Literature DB >> 1538069

Four to ten milliseconds per year: age-related slowing of visual word identification.

D J Madden1.   

Abstract

This experiment examined the age-related slowing of visual word identification. Each of 108 subjects between 20 and 78 years of age performed a word/nonword discrimination (lexical decision) task in which the target was preceded by a single-word prime. Several aspects of the data were consistent with a generalized slowing model: There was a positive correlation between age and mean reaction time, the absolute magnitude of age differences increased as a function of task complexity, and the statistical control of a relatively task-independent index of processing speed attenuated the age-related variance in mean reaction time. The degree of age-related slowing was more pronounced for visually degraded targets (10 msec per year) than for intact targets (4 msec per year). Other aspects of lexical decision performance, however, suggested that some components of word identification, especially those involved in semantic activation, are relatively exempt from age-related slowing.

Mesh:

Year:  1992        PMID: 1538069     DOI: 10.1093/geronj/47.2.p59

Source DB:  PubMed          Journal:  J Gerontol        ISSN: 0022-1422


  14 in total

1.  Characterizing semantic space: neighborhood effects in word recognition.

Authors:  L Buchanan; C Westbury; C Burgess
Journal:  Psychon Bull Rev       Date:  2001-09

2.  Adult age differences in visual word identification: functional neuroanatomy by positron emission tomography.

Authors:  David J Madden; Linda K Langley; Laura L Denny; Timothy G Turkington; James M Provenzale; Thomas C Hawk; R Edward Coleman
Journal:  Brain Cogn       Date:  2002-08       Impact factor: 2.310

3.  Aging influences the neural correlates of lexical decision but not automatic semantic priming.

Authors:  Brian T Gold; Anders H Andersen; Greg A Jicha; Charles D Smith
Journal:  Cereb Cortex       Date:  2009-03-08       Impact factor: 5.357

4.  Speed isn't everything: complex processing speed measures mask individual differences and developmental changes in executive control.

Authors:  Nicholas J Cepeda; Katharine A Blackwell; Yuko Munakata
Journal:  Dev Sci       Date:  2013-03

5.  Visual Acuity does not Moderate Effect Sizes of Higher-Level Cognitive Tasks.

Authors:  James R Houston; Ilana J Bennett; Philip A Allen; David J Madden
Journal:  Exp Aging Res       Date:  2016       Impact factor: 1.645

Review 6.  Linking cognitive and visual perceptual decline in healthy aging: The information degradation hypothesis.

Authors:  Zachary A Monge; David J Madden
Journal:  Neurosci Biobehav Rev       Date:  2016-07-30       Impact factor: 8.989

7.  Cognitive Interventions for Cognitively Healthy, Mildly Impaired, and Mixed Samples of Older Adults: A Systematic Review and Meta-Analysis of Randomized-Controlled Trials.

Authors:  Catherine M Mewborn; Cutter A Lindbergh; L Stephen Miller
Journal:  Neuropsychol Rev       Date:  2017-07-19       Impact factor: 7.444

8.  Frontoparietal activation during visual conjunction search: Effects of bottom-up guidance and adult age.

Authors:  David J Madden; Emily L Parks; Catherine W Tallman; Maria A Boylan; David A Hoagey; Sally B Cocjin; Micah A Johnson; Ying-Hui Chou; Guy G Potter; Nan-Kuei Chen; Lauren E Packard; Rachel E Siciliano; Zachary A Monge; Michele T Diaz
Journal:  Hum Brain Mapp       Date:  2017-01-04       Impact factor: 5.038

9.  Response-specific slowing in older age revealed through differential stimulus and response effects on P300 latency and reaction time.

Authors:  Theodore R Bashore; Scott A Wylie; K Richard Ridderinkhof; Jacques M Martinerie
Journal:  Neuropsychol Dev Cogn B Aging Neuropsychol Cogn       Date:  2013-11-06

10.  A randomized controlled trial of cognitive training using a visual speed of processing intervention in middle aged and older adults.

Authors:  Fredric D Wolinsky; Mark W Vander Weg; M Bryant Howren; Michael P Jones; Megan M Dotson
Journal:  PLoS One       Date:  2013-05-01       Impact factor: 3.240

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