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Basis of Graph Theory on Brain Imaging Study
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- ONODA Keiichi
- Department of Neurology, Shimane University
Bibliographic Information
- Other Title
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- 脳画像研究におけるグラフ理論の基礎
- ノウ ガゾウ ケンキュウ ニ オケル グラフ リロン ノ キソ
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Description
<p>Brain is a complex network, which shows dynamic changes depending on the state and traits of an individual. Graph theory is able to characterize such brain networks by providing neurobiological meaning and easily computable measures. In this article, I have discussed the construction of networks based on data about brain connectivity and described common network measures that can quantify functional segregation and integration, as well as the centrality of brain architecture. Finally, I have introduced software for conducting analyses based on the graph theory.</p>
Journal
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- Japanese Journal of Physiological Psychology and Psychophysiology
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Japanese Journal of Physiological Psychology and Psychophysiology 33 (3), 231-238, 2015
Japanese Society for Physiological Psychology and Psychophysiology
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Keywords
Details 詳細情報について
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- CRID
- 1390282679633321856
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- NII Article ID
- 130005439916
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- NII Book ID
- AN10091236
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- ISSN
- 2185551X
- 02892405
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- NDL BIB ID
- 028049266
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL Search
- Crossref
- CiNii Articles
- OpenAIRE
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- Abstract License Flag
- Disallowed