Resting State fMRI: A Personal History
By Bharat B. Biswal. NeuroImage, 2012
492 citations recorded by the source corpus.
The goal of this review is to describe, from a personal perspective, the development and emergence of the resting state fMRI. In particular, various concepts derived from the resting state data are discussed in detail, including connectivity, amplitude of the fluctuations, analysis techniques, and use in clinical populations. We also briefly summarize our efforts in creating an open data sharing platform as well as both a journal and a conference dedicated to brain connectivity. All three projects are aimed at significantly increasing the impact of resting state fMRI developments and enabling large, collaborative science projects.
Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/41ea06a33bf77bf889511aed88a91d5d03458d6d
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Citations in the corpus
- Capturing the spatiotemporal dynamics of self-generated, task-initiated thoughts with EEG and fMRI (2019, unknown): “To identify changes in brain activity across different brain regions during the two task-initiated, self-generated processing conditions (math and memory), fALFF values were mapped (Zou et al., 2008), serving as a model-free measure of local BOLD activity (Biswal, 2012).”
- Resting state fMRI: A review on methods in resting state connectivity analysis and resting state networks (2017, methodology): “, by using seed-based analysis.(4) It is the network which shows a high correlation between the left and right regions when the FC was studied.”