Literature DB >> 6389152

Between bodily changes and performance: some possible reasons for slowing with age.

A T Welford.   

Abstract

A number of models are outlined which attempt to account for relationships between various bodily, and especially neural, changes and the widespread slowing of performance observed in old age. Muscular and neuromuscular changes can account for some types of slowing, but most types are attributable to central mechanisms. The accumulation of small increments of time in a long chain of cells from sensory input to motor output is shown to be an inadequate explanation. Correlations between reaction time, EEG alpha cycle-time and age are in line with the widespread tendency for increases of reaction time with age to be proportional, but do not take account of errors. A powerful model which does consider both time and errors is derived from the fact that signals from sense organs and within the brain have to be distinguished against a background of random activity ("noise") both in the signals themselves and in the central nervous system, and slowing of performance with age results from a fall in signal-to-noise ratios. This leads in some circumstances to absolute and in others to proportional increases of time taken by older people. Interacting with these factors are tendencies by older people to adopt higher criteria for responding, and to spend more time monitoring their actions. Certain cases in which there is a disproportionate increase with age of time taken appear to occur when memory is involved in holding data temporarily while other data are gathered to arrive at a decision. The several stages of information processing from input to output are affected by slowing with age differently in different tasks, so that detailed study of various aspects of tasks is needed to account for overall effects observed.

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Year:  1984        PMID: 6389152     DOI: 10.1080/03610738408258548

Source DB:  PubMed          Journal:  Exp Aging Res        ISSN: 0361-073X            Impact factor:   1.645


  28 in total

1.  Age-related changes in optimality and motor variability: an example of multifinger redundant tasks.

Authors:  Jaebum Park; Yao Sun; Vladimir M Zatsiorsky; Mark L Latash
Journal:  Exp Brain Res       Date:  2011-04-26       Impact factor: 1.972

2.  Movement strategies in vertical aiming of older adults.

Authors:  Simon J Bennett; Digby Elliott; Andre Rodacki
Journal:  Exp Brain Res       Date:  2011-11-25       Impact factor: 1.972

3.  Effect of Panax ginseng extract on passive avoidance retention in old rats.

Authors:  B Jaenicke; E J Kim; J W Ahn; H S Lee
Journal:  Arch Pharm Res       Date:  1991-03       Impact factor: 4.946

4.  Temporal measurements of pharyngeal swallowing in normal populations.

Authors:  Youngsun Kim; Gary H McCullough; Carl W Asp
Journal:  Dysphagia       Date:  2005       Impact factor: 3.438

5.  Short-term visual recognition and temporal order memory are both well-preserved in aging.

Authors:  Robert Sekuler; Chris McLaughlin; Michael J Kahana; Arthur Wingfield; Yuko Yotsumoto
Journal:  Psychol Aging       Date:  2006-09

6.  Efficient control of arm movements in advanced age.

Authors:  Gyusung Lee; Laetitia Fradet; Caroline J Ketcham; Natalia Dounskaia
Journal:  Exp Brain Res       Date:  2006-08-30       Impact factor: 1.972

7.  Age-related changes in upper limb coordination in a complex reaching task.

Authors:  Sajida Khanafer; Heidi Sveistrup; Mindy F Levin; Erin K Cressman
Journal:  Exp Brain Res       Date:  2021-06-03       Impact factor: 1.972

8.  Maximum hyoid displacement in normal swallowing.

Authors:  Youngsun Kim; Gary H McCullough
Journal:  Dysphagia       Date:  2007-10-26       Impact factor: 3.438

9.  Aging affects the neural representation of speed in Macaque area MT.

Authors:  Yun Yang; Jie Zhang; Zhen Liang; Guangxing Li; Yongchang Wang; Yuanye Ma; Yifeng Zhou; Audie G Leventhal
Journal:  Cereb Cortex       Date:  2008-11-26       Impact factor: 5.357

10.  Movement structure in young and elderly adults during goal-directed movements of the left and right arm.

Authors:  Brach Poston; Arend W A Van Gemmert; Beth Barduson; George E Stelmach
Journal:  Brain Cogn       Date:  2008-06-16       Impact factor: 2.310

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