Authors: Pauline Maillard Fabrice Crivello Carole Dufouil Nathalie TzourioMazoyer Christophe Tzourio Bernard Mazoyer
Publish Date: 2009/01/13
Volume: 51, Issue: 4, Pages: 209-220
Abstract
For each subject automated WMH detection was performed on T2weighted MR images acquired both at baseline and at followup after registration in a common space The detection algorithm was designed both to track WMH previously existing at baseline and to identify newly formed WMHThe average annual change in WMH load was found to be 025 cm3/year 36 of this change being attributable to newly formed WMH Quantitative analyses showed that change in WMH was mainly explained by progression of juxtaventricular and periventricular WMH while the load of WMH in the deep white matter zones was found stable over 4 years of the study Statistical parametric mapping confirmed these spatial WMH change distributions in the juxta and periventricular zones High blood pressure was not a significant predictor of the annual change in WMHThis study proposes a new scheme for the longitudinal study of WMH change by dissociating worsening of existent WMH from surfacing of new WMH and may thus contribute to help understanding and characterizing the neurological and etiological bases of these two processes and their potential differencesP Maillard has been supported by a grant from the Ministère de l’Enseignement Supérieur et de la Recherche The authors are indebted to P Karamian P Guillon V Besançon O Coskun and S Bricogne for early contributions to this work This study has been conducted within the framework of the ICBM project http//wwwloniuclaedu/ICBM/The ThreeCity Study is conducted under a partnership agreement between the Institut National de la Santé et de la Recherche Médicale INSERM the Victor SegalenBordeaux II University and SanofiAventis The Fondation pour la Recherche Médicale funded the preparation and initiation of the study The 3C Study is also supported by the Caisse Nationale Maladie des Travailleurs Salariés Direction Générale de la Santé MGEN Institut de la Longévité Conseils Régionaux of Aquitaine and Bourgogne Fondation de France and Ministry of ResearchINSERM Programme “Cohortes et collections de données biologiques”
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