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The AddNeuroMed framework for multi‐centre MRI assessment of Alzheimer's disease : experience from the first 24 months
Author(s) -
Simmons Andrew,
Westman Eric,
Muehlboeck Sebastian,
Mecocci Patrizia,
Vellas Bruno,
Tsolaki Magda,
Kłoszewska Iwona,
Wahlund LarsOlof,
Soininen Hilkka,
Lovestone Simon,
Evans Alan,
Spenger Christian
Publication year - 2011
Publication title -
international journal of geriatric psychiatry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.28
H-Index - 129
eISSN - 1099-1166
pISSN - 0885-6230
DOI - 10.1002/gps.2491
Subject(s) - alzheimer's disease neuroimaging initiative , neuroimaging , magnetic resonance imaging , alzheimer's disease , disease , pipeline (software) , cognitive impairment , psychology , medicine , mri scan , nuclear medicine , computer science , neuroscience , radiology , pathology , programming language
Objective To describe the AddNeuroMed imaging framework for multi‐centre magnetic resonance imaging (MRI) assessment of longitudinal changes in Alzheimer's disease and report on early results from the first 24 months of the project. Methods A multi‐centre study similarly to a faux clinical trial has been established to assess longitudinal MRI changes in Alzheimer disease (AD), mild cognitive impairment (MCI) and healthy control subjects using an image acquisition protocol compatible with Alzheimer disease neuroimaging initiative (ADNI). Comprehensive quality control (QC) measures have been established throughout the study. An intelligent web‐accessible database holds details on both the raw images and data processed using a sophisticated image analysis pipeline. Results A total of 378 subjects have been recruited (130 AD, 131 MCI, 117 healthy controls) of which a high percentage (97.3%) of the T1‐weighted volumes passed the QC criteria. Measurements of normalized whole brain volume and whole brain cortical thickness showed significant differences between AD and controls, AD and MCI and MCI and controls. Conclusions A framework for multi‐centre MRI studies of Alzheimer's disease has been established consisting of a harmonized MRI acquisition protocol across centres, rigorous QC at both the sites and central data analysis hub and an automated image analysis pipeline. Early results demonstrate the high quality of the images acquired and the applicability of the automated image analysis techniques employed. Copyright © 2010 John Wiley & Sons, Ltd.