Literature DB >> 21060014

Longitudinal changes in white matter disease and cognition in the first year of the Alzheimer disease neuroimaging initiative.

Owen Carmichael1, Christopher Schwarz, David Drucker, Evan Fletcher, Danielle Harvey, Laurel Beckett, Clifford R Jack, Michael Weiner, Charles DeCarli.   

Abstract

OBJECTIVE: To evaluate relationships between magnetic resonance imaging (MRI)-based measures of white matter hyperintensities (WMHs), measured at baseline and longitudinally, and 1-year cognitive decline using a large convenience sample in a clinical trial design with a relatively mild profile of cardiovascular risk factors.
DESIGN: Convenience sample in a clinical trial design.
SUBJECTS: A total of 804 participants in the Alzheimer Disease Neuroimaging Initiative who received MRI scans, cognitive testing, and clinical evaluations at baseline, 6-month follow-up, and 12-month follow-up visits. For each scan, WMHs were detected automatically on coregistered sets of T1, proton density, and T2 MRI images using a validated method. Mixed-effects regression models evaluated relationships between risk factors for WMHs, WMH volume, and change in outcome measures including Mini-Mental State Examination (MMSE), Alzheimer Disease Assessment Scale-Cognitive Subscale (ADAS-Cog), and Clinical Dementia Rating Scale sum of boxes scores. Covariates in these models included race, sex, years of education, age, apolipoprotein E genotype, baseline clinical diagnosis (cognitively normal, mild cognitive impairment, or Alzheimer disease), cardiovascular risk score, and MRI-based hippocampal and brain volumes.
RESULTS: Higher baseline WMH volume was associated with greater subsequent 1-year increase in ADAS-Cog and decrease in MMSE scores. Greater WMH volume at follow-up was associated with greater ADAS-Cog and lower MMSE scores at follow-up. Higher baseline age and cardiovascular risk score and more impaired baseline clinical diagnosis were associated with higher baseline WMH volume.
CONCLUSIONS: White matter hyperintensity volume predicts 1-year cognitive decline in a relatively healthy convenience sample that was similar to clinical trial samples, and therefore should be considered as a covariate of interest at baseline and longitudinally in future AD treatment trials.

Entities:  

Mesh:

Year:  2010        PMID: 21060014      PMCID: PMC3082636          DOI: 10.1001/archneurol.2010.284

Source DB:  PubMed          Journal:  Arch Neurol        ISSN: 0003-9942


  22 in total

1.  Nonrigid registration using free-form deformations: application to breast MR images.

Authors:  D Rueckert; L I Sonoda; C Hayes; D L Hill; M O Leach; D J Hawkes
Journal:  IEEE Trans Med Imaging       Date:  1999-08       Impact factor: 10.048

2.  Regional spatial normalization: toward an optimal target.

Authors:  P Kochunov; J L Lancaster; P Thompson; R Woods; J Mazziotta; J Hardies; P Fox
Journal:  J Comput Assist Tomogr       Date:  2001 Sep-Oct       Impact factor: 1.826

3.  Periventricular cerebral white matter lesions predict rate of cognitive decline.

Authors:  Jan Cees De Groot; Frank-Erik De Leeuw; Matthijs Oudkerk; Jan Van Gijn; Albert Hofman; Jellemer Jolles; Monique M B Breteler
Journal:  Ann Neurol       Date:  2002-09       Impact factor: 10.422

4.  The effect of white matter hyperintensity volume on brain structure, cognitive performance, and cerebral metabolism of glucose in 51 healthy adults.

Authors:  C DeCarli; D G Murphy; M Tranh; C L Grady; J V Haxby; J A Gillette; J A Salerno; A Gonzales-Aviles; B Horwitz; S I Rapoport
Journal:  Neurology       Date:  1995-11       Impact factor: 9.910

5.  Serial MR imaging of volumes of hyperintense white matter lesions in elderly patients: correlation with vascular risk factors.

Authors:  Warren D Taylor; James R MacFall; James M Provenzale; Martha E Payne; Douglas R McQuoid; David C Steffens; K Ranga Rama Krishnan
Journal:  AJR Am J Roentgenol       Date:  2003-08       Impact factor: 3.959

6.  Progression of cerebral white matter lesions: 6-year results of the Austrian Stroke Prevention Study.

Authors:  Reinhold Schmidt; Christian Enzinger; Stefan Ropele; Helena Schmidt; Franz Fazekas
Journal:  Lancet       Date:  2003-06-14       Impact factor: 79.321

7.  Alzheimer's Disease Neuroimaging Initiative (ADNI): clinical characterization.

Authors:  R C Petersen; P S Aisen; L A Beckett; M C Donohue; A C Gamst; D J Harvey; C R Jack; W J Jagust; L M Shaw; A W Toga; J Q Trojanowski; M W Weiner
Journal:  Neurology       Date:  2009-12-30       Impact factor: 9.910

8.  Stroke risk profile predicts white matter hyperintensity volume: the Framingham Study.

Authors:  Tom Jeerakathil; Philip A Wolf; Alexa Beiser; Joseph Massaro; Sudha Seshadri; Ralph B D'Agostino; Charles DeCarli
Journal:  Stroke       Date:  2004-06-24       Impact factor: 7.914

9.  Psychometrically matched measures of global cognition, memory, and executive function for assessment of cognitive decline in older persons.

Authors:  Dan Mungas; Bruce R Reed; Joel H Kramer
Journal:  Neuropsychology       Date:  2003-07       Impact factor: 3.295

10.  Individual differences in rates of change in cognitive abilities of older persons.

Authors:  Robert S Wilson; Laurel A Beckett; Lisa L Barnes; Julie A Schneider; Julie Bach; Denis A Evans; David A Bennett
Journal:  Psychol Aging       Date:  2002-06
View more
  123 in total

Review 1.  The Alzheimer's disease neuroimaging initiative: progress report and future plans.

Authors:  Michael W Weiner; Paul S Aisen; Clifford R Jack; William J Jagust; John Q Trojanowski; Leslie Shaw; Andrew J Saykin; John C Morris; Nigel Cairns; Laurel A Beckett; Arthur Toga; Robert Green; Sarah Walter; Holly Soares; Peter Snyder; Eric Siemers; William Potter; Patricia E Cole; Mark Schmidt
Journal:  Alzheimers Dement       Date:  2010-05       Impact factor: 21.566

Review 2.  The Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception.

Authors:  Michael W Weiner; Dallas P Veitch; Paul S Aisen; Laurel A Beckett; Nigel J Cairns; Robert C Green; Danielle Harvey; Clifford R Jack; William Jagust; Enchi Liu; John C Morris; Ronald C Petersen; Andrew J Saykin; Mark E Schmidt; Leslie Shaw; Judith A Siuciak; Holly Soares; Arthur W Toga; John Q Trojanowski
Journal:  Alzheimers Dement       Date:  2011-11-02       Impact factor: 21.566

3.  Nutrient biomarker patterns, cognitive function, and MRI measures of brain aging.

Authors:  G L Bowman; L C Silbert; D Howieson; H H Dodge; M G Traber; B Frei; J A Kaye; J Shannon; J F Quinn
Journal:  Neurology       Date:  2011-12-28       Impact factor: 9.910

Review 4.  The declining infrastructure of the aging brain.

Authors:  David H Salat
Journal:  Brain Connect       Date:  2011

5.  White matter lesions and brain gray matter volume in cognitively normal elders.

Authors:  Cyrus A Raji; Oscar L Lopez; Lewis H Kuller; Owen T Carmichael; William T Longstreth; H Michael Gach; John Boardman; Charles B Bernick; Paul M Thompson; James T Becker
Journal:  Neurobiol Aging       Date:  2011-09-23       Impact factor: 4.673

Review 6.  CSF and clinical hallmarks of subcortical dementias: focus on DLB and PDD.

Authors:  Alessandro Stefani; Livia Brusa; Enrica Olivola; Mariangela Pierantozzi; Alessandro Martorana
Journal:  J Neural Transm (Vienna)       Date:  2012-05-24       Impact factor: 3.575

7.  A composite score for executive functioning, validated in Alzheimer's Disease Neuroimaging Initiative (ADNI) participants with baseline mild cognitive impairment.

Authors:  Laura E Gibbons; Adam C Carle; R Scott Mackin; Danielle Harvey; Shubhabrata Mukherjee; Philip Insel; S McKay Curtis; Dan Mungas; Paul K Crane
Journal:  Brain Imaging Behav       Date:  2012-12       Impact factor: 3.978

8.  Suspected non-AD pathology in mild cognitive impairment.

Authors:  Laura E M Wisse; Nirali Butala; Sandhitsu R Das; Christos Davatzikos; Bradford C Dickerson; Sanjeev N Vaishnavi; Paul A Yushkevich; David A Wolk
Journal:  Neurobiol Aging       Date:  2015-09-07       Impact factor: 4.673

Review 9.  Clinically asymptomatic vascular brain injury: a potent cause of cognitive impairment among older individuals.

Authors:  Charles DeCarli
Journal:  J Alzheimers Dis       Date:  2013       Impact factor: 4.472

10.  Subjects harboring presenilin familial Alzheimer's disease mutations exhibit diverse white matter biochemistry alterations.

Authors:  Alex E Roher; Chera L Maarouf; Michael Malek-Ahmadi; Jeffrey Wilson; Tyler A Kokjohn; Ian D Daugs; Charisse M Whiteside; Walter M Kalback; Mimi P Macias; Sandra A Jacobson; Marwan N Sabbagh; Bernardino Ghetti; Thomas G Beach
Journal:  Am J Neurodegener Dis       Date:  2013-09-18
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.