Publication

Editorial: Origins of the Resting-State fMRI Signal

Downloadable Content

Persistent URL
Last modified
  • 05/14/2025
Type of Material
Authors
    J. Jean Chen, Baycrest Health SciencesPeter Herman, Yale UniversityShella Keilholz, Emory UniversityGarth J. Thompson, ShanghaiTech University
Language
  • English
Date
  • 2020-10-27
Publisher
  • FRONTIERS MEDIA SA
Publication Version
Copyright Statement
  • © 2020 Chen, Herman, Keilholz and Thompson.
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 14
Start Page
  • 594990
End Page
  • 594990
Abstract
  • Resting-state functional magnetic resonance imaging (rs-fMRI) has exponentially increased in adoption in the past decade. It is now a part of nearly every neuroimaging-based large-scale study of the human brain due to ease of use and versatility (Smith et al., 2013; Bookheimer et al., 2019; Zonneveld et al., 2019; Power, 2020). This has also led to the introduction of numerous derivative metrics. rs-fMRI is used in mapping the human-brain connectome and in understanding every aspect of cognitive function. It is also regarded as a promising biomarker for brain diseases ranging from dementia to traumatic brain injury to autism spectrum disorders. However, limitations on the sensitivity and specificity of rs-fMRI (Buckner et al., 2013) are a disadvantage. As we stand on the cusp of widespread adoption of rs-fMRI in clinical research, there is an urgent need to understand what we do not yet know about the origins of the rs-fMRI signal. This is the driving force behind our Research Topic, “Origins of the Resting-state fMRI Signal,” in which we strove to provide a comprehensive update on the quest for a better understanding.
Author Notes
Keywords
Research Categories
  • Health Sciences, Radiology
  • Biology, Neuroscience

Tools

Relations

In Collection:

Items