Literature DB >> 29036826

What Can Quantitative Gait Analysis Tell Us about Dementia and Its Subtypes? A Structured Review.

Ríona Mc Ardle1, Rosie Morris1,2, Joanna Wilson1, Brook Galna1,3, Alan J Thomas1, Lynn Rochester1,2.   

Abstract

Distinguishing dementia subtypes can be difficult due to similarities in clinical presentation. There is increasing interest in discrete gait characteristics as markers to aid diagnostic algorithms in dementia. This structured review explores the differences in quantitative gait characteristics between dementia and healthy controls, and between four dementia subtypes under single-task conditions: Alzheimer's disease (AD), dementia with Lewy bodies and Parkinson's disease dementia, and vascular dementia. Twenty-six papers out of an initial 5,211 were reviewed and interpreted using a validated model of gait. Dementia was associated with gait characteristics grouped by slower pace, impaired rhythm, and increased variability compared to normal aging. Only four studies compared two or more dementia subtypes. People with AD are less impaired in pace, rhythm, and variability domains of gait compared to non-AD dementias. Results demonstrate the potential of gait as a clinical marker to discriminate between dementia subtypes. Larger studies using a more comprehensive battery of gait characteristics and better characterized dementia sub-types are required.

Entities:  

Keywords:  Alzheimer’s disease; Lewy body dementia; biomarker; cognition; cognitive impairment; diagnosis

Mesh:

Year:  2017        PMID: 29036826     DOI: 10.3233/JAD-170541

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  14 in total

Review 1.  Overview of the cholinergic contribution to gait, balance and falls in Parkinson's disease.

Authors:  Rosie Morris; Douglas N Martini; Tara Madhyastha; Valerie E Kelly; Thomas J Grabowski; John Nutt; Fay Horak
Journal:  Parkinsonism Relat Disord       Date:  2019-02-14       Impact factor: 4.891

Review 2.  Cerebrovascular disease in patients with cognitive impairment: A white paper from the ESO dementia committee - A practical point of view with suggestions for the management of cerebrovascular diseases in memory clinics.

Authors:  Ana Verdelho; Geert Jan Biessels; Hugues Chabriat; Andreas Charidimou; Marco Duering; Olivier Godefroy; Leonardo Pantoni; Aleksandra Pavlovic; Joanna Wardlaw
Journal:  Eur Stroke J       Date:  2021-02-07

3.  Predicting Dementia from Decline in Gait Speed: Are We There Yet?

Authors:  Caterina Rosano; Beth E Snitz
Journal:  J Am Geriatr Soc       Date:  2018-04-02       Impact factor: 5.562

4.  Aβ42/Aβ40 and Aβ42/Aβ38 Ratios Are Associated with Measures of Gait Variability and Activities of Daily Living in Mild Alzheimer's Disease: A Pilot Study.

Authors:  Ivan Koychev; Brook Galna; Henrik Zetterberg; Jennifer Lawson; Giovanna Zamboni; Basil H Ridha; James B Rowe; Alan Thomas; Robert Howard; Paresh Malhotra; Craig Ritchie; Simon Lovestone; Lynn Rochester
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

Review 5.  The Role of Movement Analysis in Diagnosing and Monitoring Neurodegenerative Conditions: Insights from Gait and Postural Control.

Authors:  Christopher Buckley; Lisa Alcock; Ríona McArdle; Rana Zia Ur Rehman; Silvia Del Din; Claudia Mazzà; Alison J Yarnall; Lynn Rochester
Journal:  Brain Sci       Date:  2019-02-06

6.  Association Between Motor and Cognitive Performances in Elderly With Atrial Fibrillation: Strat-AF Study.

Authors:  Emilia Salvadori; Francesco Galmozzi; Francesca Uda; Carmen Barbato; Eleonora Camilleri; Francesca Cesari; Stefano Chiti; Stefano Diciotti; Samira Donnini; Benedetta Formelli; Silvia Galora; Betti Giusti; Anna Maria Gori; Chiara Marzi; Anna Melone; Damiano Mistri; Francesca Pescini; Giovanni Pracucci; Valentina Rinnoci; Cristina Sarti; Enrico Fainardi; Rossella Marcucci; Anna Poggesi
Journal:  Front Neurol       Date:  2020-11-13       Impact factor: 4.003

7.  Alzheimer's Disease Classification With a Cascade Neural Network.

Authors:  Zeng You; Runhao Zeng; Xiaoyong Lan; Huixia Ren; Zhiyang You; Xue Shi; Shipeng Zhao; Yi Guo; Xin Jiang; Xiping Hu
Journal:  Front Public Health       Date:  2020-11-03

8.  Machine learning classifies predictive kinematic features in a mouse model of neurodegeneration.

Authors:  Ruyi Huang; Ali A Nikooyan; Bo Xu; M Selvan Joseph; Hamidreza Ghasemi Damavandi; Nathan von Trotha; Lilian Li; Ashok Bhattarai; Deeba Zadeh; Yeji Seo; Xingquan Liu; Patrick A Truong; Edward H Koo; J C Leiter; Daniel C Lu
Journal:  Sci Rep       Date:  2021-02-17       Impact factor: 4.379

9.  Effects of a 16-week multimodal exercise program on gait performance in individuals with dementia: a multicenter randomized controlled trial.

Authors:  Sandra Trautwein; Bettina Barisch-Fritz; Andrea Scharpf; Steffen Ringhof; Thorsten Stein; Janina Krell-Roesch; Alexander Woll
Journal:  BMC Geriatr       Date:  2020-07-16       Impact factor: 3.921

10.  Home-Based Gait Training Using Rhythmic Auditory Cues in Alzheimer's Disease: Feasibility and Outcomes.

Authors:  Joanne E Wittwer; Margaret Winbolt; Meg E Morris
Journal:  Front Med (Lausanne)       Date:  2020-01-31
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