Literature DB >> 28038340

Spatio-temporal and kinematic gait analysis in patients with Frontotemporal dementia and Alzheimer's disease through 3D motion capture.

Rosaria Rucco1, Valeria Agosti1, Francesca Jacini1, Pierpaolo Sorrentino2, Pasquale Varriale1, Manuela De Stefano3, Graziella Milan4, Patrizia Montella3, Giuseppe Sorrentino5.   

Abstract

Alzheimer's disease (AD) and behavioral variant of Frontotemporal Dementia (bvFTD) are characterized respectively by atrophy in the medial temporal lobe with memory loss and prefrontal and anterior temporal degeneration with dysexecutive syndrome. In this study, we hypothesized that specific gait patterns are induced by either frontal or temporal degeneration. To test this hypothesis, we studied the gait pattern in bvFTD (23) and AD (22) patients in single and dual task ("motor" and "cognitive") conditions. To detect subtle alterations, we performed motion analysis estimating both spatio-temporal parameters and joint excursions. In the single task condition, the bvFTD group was more unstable and slower compared to healthy subjects, while only two stability parameters were compromised in the AD group. During the motor dual task, both velocity and stability parameters worsened further in the bvFTD group. In the same experimental conditions, AD patients showed a significantly lower speed and stride length than healthy subjects. During the cognitive dual task, a further impairment of velocity and stability parameters was observed in the bvFTD group. Interestingly, during the cognitive dual task, the gait performance of the AD group markedly deteriorated, as documented by the impairment of more indices of velocity and stability. Finally, the kinematic data of thigh, knee, and ankle were more helpful in revealing gait impairment than the spatio-temporal parameters alone. In conclusion, our data showed that the dysexecutive syndrome induces specific gait alterations. Furthermore, our results suggest that the gait worsens in the AD patients when the cognitive resources are stressed.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Alzheimer’s disease; Cognition; Executive functions; Frontotemporal dementia; Gait analysis; Kinematics

Mesh:

Year:  2016        PMID: 28038340     DOI: 10.1016/j.gaitpost.2016.12.021

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  17 in total

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Journal:  J Neurosci Methods       Date:  2019-11-12       Impact factor: 2.390

Review 2.  Loss of gait control assessed by cognitive-motor dual-tasks: pros and cons in detecting people at risk of developing Alzheimer's and Parkinson's diseases.

Authors:  Maroua Belghali; Nathalie Chastan; Fabien Cignetti; Damien Davenne; Leslie M Decker
Journal:  Geroscience       Date:  2017-05-27       Impact factor: 7.713

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Journal:  Mol Neurobiol       Date:  2022-05-17       Impact factor: 5.590

4.  Early manifestation of gait alterations in the Tg2576 mouse model of Alzheimer's disease.

Authors:  Anna Csiszar; Zoltan Ungvari; Stefano Tarantini; Adam Nyul-Toth; Jordan DelFavero; Peter Mukli; Amber Tarantini; Anna Ungvari; Andriy Yabluchanskiy
Journal:  Geroscience       Date:  2021-06-23       Impact factor: 7.713

Review 5.  Critical spatiotemporal gait parameters for individuals with dementia: A systematic review and meta-analysis.

Authors:  Rita Chiaramonte; Matteo Cioni
Journal:  Hong Kong Physiother J       Date:  2020-10-08

Review 6.  Type and Location of Wearable Sensors for Monitoring Falls during Static and Dynamic Tasks in Healthy Elderly: A Review.

Authors:  Rosaria Rucco; Antonietta Sorriso; Marianna Liparoti; Giampaolo Ferraioli; Pierpaolo Sorrentino; Michele Ambrosanio; Fabio Baselice
Journal:  Sensors (Basel)       Date:  2018-05-18       Impact factor: 3.576

7.  Mobility assessment in people with Alzheimer disease using smartphone sensors.

Authors:  Pilar Serra-Añó; José Francisco Pedrero-Sánchez; Juan Hurtado-Abellán; Marta Inglés; Gemma Victoria Espí-López; Juan López-Pascual
Journal:  J Neuroeng Rehabil       Date:  2019-08-14       Impact factor: 4.262

8.  Increases in hypertension-induced cerebral microhemorrhages exacerbate gait dysfunction in a mouse model of Alzheimer's disease.

Authors:  Ádám Nyúl-Tóth; Stefano Tarantini; Tamas Kiss; Peter Toth; Veronica Galvan; Amber Tarantini; Andriy Yabluchanskiy; Anna Csiszar; Zoltan Ungvari
Journal:  Geroscience       Date:  2020-08-25       Impact factor: 7.713

9.  Motor Phenotype in Neurodegenerative Disorders: Gait and Balance Platform Study Design Protocol for the Ontario Neurodegenerative Research Initiative (ONDRI).

Authors:  Manuel Montero-Odasso; Frederico Pieruccini-Faria; Robert Bartha; Sandra E Black; Elizabeth Finger; Morris Freedman; Barry Greenberg; David A Grimes; Robert A Hegele; Christopher Hudson; Peter W Kleinstiver; Anthony E Lang; Mario Masellis; Paula M McLaughlin; Douglas P Munoz; Stephen Strother; Richard H Swartz; Sean Symons; Maria Carmela Tartaglia; Lorne Zinman; Michael J Strong; William McIlroy
Journal:  J Alzheimers Dis       Date:  2017       Impact factor: 4.472

10.  Comparison of gait speeds from wearable camera and accelerometer in structured and semi-structured environments.

Authors:  Bradley Schneider; Tanvi Banerjee; Francis Grover; Michael Riley
Journal:  Healthc Technol Lett       Date:  2020-02-17
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