Bimanual coordination engages a distributed network of brain areas, the spatiotemporal organization of which has given rise to intense debates. Do bimanual movements require information processing in the same set of brain areas that are engaged by movements of the individual components (left and right hands)? Or is it necessary that other brain areas are recruited to help in the act of coordination? These two possibilities are often considered as mutually exclusive, with studies yielding support for one or the other depending on techniques and hypotheses. However, as yet there is no account of how the two views may work together dynamically. Using the method of Mode-Level Cognitive Subtraction (MLCS) on high density EEG recorded during unimanual and bimanual movements, we expose spatiotemporal reorganization of large-scale cortical networks during stable inphase and antiphase coordination and transitions between them. During execution of stable bimanual coordination patterns, neural dynamics were dominated by temporal modulation of unimanual networks. At instability and transition, there was evidence for recruitment of additional areas. Our study provides a framework to quantify large-scale network mechanisms underlying complex cognitive tasks often studied with macroscopic neurophysiological recordings.

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http://dx.doi.org/10.1016/j.neuroimage.2012.05.046DOI Listing

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Article Synopsis
  • The study used fMRI to explore how our brains control bimanual movements, focusing on the importance of practicing both chord formation and sequence control.
  • Thirty-five right-handed volunteers performed tasks to assess their ability to coordinate movements, with results showing that both types of practice led to improved reaction times, indicating learning.
  • Key brain areas involved in this process were identified as the left primary motor area (M1), anterior cingulate cortex, and cerebellar vermis, highlighting their roles in learning to coordinate complex bimanual movements.
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