Dynamic functional connectivity.

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 Neurobiol

authors

Ioannides AA

doi

10.1016/j.conb.2007.03.008

subject

Has Abstract

pub_date

2007-04-01 00:00:00

pages

161-70

issue

2

eissn

0959-4388

issn

1873-6882

pii

S0959-4388(07)00039-6

journal_volume

17

pub_type

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