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Electrophysiological and information processing variability predicts memory decrements associated with normal age-related cognitive decline and Alzheimer's disease (AD)

Overview of attention for article published in Brain Research Protocols, September 2006
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Title
Electrophysiological and information processing variability predicts memory decrements associated with normal age-related cognitive decline and Alzheimer's disease (AD)
Published in
Brain Research Protocols, September 2006
DOI 10.1016/j.brainres.2006.08.075
Pubmed ID
Authors

Michael J. Hogan, Leigh Carolan, Richard A.P. Roche, Paul M. Dockree, Jochen Kaiser, Brendan P. Bunting, Ian H. Robertson, Brian A. Lawlor

Abstract

Recent theoretical models of cognitive aging have implicated increased intra-individual variability as a critical marker of decline. The current study examined electrophysiological and information processing variability and memory performance in normal younger and older controls, and older adults with Alzheimer's disease (AD). It was hypothesized that higher levels of variability would be indicative of age-related and disease-related memory deficits. Results indicated both implicit and explicit memory deficits associated with AD. Consistent with previous research, behavioral speed and variability emerged as sensitive to age- and disease-related change. Amplitude variability of P3 event-related potentials was a unique component of electrophysiological activity and accounted for significant variance in reaction time (RT) mean and RT standard deviation, which in turn accounted for significant variance in memory function. Results are discussed in light of theoretical and applied issues in the field of cognitive aging.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 5%
United States 1 2%
Unknown 62 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 20%
Student > Ph. D. Student 9 14%
Student > Master 8 12%
Student > Bachelor 5 8%
Other 5 8%
Other 14 21%
Unknown 12 18%
Readers by discipline Count As %
Psychology 19 29%
Neuroscience 8 12%
Medicine and Dentistry 8 12%
Agricultural and Biological Sciences 4 6%
Nursing and Health Professions 2 3%
Other 12 18%
Unknown 13 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 August 2013.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Brain Research Protocols
#9,372
of 10,776 outputs
Outputs of similar age
#82,634
of 87,475 outputs
Outputs of similar age from Brain Research Protocols
#65
of 71 outputs
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