Literature DB >> 31729168

Cognitive fatigability is a quantifiable distinct phenomenon in multiple sclerosis.

Silvia Tommasin1, Francesca De Luca2,3, Ilaria Ferrante2, Flavia Gurreri2, Letizia Castelli4, Serena Ruggieri1, Luca Prosperini5, Patrizia Pantano1,6, Carlo Pozzilli1,2, Laura De Giglio7.   

Abstract

Cognitive fatigability in multiple sclerosis represents the decrease in cognitive performance over time. It is a frequent symptom that negatively affects quality of life and ability to work. There are no objective measures of cognitive fatigability. This study aimed at quantifying cognitive fatigability despite the learning effect and to clarify whether cognitive fatigability represents a free-standing phenomenon rather than an aspect of cognitive impairment. We measured information processing speed with the Symbol Digit Modalities Test, and the number of right answers was recorded every 30 s for 180 s. We approximated the number of right answers as function of time with two logarithmic models, one including a first-order term alone and the other adding also a second-order term. The coefficient of the latter (B) may quantify performance deflection and may represent cognitive fatigability. We tested 173 patients with multiple sclerosis, including 119 cognitively impaired and 54 cognitively preserved patients, and 35 healthy subjects. The performance of cognitively preserved patients showed a deflection at the end of task that was detected neither in controls nor in cognitively impaired patients and needed a second-order term to be approximated (p < .03, F = 14.02). B was explained neither by depression nor fatigue. We proposed for the first time a method to quantify cognitive fatigue via a second-order least square fit model, easily usable in the clinical practice. By using this novel approach, cognitive fatigability results to be a free-standing phenomenon that is more evident in cognitively preserved than in cognitive impaired patients.
© 2019 The British Psychological Society.

Entities:  

Keywords:  Symbol Digit Modalities Test; cognitive fatigability; fatigue; modelling; multiple sclerosis

Year:  2019        PMID: 31729168     DOI: 10.1111/jnp.12197

Source DB:  PubMed          Journal:  J Neuropsychol        ISSN: 1748-6645            Impact factor:   2.864


  3 in total

1.  Italian translation and validation of fatigue symptoms and impacts questionnaire in relapsing multiple sclerosis (FSIQ-RMS).

Authors:  Ilaria Ruotolo; Giovanni Sellitto; Antonio Ianniello; Nikolaos Petsas; Letizia Castelli; Giovanni Galeoto; Anna Berardi; Valeria Barletta; Antonella Conte; Carlo Pozzilli
Journal:  Neurol Sci       Date:  2022-04-22       Impact factor: 3.830

Review 2.  Fatigue and Human Performance: An Updated Framework.

Authors:  Florian Husmann; Matthias Weippert; Martin Behrens; Martin Gube; Helmi Chaabene; Olaf Prieske; Alexandre Zenon; Kim-Charline Broscheid; Lutz Schega
Journal:  Sports Med       Date:  2022-10-18       Impact factor: 11.928

3.  Effects of a 6-Min Treadmill Walking Test on Dual-Task Gait Performance and Prefrontal Hemodynamics in People With Multiple Sclerosis.

Authors:  Kim-Charline Broscheid; Martin Behrens; Christian Dettmers; Michael Jöbges; Lutz Schega
Journal:  Front Neurol       Date:  2022-04-07       Impact factor: 4.086

  3 in total

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