Pengju Liu , Rong Liu , Chih-Hsiu Cheng , Lizhen Wang , Yubo Fan
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引用次数: 0
Abstract
The rubber hand illusion (RHI), where people experience a sense of ownership over a rubber hand, has been researched by various neuroimaging methods. Here we used functional near-infrared spectroscopy (fNIRS) to analyze the activation and functional connectivity of related brain regions under RHI. Meanwhile, three brain functional network parameters were calculated and analyzed: degree, clustering coefficient, and characteristic path length. fNIRS results showed that under RHI, the oxyhemoglobin (HbO) concentration increased in the prefrontal cortex (PFC), motor cortex (MC) and occipital lobe (OL). The functional connectivity between right PFC and bilateral OL was increased, while the connection level between left MC and bilateral OL was decreased. Brain network under RHI condition had smaller average degree, average clustering coefficient, and shorter average characteristic path length. Notably, the information processing and exchange functions of left MC seem to be weakened under RHI state, which was also partially corroborated by the reduced local efficiency shown in brain functional network analysis. Overall, we suggest that enhanced functional connectivity between the right MC, OL and PFC, and functional inhibition of the left MC were key to RHI production. The study significance lies in enhancing understanding of body ownership and sensory integration.
期刊介绍:
Medical Engineering & Physics provides a forum for the publication of the latest developments in biomedical engineering, and reflects the essential multidisciplinary nature of the subject. The journal publishes in-depth critical reviews, scientific papers and technical notes. Our focus encompasses the application of the basic principles of physics and engineering to the development of medical devices and technology, with the ultimate aim of producing improvements in the quality of health care.Topics covered include biomechanics, biomaterials, mechanobiology, rehabilitation engineering, biomedical signal processing and medical device development. Medical Engineering & Physics aims to keep both engineers and clinicians abreast of the latest applications of technology to health care.