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    題名: Dimensional complexity of neuromagnetic activity reduced during finger movement of greater difficulty
    作者: Wu, Yu-zu;Yang, Ting-hui;Lin, Yung-yang;Chen, Shyan-shiou;Liao, Kwong-kum;Chen, Li-fen;Yeh, Tzu-chen;Wu, Yu-te;Ho, Low-tone;Hsieh, Jen-chuen
    貢獻者: 淡江大學數學學系
    關鍵詞: Nonlinear dynamics;Magnetoencephalography;Correlation dimension;Hemispheric asymmetry;Neuronal connectivity;Task difficulty
    日期: 2006-11
    上傳時間: 2011-05-20 09:42:10 (UTC+8)
    出版者: Elsevier
    摘要: Objective
    We investigated the variation in dimensionality (D2) of neuromagnetic activity over the primary sensorimotor cortex (SM1) in healthy adults performing motor tasks of different difficulty.

    Methods
    Magnetoencephalography (MEG) was used to record neuromagnetic activity during self-paced, brisk unimanual finger extension at a rate of 1 and 2 Hz using the index finger of the dominant and non-dominant hands in 16 healthy subjects. Motor task difficulty was rated by the relative difference in time measurement between 1 and 2 Hz finger movements of both hands. The relative difference in dimensionality of SM1 activity was calculated by subtracting the D2 value in 2 Hz movement from that in 1 Hz one within subjects.

    Results
    Simple regression analyses show a significantly negative relationship between the relative dimensional complexity and the relative motor task difficulty in the contralateral SM1 for the left- (p < 0.05), but not the right- (p = 0.447) hand movement.

    Conclusions
    The present data suggest that a motor task of greater difficulty may engender a reduction of simultaneously active quasi-independent neuronal generators in the contralateral SM1 underpinned by stronger neuronal connectivity of a relatively low dimensionality.

    Significance
    The decrease in dimensional complexity of MEG activity associated with a motor task of greater difficulty gives new insights to motor control strategy.
    關聯: Clinical Neurophysiology 117(11), pp.2473-2481
    DOI: 10.1016/j.clinph.2006.06.715
    顯示於類別:[應用數學與數據科學學系] 期刊論文

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