Multi-Sequence Average Templates for Aging and Neurodegenerative Disease Populations

Mahsa Dadar cfbfa20365 Upload files to ''		2 年之前
AD	651aeb3abc Upload files to ''	2 年之前
CIE	8bbdc521e3 Upload files to ''	2 年之前
FTD	10fffbce19 Upload files to ''	2 年之前
LBD	b24ca028df Upload files to ''	2 年之前
MCI	3860645ae3 Upload files to ''	2 年之前
Mixed	447f654bc4 Upload files to ''	2 年之前
PD	f0c26a65cb Upload files to ''	2 年之前
PD-CIE	f0c26a65cb Upload files to ''	2 年之前
SCI	cfbfa20365 Upload files to ''	2 年之前
LICENSE	d37c7e8d18 Initial commit	2 年之前
README.md	d37c7e8d18 Initial commit	2 年之前
datacite.yml	a2d7c1edf9 Add information for publishing with DataCite	2 年之前

CDIP_Templates

Multi-Sequence Average Templates for Aging and Neurodegenerative Disease Populations

datacite.yml
Title	Multi-Sequence Average Templates for Aging and Neurodegenerative Disease Populations
Authors	Dadar,Mahsa;McGill University;https://orcid.org/0000-0003-4008-2672 Camicioli,Richard;University of Alberta Duchesne,Simon;Laval University
Description	The present repository contains multi-sequence (T1-weighted, T2-weighted, Proton Density, T2*-weighted, and FLuid Attenuated Inversion Recovery) average templates of eleven diagnostic groups, including 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, as well as a human phantom. We also provide separate templates for males and females in each diagnostic category, to allow better representation of the impact of the disease for each sex group.
License	Creative Commons CC0 1.0 Public Domain Dedication (https://creativecommons.org/publicdomain/zero/1.0/)
References
Funding	Canadian Consortium on Neurodegeneration in Aging (CCNA)
Keywords	Neuroscience MRI template Aging Neurodegenerative diseases Multi-sequence
Resource Type	Dataset