Abstract
Objectives
Whether the alternation of the glymphatic system exists in neurodevelopmental disease still remains unclear. In this study, we investigated structural and functional changes in the glymphatic system in the treatment-naïve attention-deficit/hyperactivity disorder (ADHD) children by quantitatively measuring the Virchow-Robin spaces (VRS) volume and diffusion tensor image-analysis along the perivascular space (DTI-ALPS).
Methods
Forty-seven pediatric ADHD patients and 52 age- and gender-matched typically developing (TD) children were recruited in this prospective study. The VRS volume was calculated using a semi-automated approach in axial T2-weighted images. Diffusivities along the x-, y-, and z-axes in the projection, association, and subcortical neural fiber areas were measured. The ALPS index, a ratio that accentuated water diffusion along the perivascular space, was calculated. The Mann-Whitney U test was used to compare the quantitative parameters; Pearson’s correlation was used to analyze the correlation with clinical symptoms.
Results
The cerebral VRS volume (mean, 15.514 mL vs. 11.702 mL) and the VRS volume ratio in the ADHD group were larger than those in the TD group (all p < 0.001). The diffusivity along the x-axis in association fiber area and ALPS index were significantly smaller in the ADHD group vs. TD group (mean, 1.40 vs.1.59, p < 0.05 after false discovery rate adjustment). Besides, the ALPS index was related to inattention symptoms of ADHD (r = − 0.323, p < 0.05).
Conclusions
Our study suggests that the glymphatic system alternation may participate in the pathogenesis of ADHD, which may be a new research direction for exploring the mechanisms of psycho-behavioral developmental disorders. Moreover, the VRS volume and ALPS index could be used as the metrics for diagnosing ADHD.
Clinical relevance statement
Considering the potential relevance of the glymphatic system for exploring the mechanisms of attention deficit/hyperactivity, the Virchow-Robin spaces volume and the analysis along the perivascular space index could be used as additional metrics for diagnosing the disorder.
Key Points
• Increased Virchow-Robin space volume and decreased analysis along the perivascular space index were found in the treatment-naïve attention-deficit/hyperactivity disorder children.
• The results of this study indicate that the glymphatic system alternation may have a valuable role in the pathogenesis of attention-deficit/hyperactivity disorder.
• The analysis along the perivascular space index is correlated with inattention symptoms of attention-deficit/hyperactivity disorder children.
Similar content being viewed by others
Abbreviations
- AC-PC:
-
Anterior-posterior commissure
- ADHD:
-
Attention-deficit/hyperactivity disorder
- CNS:
-
Central nervous system
- CSF:
-
Cerebrospinal fluid
- DTI-ALPS:
-
Diffusion tensor image-analysis along the perivascular space
- Dxassoc:
-
Diffusivity along the x-axis in association fiber area
- Dxproj:
-
Diffusivity along the x-axis in projection fiber area
- Dxsubc:
-
Diffusivity along the x-axis in subcortical fiber area
- Dyassoc:
-
Diffusivity along the y-axis in association fiber area
- Dyproj:
-
Diffusivity along the y-axis in projection fiber area
- Dysubc:
-
Diffusivity along the y-axis in subcortical fiber area
- Dzassoc:
-
Diffusivity along the z-axis in association fiber area
- Dzproj:
-
Diffusivity along the z-axis in projection fiber area
- Dzsubc:
-
Diffusivity along the z-axis in subcortical fiber area
- FOV:
-
Field of view
- FSE:
-
Fast spin-echo
- ICC:
-
Interclass correlation coefficient
- ICV:
-
Intracranial volume
- ISF:
-
Interstitial fluid
- NEX:
-
Number of excitations
- SWI:
-
Susceptibility-weighted imaging
- T1-FSPGR:
-
T1-weighted fast spoiled gradient recalled echo
- T2WI:
-
T2-weighted imaging
- TD:
-
Typical developing
- TE:
-
Echo time
- TR:
-
Repetition time
- VRS:
-
Virchow-Robin spaces
- WM:
-
White matter
References
Thapar A, Cooper M (2016) Attention deficit hyperactivity disorder. Lancet 387:1240–1250
Thomas R, Sanders S, Doust J, Beller E, Glasziou P (2015) Prevalence of attention-deficit/hyperactivity disorder: a systematic review and meta-analysis. Pediatrics 135:e994-1001
Louveau A, Smirnov I, Keyes TJ et al (2015) Structural and functional features of central nervous system lymphatic vessels. Nature 523:337–341
Rasmussen MK, Mestre H, Nedergaard M (2018) The glymphatic pathway in neurological disorders. Lancet Neurol 17:1016–1024
Mogensen FL, Delle C, Nedergaard M (2021) The glymphatic system (En) during inflammation. Int J Mol Sci 22:7491
Shen MD (2018) Cerebrospinal fluid and the early brain development of autism. J Neurodev Disord 10:39
Vilor-Tejedor N, Alemany S, Forns J et al (2019) Assessment of susceptibility risk factors for ADHD in imaging genetic studies. J Atten Disord 23:671–681
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
Salimeen MSA, Liu C, Li X et al (2021) Exploring variances of white matter integrity and the glymphatic system in simple febrile seizures and epilepsy. Front Neurol 12:595647
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
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
Yang G, Deng N, Liu Y, Gu Y, Yao X (2020) Evaluation of glymphatic system using diffusion MR technique in T2DM cases. Front Hum Neurosci 14:300
Yokota H, Vijayasarathi A, Cekic M et al (2019) Diagnostic performance of glymphatic system evaluation using diffusion tensor imaging in idiopathic normal pressure hydrocephalus and mimickers. Curr Gerontol Geriatr Res 2019:5675014
Wang X, Valdes Hernandez Mdel C, Doubal F et al (2016) Development and initial evaluation of a semi-automatic approach to assess perivascular spaces on conventional magnetic resonance images. J Neurosci Methods 257:34–44
Ballerini L, Lovreglio R, Valdes Hernandez MDC et al (2018) Perivascular spaces segmentation in brain MRI using optimal 3D filtering. Sci Rep 8:2132
Cai K, Tain R, Das S et al (2015) The feasibility of quantitative MRI of perivascular spaces at 7T. J Neurosci Methods 256:151–156
Fischl B (2012) FreeSurfer. Neuroimage 62:774-781
Cui Z, Zhong S, Xu P, He Y, Gong G (2013) PANDA: a pipeline toolbox for analyzing brain diffusion images. Front Hum Neurosci 7:42
Carotenuto A, Cacciaguerra L, Pagani E, Preziosa P, Filippi M, Rocca MA (2022) Glymphatic system impairment in multiple sclerosis: relation with brain damage and disability. Brain 145:2785–2795. https://doi.org/10.1093/brain/awab454
Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J Roy Stat Soc Ser B (Methodol) 57:289–300
Plog BA, Nedergaard M (2018) The glymphatic system in central nervous system health and disease: past, present, and future. Annu Rev Pathol 13:379–394
Bae YJ, Choi BS, Kim JM, Choi JH, Cho SJ, Kim JH (2021) Altered glymphatic system in idiopathic normal pressure hydrocephalus. Parkinsonism Relat Disord 82:56–60
Nedergaard M, Goldman SA (2020) Glymphatic failure as a final common pathway to dementia. Science 370:50–56
Benveniste H, Liu X, Koundal S, Sanggaard S, Lee H, Wardlaw J (2019) The glymphatic system and waste clearance with brain aging: a review. Gerontology 65:106–119
Tripp G, Wickens JR (2009) Neurobiology of ADHD. Neuropharmacology 57:579–589
Jessen NA, Munk AS, Lundgaard I, Nedergaard M (2015) The glymphatic system: a beginner’s guide. Neurochem Res 40:2583–2599
Wisor JP (2019) Dopamine and wakefulness: pharmacology, genetics, and circuitry. Handb Exp Pharmacol 253:321–335
Wynchank D, Bijlenga D, Beekman AT, Kooij JJS, Penninx BW (2017) Adult attention-deficit/hyperactivity disorder (ADHD) and insomnia: an update of the literature. Curr Psychiatry Rep 19:98
Strauss M, Ulke C, Paucke M et al (2018) Brain arousal regulation in adults with attention-deficit/hyperactivity disorder (ADHD). Psychiatry Res 261:102–108
Dunn GA, Nigg JT, Sullivan EL (2019) Neuroinflammation as a risk factor for attention deficit hyperactivity disorder. Pharmacol Biochem Behav 182:22–34
Instanes JT, Halmoy A, Engeland A, Haavik J, Furu K, Klungsoyr K (2017) Attention-deficit/hyperactivity disorder in offspring of mothers with inflammatory and immune system diseases. Biol Psychiatry 81:452–459
Zayats T, Athanasiu L, Sonderby I et al (2015) Genome-wide analysis of attention deficit hyperactivity disorder in Norway. PLoS ONE 10:e0122501
Liddelow SA, Guttenplan KA, Clarke LE et al (2017) Neurotoxic reactive astrocytes are induced by activated microglia. Nature 541:481–487
Rustenhoven J, Drieu A, Mamuladze T et al (2021) Functional characterization of the dural sinuses as a neuroimmune interface. Cell 184(1000–1016):e1027
Naganawa S, Taoka T (2022) The glymphatic system: a review of the challenges in visualizing its structure and function with MR imaging. Magn Reson Med Sci 21:182–194
Acknowledgements
We would like to thank the participants and their families as well as the staff at the MRI in the First Affiliated Hospital of Sun Yat-sen University for making this study possible.
This article has been pre-printed on the Research Square, with the https://doi.org/10.21203/rs.3.rs-1922962/v1.
Funding
This study has received funding from the National Natural Science Foundation of China (grant number 82001439) and the Natural Science Fund Project of Guangdong Province (grant number 2022A1515011910).
Author information
Authors and Affiliations
Corresponding authors
Ethics declarations
Guarantor
The scientific guarantor of this publication is Zhiyun Yang.
Conflict of interest
One of the authors (Long Pian) is an employee of GE Healthcare.
The other 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’ parents in this study.
Ethical approval
This study was approved by the institutional review board of the First Affiliated Hospital of Sun Yat-sen University (No. [2019]328).
Study subjects or cohorts overlap
No study subjects or cohorts have been previously reported.
Methodology
• Prospective
• 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.
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
Chen, Y., Wang, M., Su, S. et al. Assessment of the glymphatic function in children with attention-deficit/hyperactivity disorder. Eur Radiol 34, 1444–1452 (2024). https://doi.org/10.1007/s00330-023-10220-2
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00330-023-10220-2