Literature DB >> 22711158

Dynamics of saccade parameters in multiple sclerosis patients with fatigue.

Carsten Finke1, Luisa Maria Pech, Carina Sömmer, Jeremias Schlichting, Sarah Stricker, Matthias Endres, Florian Ostendorf, Christoph J Ploner, Alexander U Brandt, Friedemann Paul.   

Abstract

Fatigue is one of the most frequent and disabling symptoms in multiple sclerosis (MS). Its pathophysiology remains poorly understood and objective measures to quantify fatigue are unavailable to date. To investigate whether analysis of ocular motor movements can provide diagnostic information in MS patients with fatigue, 37 MS patients (21 female, age 44 ± 9 years) and 20 age- and gender-matched healthy controls were prospectively recruited. Fatigue was assessed with the fatigue severity scale (FSS). Twenty-five MS patients were fatigued (defined as FSS ≥ 4) and 12 MS patients were not. Subjects performed a saccadic fatigue task that required execution of uniform saccades over a period of 10 min. Saccadic amplitude, latency and peak velocities during the task were analysed and selected parameters were tested in a receiver operating characteristic (ROC) analysis. Fatigued patients showed a significantly larger decrease of saccadic peak velocity and amplitude when compared to patients without fatigue and healthy controls. Furthermore, fatigued patients showed significantly longer latencies compared to non-fatigued patients and healthy controls. Peak velocity change over time and latencies correlated with FSS scores. The best parameter to discriminate between fatigued and non-fatigued patients was peak velocity change over time (ROC; area under the curve = 0.857). Assessment of peak velocity, amplitude and latency in a saccade fatigue task is a promising approach for quantifying fatigue in MS patients.

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Year:  2012        PMID: 22711158     DOI: 10.1007/s00415-012-6565-8

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  33 in total

1.  Fatigue in multiple sclerosis: a comparison of different rating scales and correlation to clinical parameters.

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Journal:  Mult Scler       Date:  2002-12       Impact factor: 6.312

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Journal:  Lancet       Date:  2006-01-28       Impact factor: 79.321

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Journal:  Neurology       Date:  1999-09-11       Impact factor: 9.910

6.  The relationship between subjective fatigue and cognitive fatigue in advanced multiple sclerosis.

Authors:  A Bailey; S Channon; J G Beaumont
Journal:  Mult Scler       Date:  2007-01       Impact factor: 6.312

7.  Using fast eye movements to study fatigue in multiple sclerosis.

Authors:  M Matta; R J Leigh; M Pugliatti; I Aiello; A Serra
Journal:  Neurology       Date:  2009-09-08       Impact factor: 9.910

Review 8.  Fatigue associated with multiple sclerosis: diagnosis, impact and management.

Authors:  Rohit Bakshi
Journal:  Mult Scler       Date:  2003-06       Impact factor: 6.312

9.  Fatigue and its association with sociodemographic variables among multiple sclerosis patients.

Authors:  A Lerdal; E G Celius; T Moum
Journal:  Mult Scler       Date:  2003-10       Impact factor: 6.312

10.  Impaired predictive motor timing in patients with cerebellar disorders.

Authors:  Martin Bares; Ovidiu Lungu; Tao Liu; Tobias Waechter; Christopher M Gomez; James Ashe
Journal:  Exp Brain Res       Date:  2007-01-26       Impact factor: 2.064

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  11 in total

Review 1.  Neuro-ophthalmology update.

Authors:  Konrad P Weber; Dominik Straumann
Journal:  J Neurol       Date:  2013-09-26       Impact factor: 4.849

2.  Capturing saccades in multiple sclerosis with a digitized test of rapid number naming.

Authors:  Clotilde Hainline; John-Ross Rizzo; Todd E Hudson; Weiwei Dai; Joel Birkemeier; Jenelle Raynowska; Rachel C Nolan; Lisena Hasanaj; Ivan Selesnick; Teresa C Frohman; Elliot M Frohman; Steven L Galetta; Laura J Balcer; Janet C Rucker
Journal:  J Neurol       Date:  2017-04-07       Impact factor: 4.849

Review 3.  [Therapy of fatigue in multiple sclerosis : A treatment algorithm].

Authors:  C Veauthier; F Paul
Journal:  Nervenarzt       Date:  2016-12       Impact factor: 1.214

4.  Epigallocatechin-3-gallate: a useful, effective and safe clinical approach for targeted prevention and individualised treatment of neurological diseases?

Authors:  Anja Mähler; Silvia Mandel; Mario Lorenz; Urs Ruegg; Erich E Wanker; Michael Boschmann; Friedemann Paul
Journal:  EPMA J       Date:  2013-02-18       Impact factor: 6.543

Review 5.  Ultrahigh field MRI in clinical neuroimmunology: a potential contribution to improved diagnostics and personalised disease management.

Authors:  Friedemann Paul; Jens Wuerfel; Tim Sinnecker; Joseph Kuchling; Petr Dusek; Jan Dörr; Thoralf Niendorf
Journal:  EPMA J       Date:  2015-08-27       Impact factor: 6.543

Review 6.  Vision and vision-related outcome measures in multiple sclerosis.

Authors:  Laura J Balcer; David H Miller; Stephen C Reingold; Jeffrey A Cohen
Journal:  Brain       Date:  2014-11-28       Impact factor: 13.501

Review 7.  Eye Movement Abnormalities in Multiple Sclerosis: Pathogenesis, Modeling, and Treatment.

Authors:  Alessandro Serra; Clara G Chisari; Manuela Matta
Journal:  Front Neurol       Date:  2018-02-05       Impact factor: 4.003

8.  Oculomotor Fatigue and Neuropsychological Assessments mirror Multiple Sclerosis Fatigue.

Authors:  Wolfgang H Zangemeister; Christof Heesen; Dorit Röhr; Stefan M Gold
Journal:  J Eye Mov Res       Date:  2020-09-13       Impact factor: 0.957

9.  Eye movements discriminate fatigue due to chronotypical factors and time spent on task--a double dissociation.

Authors:  Dario Cazzoli; Chrystalina A Antoniades; Christopher Kennard; Thomas Nyffeler; Claudio L Bassetti; René M Müri
Journal:  PLoS One       Date:  2014-01-22       Impact factor: 3.240

10.  A standardized protocol for quantification of saccadic eye movements: DEMoNS.

Authors:  J A Nij Bijvank; A Petzold; L J Balk; H S Tan; B M J Uitdehaag; M Theodorou; L J van Rijn
Journal:  PLoS One       Date:  2018-07-16       Impact factor: 3.240

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