Literature DB >> 28731452

Temporal Order of Alzheimer's Disease-Related Cognitive Marker Changes in BLSA and WRAP Longitudinal Studies.

Murat Bilgel1, Rebecca L Koscik2, Yang An1, Jerry L Prince3, Susan M Resnick1, Sterling C Johnson2,4,5,6, Bruno M Jedynak7.   

Abstract

Investigation of the temporal trajectories of currently used neuropsychological tests is critical to identifying earliest changing measures on the path to dementia due to Alzheimer's disease (AD). We used the Progression Score (PS) method to characterize the temporal trajectories of measures of verbal memory, executive function, attention, processing speed, language, and mental status using data spanning normal cognition, mild cognitive impairment, and AD from 1,661 participants with a total of 7,839 visits (age at last visit 77.6 SD 9.2) in the Baltimore Longitudinal Study of Aging (BLSA) and 1510 participants with a total of 3,473 visits (age at last visit 59.5 SD 7.4) in the Wisconsin Registry for Alzheimer's Prevention (WRAP). This method aligns individuals in time based on the similarity of their longitudinal measurements to reveal temporal trajectories. As a validation of our methodology, we explored the associations between the individualized cognitive progression scores (Cog-PS) computed by our method and clinical diagnosis. Digit span tests were the first to show declines in both data sets, and were detected mainly among cognitively normal individuals. These were followed by tests of verbal memory, which were in turn followed by Trail Making Tests, Boston Naming Test, and Mini-Mental State Examination. Differences in Cog-PS across the clinical diagnosis and APOEɛ4 groups were statistically significant, highlighting the potential use of Cog-PS as individualized indicators of disease progression. Identifying cognitive measures that are changing in preclinical AD can lead to the development of novel cognitive tests that are finely tuned to detecting earliest changes.

Entities:  

Keywords:  Alzheimer’s disease; cognition; longitudinal studies; neuropsychological tests; preclinical

Mesh:

Substances:

Year:  2017        PMID: 28731452      PMCID: PMC5682938          DOI: 10.3233/JAD-170448

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  56 in total

1.  Visuospatial imagery is a fruitful strategy for the digit span backward task: a study with near-infrared optical tomography.

Authors:  Y Hoshi; I Oda; Y Wada; Y Ito; M Oda; K Ohta; Y Yamada
Journal:  Brain Res Cogn Brain Res       Date:  2000-06

2.  Impaired digit span can predict further cognitive decline in older people with subjective memory complaint: a preliminary result.

Authors:  Pinar Kurt; Gorsev Yener; Meral Oguz
Journal:  Aging Ment Health       Date:  2011-04       Impact factor: 3.658

3.  The cortical neuroanatomy of neuropsychological deficits in mild cognitive impairment and Alzheimer's disease: a surface-based morphometric analysis.

Authors:  Hyun-Jung Ahn; Sang Won Seo; Juhee Chin; Mee Kyung Suh; Byung Hwa Lee; Sung Tae Kim; Kiho Im; Jong-Min Lee; Jun Hong Lee; Kenneth M Heilman; Duk L Na
Journal:  Neuropsychologia       Date:  2011-10-15       Impact factor: 3.139

4.  Visual memory predicts Alzheimer's disease more than a decade before diagnosis.

Authors:  C H Kawas; M M Corrada; R Brookmeyer; A Morrison; S M Resnick; A B Zonderman; D Arenberg
Journal:  Neurology       Date:  2003-04-08       Impact factor: 9.910

5.  Longitudinal cognitive decline is associated with fibrillar amyloid-beta measured by [11C]PiB.

Authors:  S M Resnick; J Sojkova; Y Zhou; Y An; W Ye; D P Holt; R F Dannals; C A Mathis; W E Klunk; L Ferrucci; M A Kraut; D F Wong
Journal:  Neurology       Date:  2010-02-10       Impact factor: 9.910

6.  Memory decline shows stronger associations with estimated spatial patterns of amyloid deposition progression than total amyloid burden.

Authors:  Rachel A Yotter; Jimit Doshi; Vanessa Clark; Jitka Sojkova; Yun Zhou; Dean F Wong; Luigi Ferrucci; Susan M Resnick; Christos Davatzikos
Journal:  Neurobiol Aging       Date:  2013-07-13       Impact factor: 4.673

7.  Molecular, structural, and functional characterization of Alzheimer's disease: evidence for a relationship between default activity, amyloid, and memory.

Authors:  Randy L Buckner; Abraham Z Snyder; Benjamin J Shannon; Gina LaRossa; Rimmon Sachs; Anthony F Fotenos; Yvette I Sheline; William E Klunk; Chester A Mathis; John C Morris; Mark A Mintun
Journal:  J Neurosci       Date:  2005-08-24       Impact factor: 6.167

8.  Cognitive and Brain Profiles Associated with Current Neuroimaging Biomarkers of Preclinical Alzheimer's Disease.

Authors:  Florent L Besson; Renaud La Joie; Loïc Doeuvre; Malo Gaubert; Florence Mézenge; Stéphanie Egret; Brigitte Landeau; Louisa Barré; Ahmed Abbas; Meziane Ibazizene; Vincent de La Sayette; Béatrice Desgranges; Francis Eustache; Gaël Chételat
Journal:  J Neurosci       Date:  2015-07-22       Impact factor: 6.167

9.  Cross-sectional and longitudinal analysis of the relationship between Aβ deposition, cortical thickness, and memory in cognitively unimpaired individuals and in Alzheimer disease.

Authors:  Vincent Doré; Victor L Villemagne; Pierrick Bourgeat; Jurgen Fripp; Oscar Acosta; Gael Chetélat; Luping Zhou; Ralph Martins; Kathryn A Ellis; Colin L Masters; David Ames; Oliver Salvado; Christopher C Rowe
Journal:  JAMA Neurol       Date:  2013-07       Impact factor: 18.302

10.  Amyloid β deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer's disease: a prospective cohort study.

Authors:  Victor L Villemagne; Samantha Burnham; Pierrick Bourgeat; Belinda Brown; Kathryn A Ellis; Olivier Salvado; Cassandra Szoeke; S Lance Macaulay; Ralph Martins; Paul Maruff; David Ames; Christopher C Rowe; Colin L Masters
Journal:  Lancet Neurol       Date:  2013-03-08       Impact factor: 44.182

View more
  5 in total

Review 1.  The Wisconsin Registry for Alzheimer's Prevention: A review of findings and current directions.

Authors:  Sterling C Johnson; Rebecca L Koscik; Erin M Jonaitis; Lindsay R Clark; Kimberly D Mueller; Sara E Berman; Barbara B Bendlin; Corinne D Engelman; Ozioma C Okonkwo; Kirk J Hogan; Sanjay Asthana; Cynthia M Carlsson; Bruce P Hermann; Mark A Sager
Journal:  Alzheimers Dement (Amst)       Date:  2017-12-08

2.  Predicting time to dementia using a quantitative template of disease progression.

Authors:  Murat Bilgel; Bruno M Jedynak
Journal:  Alzheimers Dement (Amst)       Date:  2019-02-28

3.  Modelling prognostic trajectories of cognitive decline due to Alzheimer's disease.

Authors:  Joseph Giorgio; Susan M Landau; William J Jagust; Peter Tino; Zoe Kourtzi
Journal:  Neuroimage Clin       Date:  2020-01-26       Impact factor: 4.881

4.  Association of Genetic Variants Linked to Late-Onset Alzheimer Disease With Cognitive Test Performance by Midlife.

Authors:  Scott C Zimmerman; Willa D Brenowitz; Camilla Calmasini; Sarah F Ackley; Rebecca E Graff; Stephen B Asiimwe; Adam M Staffaroni; Thomas J Hoffmann; M Maria Glymour
Journal:  JAMA Netw Open       Date:  2022-04-01

5.  Associations of the Lifestyle for Brain Health index with longitudinal cognition and brain amyloid beta in clinically unimpaired older adults: Findings from the Wisconsin Registry for Alzheimer's Prevention.

Authors:  Karly A Cody; Rebecca L Koscik; Claire M Erickson; Sara E Berman; Erin M Jonaitis; Victoria J Williams; Kimberly D Mueller; Bradley T Christian; Nathanial A Chin; Lindsay R Clark; Tobey J Betthauser; Sterling C Johnson
Journal:  Alzheimers Dement (Amst)       Date:  2022-09-11
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.