A novel technique for examining human brain activity associated with pedaling using fMRI
A novel technique for examining human brain activity associated with pedaling using fMRI
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DOI：
10.1016/j.jneumeth.2009.01.029
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发表时间：
2009-05-15
影响因子：
3
通讯作者：
Schindler-Ivens, Sheila M.
中科院分区：
文献类型：
--
作者：
Mehta, Jay P.;Verber, Matthew D.;Schindler-Ivens, Sheila M.
神经成像技术的进步，如功能磁共振成像(FMRI)，使在运动任务期间获得人类大脑活动的图像成为可能。然而，技术上的挑战使得在多关节的下肢运动中很难对大脑进行成像，比如那些涉及运动的运动。我们开发了一种与MR兼容的踏板设备，并记录了与有节奏的、交替的下肢屈曲和伸展相关的人脑活动。10名志愿者以每分钟30转的速度骑车，同时在GE 3T短孔磁共振扫描仪中记录功能磁共振信号。我们采用了一种由3次踏板组成的方块设计，每次持续4分钟。在一次跑步中，受试者先骑行30次S，然后休息30次S。这一序列重复4次。传统的fMRI处理技术将整个BOLD信号与标准模型相关联，无法提取有生理意义的信号，这可能是由于腿部运动导致的磁场扭曲。因此，我们只检查了无运动期的部分血氧水平依赖(BOLD)信号。这项技术利用了粗体信号的延迟特性，并与标准模型的运动停止后信号的下降部分相匹配。使用这种方法，我们观察到了与初级和次级感觉、运动皮质和小脑的踏板相关的生理上可信的大脑活动模式。据我们所知，这是第一次用功能磁共振记录与踏板相关的人类大脑活动。这项技术可能有助于促进我们对健康和疾病中脊柱上运动样运动的控制的理解。(C)2009爱思唯尔B.V.保留所有权利。
Advances in neural imaging technologies, such as functional magnetic resonance imaging (fMRI), have made it possible to obtain images of human brain activity during motor tasks. However, technical challenges have made it difficult to image the brain during multijoint lower limb movements like those involved in locomotion. We developed an MR compatible pedaling device and recorded human brain activity associated with rhythmic, alternating flexion and extension of the lower extremities. Ten volunteers pedaled at 30 RPM while recording fMRI signals in a GE 3T short bore MR scanner. We utilized a block design consisting of 3 runs of pedaling, each lasting 4 min. In a single run, subjects pedaled for 30 s and then rested for 30 s. This sequence was repeated 4 times. Conventional fMRI processing techniques, that correlate the entire BOLD signal with standard model, did not extract physiologically meaningful signal, likely due to magnetic field distortion caused by leg movement. Hence, we examined only the portion of the blood-oxygen-level dependent (BOLD) signal during movement-free periods. This technique takes advantage of the delayed nature of the BOLD signal and fits the falling portion of the signal after movement has stopped with a standard model. Using this approach, we observed physiologically plausible brain activity patterns associated with pedaling in the primary and secondary sensory and motor cortices and the cerebellum. To our knowledge, this is the first time that human brain activity associated with pedaling has been recorded with fMRI. This technique may be useful for advancing our understanding of supraspinal control of locomotor-like movements in health and disease. (C) 2009 Elsevier B.V. All rights reserved.