Small-World Human Brain Networks: Perspectives and Challenges
2017 (English)In: Neuroscience and Biobehavioral Reviews, ISSN 0149-7634, E-ISSN 1873-7528, Vol. 77, 286-300 p.Article in journal (Refereed) Published
Modelling the human brain as a complex network has provided a powerful mathematical framework to characterize the structural and functional architectures of the brain. In the past decade, the combination of non-invasive neuroimaging techniques and graph theoretical approaches enable us to map human structural and functional connectivity patterns (i.e., connectome) at the macroscopic level. One of the most influential findings is that human brain networks exhibit prominent small-world organization. Such a network architecture in the human brain facilitates efficient information segregation and integration at low wiring and energy costs, which presumably results from natural selection under the pressure of a cost-efficiency balance. Moreover, the small-world organization undergoes continuous changes during normal development and aging and exhibits dramatic alterations in neurological and psychiatric disorders. In this review, we survey recent advances regarding the small-world architecture in human brain networks and highlight the potential implications and applications in multidisciplinary fields, including cognitive neuroscience, medicine and engineering. Finally, we highlight several challenging issues and areas for future research in this rapidly growing field.
Place, publisher, year, edition, pages
2017. Vol. 77, 286-300 p.
Media and Communication Technology
Research subject Mobile and Pervasive Computing
IdentifiersURN: urn:nbn:se:ltu:diva-62939DOI: 10.1016/j.neubiorev.2017.03.018PubMedID: 28389343ScopusID: 2-s2.0-85017202239OAI: oai:DiVA.org:ltu-62939DiVA: diva2:1087515
Validerad; 2017; Nivå 2; 2017-04-24 (andbra)2017-04-072017-04-072017-04-24Bibliographically approved