Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center, Houston, TX 77030, USA.
Brain Res. 2010 Mar 8;1318:64-76. doi: 10.1016/j.brainres.2009.12.073. Epub 2010 Jan 4.
Structural equation modeling (SEM) and fMRI were used to test whether changes in the regional activity are accompanied by changes in the inter-regional connectivity as motor practice progresses. Ten healthy subjects were trained to perform finger movement task daily for 4 weeks. Three sessions of fMRI images were acquired within 4 weeks. The changes in inter-regional connectivity were evaluated by measuring the effective connectivity between the primary motor area (M1), supplementary motor area (SMA), dorsal premotor cortex (PMd), basal ganglia (BG), cerebellum (CB), and posterior ventrolateral prefrontal cortex (pVLPFC). The regional activities in M1 and SMA increased from pre-training to week 2 and decreased from week 2 to week 4. The inter-regional connectivity generally increased in strength (with SEM path coefficients becoming more positive or negative) as practice progressed. The increases in the strength of the inter-regional connectivity may reflect long-term reorganization of the skilled motor network. We suggest that the performance gain was achieved by dynamically tuning the inter-regional connectivity in the motor network.
结构方程模型（SEM）和 fMRI 被用来测试随着运动练习的进展，区域活动的变化是否伴随着区域间连接的变化。10 名健康受试者每天接受手指运动任务训练，为期 4 周。在 4 周内采集了 3 次 fMRI 图像。通过测量初级运动区（M1）、辅助运动区（SMA）、背侧运动前皮质（PMd）、基底节（BG）、小脑（CB）和后腹外侧前额叶皮质（pVLPFC）之间的有效连接，评估区域间连接的变化。从训练前到第 2 周，M1 和 SMA 的区域活动增加，从第 2 周到第 4 周，区域活动减少。随着练习的进展，区域间连接的强度通常会增加（SEM 路径系数变得更正或更负）。区域间连接强度的增加可能反映了熟练运动网络的长期重组。我们认为，通过动态调整运动网络中的区域间连接，实现了性能的提高。
