Lateralized Functional Connectivity of the Sensorimotor Cortex and its Variations During Complex Visuomotor Tasks

Author:

Yang (杨炀) Yang,Li (李君君) Junjun,Zhao (赵恺) KaiORCID,Tam Fred,Graham Simon J.,Xu (徐敏) MinORCID,Zhou (周可) Ke

Abstract

Previous studies have shown that the left hemisphere dominates motor function, often observed through homotopic activation measurements. Using a functional connectivity approach, this study investigated the lateralization of the sensorimotor cortex during handwriting and drawing, two complex visuomotor tasks with varying contextual demands. We found that both left- and right-lateralized connectivity in the primary motor cortex (M1), dorsal premotor cortex (PMd), somatosensory cortex, and visual regions were evident in adults (males and females), primarily in an interhemispheric integrative fashion. Critically, these lateralization tendencies remained highly invariant across task contexts, representing a task-invariant neural architecture for encoding fundamental motor programs consistently implemented in different task contexts. Additionally, the PMd exhibited a slight variation in lateralization degree between task contexts, reflecting the ability of the high-order motor system to adapt to varying task demands. However, connectivity-based lateralization of the sensorimotor cortex was not detected in 10-year-old children (males and females), suggesting that the maturation of connectivity-based lateralization requires prolonged development. In summary, this study demonstrates both task-invariant and task-sensitive connectivity lateralization in sensorimotor cortices that support the resilience and adaptability of skilled visuomotor performance. These findings align with the hierarchical organization of the motor system and underscore the significance of the functional connectivity-based approach in studying functional lateralization.

Funder

the National Science and Technology Innovation 2030 Major Program

the National Natural Science Foundation of China

the scientific and technological invovation 2030-the major project of the Brain Science and Brain-Inspired Intelligence Technology

the Beijing Natural Science Foundation

Shenzhen-Hong Kong Institute of Brain Science

Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences

Publisher

Society for Neuroscience

Subject

General Neuroscience

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