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Resting-State fMRI: Preclinical Foundations

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Abstract

This chapter introduces a neuroimaging approach that has become popular among scientists over the last decade and that now is starting to attain clinical uses. The technique is called resting-state functional connectivity (RSFC), and it typically utilizes functional magnetic resonance imaging (fMRI) scans collected from subjects at rest (i.e., doing nothing) in the scanner. This chapter covers how the data are collected, processed, and turned into measures of brain organization. Some preliminary clinical uses of RSFC are presented. The priority of the chapter is not to broadly survey the field but instead to help readers better understand and more critically assess studies using RSFC techniques.

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Acknowledgments

The author thanks Julie Penzner, Meredith Pittman, and Thomas Pearce for their comments on the manuscript. J.D.P. is supported by a gift from the Mortimer D. Sackler, MD, family.

Conflict of Interest: The author declares no conflicts of interest.

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Authors and Affiliations

  1. Department of Psychiatry, Weill Cornell Medical College, Sackler Institute for Developmental Psychobiology, New York, NY, USA

    Jonathan D. Power

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  1. Jonathan D. Power
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Correspondence to Jonathan D. Power .

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Editors and Affiliations

  1. Department of Radiology and Nuclear Medicine, Kantonsspital Winterthur, Winterthur, Switzerland

    Stephan Ulmer

  2. Department of Radiology and Neuroradiology, University Hospital Schleswig-Holstein, Kiel, Germany

    Olav Jansen

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Power, J.D. (2020). Resting-State fMRI: Preclinical Foundations. In: Ulmer, S., Jansen, O. (eds) fMRI. Springer, Cham. https://doi.org/10.1007/978-3-030-41874-8_5

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  • DOI: https://doi.org/10.1007/978-3-030-41874-8_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-41873-1

  • Online ISBN: 978-3-030-41874-8

  • eBook Packages: MedicineMedicine (R0)

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