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Consultant
dc.contributor.advisor
Vince, Grolmusz
Author
dc.contributor.author
Máté, Fellner 
Availability Date
dc.date.accessioned
2018-05-16T07:36:26Z
Availability Date
dc.date.available
2018-05-16T07:36:26Z
Release
dc.date.issued
2017
uri
dc.identifier.uri
http://hdl.handle.net/10831/38080
Abstract
dc.description.abstract
One way to examine the connections between the distinct parts of the human brain is the braingraph, or the connectome. The nodes of the connectome are not neurons, but distinct areas of the gray matter, which can be found in any average and healthy human brain, so we can compare whether two edges are present in the graphs between the same nodes. The connectomes are mapped from human brains by di usion MR imaging. In previous studies research had been made on the data of the Human Connectome Project, now we use the connectomes of 423 subjects on di erent scales from 83 to 1015 vertices. The connectomes are available in GraphML format at https://braingraph.org. Our purpose was to analyze the connectomes and nd frequent edge sets with the apriori algorithm and compare them between female and male brains.hu_HU
Language
dc.language.iso
angolhu_HU
Title
dc.title
Frequent edge sets in human connectome graphshu_HU
Language
dc.language.rfc3066
eng
Scope
dc.format.page
23hu_HU
Author
dc.contributor.inst
ELTE Természettudományi Kar Matematikai Intézethu_HU
Keywords
dc.subject.hu
computer sciencehu_HU
Keywords
dc.subject.hu
Matematikus TDK
Keywords
dc.subject.hu
TDK dolgozat
Type
dc.type.type
hallgatói dolgozathu_HU
Release Date
dc.description.issuedate
2017hu_HU
Student's vocational, professional, specialization
dc.description.course
matematikushu_HU


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Frequent edge sets in human connectome graphs
 

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