Work

White Matter Perivascular Space Burden in Children With Autism Spectrum Disorder and Typically Developing Controls: An Automated Quantitative MRI Study

Year: 2026

Type: article

Abstract: Overview of the workflow used for analyzing 3D-T1w and 3D-T2w DICOM files. Initially, the images underwent preprocessing via the HCP preprocessing pipeline. Then, FreeSurfer WM parcellation was employed to generate masks of WM regions of interest. Additionally, preprocessed T1w and T2w images were used to generate Enhanced Perivascular Contrast (EPC) images, which were then provided as input to the WPSS algorithm for PVS segmentation. The image shown in the WPSS PVS segmentation box is a 3D representation of the whole-brain WPSS segmentation output. By Girardi et al. (1227–1240)

Source: Journal of Magnetic Resonance Imaging

DOI: 10.1002/jmri.70568

Authors: Chiara Girardi, Denis Peruzzo, Francesca Castellotti, Elisa Mani, Fabiola Lanteri, Valentina Mariani, Nicola Pesenti, Nivedita Agarwal

Language: English

Topic: Autism Spectrum Disorder Research

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: bronze

OpenAlex ID: W7221751229

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