The activity in the contralateral primary motor cortex, dorsal premotor and supplementary motor area is modulated by performance gains

Frontiers in Human Neuroscience

Ronen eSosnik¹  Bjoern eHauptmann²  Anna eSterkin⁴  avi eKarni⁵  Tamar eFlash⁶ 

[1] Holon Institute of Technology (H.I.T.);MSH Medical School Hamburg;Segeberger Kliniken;Tel Aviv University;University of Haifa;Weizmann institute of Science;

关键词: fMRI;    motor learning;    co-articulation;    motion smoothness;    movement sequence;   

DOI  :  10.3389/fnhum.2014.00201

来源: DOAJ

【 摘 要 】

There is growing experimental evidence that the engagement of different brain areas in a given motor task may change with practice, although the specific brain activity patterns underlying different stages of learning, as defined by kinematic or dynamic performance indices, are not well understood. Here we studied the change in activation in motor areas during practice on sequences of handwriting-like trajectories, connecting four target points on a digitizing table 'as rapidly and as accurately as possible' while lying inside an fMRI scanner.

Analysis of the subjects' pooled kinematic and imaging data, acquired at the beginning, middle and end of the training period, revealed no correlation between the amount of activation in the contralateral M1, PM (dorsal and ventral), SMA, preSMA and PPC and the amount of practice per-se. Single trial analysis has revealed that the correlation between the amount of activation in the contralateral M1 and trial mean velocity was partially modulated by performance gains related effects, such as increased hand motion smoothness. Furthermore, it was found that the amount of activation in the contralateral preSMA increased when subjects shifted from generating straight point-to-point trajectories to their spatiotemporal concatenation into a smooth, curved trajectory. Altogether, our results indicate that the amount of activation in the contralateral M1, PMd and preSMA during the learning of movement sequences is correlated with performance gains and that high level motion features (e.g., motion smoothness) may modulate, or even mask correlations between activity changes and low-level motion attributes (e.g., trial mean velocity).

【 授权许可】

Unknown