Brain activation changes during locomotion in middle-aged to older adults with multiple sclerosis
Brain activation changes during locomotion in middle-aged to older adults with multiple sclerosis
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DOI：
10.1016/j.jns.2016.10.002
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发表时间：
2016-11-15
影响因子：
4.4
通讯作者：
Motl, Robert W.
中科院分区：
文献类型：
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作者：
Hernandez, Manuel E.;Holtzer, Roee;Motl, Robert W.
活动性和认知障碍在多发性硬化症（MS）患者中很常见，并且预计会随着年龄的增长而恶化。然而，到目前为止，部分由于传统神经成像方法的局限性，还没有研究检查老年MS患者主动运动期间大脑激活模式的变化。本研究使用功能性近红外光谱（fNIRS）来评估单次运动期间中老年MS患者和健康对照者之间前额皮质（PFC）的实时神经激活差异。（正常行走; NW）和双任务（边走边说; WWT）运动任务。8名中年至老年MS患者和8名健康对照在执行NW和WWT任务时进行fNIRS记录，fNIRS帽由位于前额上的16个光电点组成。与健康对照组相比，MS组在WWT期间PFC氧合水平升高更大。在运动过程中，两组之间的行走性能没有差异。这些发现表明，中年至老年MS患者可能能够通过使用增加的大脑激活来实现类似的表现水平。本研究首次采用fNIRS技术研究了MS患者在执行简单和分散注意运动任务时的脑激活变化。(C)© 2016 Elsevier B. V.版权所有。
Mobility and cognitive impairments are common in persons with multiple sclerosis (MS), and are expected to worsen with increasing age. However, no studies, to date, in part due to limitations of conventional neuroimaging methods, have examined changes in brain activation patterns during active locomotion in older patients with MS. This study used functional Near Infrared Spectroscopy (fNIRS) to evaluate real-time neural activation differences in the pre-frontal cortex (PFC) between middle-aged to older adults with MS and healthy controls during single (Normal Walk; NW) and dual-task (Walking While Talking; WWT) locomotion tasks. Eight middle-aged to older adults with MS and eight healthy controls underwent fNIRS recording while performing the NW and WWT tasks with an fNIRS cap consisting of 16 optodes positioned over the forehead. The MS group had greater elevations in PFC oxygenation levels during WWT compared to NW than healthy controls. There was no walking performance difference between groups during locomotion. These findings suggest that middle-aged to older individuals with MS might be able to achieve similar levels of performance through the use of increased brain activation. This study is the first to investigate brain activation changes during the performance of simple and divided-attention locomotion tasks in MS using fNIRS. (C) 2016 Elsevier B.V. All rights reserved.