Document Detail


Lack of maintenance of gait pattern as measured by instrumental methods suggests psychogenic gait.
MedLine Citation:
PMID:  23597435     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Fluctuation is a common feature of all psychogenic gait disorder (PGD) patterns. Whether this fluctuation involves only the degree of impairment or whether it affects the gait pattern itself remains an interesting question. We hypothesize that, on repeated measurements, both normal and abnormal gait may present quantitative differences while maintaining their basic underlying pattern; conversely, in psychogenic gait, the basic pattern appears not to be preserved. Using an optoelectronic system, data acquired from 19 normal subjects and 66 patients were applied to train a neural network (NN) and subsequently classify gait patterns into four different groups (normal, ataxic, spastic-paraparetic and parkinsonian). Five patients who fulfilled clinical criteria for psychogenic gait and six controls were then prospectively evaluated on two separate occasions, three months apart. Normal controls and ataxic, parkinsonian or spastic patients were correctly identified by the NN, and categorized within the corresponding groups at baseline as well as at a three-month follow-up evaluation. NN analysis showed that after three months, no PGD patient preserved the gait pattern detected at baseline, even though this finding was not clinically apparent. Modification of gait pattern detected by repeated kinematic measurement and NN analysis could suggest the presence of PGD, particularly in difficult-to-diagnose cases.
Authors:
Marcelo Merello; Diego Ballesteros; Malco Rossi; Julieta Arena; Marcos Crespo; Andres Cervio; Carolina Cuello Oderiz; Alberto Rivero; Daniel Cerquetti; Marcelo Risk; Jorge Balej
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Functional neurology     Volume:  27     ISSN:  0393-5264     ISO Abbreviation:  Funct. Neurol.     Publication Date:    2012 Oct-Dec
Date Detail:
Created Date:  2013-04-19     Completed Date:  2013-06-18     Revised Date:  2014-01-09    
Medline Journal Info:
Nlm Unique ID:  8707746     Medline TA:  Funct Neurol     Country:  Italy    
Other Details:
Languages:  eng     Pagination:  217-24     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Biomechanical Phenomena
Electronics / instrumentation,  methods
Female
Follow-Up Studies
Gait Disorders, Neurologic / diagnosis*,  psychology*
Humans
Male
Middle Aged
Neural Networks (Computer)
Prospective Studies
Psychophysiologic Disorders*
Walking / physiology
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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