Evidence map›Paper›PMID 40581841›Full record

ArticleJournal of magnetic resonance imaging : JMRI2025

Perivascular Space Burden in Children With Autism Spectrum Disorder Correlates With Neurodevelopmental Severity.

Giulia Frigerio, Gloria Rizzato, Denis Peruzzo, Tommaso Ciceri, Elisa Mani, Fabiola Lanteri, Valentina Mariani, Massimo Molteni, Nivedita Agarwal

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Giulia FrigerioDiagnostic Imaging and Neuroradiology Unit, IRCCS Scientific Institute E. Medea, Bosisio Parini, Lecco, Italy.ORCID https://orcid.org/0009-0000-5899-4755
Gloria RizzatoDiagnostic Imaging and Neuroradiology Unit, IRCCS Scientific Institute E. Medea, Bosisio Parini, Lecco, Italy.ORCID https://orcid.org/0009-0009-1650-2279
Denis PeruzzoNeuroimaging Unit, IRCCS Scientific Institute E. Medea, Bosisio Parini, Lecco, Italy.ORCID https://orcid.org/0000-0002-9480-379X
Tommaso CiceriNeuroimaging Unit, IRCCS Scientific Institute E. Medea, Bosisio Parini, Lecco, Italy.
Elisa ManiChild Psychopathology Unit, IRCCS Scientific Institute E. Medea, Bosisio Parini, Lecco, Italy.
Fabiola LanteriChild Psychopathology Unit, IRCCS Scientific Institute E. Medea, Bosisio Parini, Lecco, Italy.
Valentina MarianiChild Psychopathology Unit, IRCCS Scientific Institute E. Medea, Bosisio Parini, Lecco, Italy.
Massimo MolteniChild Psychopathology Unit, IRCCS Scientific Institute E. Medea, Bosisio Parini, Lecco, Italy.
Nivedita AgarwalDiagnostic Imaging and Neuroradiology Unit, IRCCS Scientific Institute E. Medea, Bosisio Parini, Lecco, Italy.ORCID https://orcid.org/0000-0002-1387-9566

Funding

BibliosanMinistero della Salute
6 · The paper itself

Abstract

backgroundCerebral 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-PVS 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.

resultsSevere DQ (β = 0.0089), mild form of autism (β = -0.0174), and larger eaCSF (β = 0.0082) volume was significantly associated with greater WM-PVS DATA

conclusionPVS count and volume in ASD are associated with eaCSF EVIDENCE LEVEL: 4. TECHNICAL EFFICACY: Stage 3.

Indexed as

Autism Spectrum DisorderGlymphatic SystemMagnetic Resonance ImagingAlgorithmsBrainChildChild, PreschoolFemaleHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMaleRetrospective StudiesSeverity of Illness IndexWhite Matterautism spectrum disorderCSF drainagedeep learningneurodevelopmentpediatricperivascular spaces

Identifiers

PMID40581841
PMCPMC12507148

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.