Publication
Editorial: Origins of the Resting-State fMRI Signal
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- Last modified
- 05/14/2025
- Type of Material
- Authors
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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
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