Neural Plasticity in Sensorimotor Brain-Machine Interfaces

被引：6
|
作者：
Dadarlat, Maria C. [1 ]
Canfield, Ryan A. [2 ]
Orsborn, Amy L. [2 ,3 ,4 ]
机构：
[1] Purdue Univ, Weldon Sch Biomed Engn, W Lafayette, IN 47907 USA
[2] Univ Washington, Dept Bioengn, Seattle, WA USA
[3] Univ Washington, Dept Elect & Comp Engn, Seattle, WA USA
[4] Washington Natl Primate Res Ctr, Seattle, WA USA
来源：
ANNUAL REVIEW OF BIOMEDICAL ENGINEERING | 2023年 / 25卷
基金：
美国国家卫生研究院; 美国国家科学基金会;
关键词：
brain-machine interface; sensory; motor; learning; plasticity; neural circuits; LOCAL-FIELD POTENTIALS; COMPUTER INTERFACE; ELECTRICAL-STIMULATION; MOTOR CORTEX; INTRACORTICAL MICROSTIMULATION; CORTICAL REPRESENTATION; VISUOMOTOR ADAPTATION; SOMATOSENSORY CORTEX; AUDITORY-CORTEX; BARREL CORTEX;
D O I：
10.1146/annurev-bioeng-110220-110833
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Brain-machine interfaces (BMIs) aim to treat sensorimotor neurological disorders by creating artificial motor and/or sensory pathways. Introducing artificial pathways creates new relationships between sensory input and motor output, which the brain must learn to gain dexterous control. This review highlights the role of learning in BMIs to restore movement and sensation, and discusses how BMI design may influence neural plasticity and performance. The close integration of plasticity in sensory and motor function influences the design of both artificial pathways and will be an essential consideration for bidirectional devices that restore both sensory and motor function.
引用
收藏
页码：51 / 76
页数：26
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