Evidence map›Paper›PMID 40247273›Full record

ArticleBMC medical imaging2025

Assessing neonatal brain glymphatic system development using diffusion tensor imaging along the perivascular space and choroid plexus volume.

Ting Peng, Ying Lin, Xin Xu, Jiaqi Li, Miaoshuang Liu, Chaowei Zhang, Xiaohui Liao, Xiaoshan Ji, Zhongmeng Xiong, Zhuoyang Gu and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. 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

20 authors.

Ting Peng *Department of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, 201102, China.
Ying Lin *Fujian Key Laboratory of Neonatal Diseases, Children's Hospital of Fudan University (Xiamen Branch), Xiamen Children's Hospital, Xiamen, 361006, China.
Xin XuDepartment of Neonatology, Children's Hospital of Fudan University (Xiamen Branch), Xiamen Children's Hospital, Xiamen, 361006, China.
Jiaqi LiDepartment of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, 201102, China.
Miaoshuang LiuDepartment of Neonatology, Children's Hospital of Fudan University (Xiamen Branch), Xiamen Children's Hospital, Xiamen, 361006, China.
Chaowei ZhangDepartment of Neonatology, People's Hospital of Longhua, Shenzhen, 518000, China.
Xiaohui LiaoDepartment of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, 201102, China.
Xiaoshan JiDepartment of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, 201102, China.
Zhongmeng XiongDepartment of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, 201102, China.
Zhuoyang GuSchool of Biomedical Engineering, ShanghaiTech University, Shanghai, 201102, China.
Xinyi CaiSchool of Biomedical Engineering, ShanghaiTech University, Shanghai, 201102, China.
Tianli TaoSchool of Biomedical Engineering, ShanghaiTech University, Shanghai, 201102, China.
Yajuan ZhangSchool of Biomedical Engineering, ShanghaiTech University, Shanghai, 201102, China.
Lixuan ZhuSchool of Biomedical Engineering, ShanghaiTech University, Shanghai, 201102, China.
Deyi ZhuangFujian Key Laboratory of Neonatal Diseases, Children's Hospital of Fudan University (Xiamen Branch), Xiamen Children's Hospital, Xiamen, 361006, China.
Xianghui HuangFujian Key Laboratory of Neonatal Diseases, Children's Hospital of Fudan University (Xiamen Branch), Xiamen Children's Hospital, Xiamen, 361006, China.
Man XiongState Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, 200032, China.
Peng ZhangDepartment of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, 201102, China. pzhang_zp@fudan.edu.cn.
Jungang LiuDepartment of Radiology, Children's Hospital of Fudan University (Xiamen Branch), Xiamen Children's Hospital, Xiamen, 361006, China. jgliu_XMChospital@hotmail.com.
Guoqiang ChengDepartment of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, 201102, China. gqcheng_cm@fudan.edu.cn.

Funding

Key Program of the Xiamen Medical and Health 3502Z20234013the Fujian Provincial Health Commission Science and Technology Plan Project 2021ZQNZD017
6 · The paper itself

Abstract

purposeNeonatal brain development constitutes a critical period of structural and functional maturation underpinning sensory, motor, and cognitive capacities. The glymphatic system-a cerebral waste clearance network-remains poorly understood in neonates. We investigated non-invasive magnetic resonance imaging (MRI) biomarkers of glymphatic system and their developmental correlates in neonates.

methodsIn 117 neonates undergoing high-resolution T1-weighted and diffusion MRI, we quantified two glymphatic metrics: (1) diffusion tensor imaging along the perivascular space (DTI-ALPS) index, reflecting perivascular fluid dynamics; (2) choroid plexus (CP) volume, a cerebrospinal fluid (CSF) production marker. Associations with postmenstrual age (PMA) at MRI scan, gestational age (GA), birth weight (BW), and sex were analyzed using covariate-adjusted models.

resultsPreterm neonates displayed significantly reduced DTI-ALPS indices versus term neonates (total index: 1.01 vs. 1.05, P = 0.002), with reductions persisting after adjustment (P < 0.05). CP volumes showed right-dominant pre-adjustment differences (preterm: 0.33 vs. term: 0.39, P = 0.039) that attenuated post-adjustment (P = 0.348). DTI-ALPS indices demonstrated transient correlations with PMA/GA/BW in unadjusted analyses (P < 0.05), whereas CP volumes maintained robust PMA associations post-adjustment in all neonates (P = 0.037) and term subgroup (P = 0.013). No significant effects of sex on both metrics were observed.

conclusionOur findings reveal prematurity-associated delays in glymphatic maturation, rather than biological sex. The persistent PMA-CP volume relationship suggests developmental regulation of CSF production, while attenuated DTI-ALPS correlations highlight covariate-mediated effects. These glymphatic metrics show potential for monitoring neurodevelopmental trajectories, though longitudinal validation is required to establish their clinical utility in neonatal care. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

BrainChoroid PlexusDiffusion Tensor ImagingGlymphatic SystemFemaleGestational AgeHumansInfant, NewbornInfant, PrematureMaleChoroid plexusDiffusion tensor imaging along the perivascular spaceGlymphatic systemNeonate

Identifiers

PMID40247273
PMCPMC12007372

What Socratic holds

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LicenceCC BY-NC-ND
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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.