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Comment
. 2010 Jun 15;107(24):10769-70.
doi: 10.1073/pnas.1005987107. Epub 2010 Jun 14.

Human functional connectivity: new tools, unresolved questions

Randy L Buckner  1
Affiliations
Comment

Human functional connectivity: new tools, unresolved questions

Randy L Buckner. Proc Natl Acad Sci U S A. .
No abstract available

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Conflict of interest statement

The author declares no conflict of interest.

Figures

Fig. 1.
Fig. 1.
Tomasi and Volkow (6) use resting-state functional connectivity to rapidly estimate candidate “hubs” of connectivity in the human brain. The basis of functional connectivity is that spontaneous activity fluctuations measured at rest are correlated between regions. The presence and strength of correlations reflects a combination of anatomic connectivity and synaptic efficiency among other factors (Table 1). By measuring correlations between multiple regions, inferences can be made about the architecture of brain systems and whether differences exist between individuals. (A) Signal fluctuations are measured at rest from an example seed region within the motor cortex. Activity is measured indirectly through the blood oxygenation level–dependent MRI signal. (B) A representative time course of intrinsic activity fluctuations for the seed region is displayed for a period of 5 min. The general strategy of functional connectivity is to determine the network of brain regions that show correlated activity fluctuations over time with the seed region (1). (C) In this instance, the correlated network of regions reveals multiple cortical areas within the motor system, as well as regions within the cerebellum (not shown).
See this image and copyright information in PMC

Comment on

  • Functional connectivity density mapping.
    Tomasi D, Volkow ND. Tomasi D, et al. Proc Natl Acad Sci U S A. 2010 May 25;107(21):9885-90. doi: 10.1073/pnas.1001414107. Epub 2010 May 10. Proc Natl Acad Sci U S A. 2010. PMID: 20457896 Free PMC article.

References

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