Karim Helmet T, Sparto Patrick J, Aizenstein Howard J, Furman Joseph M, Huppert Theodore J, Erickson Kirk I, Loughlin Patrick J
University of Pittsburgh, Department of Radiology, USA.
University of Pittsburgh, Department of Physical Therapy, USA; University of Pittsburgh, Department of Otolaryngology, USA; University of Pittsburgh, Department of Bioengineering, USA.
Brain Res. 2014 Mar 25;1555:20-7. doi: 10.1016/j.brainres.2014.01.033. Epub 2014 Jan 27.
Human postural control, which relies on information from vestibular, visual, and proprioceptive inputs, degrades with aging, and falls are the leading cause of injury in older adults. In the last decade, functional neuroimaging studies have been performed in order to gain a greater understanding of the supraspinal control of balance and walking. It is known that active balancing involves cortical and subcortical structures in the brain, but neuroimaging of the brain during these tasks has been limited. The study of the effect of aging on the functional neuroimaging of posture and gait has only recently been undertaken. In this study, an MRI-compatible force platform was developed to simulate active balance control. Eleven healthy participants (mean age 75±5 yr) performed an active balance simulation task by using visual feedback to control anterior-posterior center of pressure movements generated by ankle dorsiflexor (DF) and plantarflexor (PF) movements, in a pattern consistent with upright stance control. An additional ankle DF/PF exertion task was performed. During both the active balance simulation and the ankle DF/PF tasks, the bilateral fusiform gyrus and middle temporal gyrus, right inferior, middle, and superior frontal gyrii were activated. No areas were found to be more active during the ankle DF/PF task when compared with the active balance simulation task. When compared to the ankle DF/PF task, the active balance simulation task elicited greater activation in the middle and superior temporal gyrii, insula, and a large cluster that covered the corpus callosum, superior and medial frontal gyrii, as well as the anterior cingulate and caudate nucleus. This study demonstrates the utility in using a force platform to simulate active balance control during MR imaging that elicits activity in cortical regions consistent with studies of active balance and mental imagery of balance.
人类的姿势控制依赖于前庭、视觉和本体感觉输入的信息,随着年龄增长而退化,跌倒则是老年人受伤的主要原因。在过去十年中,已经进行了功能神经影像学研究,以便更深入地了解平衡和行走的脊髓上控制。众所周知,主动平衡涉及大脑中的皮质和皮质下结构,但在这些任务期间对大脑的神经成像一直有限。关于衰老对姿势和步态功能神经成像影响的研究直到最近才开展。在本研究中,开发了一种与MRI兼容的力平台来模拟主动平衡控制。11名健康参与者(平均年龄75±5岁)通过使用视觉反馈来控制由踝背屈肌(DF)和跖屈肌(PF)运动产生的前后压力中心运动,以与直立姿势控制一致的模式进行主动平衡模拟任务。还进行了额外的踝DF/PF用力任务。在主动平衡模拟和踝DF/PF任务期间,双侧梭状回和颞中回、右侧额下回、额中回和额上回被激活。与主动平衡模拟任务相比,未发现踝DF/PF任务期间有更活跃的区域。与踝DF/PF任务相比,主动平衡模拟任务在颞中回和颞上回、岛叶以及一个覆盖胼胝体、额上回和额内侧回以及前扣带回和尾状核的大簇中引发了更大的激活。这项研究证明了在磁共振成像期间使用力平台模拟主动平衡控制的实用性,这种模拟在皮质区域引发的活动与主动平衡和平衡心理意象的研究一致。