Clinical applications of resting state functional connectivity

Michael Fox

Frontiers in Systems Neuroscience · 2010 · 1.2K citations · 113 references

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TL;DR

Resting‑state fMRI captures spontaneous BOLD fluctuations that reveal functional connectivity patterns, offering a promising tool to translate fMRI into clinical care. This review examines the advantages of resting‑state fMRI for clinical use, providing signal‑to‑noise guidelines, application areas, and barriers to translation. The authors review resting‑state fMRI, discuss signal‑to‑noise considerations, provide guidelines for clinical research, outline application areas, and highlight barriers to translation.

Abstract

During resting conditions the brain remains functionally and metabolically active. One manifestation of this activity that has become an important research tool is spontaneous fluctuations in the blood oxygen level-dependent (BOLD) signal of functional magnetic resonance imaging (fMRI). The identification of correlation patterns in these spontaneous fluctuations has been termed resting state functional connectivity (fcMRI) and has the potential to greatly increase the translation of fMRI into clinical care. In this article we review the advantages of the resting state signal for clinical applications including detailed discussion of signal to noise considerations. We include guidelines for performing resting state research on clinical populations, outline the different areas for clinical application, and identify important barriers to be addressed to facilitate the translation of resting state fcMRI into the clinical realm.

References

113