Abstract
Objectives
To investigate glymphatic function in Alzheimer’s disease (AD) using the diffusion tensor image analysis along the perivascular space (DTI-ALPS) method and to explore the associations between DTI-ALPS index and perivascular space (PVS) volume, as well as between DTI-ALPS index and cognitive function.
Methods
Thirty patients with PET-CT-confirmed AD (15 AD dementia; 15 mild cognitive impairment due to AD) and 26 age- and sex-matched cognitively normal controls (NCs) were included in this study. All participants underwent neurological MRI and cognitive assessments. Bilateral DTI-ALPS indices were calculated. PVS volume fractions were quantitatively measured at three locations: basal ganglia (BG), centrum semiovale, and lateral ventricle body level. DTI-ALPS index and PVS volume fractions were compared among three groups; correlations among the DTI-ALPS index, PVS volume fraction, and cognitive scales were analyzed.
Results
Patients with AD dementia showed a significantly lower DTI-ALPS index in the whole brain (p = 0.009) and in the left hemisphere (p = 0.012) compared with NCs. The BG-PVS volume fraction in patients with AD was significantly larger than the fraction in NCs (p = 0.045); it was also negatively correlated with the DTI-ALPS index (r = − 0.433, p = 0.021). Lower DTI-ALPS index was correlated with worse performance in the Boston Naming Test (β = 0.515, p = 0.008), Trail Making Test A (β = − 0.391, p = 0.048), and Digit Span Test (β = 0.408, p = 0.038).
Conclusions
The lower DTI-ALPS index was found in patients with AD dementia, which may suggest impaired glymphatic system function. DTI-ALPS index was correlated with BG-PVS enlargement and worse cognitive performance in certain cognitive domains.
Clinical relevance statement
Diffusion tensor image analysis along the perivascular space index may be applied as a useful indicator to evaluate the glymphatic system function. The impaired glymphatic system in patients with Alzheimer’s disease (AD) dementia may provide a new perspective for understanding the pathophysiology of AD.
Key Points
• Patients with Alzheimer’s disease dementia displayed a lower diffusion tensor image analysis along the perivascular space (DTI-ALPS) index, possibly indicating glymphatic impairment.
• A lower DTI-ALPS index was associated with the enlargement of perivascular space and cognitive impairment.
• DTI-ALPS index could be a promising biomarker of the glymphatic system in Alzheimer’s disease dementia.





Similar content being viewed by others
Abbreviations
- AD:
-
Alzheimer’s disease
- ANOVA:
-
Analysis of variance
- AQ:
-
The Alzheimer’s Questionnaire
- BG:
-
Basal ganglia
- BNT:
-
Boston Naming Test
- CDR:
-
Clinical Dementia Rating
- CDT:
-
Clock Drawing Test
- CI:
-
Confidence interval
- CSO:
-
Centrum semiovale
- DST:
-
Digit Span Test
- DTI-ALPS:
-
Diffusion tensor image analysis along the perivascular space
- IQR:
-
Interquartile range
- LVB:
-
Lateral ventricle body
- MCI:
-
Mild cognitive impairment
- MMSE:
-
Mini-Mental State Examination
- MoCA:
-
Montreal Cognitive Assessment
- NC:
-
Normal control
- NPI:
-
Neuropsychiatric Inventory
- PVS:
-
Perivascular space
- RAVLT:
-
Rey Auditory Verbal Learning Test
- ROI:
-
Region of interest
- SDMT:
-
Symbol Digit Modalities Test
- TMT :
-
Trail Making Test
References
Alzheimer’s Disease International, McGill University (2021) World Alzheimer’s Report 2021: Journey through the diagnosis of dementia. https://www.alzint.org/resource/world-alzheimer-report-2021/. Accessed 19 Aug 2022
Musiek ES, Holtzman DM (2015) Three dimensions of the amyloid hypothesis: time, space and ‘wingmen.’ Nat Neurosci 18:800–806
Tarasoff-Conway JM, Carare RO, Osorio RS et al (2015) Clearance systems in the brain-implications for Alzheimer disease. Nat Rev Neurol 11:457–470
Iliff JJ, Wang M, Liao Y et al (2012) A paravascular pathway facilitates CSF flow through the brain parenchyma and the clearance of interstitial solutes, including amyloid β. Sci Transl Med 4:147ra111
Peng W, Achariyar TM, Li B et al (2016) Suppression of glymphatic fluid transport in a mouse model of Alzheimer’s disease. Neurobiol Dis 93:215–225
Xu Z, Xiao N, Chen Y et al (2015) Deletion of aquaporin-4 in APP/PS1 mice exacerbates brain Aβ accumulation and memory deficits. Mol Neurodegener 10:58
Harrison IF, Ismail O, Machhada A et al (2020) Impaired glymphatic function and clearance of tau in an Alzheimer’s disease model. Brain 143:2576–2593
Klostranec JM, Vucevic D, Bhatia KD et al (2021) Current concepts in intracranial interstitial fluid transport and the glymphatic System: Part II-Imaging Techniques and Clinical Applications. Radiology 301:516–532
Taoka T, Masutani Y, Kawai H et al (2017) Evaluation of glymphatic system activity with the diffusion MR technique: diffusion tensor image analysis along the perivascular space (DTI-ALPS) in Alzheimer’s disease cases. Jpn J Radiol 35:172–178
Ma X, Li S, Li C et al (2021) Diffusion tensor imaging along the perivascular space index in different stages of Parkinson’s disease. Front Aging Neurosci 13:773951
Chen HL, Chen PC, Lu CH et al (2021) Associations among cognitive functions, plasma DNA, and diffusion tensor image along the perivascular space (DTI-ALPS) in patients with Parkinson’s disease. Oxid Med Cell Longev 2021:4034509
Carotenuto A, Cacciaguerra L, Pagani E, Preziosa P, Filippi M, Rocca MA (2021) Glymphatic system impairment in multiple sclerosis: relation with brain damage and disability. Brain 145:2785–2795
Steward CE, Venkatraman VK, Lui E et al (2021) Assessment of the DTI-ALPS parameter along the perivascular space in older adults at risk of dementia. J Neuroimaging 31:569–578
Gertje EC, van Westen D, Panizo C, Mattsson-Carlgren N, Hansson O (2021) Association of enlarged perivascular spaces and measures of small vessel and Alzheimer disease. Neurology 96:e193–e202
Banerjee G, Kim HJ, Fox Z et al (2017) MRI-visible perivascular space location is associated with Alzheimer’s disease independently of amyloid burden. Brain 140:1107–1116
Ramirez J, Berezuk C, McNeely AA, Scott CJ, Gao F, Black SE (2015) Visible Virchow-Robin spaces on magnetic resonance imaging of Alzheimer’s disease patients and normal elderly from the Sunnybrook Dementia Study. J Alzheimers Dis 43:415–424
Morris JC (1993) The Clinical Dementia Rating (CDR): current version and scoring rules. Neurology 43:2412–2414
Sepehrband F, Barisano G, Sheikh-Bahaei N et al (2021) Volumetric distribution of perivascular space in relation to mild cognitive impairment. Neurobiol Aging 99:28–43
Lezak MD (1983) Neuropsychological Assessment, 2nd edn. Oxford University Press, New York
Tombaugh TN (2004) Trail Making Test A and B: normative data stratified by age and education. Arch Clin Neuropsychol 19:203–214
Talwar NA, Churchill NW, Hird MA et al (2019) The neural correlates of the clock-drawing test in healthy aging. Front In Hum Neurosci 13:25
Williams BW, Mack W, Henderson VW (1989) Boston naming test in Alzheimer’s disease. Neuropsychologia 27:1073–1079
Wechsler D (1997) Wechsler adult intelligence scale, 3rd edn. The Psychological Corporation, San Antonio
Smith A (1982) Symbol Digit Modalities Test (SDMT) Manual (revised). Western Psychological Services, Los Angeles
Cummings JL, Mega M, Gray K, Rosenberg-Thompson S, Carusi DA, Gornbein J (1994) The Neuropsychiatric Inventory: comprehensive assessment of psychopathology in dementia. Neurology 44:2308–2314
Xie L, Kang H, Xu Q et al (2013) Sleep drives metabolite clearance from the adult brain. Science 342:373–377
Zhang W, Zhou Y, Wang J et al (2021) Glymphatic clearance function in patients with cerebral small vessel disease. Neuroimage 238:118257
Irfanoglu MO, Nayak A, Jenkins J, Pierpaoli C (2017) TORTOISEv3:Improvements and New Features of the NIH Diffusion MRI Processing Pipeline, ISMRM 25th annual meeting, Honolulu, HI, abstract #3540, https://tortoise.nibib.nih.gov/sites/default/files/inline-files/3540_1.pdf. Accessed 11 May 2022
Pierpaoli C, Walker L, Irfanoglu MO, et al (2010) TORTOISE: an integrated software package for processing of diffusion MRI data, ISMRM 18th annual meeting, Stockholm, Sweden, abstract #1597, https://tortoise.nibib.nih.gov/sites/default/files/inline-files/tortoise_ismrm_2010.pdf. Accessed 11 May 2022
Potter GM, Chappell FM, Morris Z, Wardlaw JM (2015) Cerebral perivascular spaces visible on magnetic resonance imaging: development of a qualitative rating scale and its observer reliability. Cerebrovasc Dis 39:224–231
Shen T, Yue Y, Zhao S et al (2021) The role of brain perivascular space burden in early-stage Parkinson’s disease. NPJ Parkinsons Dis 7:12
Zhang Y, Zhang R, Ye Y et al (2021) The influence of demographics and vascular risk factors on glymphatic function measured by diffusion along perivascular space. Front Aging Neurosci 13:693787
Yakushiji Y, Charidimou A, Hara M et al (2014) Topography and associations of perivascular spaces in healthy adults: the Kashima scan study. Neurology 83:2116–2123
Gutierrez J, Rundek T, Ekind MSV, Sacco RL, Wright CB (2013) Perivascular spaces are associated with atherosclerosis: an insight from the Northern Manhattan Study. AJNR Am J Neuroradiol 34:1711–1716
Zhu Y-C, Tzourio C, Soumaré A, Mazoyer B, Dufouil C, Chabriat H (2010) Severity of dilated Virchow-Robin spaces is associated with age, blood pressure, and MRI markers of small vessel disease: a population-based study. Stroke 41:2483–2490
Taoka T, Ito R, Nakamichi R et al (2022) Reproducibility of diffusion tensor image analysis along the perivascular space (DTI-ALPS) for evaluating interstitial fluid diffusivity and glymphatic function: CHanges in Alps index on Multiple conditiON acquIsition eXperiment (CHAMONIX) study. Jpn J Radiol 40:147–158
Ma Q, Ineichen BV, Detmar M, Proulx ST (2017) Outflow of cerebrospinal fluid is predominantly through lymphatic vessels and is reduced in aged mice. Nat Commun 8:1434
Aspelund A, Antila S, Proulx ST et al (2015) A dural lymphatic vascular system that drains brain interstitial fluid and macromolecules. J Exp Med 212:991–999
Weller RO, Hawkes CA, Kalaria RN, Werring DJ, Carare RO (2015) White matter changes in dementia: role of impaired drainage of interstitial fluid. Brain Pathol 25:63–78
Liu H, Yang S, He W et al (2021) associations among diffusion tensor image along the perivascular space (DTI-ALPS), enlarged perivascular space (ePVS), and cognitive functions in asymptomatic patients with carotid plaque. Front Neurol 12:789918
Wardlaw JM, Benveniste H, Nedergaard M et al (2020) Perivascular spaces in the brain: anatomy, physiology and pathology. Nat Rev Neurol 16:137–153
Shams S, Martola J, Charidimou A et al (2017) Topography and determinants of magnetic resonance imaging (MRI)-visible perivascular spaces in a large memory clinic cohort. J Am Heart Assoc 6:e006279
Hughes TM, Kuller LH, Barinas-Mitchell EJ et al (2013) Pulse wave velocity is associated with β-amyloid deposition in the brains of very elderly adults. Neurology 81:1711–1718
Martinez-Ramirez S, Pontes-Neto OM, Dumas AP et al (2013) Topography of dilated perivascular spaces in subjects from a memory clinic cohort. Neurology 80:1551–1556
Paradise M, Crawford JD, Lam BCP et al (2021) Association of dilated perivascular spaces with cognitive decline and incident dementia. Neurology 96:e1501–e1511
Weller RO, Subash M, Preston SD, Mazanti I, Carare RO (2008) Perivascular drainage of amyloid-beta peptides from the brain and its failure in cerebral amyloid angiopathy and Alzheimer’s disease. Brain Pathol 18:253–266
Funding
This study is supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (XDB39000000) and the Beijing Municipal Science and Technology Commission (Grant No. Z181100001518005).
Author information
Authors and Affiliations
Corresponding authors
Ethics declarations
Guarantor
The scientific guarantor of this publication is Binbin Sui.
Conflict of interest
The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.
Statistics and biometry
No complex statistical methods were necessary for this paper.
Informed consent
Written informed consent was obtained from all subjects (patients) in this study.
Ethical approval
Institutional Review Board approval was obtained. The study protocol was approved by the human ethics committee of Beijing Tiantan Hospital (no. KY 2019–004-007).
Study subjects or cohorts overlap
Our study subjects or cohorts have not been previously reported.
Methodology
• Retrospective
• Cross-sectional study
• Performed at one institution
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Xue Zhang and Yue Wang contributed equally to this work as first authors.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Zhang, X., Wang, Y., Jiao, B. et al. Glymphatic system impairment in Alzheimer’s disease: associations with perivascular space volume and cognitive function. Eur Radiol 34, 1314–1323 (2024). https://doi.org/10.1007/s00330-023-10122-3
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00330-023-10122-3