Prior Knowledge of Target Direction and Intended Movement Selection Improves Indirect Reaching Movement Decoding

• Main Authors: Hongbao Li, Yaoyao Hao, Shaomin Zhang, Yiwen Wang, Weidong Chen, Xiaoxiang Zheng
• Format: Article
• Language: English
• Published: Hindawi Limited 2017-01-01
• Series: Behavioural Neurology
• Online Access: http://dx.doi.org/10.1155/2017/2182843
• ISSN: 0953-4180; 1875-8584

Objective. Previous studies have demonstrated that target direction information presented by the dorsal premotor cortex (PMd) during movement planning could be incorporated into neural decoder for achieving better decoding performance. It is still unknown whether the neural decoder combined with only target direction could work in more complex tasks where obstacles impeded direct reaching paths. Methods. In this study, spike activities were collected from the PMd of two monkeys when performing a delayed obstacle-avoidance task. We examined how target direction and intended movement selection were encoded in neuron population activities of the PMd during movement planning. The decoding performances of movement trajectory were compared for three neural decoders with no prior knowledge, or only target direction, or both target direction and intended movement selection integrated into a mixture of trajectory model (MTM). Results. We found that not only target direction but also intended movement selection was presented in neural activities of the PMd during movement planning. It was further confirmed by quantitative analysis. Combined with prior knowledge, the trajectory decoder achieved the best performance among three decoders. Conclusion. Recruiting prior knowledge about target direction and intended movement selection extracted from the PMd could enhance the decoding performance of hand trajectory in indirect reaching movement.