Literature DB >> 30688092

The feasibility of using robotic technology to quantify sensory, motor, and cognitive impairments associated with ALS.

Leif Simmatis1, Ghada Atallah1, Stephen H Scott1,2,3, Sean Taylor1,2.   

Abstract

OBJECTIVE: We used the KINARM robot to quantify impairments in cognitive and upper-limb sensorimotor performance in a cohort of people with amyotrophic lateral sclerosis (ALS). We sought to study the feasibility of using this technology for ALS research, to quantify patterns of impairments in individuals living with ALS, and elucidate correlations between robotic and traditional clinical behavioral measures.
METHODS: Participants completed robot-based behavioral tasks testing sensorimotor, cognitive, and proprioceptive performance. Performance on robotic tasks was normalized to a large healthy control cohort (no neurological impairments), adjusted for age. Task impairment was defined as performance outside the 95% range of controls. Traditional clinical tests included: Frontal Assessment Battery (FAB), ALS Functional Rating Scale-Revised (ALSFRS-R), and Montreal Cognitive Assessment (MoCA).
RESULTS: Seventeen people with ALS were assessed. Two participants reported pain or discomfort from the robot's seat and 2 others reported discomfort from arm position during the assessment (both rectified and did not affect exam completion). Participants were able to perform the majority of the robotic tasks, although 9 participants were unable to complete 1 or more tasks. Between 20 and 69% of participants displayed sensorimotor impairments; 19 and 69% displayed cognitive task impairments; 25% displayed proprioceptive impairments. MoCA was impaired in 9/17 participants; 10/17 had impaired performance on FAB. MoCA and FAB correlated well with robot-based measures of cognition.
CONCLUSION: Use of robotic assessment is generally feasible for people with ALS. Individuals with ALS have sensorimotor impairments as expected, and some demonstrate substantial cognitive impairments.

Entities:  

Mesh:

Year:  2019        PMID: 30688092     DOI: 10.1080/21678421.2018.1550515

Source DB:  PubMed          Journal:  Amyotroph Lateral Scler Frontotemporal Degener        ISSN: 2167-8421            Impact factor:   4.092


  8 in total

1.  The feasibility of assessing cognitive and motor function in multiple sclerosis patients using robotics.

Authors:  Leif Er Simmatis; Albert Y Jin; Sean W Taylor; Etienne J Bisson; Stephen H Scott; Moogeh Baharnoori
Journal:  Mult Scler J Exp Transl Clin       Date:  2020-10-15

2.  Impairments in Cognitive Control Using a Reverse Visually Guided Reaching Task Following Stroke.

Authors:  Catherine R Lowrey; Sean P Dukelow; Stephen D Bagg; Benjamin Ritsma; Stephen H Scott
Journal:  Neurorehabil Neural Repair       Date:  2022-05-16       Impact factor: 4.895

3.  Statistical measures of motor, sensory and cognitive performance across repeated robot-based testing.

Authors:  Leif E R Simmatis; Spencer Early; Kimberly D Moore; Simone Appaqaq; Stephen H Scott
Journal:  J Neuroeng Rehabil       Date:  2020-07-02       Impact factor: 4.262

4.  Robotic tests for position sense and movement discrimination in the upper limb reveal that they each are highly reproducible but not correlated in healthy individuals.

Authors:  Catherine R Lowrey; Benett Blazevski; Jean-Luc Marnet; Helen Bretzke; Sean P Dukelow; Stephen H Scott
Journal:  J Neuroeng Rehabil       Date:  2020-07-25       Impact factor: 4.262

Review 5.  New technologies and Amyotrophic Lateral Sclerosis - Which step forward rushed by the COVID-19 pandemic?

Authors:  Susana Pinto; Stefano Quintarelli; Vincenzo Silani
Journal:  J Neurol Sci       Date:  2020-08-05       Impact factor: 3.181

Review 6.  Review: How Can Intelligent Robots and Smart Mechatronic Modules Facilitate Remote Assessment, Assistance, and Rehabilitation for Isolated Adults With Neuro-Musculoskeletal Conditions?

Authors:  S Farokh Atashzar; Jay Carriere; Mahdi Tavakoli
Journal:  Front Robot AI       Date:  2021-04-12

7.  Reverse Visually Guided Reaching in Patients with Parkinson's Disease.

Authors:  Pauline Gaprielian; Stephen H Scott; Ron Levy
Journal:  Parkinsons Dis       Date:  2022-03-28

Review 8.  Emerging technologies for management of patients with amyotrophic lateral sclerosis: from telehealth to assistive robotics and neural interfaces.

Authors:  Raffaele Pugliese; Riccardo Sala; Stefano Regondi; Benedetta Beltrami; Christian Lunetta
Journal:  J Neurol       Date:  2022-01-21       Impact factor: 6.682

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.