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Prior Knowledge of Target Direction and Intended Movement Selection Improves Indirect Reaching Movement Decoding
Hongbao Li1,2,3,4, Yaoyao Hao1,2, Shaomin Zhang1,2,3,4
1Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou 310027, China.
Behavioural Neurology
|May 12, 2017
Summary
Neural decoders benefit from dorsal premotor cortex (PMd) data for movement decoding. Incorporating target direction and intended movement selection from the PMd significantly improves decoding performance in complex, obstacle-avoidance tasks.
Area of Science:
- Neuroscience
- Motor Control
- Computational Neuroscience
Background:
- Previous research indicates dorsal premotor cortex (PMd) target direction information enhances neural decoders for movement planning.
- The efficacy of such decoders in complex tasks with obstacles, requiring indirect reaching, remains unexplored.
Purpose of the Study:
- To investigate the encoding of target direction and intended movement selection in PMd neural activity during obstacle-avoidance tasks.
- To compare the decoding performance of movement trajectories using different neural decoders incorporating varying levels of prior knowledge.
Main Methods:
- Recorded spike activities from the PMd of two monkeys performing a delayed obstacle-avoidance task.
- Examined neural population activity for encoding of target direction and intended movement selection during movement planning.
- Compared decoding performance using three mixture of trajectory models (MTM): no prior knowledge, target direction only, and both target direction and intended movement selection.
Main Results:
- Neural activity in the PMd encodes both target direction and intended movement selection during planning.
- Quantitative analysis confirmed the presence of both movement planning parameters in neural signals.
- The trajectory decoder integrating both target direction and intended movement selection demonstrated superior performance.
Conclusions:
- Prior knowledge of target direction and intended movement selection from the PMd significantly enhances hand trajectory decoding.
- This approach is effective for improving decoding performance in indirect reaching movements within complex, obstacle-impeded tasks.

