AI Article Synopsis

  • The way people think about movements can change how well they can control brain-computer interfaces (BCIs) that relate to imagined motions.
  • Researchers studied how the order and complexity of action sequences affect this ability, using tasks with images and videos to help people remember the sequences better.
  • They found that more complicated action sequences, especially in a positive order, help improve brain responses and accuracy in motion imagery, leading to better performance with BCIs.

Article Abstract

The way people imagine greatly affects performance of brain-computer interface (BCI) based on motion imagery (MI). Action sequence is a basic unit of imitation, learning, and memory for motor behavior. Whether it influences the MI-BCI is unknown, and how to manifest this influence is difficult since the MI is a spontaneous brain activity. To investigate the influence of the action sequence, this study proposes a novel paradigm named action sequences observing and delayed matching task to use images and videos to guide people to observe, match and reinforce the memory of sequence. Seven subjects' ERPs and MI performance are analyzed under four different levels of complexities or orders of the sequence. Results demonstrated that the action sequence in terms of complexity and sequence order significantly affects the MI. The complex action in positive order obtains stronger ERD/ERS and more pronounced MI feature distributions, and yields an MI classification accuracy that is 12.3% higher than complex action in negative order ( < 0.05). In addition, the ERP amplitudes derived from the supplementary motor area show a positive correlation to the MI. This study demonstrates a new perspective of improving imagery in the MI-BCI by considering the complexity and order of the action sequences, and provides a novel index for manifesting the MI performance by ERP.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11297855PMC
http://dx.doi.org/10.1007/s11571-023-10030-8DOI Listing

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