R
Rasmus M. Birn
Researcher at University of Wisconsin-Madison
Publications - 113
Citations - 13086
Rasmus M. Birn is an academic researcher from University of Wisconsin-Madison. The author has contributed to research in topics: Resting state fMRI & Functional magnetic resonance imaging. The author has an hindex of 44, co-authored 103 publications receiving 11326 citations. Previous affiliations of Rasmus M. Birn include National Institutes of Health & Medical College of Wisconsin.
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The impact of global signal regression on resting state correlations: are anti-correlated networks introduced?
TL;DR: It is shown that, after global signal regression, correlation values to a seed voxel must sum to a negative value and that the relative phase of global and local signals can affect connectivity measures and that, experimentally,global signal regression leads to bell-shaped correlation value distributions, centred on zero.
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Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI.
TL;DR: Monitoring and removing low-frequency respiration variations led to a significant improvement in the identification of task-related activation and deactivation and only slight differences in regions correlated with the posterior cingulate at rest.
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The effect of scan length on the reliability of resting-state fMRI connectivity estimates.
Rasmus M. Birn,Erin K. Molloy,Remi Patriat,Taurean Parker,Timothy B. Meier,Gregory R. Kirk,Veena A. Nair,M. Elizabeth Meyerand,Vivek Prabhakaran +8 more
TL;DR: Reliability and similarity of resting-state functional connectivity can be greatly improved by increasing the scan lengths, and that both the increase in the number of volumes as well as the length of time over which these volumes was acquired drove this increase in reliability.
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Resting-state fMRI confounds and cleanup
TL;DR: The origins of the BOLD signal in terms of MR physics and cerebral physiology are described and two classes of techniques to remove confounds from resting-state BOLD time series are reviewed.
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The respiration response function: The temporal dynamics of fMRI signal fluctuations related to changes in respiration
TL;DR: A new "respiration response function" consists of an early overshoot followed by a later undershoot (peaking at approximately 16 s), and accurately models the MRI signal changes resulting from breath-holding as well as cued depth and rate changes.