Multisensory integration for motor control and adaptation.
Multisensory integration for motor control and adaptation.
复制标题
用于运动控制和适应的多感官集成。
DOI：
10.1080/00222895.2012.747306
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发表时间：
2012
影响因子：
1.4
通讯作者：
Sainburg,RobertL
中科院分区：
文献类型：
--
作者：
HelmsTillery,Stephen;Sainburg,RobertL
San Juan, Puerto Rico. NCM is an international community of scientists, clinician-investigators, educators, and students whose common goal is to understand how the brain controls movement. The society’s mission is to provide a forum for advancing knowledge on the structure and function of neural systems underlying the control of movement and their associated disorders (http://ncm-society. org/). The April 2011 meeting in Puerto Rico exemplified these goals. In this special issue of Journal of Motor Behavior, we emphasize and expand on selected research on multisensory integration and motor adaptation presented at this meeting. For many decades now, sensorimotor research has revealed remarkable intricacies in the bidirectional relationships between input from individual sensory systems and motor output. At the same time, research on multisensory integration has expanded our appreciation of additional computational problems that have to be solved, and our understanding of the anatomical and functional organization of the neural systems that underlie solutions to those problems (Ernst & Bülthoff, 2004; Sarlegna & Sainburg, 2009; Sober & Sabes, 2005). Our increased understanding of that complexity is reflected by rapid developments in applied neural sciences such as rehabilitation and neural engineering. For example, research on sensory integration and motor adaptation has contributed to the development of brain machine interfaces for the restoration of movement, adaptive environmental control and communication in disabled individuals (Lebedev & Nicolelis, 2006; Mussa-Ivaldi & Miller, 2003; Schwartz, Cui, Weber, & Moran, 2006), as well as to the development of rehabilitation devices, such as robotic interfaces for training stroke patients and patients with spinal cord injuries (Dıaz, Gil, & Sánchez, 2011; Hidler & Sainburg, 2011). This area of research is currently inspiring the development of training protocols that alter sensory feedback for enhancing motor learning in virtual environments (Patton & Huang, 2012). This special issue presents seven articles that address sensorimotor integration for the adaptive control of voluntary movements. The topics range from the fundamentals of finger coordination to details of engineering human-machine interfaces. Rincon-Gonzalez, Naufel, Santos, and Helms Tillery present evidence that the coding of tactile features is embedded in a proprioceptive frame of reference that provides the structure for haptic perception. Weber, Friesen, and Miller address how the nervous system transforms sensory information arising in the periphery into central representations in the cortex, with the goal of developing principles for the design of neural prosthetics. Casadio, Ranganathan, and Mussa-Ivaldi directly apply principles of sensorimotor integration to the design and implementation of human-machine interfaces for facilitating adaptive motor control in rehabilitation. The importance of multisensory integration in adaptive control is further emphasized by Henriques and Cressman, who review the effects of visual and proprioceptive integration on motor adaptation, including how discrepancies between these modalities alters adaptation. Seidler, Bo, and Anguera describe an overlap between cognitive learning processes and motor learning processes, focusing on the importance of spatial working memory on motor adaptation. Mutha, Haaland, and Sainburg describe evidence that voluntary movements are subserved by specialized mechanisms in each cerebral hemisphere, which results in hemispherespecific motor control and adaptation deficits in patients with unilateral stroke. Finally, Wu, Pazin, Zatsiorsky, and …
