graz 8036, Austria
| | - Adlin Pinheiro
- NHLBI's Framingham Heart Study, 73 Mt Wayte Avenue, Framingham, MA 01702, USA; Department of Biostatistics, Boston University School of Public Health, 715 Albany St, Boston, MA 02118, USA
| | - Charles DeCarli
- Department of Neurology, University of California at Davis, Davis, CA, USA
| | - Pedram Parva
- Department of Radiology, Veterans Affairs Boston Health System, Boston, MA 02130, USA
| | - Mohamad Habes
- Department of Radiology, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX 78229, USA
| | - Andreas Charidimou
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, 72 E Concord Street, Boston, MA 02118, USA
| | - Pauline Maillard
- Department of Neurology, University of California at Davis, Davis, CA, USA
| | - Alexa Beiser
- NHLBI's Framingham Heart Study, 73 Mt Wayte Avenue, Framingham, MA 01702, USA; Department of Biostatistics, Boston University School of Public Health, 715 Albany St, Boston, MA 02118, USA; Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, 72 E Concord Street, Boston, MA 02118, USA
| | - Sudha Seshadri
- NHLBI's Framingham Heart Study, 73 Mt Wayte Avenue, Framingham, MA 01702, USA; The Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX 78229, USA
| | - Serkalem Demissie
- NHLBI's Framingham Heart Study, 73 Mt Wayte Avenue, Framingham, MA 01702, USA; Department of Biostatistics, Boston University School of Public Health, 715 Albany St, Boston, MA 02118, USA
| | - Jose Rafael Romero
- NHLBI's Framingham Heart Study, 73 Mt Wayte Avenue, Framingham, MA 01702, USA; Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, 72 E Concord Street, Boston, MA 02118, USA.
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Ma C, Liu A, Liu J, Wang X, Cong F, Li Y, Liu J. A window into the brain: multimodal MRI assessment of vascular cognitive impairment. Front Neurosci 2025; 19:1526897. [PMID: 40309660 PMCID: PMC12040843 DOI: 10.3389/fnins.2025.1526897] [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: 11/12/2024] [Accepted: 02/25/2025] [Indexed: 05/02/2025] Open
Abstract
Vascular cognitive impairment (VCI) encompasses a diverse range of syndromes, including mild cognitive impairment and vascular dementia (VaD), primarily attributed to cerebrovascular lesions and vascular risk factors. Its prevalence ranks second only to Alzheimer's disease (AD) in neuro diseases. The advancement of medical imaging technology, particularly magnetic resonance imaging (MRI), has enabled the early detection of structural, functional, metabolic, and cerebral connectivity alterations in individuals with VCI. This paper examines the utility of multimodal MRI in evaluating structural changes in the cerebral cortex, integrity of white matter fiber tracts, alterations in the blood-brain barrier (BBB) and glymphatic system (GS) activity, alteration of neurovascular coupling function, assessment of brain connectivity, and assessment of metabolic changes in patients with VCI.
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Affiliation(s)
- Changjun Ma
- School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, China
- Stem Cell Clinical Research Center, National Joint Engineering Laboratory, Regenerative Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian, China
- Dalian Innovation Institute of Stem Cell and Precision Medicine, Dalian, China
| | - Ailian Liu
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Jiahui Liu
- Stem Cell Clinical Research Center, National Joint Engineering Laboratory, Regenerative Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian, China
- Dalian Innovation Institute of Stem Cell and Precision Medicine, Dalian, China
| | - Xiulin Wang
- Stem Cell Clinical Research Center, National Joint Engineering Laboratory, Regenerative Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian, China
- Dalian Innovation Institute of Stem Cell and Precision Medicine, Dalian, China
| | - Fengyu Cong
- School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, China
- Faculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland
| | - Ying Li
- Stem Cell Clinical Research Center, National Joint Engineering Laboratory, Regenerative Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian, China
- Dalian Innovation Institute of Stem Cell and Precision Medicine, Dalian, China
| | - Jing Liu
- Stem Cell Clinical Research Center, National Joint Engineering Laboratory, Regenerative Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian, China
- Dalian Innovation Institute of Stem Cell and Precision Medicine, Dalian, China
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Solé‐Guardia G, Li H, Willemse L, Lebenberg J, Jouvent E, Tuladhar AM. Imaging brain fluid dynamics and waste clearance involving perivascular spaces in cerebral small vessel disease. Alzheimers Dement 2025; 21:e70212. [PMID: 40289686 PMCID: PMC12034940 DOI: 10.1002/alz.70212] [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: 12/19/2024] [Revised: 03/24/2025] [Accepted: 03/29/2025] [Indexed: 04/30/2025]
Abstract
Cerebral small vessel disease (SVD) is recognized as a major vascular contributor to cognitive decline, ultimately leading to dementia and stroke. While the pathogenesis of SVD remains unclear, emerging evidence suggests that waste clearance involving perivascular space (PVS) - also known as the glymphatic system - dysfunction may play a role. Among SVD radiological markers, the increased presence of dilated PVS is recognized as a marker of waste clearance disruption. Recently developed neuroimaging methods have been proposed as indirect measures of brain fluid dynamics, but they currently lack formal validation. Here, we provide a comprehensive overview of the latest neuroimaging advancements for assessing brain fluid dynamics, including waste clearance involving PVS function in SVD. We review the mechanisms by which clearance dysfunction might contribute to SVD. Finally, we argue that robust, multimodal, and longitudinal studies are essential for understanding the waste clearance (involving PVS) function and for establishing a diagnostic gold standard. HIGHLIGHTS: The majority of PVS are not visible on MRI, making it crucial to understand how and why they become dilated. The origin of waste clearance involving PVS disruption in SVD may be multifactorial. The BBB and waste clearance (involving PVS) dysfunction likely affect each other, forming a vicious cycle, promoting further amyloid beta accumulation. Yet their direct association in humans over time remains to be studied. Comparative studies can aid in the standardization of methods for assessing waste clearance involving PVS function.
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Affiliation(s)
- Gemma Solé‐Guardia
- Department of NeurologyResearch Institute for Medical InnovationRadboud University Medical CenterDonders Institute for BrainCognition and BehaviorCenter for Medical NeuroscienceNijmegenthe Netherlands
- Department of Medical Imaging, AnatomyResearch Institute for Medical InnovationRadboud University Medical CenterDonders Institute for BrainCognition and BehaviorCenter for Medical NeurosciencePreclinical Imaging Center PRIMERadboud Alzheimer CenterNijmegenthe Netherlands
| | - Hao Li
- Department of NeurologyResearch Institute for Medical InnovationRadboud University Medical CenterDonders Institute for BrainCognition and BehaviorCenter for Medical NeuroscienceNijmegenthe Netherlands
| | - Luc Willemse
- Department of NeurologyResearch Institute for Medical InnovationRadboud University Medical CenterDonders Institute for BrainCognition and BehaviorCenter for Medical NeuroscienceNijmegenthe Netherlands
| | - Jessica Lebenberg
- Department of NeurologyAPHPLariboisière HospitalParisFrance
- FHU NeuroVascUniversité Paris CitéParisFrance
- INSERM UMR1141, NeuroDiderotParisFrance
| | - Eric Jouvent
- Department of NeurologyAPHPLariboisière HospitalParisFrance
- FHU NeuroVascUniversité Paris CitéParisFrance
- INSERM UMR1141, NeuroDiderotParisFrance
| | - Anil Man Tuladhar
- Department of NeurologyResearch Institute for Medical InnovationRadboud University Medical CenterDonders Institute for BrainCognition and BehaviorCenter for Medical NeuroscienceNijmegenthe Netherlands
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Zhou K, Peng S, Yao G, Luo Y, Li Q, Huang Y, Zhang Q, Deng L, Song Z, Wang W, Liu D, Liu Y. Association between glymphatic dysfunction and neurocognitive decline in patients with frontal lobe epilepsy. Quant Imaging Med Surg 2024; 14:6745-6755. [PMID: 39281134 PMCID: PMC11400664 DOI: 10.21037/qims-24-375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 07/31/2024] [Indexed: 09/18/2024]
Abstract
Background The glymphatic system is essential for the maintenance of brain homeostasis. It may be impaired in patients with epilepsy, but its association with neurocognitive function remains unknown. In this study, we aimed to elucidate the association between changes in the glymphatic system and neurocognitive function in individuals diagnosed with frontal lobe epilepsy (FLE). Methods This retrospective case-control research engaged a group of patients with FLE and age-, sex-, and education-matched healthy volunteers. All participants were subjected to extensive neurocognitive assessments, complemented by structural and diffusion-weighted imaging. The "diffusion tensor imaging analysis along the perivascular space" (DTI-ALPS) index was computed to ascertain differences in glymphatic system function between the groups. Univariate and multivariate analyses were conducted to explore associations between DTI-ALPS, clinical characteristics in patients with FLE, and the neurocognitive test outcomes for both groups. Results Twenty-five patients [mean age ± standard deviation (SD): 26.28±8.12 years, 10 females] with FLE and 22 healthy control (HC) participants (average age ± SD: 25.86±6.15 years, 11 females) were included. The average ALPS-index in FLE group was significantly lower than that in HC group (1.387±0.127 vs. 1.468±0.114, P=0.026). Further, significant neurocognitive difference was noted in Trail Making Test (TMT), Stroop Color and Word Test (SCWT), Digit Span Test (DST) and similarity test (ST) between the two groups. ALPS-index scores exhibited a negative correlation with disease duration in patients with FLE (r=-0.415, P=0.039), and positive correlations with the Forward Digit Span Test (FDST, r=0.399, P=0.005) and Similarity Test (ST, r=0.395, P=0.006) in both groups. After adjusting for potential confounders, DTI-ALPS maintained a significant independent association with FDST and ST. Conclusions The findings of the current study suggest a possible association between impairment in glymphatic function and FLE. Furthermore, results indicate that glymphatic dysfunction, as assessed via DTI-ALPS index, appears to be related to neurocognitive decline in FLE.
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Affiliation(s)
- Keyang Zhou
- Department of Radiology, the Third Xiangya Hospital, Central South University, Changsha, China
- Department of Radiology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China
| | - Song Peng
- Department of Radiology, the Third Xiangya Hospital, Central South University, Changsha, China
| | - Guang Yao
- Department of Neurology, the Third Xiangya Hospital, Central South University, Changsha, China
- Department of Neurology, the Fourth Hospital of Changsha City, Changsha, China
| | - Yu Luo
- Department of Radiology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Quanji Li
- Department of Neurology, the Third Xiangya Hospital, Central South University, Changsha, China
| | - Yunchen Huang
- Department of Radiology, the Third Xiangya Hospital, Central South University, Changsha, China
| | - Qingxia Zhang
- Department of Neurology, the Third Xiangya Hospital, Central South University, Changsha, China
| | - Lingling Deng
- Department of Radiology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China
| | - Zhi Song
- Department of Neurology, the Third Xiangya Hospital, Central South University, Changsha, China
| | - Wei Wang
- Department of Radiology, the Third Xiangya Hospital, Central South University, Changsha, China
| | - Ding Liu
- Department of Neurology, the Third Xiangya Hospital, Central South University, Changsha, China
| | - Yin Liu
- Department of Radiology, the Third Xiangya Hospital, Central South University, Changsha, China
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Sacchi L, D'Agata F, Campisi C, Arcaro M, Carandini T, Örzsik B, Dal Maschio VP, Fenoglio C, Pietroboni AM, Ghezzi L, Serpente M, Pintus M, Conte G, Triulzi F, Lopiano L, Galimberti D, Cercignani M, Bozzali M, Arighi A. A "glympse" into neurodegeneration: Diffusion MRI and cerebrospinal fluid aquaporin-4 for the assessment of glymphatic system in Alzheimer's disease and other dementias. Hum Brain Mapp 2024; 45:e26805. [PMID: 39185685 PMCID: PMC11345637 DOI: 10.1002/hbm.26805] [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: 02/03/2024] [Revised: 06/17/2024] [Accepted: 07/17/2024] [Indexed: 08/27/2024] Open
Abstract
The glymphatic system (GS) is a whole-brain perivascular network, consisting of three compartments: the periarterial and perivenous spaces and the interposed brain parenchyma. GS dysfunction has been implicated in neurodegenerative diseases, particularly Alzheimer's disease (AD). So far, comprehensive research on GS in humans has been limited by the absence of easily accessible biomarkers. Recently, promising non-invasive methods based on magnetic resonance imaging (MRI) along with aquaporin-4 (AQP4) quantification in the cerebrospinal fluid (CSF) were introduced for an indirect assessment of each of the three GS compartments. We recruited 111 consecutive subjects presenting with symptoms suggestive of degenerative cognitive decline, who underwent 3 T MRI scanning including multi-shell diffusion-weighted images. Forty nine out of 111 also underwent CSF examination with quantification of CSF-AQP4. CSF-AQP4 levels and MRI measures-including perivascular spaces (PVS) counts and volume fraction (PVSVF), white matter free water fraction (FW-WM) and mean kurtosis (MK-WM), diffusion tensor imaging analysis along the perivascular spaces (DTI-ALPS) (mean, left and right)-were compared among patients with AD (n = 47) and other neurodegenerative diseases (nAD = 24), patients with stable mild cognitive impairment (MCI = 17) and cognitively unimpaired (CU = 23) elderly people. Two runs of analysis were conducted, the first including all patients; the second after dividing both nAD and AD patients into two subgroups based on gray matter atrophy as a proxy of disease stage. Age, sex, years of education, and scanning time were included as confounding factors in the analyses. Considering the whole cohort, patients with AD showed significantly higher levels of CSF-AQP4 (exp(b) = 2.05, p = .005) and FW-WM FW-WM (exp(b) = 1.06, p = .043) than CU. AQP4 levels were also significantly higher in nAD in respect to CU (exp(b) = 2.98, p < .001). CSF-AQP4 and FW-WM were significantly higher in both less atrophic AD (exp(b) = 2.20, p = .006; exp(b) = 1.08, p = .019, respectively) and nAD patients (exp(b) = 2.66, p = .002; exp(b) = 1.10, p = .019, respectively) compared to CU subjects. Higher total (exp(b) = 1.59, p = .013) and centrum semiovale PVS counts (exp(b) = 1.89, p = .016), total (exp(b) = 1.50, p = .036) and WM PVSVF (exp(b) = 1.89, p = .005) together with lower MK-WM (exp(b) = 0.94, p = .006), mean and left ALPS (exp(b) = 0.91, p = .043; exp(b) = 0.88, p = .010 respectively) were observed in more atrophic AD patients in respect to CU. In addition, more atrophic nAD patients exhibited higher levels of AQP4 (exp(b) = 3.39, p = .002) than CU. Our results indicate significant changes in putative MRI biomarkers of GS and CSF-AQP4 levels in AD and in other neurodegenerative dementias, suggesting a close interaction between glymphatic dysfunction and neurodegeneration, particularly in the case of AD. However, the usefulness of some of these biomarkers as indirect and standalone indices of glymphatic activity may be hindered by their dependence on disease stage and structural brain damage.
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Affiliation(s)
- Luca Sacchi
- Department of Biomedical, Surgical and Dental SciencesUniversity of MilanMilanItaly
| | - Federico D'Agata
- Department of Neurosciences “Rita Levi Montalcini”University of TurinTurinItaly
| | - Corrado Campisi
- Department of Neurosciences “Rita Levi Montalcini”University of TurinTurinItaly
| | - Marina Arcaro
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore PoliclinicoMilanItaly
| | - Tiziana Carandini
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore PoliclinicoMilanItaly
| | - Balázs Örzsik
- Department of RadiologyLeiden University Medical CenterLeidenThe Netherlands
| | - Vera Pacoova Dal Maschio
- Department of Neurosciences “Rita Levi Montalcini”University of TurinTurinItaly
- Neurology 2 Unit, A.O.U. Città della Salute e Della Scienza di TorinoTurinItaly
| | - Chiara Fenoglio
- Department of Biomedical, Surgical and Dental SciencesUniversity of MilanMilanItaly
| | | | - Laura Ghezzi
- Department of Biomedical, Surgical and Dental SciencesUniversity of MilanMilanItaly
| | - Maria Serpente
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore PoliclinicoMilanItaly
| | - Manuela Pintus
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore PoliclinicoMilanItaly
| | - Giorgio Conte
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore PoliclinicoMilanItaly
- Department of Pathophysiology and TransplantationUniversity of MilanMilanItaly
| | - Fabio Triulzi
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore PoliclinicoMilanItaly
- Department of Pathophysiology and TransplantationUniversity of MilanMilanItaly
| | - Leonardo Lopiano
- Department of Neurosciences “Rita Levi Montalcini”University of TurinTurinItaly
- Neurology 2 Unit, A.O.U. Città della Salute e Della Scienza di TorinoTurinItaly
| | - Daniela Galimberti
- Department of Biomedical, Surgical and Dental SciencesUniversity of MilanMilanItaly
| | | | - Marco Bozzali
- Department of Neurosciences “Rita Levi Montalcini”University of TurinTurinItaly
- Neurology 2 Unit, A.O.U. Città della Salute e Della Scienza di TorinoTurinItaly
| | - Andrea Arighi
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore PoliclinicoMilanItaly
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Taoka T, Ito R, Nakamichi R, Nakane T, Kawai H, Naganawa S. Diffusion Tensor Image Analysis ALong the Perivascular Space (DTI-ALPS): Revisiting the Meaning and Significance of the Method. Magn Reson Med Sci 2024; 23:268-290. [PMID: 38569866 PMCID: PMC11234944 DOI: 10.2463/mrms.rev.2023-0175] [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] [Indexed: 04/05/2024] Open
Abstract
More than 5 years have passed since the Diffusion Tensor Image Analysis ALong the Perivascular Space (DTI-ALPS) method was proposed with the intention of evaluating the glymphatic system. This method is handy due to its noninvasiveness, provision of a simple index in a straightforward formula, and the possibility of retrospective analysis. Therefore, the ALPS method was adopted to evaluate the glymphatic system for many disorders in many studies. The purpose of this review is to look back and discuss the ALPS method at this moment.The ALPS-index was found to be an indicator of a number of conditions related to the glymphatic system. Thus, although this was expected in the original report, the results of the ALPS method are often interpreted as uniquely corresponding to the function of the glymphatic system. However, a number of subsequent studies have pointed out the problems on the data interpretation. As they rightly point out, a higher ALPS-index indicates predominant Brownian motion of water molecules in the radial direction at the lateral ventricular body level, no more and no less. Fortunately, the term "ALPS-index" has become common and is now known as a common term by many researchers. Therefore, the ALPS-index should simply be expressed as high or low, and whether it reflects a glymphatic system is better to be discussed carefully. In other words, when a decreased ALPS-index is observed, it should be expressed as "decreased ALPS-index" and not directly as "glymphatic dysfunction". Recently, various methods have been proposed to evaluate the glymphatic system. It has become clear that these methods also do not seem to reflect the entirety of the extremely complex glymphatic system. This means that it would be desirable to use various methods in combination to evaluate the glymphatic system in a comprehensive manner.
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Affiliation(s)
- Toshiaki Taoka
- Department of Innovative Biomedical Visualization (iBMV), Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
- Department of Radiology, Nagoya University, Nagoya, Aichi, Japan
| | - Rintaro Ito
- Department of Innovative Biomedical Visualization (iBMV), Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
- Department of Radiology, Nagoya University, Nagoya, Aichi, Japan
| | - Rei Nakamichi
- Department of Radiology, Nagoya University, Nagoya, Aichi, Japan
| | - Toshiki Nakane
- Department of Radiology, Nagoya University, Nagoya, Aichi, Japan
| | - Hisashi Kawai
- Department of Radiology, Aichi Medical University, Nagakute, Aichi, Japan
| | - Shinji Naganawa
- Department of Radiology, Nagoya University, Nagoya, Aichi, Japan
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Xiong Z, Bai M, Wang Z, Wang R, Tian C, Wang L, Nie L, Zeng X. Resting-state fMRI network efficiency as a mediator in the relationship between the glymphatic system and cognitive function in obstructive sleep apnea hypopnea syndrome: Insights from a DTI-ALPS investigation. Sleep Med 2024; 119:250-257. [PMID: 38704873 DOI: 10.1016/j.sleep.2024.05.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 04/15/2024] [Accepted: 05/02/2024] [Indexed: 05/07/2024]
Abstract
INTRODUCTION Obstructive sleep apnea hypopnea syndrome (OSAHS) is associated with cognitive impairment and physiological complications, necessitating further understanding of its mechanisms. This study investigates the relationship between glymphatic system function, brain network efficiency, and cognitive impairment in OSAHS patients using diffusion tensor image analysis along the perivascular space (DTI-ALPS) and resting-state fMRI. MATERIALS AND METHODS This study included 31 OSAHS patients and 34 age- and gender-matched healthy controls (HC). All participants underwent GE 3.0T magnetic resonance imaging (MRI) with diffusion tensor image (DTI) and resting-state fMRI scans. The DTI-ALPS index and brain functional networks were assessed. Differences between groups and correlations with clinical characteristics were analyzed. Additionally, the mediating role of brain network efficiency was explored. Finally, receiver operating characteristics (ROC) analysis assessed diagnostic performance. RESULTS OSAHS patients had significantly lower ALPS-index (1.268 vs. 1.431, p < 0.0001) and moderate negative correlation with Apnea Hypopnea Index (AHI) (r = -0.389, p = 0.031), as well as moderate positive correlation with Montreal Cognitive Assessment (MoCA) (r = 0.525, p = 0.002). Moreover, global efficiency (Eg) of the brain network was positively correlated with the ALPS-index and MoCA scores in OSAHS patients (r = 0.405, p = 0.024; r = 0.56, p = 0.001, respectively). Furthermore, mediation analysis showed that global efficiency partially mediated the impact of glymphatic system dysfunction on cognitive impairment in OSAHS patients (indirect effect = 4.58, mediation effect = 26.9 %). The AUROC for identifying OSAHS and HC was 0.80 (95 % CI 0.69 to 0.91) using an ALPS-index cut-off of 1.35. CONCLUSIONS OSAHS patients exhibit decreased ALPS-index, indicating impaired glymphatic system function. Dysfunction of the glymphatic system can affect cognitive function in OSAHS by disrupting brain functional network, suggesting a potential underlying pathological mechanism. Additionally, preliminary findings suggest that the ALPS-index may offer promise as a potential indicator for OSAHS.
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Affiliation(s)
- Zhenliang Xiong
- Engineering Research Center of Text Computing & Cognitive Intelligence, Ministry of Education, Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province, State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, China; Department of Radiology, Guizhou Provincial People's Hospital, Key Laboratory of Intelligent Medical Imaging Analysis and Accurate Diagnosis of Guizhou Province, International Exemplary Cooperation Base of Precision Imaging for Diagnosis and Treatment, Guiyang, China
| | - Mingxian Bai
- Department of Radiology, Guizhou Provincial People's Hospital, Key Laboratory of Intelligent Medical Imaging Analysis and Accurate Diagnosis of Guizhou Province, International Exemplary Cooperation Base of Precision Imaging for Diagnosis and Treatment, Guiyang, China
| | - Zhongxin Wang
- Department of Pulmonary and Critical Care Medicine, Guizhou Provincial People's Hospital, Guiyang, China
| | - Rongpin Wang
- Department of Radiology, Guizhou Provincial People's Hospital, Key Laboratory of Intelligent Medical Imaging Analysis and Accurate Diagnosis of Guizhou Province, International Exemplary Cooperation Base of Precision Imaging for Diagnosis and Treatment, Guiyang, China
| | - Chong Tian
- Department of Radiology, Guizhou Provincial People's Hospital, Key Laboratory of Intelligent Medical Imaging Analysis and Accurate Diagnosis of Guizhou Province, International Exemplary Cooperation Base of Precision Imaging for Diagnosis and Treatment, Guiyang, China
| | - Lihui Wang
- Engineering Research Center of Text Computing & Cognitive Intelligence, Ministry of Education, Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province, State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, China
| | - Lisha Nie
- GE Healthcare, MR Research China, Beijing, China.
| | - Xianchun Zeng
- Department of Radiology, Guizhou Provincial People's Hospital, Key Laboratory of Intelligent Medical Imaging Analysis and Accurate Diagnosis of Guizhou Province, International Exemplary Cooperation Base of Precision Imaging for Diagnosis and Treatment, Guiyang, China.
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Drenthen GS, Elschot EP, van der Knaap N, Uher D, Voorter PHM, Backes WH, Jansen JFA, van der Thiel MM. Imaging Interstitial Fluid With MRI: A Narrative Review on the Associations of Altered Interstitial Fluid With Vascular and Neurodegenerative Abnormalities. J Magn Reson Imaging 2024; 60:40-53. [PMID: 37823526 DOI: 10.1002/jmri.29056] [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: 07/14/2023] [Revised: 09/27/2023] [Accepted: 09/27/2023] [Indexed: 10/13/2023] Open
Abstract
Interstitial fluid (ISF) refers to the fluid between the parenchymal cells and along the perivascular spaces (PVS). ISF plays a crucial role in delivering nutrients and clearing waste products from the brain. This narrative review focuses on the use of MRI techniques to measure various ISF characteristics in humans. The complementary value of contrast-enhanced and noncontrast-enhanced techniques is highlighted. While contrast-enhanced MRI methods allow measurement of ISF transport and flow, they lack quantitative assessment of ISF properties. Noninvasive MRI techniques, including multi-b-value diffusion imaging, free-water-imaging, T2-decay imaging, and DTI along the PVS, offer promising alternatives to derive ISF measures, such as ISF volume and diffusivity. The emerging role of these MRI techniques in investigating ISF alterations in neurodegenerative diseases (eg, Alzheimer's disease and Parkinson's disease) and cerebrovascular diseases (eg, cerebral small vessel disease and stroke) is discussed. This review also emphasizes current challenges of ISF imaging, such as the microscopic scale at which ISF has to be measured, and discusses potential focus points for future research to overcome these challenges, for example, the use of high-resolution imaging techniques. Noninvasive MRI methods for measuring ISF characteristics hold significant potential and may have a high clinical impact in understanding the pathophysiology of neurodegenerative and cerebrovascular disorders, as well as in evaluating the efficacy of ISF-targeted therapies in clinical trials. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Gerhard S Drenthen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Elles P Elschot
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Noa van der Knaap
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Daniel Uher
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Neurosurgery, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Paulien H M Voorter
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Walter H Backes
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Jacobus F A Jansen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Merel M van der Thiel
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands
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9
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Hong H, Tozer DJ, Markus HS. Relationship of Perivascular Space Markers With Incident Dementia in Cerebral Small Vessel Disease. Stroke 2024; 55:1032-1040. [PMID: 38465597 PMCID: PMC10962441 DOI: 10.1161/strokeaha.123.045857] [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: 11/14/2023] [Revised: 02/02/2024] [Accepted: 02/13/2024] [Indexed: 03/12/2024]
Abstract
BACKGROUND Recent studies, using diffusion tensor image analysis along the perivascular space (DTI-ALPS), suggest impaired perivascular space (PVS) function in cerebral small vessel disease, but they were cross-sectional, making inferences on causality difficult. We determined associations between impaired PVS, measured using DTI-ALPS and PVS volume, and cognition and incident dementia. METHODS In patients with lacunar stroke and confluent white matter hyperintensities, without dementia at baseline, recruited prospectively in a single center, magnetic resonance imaging was performed annually for 3 years, and cognitive assessments, including global, memory, executive function, and processing speed, were performed annually for 5 years. We determined associations between DTI-ALPS and PVS volume with cerebral small vessel disease imaging markers (white matter hyperintensity volume, lacunes, and microbleeds) at baseline and with changes in imaging markers. We determined whether DTI-ALPS and PVS volume at baseline and change over 3 years predicted incident dementia. Analyses were controlled for conventional diffusion tensor image metrics using 2 markers (median mean diffusivity [MD] and peak width of skeletonized MD) and adjusted for age, sex, and vascular risk factors. RESULTS A total of 120 patients, mean age 70.0 years and 65.0% male, were included. DTI-ALPS declined over 3 years, while no change in PVS volume was found. Neither DTI-ALPS nor PVS volume was associated with cerebral small vessel disease imaging marker progression. Baseline DTI-ALPS was associated with changes in global cognition (β=0.142, P=0.032), executive function (β=0.287, P=0.027), and long-term memory (β=0.228, P=0.027). Higher DTI-ALPS at baseline predicted a lower risk of dementia (hazard ratio, 0.328 [0.183-0.588]; P<0.001), and this remained significant after including median MD as a covariate (hazard ratio, 0.290 [0.139-0.602]; P<0.001). Change in DTI-ALPS predicted dementia conversion (hazard ratio, 0.630 [0.428-0.964]; P=0.048), but when peak width of skeletonized MD and median MD were entered as covariates, the association was not significant. There was no association between baseline PVS volume, or PVS change over 3 years, and conversion to dementia. CONCLUSIONS DTI-ALPS predicts future dementia risk in patients with lacunar strokes and confluent white matter hyperintensities. However, the weakening of the association between change in DTI-ALPS and incident dementia after controlling for peak width of skeletonized MD and median MD suggests part of the signal may represent conventional diffusion tensor image metrics. PVS volume is not a predictor of future dementia risk.
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Affiliation(s)
- Hui Hong
- Department of Clinical Neurosciences, University of Cambridge, United Kingdom (H.H., D.J.T., H.S.M.)
- Department of Radiology, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China (H.H.)
| | - Daniel J. Tozer
- Department of Clinical Neurosciences, University of Cambridge, United Kingdom (H.H., D.J.T., H.S.M.)
| | - Hugh S. Markus
- Department of Clinical Neurosciences, University of Cambridge, United Kingdom (H.H., D.J.T., H.S.M.)
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10
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Cai Y, Zhang Y, Leng S, Ma Y, Jiang Q, Wen Q, Ju S, Hu J. The relationship between inflammation, impaired glymphatic system, and neurodegenerative disorders: A vicious cycle. Neurobiol Dis 2024; 192:106426. [PMID: 38331353 DOI: 10.1016/j.nbd.2024.106426] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 01/16/2024] [Accepted: 01/28/2024] [Indexed: 02/10/2024] Open
Abstract
The term "glymphatic" emerged roughly a decade ago, marking a pivotal point in neuroscience research. The glymphatic system, a glial-dependent perivascular network distributed throughout the brain, has since become a focal point of investigation. There is increasing evidence suggesting that impairment of the glymphatic system appears to be a common feature of neurodegenerative disorders, and this impairment exacerbates as disease progression. Nevertheless, the common factors contributing to glymphatic system dysfunction across most neurodegenerative disorders remain unclear. Inflammation, however, is suspected to play a pivotal role. Dysfunction of the glymphatic system can lead to a significant accumulation of protein and waste products, which can trigger inflammation. The interaction between the glymphatic system and inflammation appears to be cyclical and potentially synergistic. Yet, current research is limited, and there is a lack of comprehensive models explaining this association. In this perspective review, we propose a novel model suggesting that inflammation, impaired glymphatic function, and neurodegenerative disorders interconnected in a vicious cycle. By presenting experimental evidence from the existing literature, we aim to demonstrate that: (1) inflammation aggravates glymphatic system dysfunction, (2) the impaired glymphatic system exacerbated neurodegenerative disorders progression, (3) neurodegenerative disorders progression promotes inflammation. Finally, the implication of proposed model is discussed.
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Affiliation(s)
- Yu Cai
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China
| | - Yangqiqi Zhang
- School of Medicine, Southeast University, Nanjing 210009, China
| | - Shuo Leng
- Center of Interventional Radiology and Vascular Surgery, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, 87 Dingjiaqiao Road, Nanjing 210009, China
| | - Yuanyuan Ma
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China
| | - Quan Jiang
- Department of Neurology, Henry Ford Health System, 2799 W Grand Blvd, Detroit, MI 48202, USA
| | - Qiuting Wen
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 355 W.16th Street, Indianapolis, IN 46202-5188, USA
| | - Shenghong Ju
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China.
| | - Jiani Hu
- Department of Radiology, School of Medicine, Wayne State University, Detroit, MI 48201, USA.
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11
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Voorter PHM, van Dinther M, Jansen WJ, Postma AA, Staals J, Jansen JFA, van Oostenbrugge RJ, van der Thiel MM, Backes WH. Blood-Brain Barrier Disruption and Perivascular Spaces in Small Vessel Disease and Neurodegenerative Diseases: A Review on MRI Methods and Insights. J Magn Reson Imaging 2024; 59:397-411. [PMID: 37658640 DOI: 10.1002/jmri.28989] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 08/17/2023] [Accepted: 08/17/2023] [Indexed: 09/03/2023] Open
Abstract
Perivascular spaces (PVS) and blood-brain barrier (BBB) disruption are two key features of cerebral small vessel disease (cSVD) and neurodegenerative diseases that have been linked to cognitive impairment and are involved in the cerebral waste clearance system. Magnetic resonance imaging (MRI) offers the possibility to study these pathophysiological processes noninvasively in vivo. This educational review provides an overview of the MRI techniques used to assess PVS functionality and BBB disruption. MRI-visible PVS can be scored on structural images by either (subjectively) counting or (automatically) delineating the PVS. We highlight emerging (diffusion) techniques to measure proxies of perivascular fluid and its movement, which may provide a more comprehensive understanding of the role of PVS in diseases. For the measurement of BBB disruption, we explain the most commonly used MRI technique, dynamic contrast-enhanced (DCE) MRI, as well as a more recently developed technique based on arterial spin labeling (ASL). DCE MRI and ASL are thought to measure complementary characteristics of the BBB. Furthermore, we describe clinical studies that have utilized these MRI techniques in cSVD and neurodegenerative diseases, particularly Alzheimer's disease (AD). These studies demonstrate the role of PVS and BBB dysfunction in these diseases and provide insight into the large overlap, but also into the differences between cSVD and AD. Overall, MRI techniques may provide valuable insights into the pathophysiological mechanisms underlying these diseases and have the potential to be used as markers for disease progression and treatment response. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Paulien H M Voorter
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Maud van Dinther
- School for Cardiovascular Disease, Maastricht University, Maastricht, the Netherlands
- Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Willemijn J Jansen
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, Maastricht University, Maastricht, the Netherlands
| | - Alida A Postma
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Julie Staals
- School for Cardiovascular Disease, Maastricht University, Maastricht, the Netherlands
- Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Jacobus F A Jansen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Robert J van Oostenbrugge
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
- School for Cardiovascular Disease, Maastricht University, Maastricht, the Netherlands
- Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Merel M van der Thiel
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, Maastricht University, Maastricht, the Netherlands
| | - Walter H Backes
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
- School for Cardiovascular Disease, Maastricht University, Maastricht, the Netherlands
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12
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Wang S, Sun S, Liu H, Huang Q. Research progress in the evaluation of glymphatic system function by the DTI-ALPS method. ZHONG NAN DA XUE XUE BAO. YI XUE BAN = JOURNAL OF CENTRAL SOUTH UNIVERSITY. MEDICAL SCIENCES 2023; 48:1260-1266. [PMID: 37875367 PMCID: PMC10930843 DOI: 10.11817/j.issn.1672-7347.2023.230091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Indexed: 10/26/2023]
Abstract
The glymphatic system can remove metabolic wastes from the brain, which plays a significant role in maintaining the homeostasis of the central nervous system. It is an important basis for advanced cognitive functions such as learning and memory. Studies have analyzed the function of glymphatic system by diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) recently. Compared with other invasive examinations that require fluorescent tracer technique or the injection of contrast agents, DTI-ALPS can evaluate the hydromechanics of the glymphatic system via quantifying the diffusion rate of water molecules in different directions, which turns out to be a non-invasive in vivo neuroimaging method. The ALPS-index calculated by the DTI-ALPS method is significantly correlated with the cognitive function in diseases of central nervous system and other system and can reflect the dynamic changes of diseases. In general, ALPS-index is expected to become a novel neuroimaging biomarker for predicting prognosis and clinical effects.
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Affiliation(s)
- Song Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008.
- Hunan Clinical Research Center for Cerebrovascular Diseases, Changsha 410008.
| | - Shanyi Sun
- Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008
- Hunan Clinical Research Center for Cerebrovascular Diseases, Changsha 410008
| | - Hui Liu
- Department of Radiology, Xiangya Hospital, Central South University, Changsha 410008
| | - Qing Huang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008.
- Hunan Clinical Research Center for Cerebrovascular Diseases, Changsha 410008.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha 410008, China.
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