{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/grey-matter-sublayer-thickness-estimation-in","title":"Grey matter sublayer thickness estimation in themouse cerebellum","arxiv_id":"1901.02499","date":"2019-01-08","proceeding":null,"authors":["Da Ma","Manuel J. Cardoso","Maria A. Zuluaga","Marc Modat","Nick. Powell","Frances Wiseman","Victor Tybulewicz","Elizabeth Fisher","Mark. F. Lythgoe","Sebastien Ourselin"],"abstract":"The cerebellar grey matter morphology is an important feature to study\nneurodegenerative diseases such as Alzheimer's disease or Down's syndrome. Its\nvolume or thickness is commonly used as a surrogate imaging biomarker for such\ndiseases. Most studies about grey matter thickness estimation focused on the\ncortex, and little attention has been drawn on the morphology of the\ncerebellum. Using ex vivo high-resolution MRI, it is now possible to visualise\nthe different cell layers in the mouse cerebellum. In this work, we introduce a\nframework to extract the Purkinje layer within the grey matter, enabling the\nestimation of the thickness of the cerebellar grey matter, the granular layer\nand molecular layer from gadolinium-enhanced ex vivo mouse brain MRI.\nApplication to mouse model of Down's syndrome found reduced cortical and layer\nthicknesses in the transchromosomic group.","url_abs":"http://arxiv.org/abs/1901.02499v1","url_pdf":"http://arxiv.org/pdf/1901.02499v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"grey-matter-sublayer-thickness-estimation-in","repo_url":"https://github.com/dancebean/mouse-brain-atlas/tree/master/Tc1_Cerebellum","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[{"slug":"tc1-mouse-cerebellum-atlas","name":"Tc1 Mouse cerebellum atlas","full_name":"Tc1 Mouse cerebellum atlas with Purkinje layer segmentation"}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}