Lack of maintenance of gait pattern as measured by instrumental methods suggests psychogenic gait

Merello, Marcelo and Ballesteros, Diego and Rossi, Malco and Arena, Julieta and Crespo, Marcos and Cervio, Andres and Cuello Oderiz, Carolina and Rivero, Alberto and Cerquetti, Daniel and Risk, Marcelo and Balej, Jorge (2012) Lack of maintenance of gait pattern as measured by instrumental methods suggests psychogenic gait. Functional Neurology, 27 (4). pp. 217-224. ISSN 1971-3274

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Abstract

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 sepa- rate 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.

Item Type: Article
Uncontrolled Keywords: gait analysis, neural network, psychogenic gait
Subjects: 600 Tecnologia - Scienze applicate > 610 Medicina e salute (Classificare qui la tecnologia dei servizi medici)
Depositing User: Marina Spanti
Date Deposited: 08 Jan 2016 12:13
Last Modified: 08 Jan 2016 12:13
URI: http://eprints.bice.rm.cnr.it/id/eprint/10746

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