Literature DB >> 15864565

Walking is more like catching than tapping: gait in the elderly as a complex cognitive task.

Jeffrey M Hausdorff1, Galit Yogev, Shmuel Springer, Ely S Simon, Nir Giladi.   

Abstract

Walking is generally viewed as an automated, over-learned, rhythmic motor task and may even be considered the lower-limb analog of rhythmic finger tapping, another automated motor task. Thus, one might hypothesize that walking would be associated with a simple rhythmic task like tapping rather than with a complex motor task like catching. Surprisingly, however, we find that among older adults, routine walking has more in common with complex motor tasks, like catching a moving object, than it does with tapping. Tapping performance, including both the average tapping interval and the variability of tapping interval, was not significantly associated with any gait parameter (gait speed, average stride time and stride time variability). In contrast, catch game performance was significantly associated with measures of walking, suggesting that walking is more like catching than it is like tapping. For example, participants with a higher gait speed tended to have lower times to first move when catching, better catching accuracy, and less catching errors. Stride time variability was significantly associated with each of the measures of catching. Participants with a lower stride time variability (a more steady gait) had better catching accuracy, lower time to first move, fewer direction changes when moving the cursor to catch the falling object, and less catching errors. To understand this association, we compared walking performance to performance on the Stroop test, a classic measure of executive function, and tests of memory. Walking was associated with higher-level cognitive resources, specifically, executive function, but not with memory or cognitive function in general. For example, a lower (better) stride time variability was significantly associated with higher (better) scores on the Stroop test, but not with tests of memory. Similarly, when participants were stratified based on their performance on the Stroop test and tests of memory, stride time variability was dependent on the former, but not the latter. These findings underscore the interconnectedness of gait and cognitive function, indicate that even routine walking is a complex cognitive task that is associated with higher-level cognitive function, and suggest an alternative approach to the treatment of gait and fall risk in the elderly.

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Mesh:

Year:  2005        PMID: 15864565     DOI: 10.1007/s00221-005-2280-3

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  37 in total

1.  Parametric analysis of rate-dependent hemodynamic response functions of cortical and subcortical brain structures during auditorily cued finger tapping: a fMRI study.

Authors:  Axel Riecker; Dirk Wildgruber; Klaus Mathiak; Wolfgang Grodd; Hermann Ackermann
Journal:  Neuroimage       Date:  2003-03       Impact factor: 6.556

2.  The use of visual feedback and on-line target information in catching and grasping.

Authors:  Thomas Schenk; Barbara Mair; Josef Zihl
Journal:  Exp Brain Res       Date:  2003-09-12       Impact factor: 1.972

3.  Movement reversals in ball catching.

Authors:  G Montagne; M Laurent; A Durey; R Bootsma
Journal:  Exp Brain Res       Date:  1999-11       Impact factor: 1.972

4.  Neuropsychological predictors of complex obstacle avoidance in healthy older adults.

Authors:  C C Persad; B Giordani; H C Chen; J A Ashton-Miller; N B Alexander; C S Wilson; S Berent; K Guire; A B Schultz
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  1995-09       Impact factor: 4.077

5.  Gait variability and fall risk in community-living older adults: a 1-year prospective study.

Authors:  J M Hausdorff; D A Rios; H K Edelberg
Journal:  Arch Phys Med Rehabil       Date:  2001-08       Impact factor: 3.966

6.  Motor and cognitive function in Lewy body dementia: comparison with Alzheimer's and Parkinson's diseases.

Authors:  K K Gnanalingham; E J Byrne; A Thornton; M A Sambrook; P Bannister
Journal:  J Neurol Neurosurg Psychiatry       Date:  1997-03       Impact factor: 10.154

7.  Biomechanical gait alterations independent of speed in the healthy elderly: evidence for specific limiting impairments.

Authors:  D C Kerrigan; M K Todd; U Della Croce; L A Lipsitz; J J Collins
Journal:  Arch Phys Med Rehabil       Date:  1998-03       Impact factor: 3.966

8.  Effects of cognitive challenge on gait variability in patients with Parkinson's disease.

Authors:  Jeffrey M Hausdorff; Jackov Balash; Nir Giladi
Journal:  J Geriatr Psychiatry Neurol       Date:  2003-03       Impact factor: 2.680

9.  Progression of gait disorder and rigidity and risk of death in older persons.

Authors:  R S Wilson; J A Schneider; L A Beckett; D A Evans; D A Bennett
Journal:  Neurology       Date:  2002-06-25       Impact factor: 9.910

10.  Validity of a novel computerized cognitive battery for mild cognitive impairment.

Authors:  Tzvi Dwolatzky; Victor Whitehead; Glen M Doniger; Ely S Simon; Avraham Schweiger; Dena Jaffe; Howard Chertkow
Journal:  BMC Geriatr       Date:  2003-11-02       Impact factor: 3.921

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  163 in total

1.  One walk a year to 1000 within a year: continuous in-home unobtrusive gait assessment of older adults.

Authors:  Jeffrey Kaye; Nora Mattek; Hiroko Dodge; Teresa Buracchio; Daniel Austin; Stuart Hagler; Michael Pavel; Tamara Hayes
Journal:  Gait Posture       Date:  2011-11-01       Impact factor: 2.840

2.  Why does older adults' balance become less stable when walking and performing a secondary task? Examination of attentional switching abilities.

Authors:  Teresa D Hawkes; Ka-Chun Siu; Patima Silsupadol; Marjorie H Woollacott
Journal:  Gait Posture       Date:  2011-10-02       Impact factor: 2.840

Review 3.  The neurobiology of falls.

Authors:  Alfonso Fasano; Meir Plotnik; Francesco Bove; Alfredo Berardelli
Journal:  Neurol Sci       Date:  2012-06-05       Impact factor: 3.307

4.  A Pilot Study of Gait Function in Farmworkers in Eastern North Carolina.

Authors:  Ha T Nguyen; Stephen B Kritchevsky; Judy L Foxworth; Sara A Quandt; Phillip Summers; Francis O Walker; Thomas A Arcury
Journal:  J Agromedicine       Date:  2015       Impact factor: 1.675

Review 5.  Poor Gait Performance and Prediction of Dementia: Results From a Meta-Analysis.

Authors:  Olivier Beauchet; Cédric Annweiler; Michele L Callisaya; Anne-Marie De Cock; Jorunn L Helbostad; Reto W Kressig; Velandai Srikanth; Jean-Paul Steinmetz; Helena M Blumen; Joe Verghese; Gilles Allali
Journal:  J Am Med Dir Assoc       Date:  2016-02-04       Impact factor: 4.669

6.  [Gait changes as an early indicator of dementia].

Authors:  M Jamour; C Becker; M Synofzik; W Maetzler
Journal:  Z Gerontol Geriatr       Date:  2012-01       Impact factor: 1.281

7.  Gait asymmetry in patients with Parkinson's disease and elderly fallers: when does the bilateral coordination of gait require attention?

Authors:  Galit Yogev; Meir Plotnik; Chava Peretz; Nir Giladi; Jeffrey M Hausdorff
Journal:  Exp Brain Res       Date:  2007-03       Impact factor: 1.972

8.  Vision-enhancing interventions in nursing home residents and their short-term effect on physical and cognitive function.

Authors:  Amanda F Elliott; Gerald McGwin; Cynthia Owsley
Journal:  J Am Geriatr Soc       Date:  2008-12-11       Impact factor: 5.562

9.  Intraindividual variability in executive functions but not speed of processing or conflict resolution predicts performance differences in gait speed in older adults.

Authors:  Roee Holtzer; Jeannette Mahoney; Joe Verghese
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2013-11-27       Impact factor: 6.053

10.  Differential associations between dual-task walking abilities and usual gait patterns in healthy older adults-Results from the Baltimore Longitudinal Study of Aging.

Authors:  Seung-Uk Ko; Gerald J Jerome; Eleanor M Simonsick; Stephanie Studenski; Jeffrey M Hausdorff; Luigi Ferrucci
Journal:  Gait Posture       Date:  2018-04-27       Impact factor: 2.840

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