Abstract
To research on brain function network, we must firstly figure out the structure of the brain. Brain connection diagram can be drawn up on the levels of macro and microscopic scale. This paper applied inner composition alignment (iota) algorithm to construct alpha rhythm brain functional network and visualize the network topology and analysis and the difference between the old and young’s brain functional connectivity. The results show that clustering coefficient of the old brain network obviously differs from the young by calculating t testing with spss software, which proved that clustering coefficient of the old alpha rhythm, differs from the young.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
