Year: 2026
Type: preprint
Abstract: The choroid plexus (ChP) is a highly vascularized structure located in the brain ventricles that plays important roles in multiple central nervous system functions. ChP enlargement has been implicated in many neuropsychiatric conditions such as multiple sclerosis, depression, schizophrenia, and Alzheimer's disease. However, limitation in the accuracy of the current segmentation tools highlight the need for more reliable methods to quantify ChP volume in healthy and clinical human populations. The shape and size of the ChP vary drastically from person to person, and currently there are no large ChP datasets which allow comprehensive training of segmentation models. Here we introduce DataPlex, a collection of 700 structural MRI brain images where the lateral ventricle ChP has been manually labeled and checked by expert human raters. DataPlex is balanced and representative across a wide range of scanning parameters, demographics, and clinical profiles, and subject-level information will be available for each labeled image. DataPlex will be open source to support the creation of reliable segmentation tools for the human lateral ventricle ChP.
Authors: Ling-Yu Huang, Victor Zeng, Nicolas Raymond, Brendan Stiltner, Willa Molho, Yuan Cao, Deepthi Bannai, Daphne Ying, Emma Oss, Daman P. Dhunna, Prachi Patel, Alexa Adesokan, Morgan Hricay, Victoria Lyons, Noah Tolentino, Matcheri S. Keshavan, Peter Fried, Mohammad Jammoul, David Kuegler, Santiago Estrada, Martin Reuter, Paulo Lizano
Institutions: University of Rochester Medicine, University of Rochester, Beth Israel Deaconess Medical Center, Jena University Hospital, Deutsches Zentrum für Psychische Gesundheit, University of California, Berkeley, Harvard University, German Center for Neurodegenerative Diseases, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7221474652