Literature DB >> 21908910

Measuring memory in large group settings using a continuous recognition test.

J Wesson Ashford1, Emily Gere, Peter J Bayley.   

Abstract

Memory function generally deteriorates with age, and memory impairments are a common symptom of serious illness such as dementia. Although screening tests are widely used throughout Medicine, they are not yet commonly used to detect memory impairments. The objective of this study was to characterize an audience-based memory test suitable for administration to a large number of individuals simultaneously. A continuous recognition test was developed to assess memory function in audiences using a slide-show in which 50 images were presented, of which 25 were repeated. Audience members responded by recording if an image was a repetition. The test was administered to a total of 1018 participants at 25 sites with an average audience size of 41 individuals (range = 9-142). A total of 868 individuals aged 40-97 y completed the test appropriately and provided their age, education level, and gender. Recognition memory as measured by discriminability (d') showed a significant decline with age (40-49 y old, d' = 3.51; 90-99 y old, d' = 1.95, p < 0.001) together with a greater than three-fold increase in variability. Individuals with less than 13 y of education had lower scores than those with more education (d' = 2.13 vs. 2.88, respectively, p < 0.001). These results are consistent with the known effects of age and education on memory. There were no significant effects of gender on test performance. Such memory tests represent a practical and novel approach to screen for the signs of early dementia.

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Year:  2011        PMID: 21908910     DOI: 10.3233/JAD-2011-110950

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


  12 in total

1.  Low plasma leptin in cognitively impaired ADNI subjects: gender differences and diagnostic and therapeutic potential.

Authors:  Jane M Johnston; William T Hu; David W Fardo; Steven J Greco; George Perry; Thomas J Montine; John Q Trojanowski; Leslie M Shaw; J Wesson Ashford; Nikolaos Tezapsidis
Journal:  Curr Alzheimer Res       Date:  2014-02       Impact factor: 3.498

2.  Cognitive Performance in Parkinson's Disease in the Brain Health Registry.

Authors:  Brenna Cholerton; Michael W Weiner; Rachel L Nosheny; Kathleen L Poston; R Scott Mackin; Lu Tian; J Wesson Ashford; Thomas J Montine
Journal:  J Alzheimers Dis       Date:  2019       Impact factor: 4.472

3.  Risk preferences and aging: the "certainty effect" in older adults' decision making.

Authors:  Mara Mather; Nina Mazar; Marissa A Gorlick; Nichole R Lighthall; Jessica Burgeno; Andrej Schoeke; Dan Ariely
Journal:  Psychol Aging       Date:  2012-10-15

Review 4.  Improving dementia care: the role of screening and detection of cognitive impairment.

Authors:  Soo Borson; Lori Frank; Peter J Bayley; Malaz Boustani; Marge Dean; Pei-Jung Lin; J Riley McCarten; John C Morris; David P Salmon; Frederick A Schmitt; Richard G Stefanacci; Marta S Mendiondo; Susan Peschin; Eric J Hall; Howard Fillit; J Wesson Ashford
Journal:  Alzheimers Dement       Date:  2013-01-30       Impact factor: 21.566

5.  The predictive value of the memory impairment screen in patients with subjective memory complaints: a prospective study.

Authors:  Pedro J Modrego; José Gazulla
Journal:  Prim Care Companion CNS Disord       Date:  2013-01-31

6.  A Computerized Continuous-Recognition Task for Measurement of Episodic Memory.

Authors:  J Wesson Ashford; Franck Tarpin-Bernard; Curtis B Ashford; Miriam T Ashford
Journal:  J Alzheimers Dis       Date:  2019       Impact factor: 4.472

7.  The MemTrax Test Compared to the Montreal Cognitive Assessment Estimation of Mild Cognitive Impairment.

Authors:  Marjanne D van der Hoek; Arie Nieuwenhuizen; Jaap Keijer; J Wesson Ashford
Journal:  J Alzheimers Dis       Date:  2019       Impact factor: 4.472

8.  Episodic-Memory Performance in Machine Learning Modeling for Predicting Cognitive Health Status Classification.

Authors:  Michael F Bergeron; Sara Landset; Franck Tarpin-Bernard; Curtis B Ashford; Taghi M Khoshgoftaar; J Wesson Ashford
Journal:  J Alzheimers Dis       Date:  2019       Impact factor: 4.472

9.  Effects of running on adiponectin, insulin and cytokines in cerebrospinal fluid in healthy young individuals.

Authors:  M Schön; Z Kovaničová; Z Košutzká; M Nemec; M Tomková; L Jacková; D Máderová; L Slobodová; P Valkovič; J Ukropec; B Ukropcová
Journal:  Sci Rep       Date:  2019-02-13       Impact factor: 4.379

10.  Association between NME8 locus polymorphism and cognitive decline, cerebrospinal fluid and neuroimaging biomarkers in Alzheimer's disease.

Authors:  Ying Liu; Jin-Tai Yu; Hui-Fu Wang; Xiao-Ke Hao; Yu-Fen Yang; Teng Jiang; Xi-Chen Zhu; Lei Cao; Dao-Qiang Zhang; Lan Tan
Journal:  PLoS One       Date:  2014-12-08       Impact factor: 3.240

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