Literature DB >> 29467306

Gait analysis in PSP and NPH: Dual-task conditions make the difference.

Charlotte Selge1, Florian Schoeberl2, Andreas Zwergal2, Georg Nuebling2, Thomas Brandt2, Marianne Dieterich2, Roman Schniepp2, Klaus Jahn2.   

Abstract

OBJECTIVE: To test whether quantitative gait analysis of gait under single- and dual-task conditions can be used for a differential diagnosis of progressive supranuclear palsy (PSP) and idiopathic normal-pressure hydrocephalus (iNPH).
METHODS: In this cross-sectional study, temporal and spatial gait parameters were analyzed in 38 patients with PSP (Neurological Disorders and Stroke and Society for Progressive Supranuclear Palsy diagnostic criteria), 27 patients with iNPH (international iNPH guidelines), and 38 healthy controls. A pressure-sensitive carpet was used to examine gait under 5 conditions: single task (preferred, slow, and maximal speed), cognitive dual task (walking with serial 7 subtractions), and motor dual task (walking while carrying a tray).
RESULTS: The main results were as follows. First, both patients with PSP and those with iNPH exhibited significant gait dysfunction, which was worse in patients with iNPH with a more broad-based gait (p < 0.001). Second, stride time variability was increased in both patient groups, more pronounced in PSP (p = 0.009). Third, cognitive dual task led to a greater reduction of gait velocity in PSP (PSP 34.4% vs iNPH 16.9%, p = 0.002). Motor dual task revealed a dissociation of gait performance: patients with PSP considerably worsened, but patients with iNPH tended to improve.
CONCLUSION: Patients with PSP seem to be more sensitive to dual-task perturbations than patients with iNPH. An increased step width and anisotropy of the effect of dual-task conditions (cognitive vs motor) seem to be good diagnostic tools for iNPH.
© 2018 American Academy of Neurology.

Entities:  

Mesh:

Year:  2018        PMID: 29467306     DOI: 10.1212/WNL.0000000000005168

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  9 in total

1.  Rehabilitation effects in idiopathic normal pressure hydrocephalus: a randomized controlled trial.

Authors:  Yasutaka Nikaido; Hideyuki Urakami; Yohei Okada; Toshihiro Akisue; Yuki Kawami; Naoya Ishida; Yoshinaga Kajimoto; Ryuichi Saura
Journal:  J Neurol       Date:  2022-09-07       Impact factor: 6.682

2.  Dual-Task Performance in Older Adults With and Without Idiopathic Normal Pressure Hydrocephalus.

Authors:  Otto Lilja-Lund; Lars Nyberg; Martin Maripuu; Katarina Laurell
Journal:  Front Aging Neurosci       Date:  2022-05-30       Impact factor: 5.702

3.  Quantitative Gait Analysis and Cerebrospinal Fluid Tap Test for Idiopathic Normal-pressure Hydrocephalus.

Authors:  Yong-Hyun Lim; Pan-Woo Ko; Ki-Su Park; Sung Kyoo Hwang; Sung-Hee Kim; Jaehwan Han; Uicheul Yoon; Ho-Won Lee; Kyunghun Kang
Journal:  Sci Rep       Date:  2019-11-07       Impact factor: 4.379

Review 4.  The Pathogenesis Based on the Glymphatic System, Diagnosis, and Treatment of Idiopathic Normal Pressure Hydrocephalus.

Authors:  Changwu Tan; Xiaoqiang Wang; Yuchang Wang; Chuansen Wang; Zhi Tang; Zhiping Zhang; Jingping Liu; Gelei Xiao
Journal:  Clin Interv Aging       Date:  2021-01-15       Impact factor: 4.458

5.  The timed up and go test in idiopathic normal pressure hydrocephalus: a Nationwide Study of 1300 patients.

Authors:  Nina Sundström; Johanna Rydja; Johan Virhammar; Lena Kollén; Fredrik Lundin; Mats Tullberg
Journal:  Fluids Barriers CNS       Date:  2022-01-10

6.  Physical Capacity and Activity in Patients With Idiopathic Normal Pressure Hydrocephalus.

Authors:  Johanna Rydja; Lena Kollén; Martin Ulander; Mats Tullberg; Fredrik Lundin
Journal:  Front Neurol       Date:  2022-03-28       Impact factor: 4.003

Review 7.  Key gait findings for diagnosing three syndromic categories of dynamic instability in patients with balance disorders.

Authors:  Roman Schniepp; Ken Möhwald; Max Wuehr
Journal:  J Neurol       Date:  2020-05-27       Impact factor: 4.849

8.  Quantitative gait analysis of idiopathic normal pressure hydrocephalus using deep learning algorithms on monocular videos.

Authors:  Sungmoon Jeong; Hosang Yu; Jaechan Park; Kyunghun Kang
Journal:  Sci Rep       Date:  2021-06-11       Impact factor: 4.379

9.  Gait pattern analysis and clinical subgroup identification: a retrospective observational study.

Authors:  Sunghyon Kyeong; Seung Min Kim; Suk Jung; Dae Hyun Kim
Journal:  Medicine (Baltimore)       Date:  2020-04       Impact factor: 1.817

  9 in total

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