The discovery of resting-state functional MRI (rs-fMRI) signal synchronies gave birth to an expansive and still rapidly growing field of brain imaging. Metrics derived using rs-fMRI are based on intrinsic fMRI signal fluctuations instead of task responses, and are used in hundreds of research studies and every large-cohort neuroimaging study of brain aging and brain diseases worldwide. The power of rs-fMRI lies in its ease of implantation, but despite the heavy use, the full origins of the rs-fMRI signal have yet to be fully understood. This gap in understanding is resulting in fundamental limitations in the application of resting-state brain mapping.
In this Research Topic, we aim to provide a summary of current thoughts regarding the following origins of the rs-fMRI signal:
? Neuroelectric: based on electrophysiological measurements
? Neurometabolic: based on measurement of glucose/oxygen metabolism as well as of metabolites
? Neurovascular: based on the vascular nature of the fMRI signal
? Artifactual: signal contributions from putative noise sources
This Research Topic initiative welcomes contributions addressing any of these attributes of the rs-fMRI signal. We welcome original research papers, reviews and commentaries, including but not limited to research based on MRI, MRS, PET, EEG, MEG, ECoG and optical-imaging methods. It is our hope that this series of publications will clarify current debates regarding the interpretation of the rs-fMRI signal and help identify future research questions that help to realize the full potential of rs-fMRI as a powerful brain-mapping approach.
The discovery of resting-state functional MRI (rs-fMRI) signal synchronies gave birth to an expansive and still rapidly growing field of brain imaging. Metrics derived using rs-fMRI are based on intrinsic fMRI signal fluctuations instead of task responses, and are used in hundreds of research studies and every large-cohort neuroimaging study of brain aging and brain diseases worldwide. The power of rs-fMRI lies in its ease of implantation, but despite the heavy use, the full origins of the rs-fMRI signal have yet to be fully understood. This gap in understanding is resulting in fundamental limitations in the application of resting-state brain mapping.
In this Research Topic, we aim to provide a summary of current thoughts regarding the following origins of the rs-fMRI signal:
? Neuroelectric: based on electrophysiological measurements
? Neurometabolic: based on measurement of glucose/oxygen metabolism as well as of metabolites
? Neurovascular: based on the vascular nature of the fMRI signal
? Artifactual: signal contributions from putative noise sources
This Research Topic initiative welcomes contributions addressing any of these attributes of the rs-fMRI signal. We welcome original research papers, reviews and commentaries, including but not limited to research based on MRI, MRS, PET, EEG, MEG, ECoG and optical-imaging methods. It is our hope that this series of publications will clarify current debates regarding the interpretation of the rs-fMRI signal and help identify future research questions that help to realize the full potential of rs-fMRI as a powerful brain-mapping approach.
