Skip to main content

Advertisement

Log in

Anti-Dementia Drugs, Gait Performance and Mental Imagery of Gait: A Non-Randomized Open-Label Trial

  • Original Research Article
  • Published:
Drugs & Aging Aims and scope Submit manuscript

Abstract

Background

Few studies have examined the effect of anti-dementia drugs (i.e., acetylcholinesterase inhibitors and N-methyl-d-aspartate receptor antagonists) on gait performance. Past studies have focused on the stride time (i.e., gait cycle duration) but not on the mental imagery of gait.

Objectives

To compare mental imagery of gait and spatiotemporal gait parameters in patients with dementia [i.e., Alzheimer’s disease (AD) and non-AD] before and after the use of anti-dementia drugs (i.e., acetylcholinesterase inhibitors and memantine) and in controls (i.e., patients with dementia who did not take anti-dementia drugs).

Methods

A total of 112 patients (mean age 82.5 ± 4.2 years, 68.8 % female) with mild-to-moderate AD and non-AD dementia were included in this non-randomized open-label trial (n = 56 in the Intervention group, and n = 56 in the Control group matched for age, sex, and stage and type of dementia) nested in a cohort study (mean follow-up 238.5 ± 79.8 days). Mental imagery of gait was assessed with the actual and imagined Timed Up and Go tests (aTUG and iTUG) and the difference between aTUG and iTUG (i.e., delta-TUG). Spatiotemporal gait parameters were measured with the GAITRite® system during normal walking.

Results

Participants in the Intervention group had a longer iTUG time (p < 0.001) and a lower delta-TUG value (p = 0.001) at the follow-up compared with those in the Control group. There was a significant increase in iTUG (p = 0.001) and decrease in delta-TUG (p < 0.001) from baseline to the follow-up only in the Intervention group. Multiple linear regression showed that the use of anti-dementia drugs was associated with a longer iTUG time and a lower delta-TUG value (best performance, p < 0.002).

Conclusions

Our findings showed an improvement in mental imagery of gait with the use of anti-dementia drugs, but no changes in actual gait performance.

Trial registration

NCT01315704.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Scherder E, Eggermont L, Swaab D, et al. Gait in ageing and associated dementias; its relationship with cognition. Neurosci Biobehav Rev. 2007;31:485–97.

    Article  PubMed  Google Scholar 

  2. Verghese J, Wang C, Lipton RB, Holtzer R. Motoric cognitive risk syndrome and the risk of dementia. J Gerontol A Biol Sci Med Sci. 2013;68:412–8.

    Article  PubMed  Google Scholar 

  3. Beauchet O, Annweiler C, Callisaya ML, et al. Poor gait performance and prediction of dementia: results from a meta-analysis. J Am Med Dir Assoc. 2016;17:482–90.

    Article  PubMed  Google Scholar 

  4. Allali G, Annweiler C, Blumen HM, et al. Gait phenotype from mild cognitive impairment to moderate dementia: results from the GOOD initiative. Eur J Neurol. 2016;23:527–41.

    Article  CAS  PubMed  Google Scholar 

  5. Zimmerman ME, Lipton RB, Pan JW, et al. MRI- and MRS-derived hippocampal correlates of quantitative locomotor function in older adults. Brain Res. 2009;1291:73–81.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Seidler RD, Bernard JA, Burutolu TB, et al. Motor control and aging: links to age-related brain structural, functional, and biochemical effects. Neurosci Biobehav Rev. 2010;34:721–33.

    Article  CAS  PubMed  Google Scholar 

  7. Beauchet O, Launay C, Annweiler C, Allali G. Hippocampal volume, early cognitive decline and gait variability: which association? Exp Gerontol. 2015;61:98–104.

    Article  PubMed  Google Scholar 

  8. Beauchet O, Launay CP, Fantino B, et al. Episodic memory and executive function impairments in non-demented older adults: which are the respective and combined effects on gait performances? Age (Dordr). 2015;37:9812.

    PubMed  Google Scholar 

  9. Beauchet O, Annweiler C, Montero-Odasso M, et al. Gait control: a specific subdomain of executive function? J Neuroeng Rehabil. 2012;9:12.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Watson NL, Rosano C, Boudreau RM, et al. Executive function, memory, and gait speed decline in well-functioning older adults. J Gerontol A Biol Sci Med Sci. 2010;65:1093–100.

    Article  CAS  PubMed  Google Scholar 

  11. Hausdorff JM, Yogev G, Springer S, et al. Walking is more like catching than tapping: gait in the elderly as a complex cognitive task. Exp Brain Res. 2005;164:541–8.

    Article  PubMed  Google Scholar 

  12. Allali G, Dubois B, Assal F, et al. Frontotemporal dementia: pathology of gait? Mov Disord. 2010;25:723–9.

    Article  Google Scholar 

  13. Yogev-Seligmann G, Hausdorff JM, Giladi N. The role of executive function and attention in gait. Mov Disord. 2008;23:329–42.

    Article  PubMed  Google Scholar 

  14. Tsuno N. Donepezil in the treatment of patients with Alzheimer’s disease. Expert Rev Neurother. 2009;9:591–8.

    Article  CAS  PubMed  Google Scholar 

  15. Onor ML, Trevisiol M, Aguglia E. Rivastigmine in the treatment of Alzheimer’s disease: an update. Clin Interv Aging. 2007;2:17–32.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. McKeage K. Memantine: a review of its use in moderate to severe Alzheimer’s disease. CNS Drugs. 2009;23:881–97.

    Article  CAS  PubMed  Google Scholar 

  17. Areosa SA, Sherriff F, McShane R. Memantine for dementia. Cochrane Database Syst Rev. 2005;3:CD003154.

    PubMed  Google Scholar 

  18. Beauchet O, Launay CP, Montero-Odasso M, et al. Anti-dementia drugs-related changes in gait performance while single and dual tasking in patients with Alzheimer disease: a meta-analysis. Curr Alzheimer Res. 2015;12:761–71.

    Article  CAS  PubMed  Google Scholar 

  19. Beauchet O, Launay CP, Allali G, Annweiler C. Changes in gait variability with anti-dementia drugs: a systematic review and meta-analysis. CNS Drugs. 2014;28:513–8.

    Article  CAS  PubMed  Google Scholar 

  20. Beauchet O, Allali G, Annweiler C, et al. Gait variability among healthy adults: low and high stride-to-stride variability are both a reflection of gait stability. Gerontology. 2009;55(6):702–6.

    Article  PubMed  Google Scholar 

  21. Gabell A, Nayak US. The effect of age on variability in gait. J Gerontol. 1984;39:662–6.

    Article  CAS  PubMed  Google Scholar 

  22. Jeannerod M. Mental imagery in the motor context. Neuropsychologia. 1995;33:1419–32.

    Article  CAS  PubMed  Google Scholar 

  23. Mulder T. Motor imagery and action observation: cognitive tools for rehabilitation. J Neural Transm. 2007;114:1265–78.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Beauchet O, Launay CP, Fantino B, et al. Respective and combined effects of impairments in sensorimotor systems and cognition on gait performance: a population-based cross-sectional study. PLoS One. 2015;10:e0125102.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Beauchet O, Annweiler C, Assal F, et al. Imagined Timed Up & Go test: a new tool to assess higher-level gait and balance disorders in older adults? J Neurol Sci. 2010;294:102–6.

    Article  PubMed  Google Scholar 

  26. Allali G, Laidet M, Assal F, et al. Adapted Timed Up and Go: a rapid clinical test to assess gait and cognition in multiple sclerosis. Eur Neurol. 2012;67:116–20.

    Article  CAS  PubMed  Google Scholar 

  27. Beauchet O, Launay CP, Sejdić E, et al. Motor imagery of gait: a new way to detect mild cognitive impairment? J Neuroeng Rehabil. 2014;11:66.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Allali G, Annweiler C, Predovan D, et al. Brain volume changes in gait control in patients with mild cognitive impairment compared to cognitively healthy individuals; GAIT study results. Exp Gerontol. 2016;76:72–9.

    Article  PubMed  Google Scholar 

  29. Beauchet O, Launay CP, Allali G, et al. Anti-dementia drugs and changes in gait: a pre-post quasi-experimental pilot study. BMC Neurol. 2013;13:184.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Haute Autorité de Santé. Maladie d’Alzheimer et maladies apparentées: diagnostic et prise en charge. Available from: http://www.has-sante.fr/portail/upload/docs/application/pdf/2011-12/recommandation_maladie_d_alzheimer_et_maladies_apparentees_diagnostic_et_prsie_en_charge.pdf. Accessed 2016 Aug 16.

  31. Ebersbach G, Baas H, Csoti I, et al. Scales in Parkinson’s disease. J Neurol. 2006;253:iv32–5.

    Article  PubMed  Google Scholar 

  32. Shah A, Herbert R, Lewis S, et al. Screening for depression among acutely ill geriatric inpatients with a short Geriatric Depression Scale. Age Ageing. 1997;26:217–21.

    Article  CAS  PubMed  Google Scholar 

  33. Folstein MF, Folstein SE, McHugh PR. “Mini-mental state”: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12:189–98.

    Article  CAS  PubMed  Google Scholar 

  34. Dubois B, Slachevsky A, Litvan I, Pillon B. The FAB: a Frontal Assessment Battery at bedside. Neurology. 2000;55:1621–6.

    Article  CAS  PubMed  Google Scholar 

  35. McKhann G, Drachman D, Folstein M, et al. Clinical diagnosis of Alzheimer’s disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer’s Disease. Neurology. 1984;34:939–44.

    Article  CAS  PubMed  Google Scholar 

  36. Kressig RW, Beauchet O. Guidelines for clinical applications of spatio-temporal gait analysis in older adults. Aging Clin Exp Res. 2006;18:174–6.

    Article  PubMed  Google Scholar 

  37. Guillot A, Collet C, Nguyen VA, et al. Functional neuroanatomical networks associated with expertise in motor imagery. Neuroimage. 2008;41:1471–83.

    Article  PubMed  Google Scholar 

  38. Bakker M, Verstappen CC, Bloem BR, Toni I. Recent advances in functional neuroimaging of gait. J Neural Transm. 2007;114:1323–31.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Wang C, Wai Y, Kuo B, et al. Cortical control of gait in healthy humans: an fMRI study. J Neural Transm. 2008;115:1149–58.

    Article  PubMed  Google Scholar 

  40. Allali G, van der Meulen M, Beauchet O, et al. The neural basis of age-related changes in motor imagery of gait: an fMRI study. J Gerontol A Biol Sci Med Sci. 2014;69:1389–98.

    Article  PubMed  Google Scholar 

  41. Panel on Prevention of Falls in Older Persons, American Geriatrics Society and British Geriatrics Society. Summary of the updated American Geriatrics Society/British Geriatrics Society clinical practice guideline for prevention of falls in older persons. J Am Geriatr Soc. 2011;59:148–57. doi:10.1111/j.1532-5415.2010.03234.x.

    Article  Google Scholar 

  42. de Decker L, Launay C, Annweiler C, et al. Number of drug classes taken per day may be used to assess morbidity burden in older inpatients: a pilot cross-sectional study. J Am Geriatr Soc. 2013;61:1224–5.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

The authors are grateful to the participants for their cooperation. Dr. Beauchet had full access to the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analyses. Study concept and design: Drs. Beauchet and Allali. Acquisition of data: Drs. Beauchet and Annweiler. Analysis and interpretation of data: Drs. Beauchet and Allali. Drafting of the manuscript: Drs. Beauchet and Allali. Critical revision of the manuscript for important intellectual content: Drs. Annweiler, Barden, Liu-Ambrose, Chester, Szturm, Grenier, Léonard, and Bherer. Statistical expertise: Dr. Beauchet. Administrative, technical, or material support: Drs. Beauchet and Annweiler. Study supervision: Drs. Beauchet and Allali.

Author information

Authors and Affiliations

Authors

Consortia

Corresponding author

Correspondence to Olivier Beauchet.

Ethics declarations

Funding

No funding was received for the preparation of this manuscript.

Conflict of interest

Drs. Beauchet, Barden, Liu-Ambrose, Chester, Annweiler, Szturm, Grenier, Léonard, Louis Bherer, and Allali confirm that they have no conflict of interest.

Ethics approval and consent to participate

The study was conducted in accordance with the ethical standards set forth in the Helsinki Declaration (1983). The local ethical committee of Angers, France approved the study protocol. Informed consent for participation in the study was obtained from all participants. The trial registration number is NCT01315704.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Beauchet, O., Barden, J., Liu-Ambrose, T. et al. Anti-Dementia Drugs, Gait Performance and Mental Imagery of Gait: A Non-Randomized Open-Label Trial. Drugs Aging 33, 665–673 (2016). https://doi.org/10.1007/s40266-016-0391-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40266-016-0391-0

Keywords

Navigation