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首页> 外文期刊>The European Journal of Neuroscience >Functional connectivity in the resting-state motor networks influences the kinematic processes during motor sequence learning
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Functional connectivity in the resting-state motor networks influences the kinematic processes during motor sequence learning

机译:静止状态电机网络中的功能连通性会影响电机序列学习期间的运动过程

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Neuroimaging studies support the involvement of the cerebello-cortical and striato-cortical motor loops in motor sequence learning. Here, we investigated whether the gain of motor sequence learning could depend on a-priori resting-state functional connectivity (rsFC) between motor areas and structures belonging to these circuits. Fourteen healthy subjects underwent a resting-state functional magnetic resonance imaging session. Afterward, they were asked to reproduce a verbally-learned sequence of finger opposition movements as fast and as accurately as possible. All subjects increased their movement rate with practice, by reducing the touch duration and/or intertapping interval. The rsFC analysis showed that, at rest, the left and right primary motor cortex (M1) and left and right supplementary motor area (SMA) were mainly connected with other motor areas. The covariate analysis taking into account the different kinematic parameters indicated that the subjects achieving greater movement rate increase were those showing stronger rsFC of the left M1 and SMA with the right lobule VIII of the cerebellum. Notably, the subjects with greater intertapping interval reduction showed stronger rsFC of the left M1 and SMA with the association nuclei of the thalamus. Conversely, the regression analysis with the right M1 and SMA seeds showed only a few significant clusters for the different covariates not located in the cerebellum and thalamus. No common clusters were found between the right M1 and SMA. All of these findings indicated important functional connections at rest of those neural circuits responsible for motor learning improvement, involving the motor areas related to the hemisphere directly controlling the finger movements, the thalamus and cerebellum.
机译:神经影像学研究支持小脑皮层和纹状体皮层运动回路参与运动序列学习。在这里,我们研究了电机序列学习的增益是否可能取决于电机区域和属于这些电路的结构之间的先验静止状态功能连通性(rsFC)。 14名健康受试者进行了静息状态功能磁共振成像会议。之后,要求他们尽可能快,尽可能准确地重现口头学习的手指相反运动序列。通过缩短触摸持续时间和/或插值间隔,所有受试者均可通过练习提高运动速度。 rsFC分析显示,静止时,左右主运动皮层(M1)和左右辅助运动区(SMA)主要与其他运动区相连。考虑不同运动学参数的协变量分析表明,运动速率增加较大的受试者是那些显示左M1和SMA的rsFC更强,右小叶VIII的rsFC更强的受试者。值得注意的是,具有更大的间隔间隔减少的受试者显示出左M1和SMA与丘脑缔合核的rsFC较强。相反,对正确的M1和SMA种子进行的回归分析显示,对于不在小脑和丘脑中的不同协变量,只有几个重要的簇。在正确的M1和SMA之间未发现常见簇。所有这些发现表明,在其余负责运动学习改善的神经回路中,重要的功能连接涉及涉及与半球直接控制手指运动,丘脑和小脑相关的运动区域。

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