摘要
Objective:To reveal the neural network of active and passive hand movements. Method:Seven healthy aged people were checked, and acquired functional magnetic resonance imaging data on a 1.5T scanner. Active movement consisted of repetitive grasping and loosening of hand; passive movement involved the same movement performed by examiner. Both types of hand movements were assessed separately. These data were analysed by Statistical Parametric Mapping Microsoft. Result:The main activated brain areas were the contralateral supplemental motor area, primary motor area, primary sensory area and the ipsilateral cerebellum when subjects gripped right hands actively and passively. The supplemental area was less active in passive hand movement than active hand movement. The activated brain areas were mainly within Brodmann area 4 during active hand movement; in the contrast, the voxels triggered by passive movement were mainly within Brodmann areas 3,1,2 areas. Conclusion:The results suggest that the neural networks of passive and active tasks spared some common areas, and the passive movement could be as effective as active movement to facilitate the recovery of limbs motor function in patients with brain damage.
Objective: To reveal the neural network of active and passive hand movements. Method: Seven healthy aged people were checked, and acquired functional magnetic resonance imaging data on a 1.5T scanner. Active movement consisted of repetitive grasping and loosening of hand; passive movement involved the same movement performed by examiner. Both types of hand movements were assessed separately. These data were analysed by Statistical Parametric Mapping Microsoft. Result: The main activated brain areas were the contralateral supplemental motor area, primary motor area, pri- mary sensory area and the ipsilateral cerebellum when subjects gripped right hands actively and passively. The supplemental area was less active in passive hand movement than active hand movement. The activated brain areas were mainly within Brodmann area 4 during active hand movement; in the contrast, the voxels triggered by passive movement were mainly within Brodmann areas 3,1,2 areas. Conclusion: The results suggest that the neural networks of passive and active tasks spared some common ar- eas, and the passive movement could be as effective as active movement to facilitate the recovery of limbs mo- tor function in patients with brain damage.
出处
《中国康复医学杂志》
CAS
CSCD
北大核心
2013年第6期523-527,共5页
Chinese Journal of Rehabilitation Medicine
基金
supported by the Key Projects of Shanghai Science and Technology on Biomedicine(NO.10DZ1950800)
the Major Project of Shanghai Zhabei District Health Bureau (No. 2011ZD01)
关键词
医疗康复
美国
医疗卫生行业
患者护理
passive movement
active movement
hand gripping
blood oxygen level dependent-functional mag- netic resonance imaging