Literature DB >> 26547546

Characterization and quantification of freezing of gait in Parkinson's disease: Can detection algorithms replace clinical expert opinion?

A Delval1, C Tard2, M Rambour3, L Defebvre3, C Moreau3.   

Abstract

Freezing of gait is a paroxysmal phenomenon that is frequently reported by the parkinsonian patients or their entourage. The phenomenon significantly alters quality of life but is often difficult to characterize in the physician's office. In the present review, we focus on the clinical characterization and quantification of freezing of gait. Various biomechanical methods (based mainly on time-frequency analysis) can be used to determine time-domain characteristics of freezing of gait. Methods already used to study non-gait freezing of other effectors (the lower limbs, upper limbs and orofacial area) are also being developed for the analysis of freezing in functional magnetic resonance imaging protocols. Here, we review the reliability of these methods and compare them with reliability of information obtained from physical examination and detailed analysis of the patient's medical history.
Copyright © 2015 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Freezing de la marche; Freezing of gait; Maladie de Parkinson; Parkinson's disease; Quantification

Mesh:

Year:  2015        PMID: 26547546     DOI: 10.1016/j.neucli.2015.09.009

Source DB:  PubMed          Journal:  Neurophysiol Clin        ISSN: 0987-7053            Impact factor:   3.734


  4 in total

1.  The clinical significance of freezing while turning in Parkinson's disease.

Authors:  Martina Mancini; Katrijn Smulders; Rajal G Cohen; Fay B Horak; Nir Giladi; John G Nutt
Journal:  Neuroscience       Date:  2016-12-09       Impact factor: 3.590

2.  Design and Synthesis of Fluorescent Methylphenidate Analogues for a FRET-Based Assay of Synapsin III Binding.

Authors:  Andrea Casiraghi; Francesca Longhena; Valentina Straniero; Gaia Faustini; Amy H Newman; Arianna Bellucci; Ermanno Valoti
Journal:  ChemMedChem       Date:  2020-06-16       Impact factor: 3.540

Review 3.  The Practicalities of Assessing Freezing of Gait.

Authors:  Claudia Barthel; Elizabeth Mallia; Bettina Debû; Bastiaan R Bloem; Murielle Ursulla Ferraye
Journal:  J Parkinsons Dis       Date:  2016-10-19       Impact factor: 5.568

4.  Using Wearable Sensors and Machine Learning to Automatically Detect Freezing of Gait during a FOG-Provoking Test.

Authors:  Tal Reches; Moria Dagan; Talia Herman; Eran Gazit; Natalia A Gouskova; Nir Giladi; Brad Manor; Jeffrey M Hausdorff
Journal:  Sensors (Basel)       Date:  2020-08-10       Impact factor: 3.576

  4 in total

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