首页    期刊浏览 2024年09月21日 星期六
登录注册

文章基本信息

  • 标题:Multi sequence average templates for aging and neurodegenerative disease populations
  • 本地全文:下载
  • 作者:Mahsa Dadar ; Richard Camicioli ; Simon Duchesne
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2022
  • 卷号:9
  • 期号:1
  • 页码:1-13
  • DOI:10.1038/s41597-022-01341-2
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要:Magnetic resonance image (MRI) processing pipelines use average templates to enable standardization of individual MRIs in a common space . MNI-ICBM152 is currently used as the standard template by most MRI processing tools . However, MNI-ICBM152 represents an average of 152 healthy young adult brains and is vastly diferent from brains of patients with neurodegenerative diseases . In those populations, extensive atrophy might cause inevitable registration errors when using an average template of young healthy individuals for standardization . Disease-specifc templates that represent the anatomical characteristics of the populations can reduce such errors and improve downstream driven estimates. We present multi-sequence average templates for alzheimer’s Dementia (aD), Fronto-temporal Dementia (FTD), Lewy Body Dementia (LBD), Mild Cognitive Impairment (MCI), cognitively intact and impaired Parkinson’s Disease patients (PD-CIE and PD-CI, respectively), individuals with Subjective Cognitive Impairment (SCI), aD with vascular contribution (V-aD), Vascular Mild Cognitive Impairment (V-MCI), Cognitively Intact Elderly (CIE) individuals, and a human phantom . We also provide separate templates for males and females to allow better representation of the diseases in each sex group.
国家哲学社会科学文献中心版权所有