Perivascular space burden in children with autism spectrum disorder correlates with neurodevelopmental severity
Perivascular space burden in children with autism spectrum disorder correlates with neurodevelopmental severity
Background: cerebral perivascular spaces (PVS) are involved in cerebrospinal fluid (CSF) circulation and clearance of metabolic waste in adult humans. A high number of PVS has been reported in autism spectrum disorder (ASD) but its relationship with CSF and disease severity is unclear.
Purpose: to quantify PVS in children with ASD through MRI.
Study Type: retrospective.
Population: sixty six children with ASD (mean age: 4.7 ± 1.5 years; males/females: 59/7).
Field Strength/Sequence: 3T, 3D T1-weighted GRE and 3D T2-weighted turbo spin echo sequences.
Assessment: PVS were segmented using a weakly supervised PVS algorithm. PVS count, white matter-perivascular spaces (WM-PVStot) and normalized volume (WM-PVSvoln) were analyzed in the entire white matter. Six regions: frontal, parietal, limbic, occipital, temporal, and deep WM (WM-PVSsr). WM, GM, CSF, and extra-axial CSF (eaCSF) volumes were also calculated. Autism Diagnostic Observation Schedule, Wechsler Intelligence Scale, and Griffiths Mental Developmental scales were used to assess clinical severity and developmental quotient (DQ).
Statistical Tests: Kendall correlation analysis (continuous variables) and Friedman (categorical variables) tests were used to compare medians of PVS variables across different WM regions. Post hoc pairwise comparisons with Wilcoxon tests were used to evaluate distributions of PVS in WM regions. Generalized linear models were employed to assess DQ, clinical severity, age, and eaCSF volume in relation to PVS variables. A p-value < 0.05 indicated statistical significance.
Results: severe DQ (β = 0.0089), mild form of autism (β = −0.0174), and larger eaCSF (β = 0.0082) volume was significantly associated with greater WM-PVStot count. WM-PVSvoln was predominantly affected by normalized eaCSF volume (eaCSFvoln) (β = 0.0242; adjusted for WM volumes). The percentage of WM-PVSsr was higher in the frontal areas (32%) and was lowest in the temporal regions (11%).
Data Conclusion: PVS count and volume in ASD are associated with eaCSFvoln. PVS count is related to clinical severity and DQ. PVS count was higher in frontal regions and lower in temporal regions.
Frigerio, Giulia
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Rizzato, Gloria
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Peruzzo, Denis
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Ciceri, Tommaso
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Mani, Elisa
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Lanteri, Fabiola
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Mariani, Valentina
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Molteni, Massimo
65fc0371-633a-4507-85f1-bd0cdee32fae
Agarwal, Nivedita
8dffa34e-17c9-4858-93f9-e3b93915ddda
Frigerio, Giulia
af0b2545-ce05-4a60-99f0-4e09135127a0
Rizzato, Gloria
43641ffb-68ca-4997-9079-58fed53f7763
Peruzzo, Denis
1662a7c7-d885-46a6-bf17-d3d72916a96c
Ciceri, Tommaso
66d294a5-3479-42f9-a2f4-299e1a2c4a5a
Mani, Elisa
2fbd3e53-5b1c-45f8-be09-1665ec8412fb
Lanteri, Fabiola
62ddcc82-4cb2-417f-b251-0ad2f882e1b3
Mariani, Valentina
2d95098a-0e6c-4111-95ba-a781b6cbeb1e
Molteni, Massimo
65fc0371-633a-4507-85f1-bd0cdee32fae
Agarwal, Nivedita
8dffa34e-17c9-4858-93f9-e3b93915ddda
Frigerio, Giulia, Rizzato, Gloria, Peruzzo, Denis, Ciceri, Tommaso, Mani, Elisa, Lanteri, Fabiola, Mariani, Valentina, Molteni, Massimo and Agarwal, Nivedita
(2025)
Perivascular space burden in children with autism spectrum disorder correlates with neurodevelopmental severity.
Journal of Magnetic Resonance Imaging, 62 (5).
(doi:10.1002/jmri.70023).
Abstract
Background: cerebral perivascular spaces (PVS) are involved in cerebrospinal fluid (CSF) circulation and clearance of metabolic waste in adult humans. A high number of PVS has been reported in autism spectrum disorder (ASD) but its relationship with CSF and disease severity is unclear.
Purpose: to quantify PVS in children with ASD through MRI.
Study Type: retrospective.
Population: sixty six children with ASD (mean age: 4.7 ± 1.5 years; males/females: 59/7).
Field Strength/Sequence: 3T, 3D T1-weighted GRE and 3D T2-weighted turbo spin echo sequences.
Assessment: PVS were segmented using a weakly supervised PVS algorithm. PVS count, white matter-perivascular spaces (WM-PVStot) and normalized volume (WM-PVSvoln) were analyzed in the entire white matter. Six regions: frontal, parietal, limbic, occipital, temporal, and deep WM (WM-PVSsr). WM, GM, CSF, and extra-axial CSF (eaCSF) volumes were also calculated. Autism Diagnostic Observation Schedule, Wechsler Intelligence Scale, and Griffiths Mental Developmental scales were used to assess clinical severity and developmental quotient (DQ).
Statistical Tests: Kendall correlation analysis (continuous variables) and Friedman (categorical variables) tests were used to compare medians of PVS variables across different WM regions. Post hoc pairwise comparisons with Wilcoxon tests were used to evaluate distributions of PVS in WM regions. Generalized linear models were employed to assess DQ, clinical severity, age, and eaCSF volume in relation to PVS variables. A p-value < 0.05 indicated statistical significance.
Results: severe DQ (β = 0.0089), mild form of autism (β = −0.0174), and larger eaCSF (β = 0.0082) volume was significantly associated with greater WM-PVStot count. WM-PVSvoln was predominantly affected by normalized eaCSF volume (eaCSFvoln) (β = 0.0242; adjusted for WM volumes). The percentage of WM-PVSsr was higher in the frontal areas (32%) and was lowest in the temporal regions (11%).
Data Conclusion: PVS count and volume in ASD are associated with eaCSFvoln. PVS count is related to clinical severity and DQ. PVS count was higher in frontal regions and lower in temporal regions.
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Magnetic Resonance Imaging - 2025 - Frigerio - Perivascular Space Burden in Children With Autism Spectrum Disorder
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e-pub ahead of print date: 29 June 2025
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Local EPrints ID: 511619
URI: http://eprints.soton.ac.uk/id/eprint/511619
ISSN: 1522-2586
PURE UUID: d2dfe05a-e61c-4c62-941f-e4cd2cd3bcf3
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Date deposited: 26 May 2026 16:32
Last modified: 27 May 2026 02:01
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Author:
Giulia Frigerio
Author:
Gloria Rizzato
Author:
Denis Peruzzo
Author:
Tommaso Ciceri
Author:
Elisa Mani
Author:
Fabiola Lanteri
Author:
Valentina Mariani
Author:
Massimo Molteni
Author:
Nivedita Agarwal
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