Literature DB >> 25237744

Movement planning and online control in multiple sclerosis: assessment using a Fitts law reciprocal aiming task.

Anne-Marie S Ternes1, Joanne Fielding, Louise A Corben, Owen B White, John L Bradshaw, Darren R Hocking, Nellie Georgiou-Karistianis.   

Abstract

OBJECTIVE: We sought to quantify subtle changes in motor control in multiple sclerosis (MS) using a Fitts law reciprocal aiming task presented on a computer touchscreen.
BACKGROUND: Upper-limb motor control is impaired in MS. However, many commonly used motor assessments do not detect subtle changes in motor function or differentiate between aspects of movement such as planning and online control. Fitts law states that movement time varies as a function of task difficulty, with smaller targets and greater distances making the task more difficult.
METHODS: We gave a Fitts aiming task to 22 patients with MS and 22 matched controls. We manipulated movement difficulty by changing the targets' size and distance apart.
RESULTS: The patients spent a significantly longer time than the controls stationary in each target before starting the next movement, and had a lower peak velocity, suggesting deficits in movement planning. The patients also spent longer in the deceleration phase of each movement, indicating deficits in the online control of movement.
CONCLUSIONS: The computerized Fitts task allows quick, easy, and sensitive measurement of subtle aspects of movement. This task should be useful in clinical and research settings for assessing MS motor symptoms, disease progression, and treatment efficacy.

Entities:  

Mesh:

Year:  2014        PMID: 25237744     DOI: 10.1097/WNN.0000000000000036

Source DB:  PubMed          Journal:  Cogn Behav Neurol        ISSN: 1543-3633            Impact factor:   1.600


  6 in total

1.  Altered sensorimotor cortical oscillations in individuals with multiple sclerosis suggests a faulty internal model.

Authors:  David J Arpin; Elizabeth Heinrichs-Graham; James E Gehringer; Rana Zabad; Tony W Wilson; Max J Kurz
Journal:  Hum Brain Mapp       Date:  2017-05-09       Impact factor: 5.038

2.  Assessing proprioceptive acuity in people with multiple sclerosis.

Authors:  Serena Goldlist; Darrin O Wijeyaratnam; Thomas Edwards; Lara A Pilutti; Erin K Cressman
Journal:  Mult Scler J Exp Transl Clin       Date:  2022-07-05

3.  Is There Any Relationship between Upper and Lower Limb Impairments in People with Multiple Sclerosis? A Kinematic Quantitative Analysis.

Authors:  Giancarlo Coghe; Federica Corona; Giuseppina Pilloni; Micaela Porta; Jessica Frau; Lorena Lorefice; Giuseppe Fenu; Eleonora Cocco; Massimiliano Pau
Journal:  Mult Scler Int       Date:  2019-10-09

4.  Characterising Upper Limb Movements in Huntington's Disease and the Impact of Restricted Visual Cues.

Authors:  Jessica Despard; Anne-Marie Ternes; Bleydy Dimech-Betancourt; Govinda Poudel; Andrew Churchyard; Nellie Georgiou-Karistianis
Journal:  PLoS One       Date:  2015-08-06       Impact factor: 3.240

5.  Assessing visually guided reaching in people with multiple sclerosis with and without self-reported upper limb impairment.

Authors:  Darrin O Wijeyaratnam; Thomas Edwards; Lara A Pilutti; Erin K Cressman
Journal:  PLoS One       Date:  2022-01-21       Impact factor: 3.240

6.  Dual Task Effects on Speed and Accuracy During Cognitive and Upper Limb Motor Tasks in Adults With Stroke Hemiparesis.

Authors:  Hogene Kim; Hyun-Ki Kim; Nayoung Kim; Chang S Nam
Journal:  Front Hum Neurosci       Date:  2021-06-17       Impact factor: 3.169

  6 in total

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