Abstract:
:Recent studies show that anatomical and functional brain networks exhibit similar small-world properties. However, the networks that are compared often differ in what the nodes represent (e.g. sensors or brain areas), what kind of connectivity is measured, and what temporal and spatial scales are probed. Here, I review studies of large-scale connectivity and recent results from a variety of real-time recording techniques, which together suggest that an adequate description of brain organization requires a hierarchy of networks rather than the single, binary networks that are currently in vogue. Pattern analysis methods now offer a principled way for constructing such network hierarchies. As shown at the end of this review, a correspondence principle can be formulated to guide the interpretation across network levels and to relate nodes to well defined anatomical entities.
journal_name
Curr Opin Neurobioljournal_title
Current opinion in neurobiologyauthors
Ioannides AAdoi
10.1016/j.conb.2007.03.008subject
Has Abstractpub_date
2007-04-01 00:00:00pages
161-70issue
2eissn
0959-4388issn
1873-6882pii
S0959-4388(07)00039-6journal_volume
17pub_type
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journal_title:Current opinion in neurobiology
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