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Neuroanatomical substrates of perivascular space index: a morphometric and tractography study.

Overview

Authors: Xuyang Wang1, Qin Zhang2,3, Peitao Su1,4, Wenjing Lu1,4, Guoqiang Chen1, Ping Cui1, Mao Sheng1, Shiwu Yin2,3
  1. Department of Radiology, The Second People’s Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, Anhui, China
  2. Affiliations 1 Department of Interventional Vascular Medicine, Hefei Hospital Affiliated to Anhui Medical University, The Second People’s Hospital of Hefei, Hefei, Anhui, China
  3. The Fifth Clinical College of Medicine, Anhui Medical University, Hefei, Anhui, China
  4. Wannan Medical College, Wuhu, Anhui, China
Institutions: Anhui Medical University (China); Wannan Medical College (China)
Journal: Frontiers in psychiatry, volume 17, article 1848053
Dates: received 5 April 2026; accepted 26 May 2026; published online 19 June 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.3389/fpsyt.2026.1848053 · PMID 42404719 · PMCID PMC13329724 · OpenAlex W7165188410
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: structural MRI / diffusion (modality), human (organism)
Methods: Statistics, fMRI & imaging, Preprocessing
Keywords: DTI-ALPS index, glymphatic system, surface-based morphometry, tractography, white matter microstructure
Topic: Cerebrospinal fluid and hydrocephalus (Cellular and Molecular Neuroscience, Neuroscience), according to OpenAlex
Citations: not cited yet (Europe PMC); 39 references in the paper

Abstract

Background and objectives: The diffusion tensor image analysis along the perivascular space (DTI-ALPS) index is an important imaging biomarker for assessing glymphatic system function. However, the cortical and white matter metrics associated with changes in the DTI-ALPS index have not been fully elucidated, and the relationship between these two types of metrics remains controversial.

Methods: We computed the index in 815 healthy participants from the AOMIC dataset. Surface-based morphometry (SBM) and correlational tractography were employed to identify cortical morphometric features and white matter tracts that were correlated with the DTI-ALPS index. Tract-to-region connectome analysis was then performed to identify significant tracts, and correlations between tract microstructural integrity and connected cortical morphometry were analyzed.

Results: The SBM results revealed positive correlations between the DTI-ALPS index and sulcal depth in the precentral, parsopercularis, postcentral, and supramarginal gyri as well as with local gyrification in the superior frontal and lateral orbitofrontal cortices. Tractography showed that the DTI-ALPS index positively correlated with fractional anisotropy (FA) and negatively with mean diffusivity (MD) in the corpus callosum, bilateral fornices, and corticospinal tracts. These tracts exhibited structural connectivity with the aforementioned cortical regions, and MD in several connected tracts positively correlated with regional sulcal depth.

Discussion: This study identified cortical and white matter correlates of DTI-ALPS variability in a healthy young-adult cohort. These findings provide novel insights into mechanisms underlying DTI-ALPS index decline in aging and neurological disorders.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper links to its data, not to its authors' code: see the Data section.

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Data

Datasets cited

Data availability statement

Publicly available datasets were analyzed in this study. This data can be found here: https://openneuro.org/datasets/ds003097 AOMIC-ID1000.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 8 authors, 5 keywords, 39 references.

Cite

This paper

Wang, X., Zhang, Q., Su, P., Lu, W., Chen, G., Cui, P., Sheng, M., & Yin, S. (2026). Neuroanatomical substrates of perivascular space index: a morphometric and tractography study. Frontiers in psychiatry, 17, 1848053. https://doi.org/10.3389/fpsyt.2026.1848053

BibTeX

@article{wang2026neuroanatomical,
author = {Wang, Xuyang and Zhang, Qin and Su, Peitao and Lu, Wenjing and Chen, Guoqiang and Cui, Ping and Sheng, Mao and Yin, Shiwu},
title = {{Neuroanatomical substrates of perivascular space index: a morphometric and tractography study}},
journal = {Frontiers in psychiatry},
year = {2026},
month = jun,
volume = {17},
pages = {1848053},
publisher = {Frontiers Media SA},
issn = {1664-0640},
doi = {10.3389/fpsyt.2026.1848053},
url = {https://doi.org/10.3389/fpsyt.2026.1848053},
pmid = {42404719},
pmcid = {PMC13329724}
}

RIS

TY - JOUR
AU - Wang, Xuyang
AU - Zhang, Qin
AU - Su, Peitao
AU - Lu, Wenjing
AU - Chen, Guoqiang
AU - Cui, Ping
AU - Sheng, Mao
AU - Yin, Shiwu
TI - Neuroanatomical substrates of perivascular space index: a morphometric and tractography study
T2 - Frontiers in psychiatry
J2 - Front Psychiatry
PY - 2026
DA - 2026/06/19
VL - 17
SP - 1848053
SN - 1664-0640
PB - Frontiers Media SA
DO - 10.3389/fpsyt.2026.1848053
UR - https://doi.org/10.3389/fpsyt.2026.1848053
LA - en
ER -

CSL-JSON

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