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Sampling rate dependence of correlation at long time lags in BOLD fMRI measurements on humans and gel phantoms

Overview of attention for article published in Frontiers in Physiology, January 2013
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Title
Sampling rate dependence of correlation at long time lags in BOLD fMRI measurements on humans and gel phantoms
Published in
Frontiers in Physiology, January 2013
DOI 10.3389/fphys.2013.00106
Pubmed ID
Authors

Kaare B. Mikkelsen, Torben E. Lund

Abstract

The aim of this study is to investigate the effects of sampling rate on Hurst exponents derived from Blood Oxygenation Level Dependent functional Magnetic Resonance Imaging (BOLD fMRI) resting state time series. fMRI measurements were performed on 2 human subjects and a selection of gel phantoms. From these, Hurst exponents were calculated. It was found that low sampling rates induced non-trivial exponents at sharp material transitions, and that Hurst exponents of human measurements had a strong TR-dependence. The findings are compared to theoretical considerations regarding the fractional Gaussian noise model and resampling, and it is found that the implications are problematic. This result should have a direct influence on the way future studies of low-frequency variation in BOLD fMRI data are conducted, especially if the fractional Gaussian noise model is considered. We recommend either using a different model (examples of such are referenced in the conclusion), or standardizing experimental procedures along an optimal sampling rate.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 6%
Denmark 1 6%
Italy 1 6%
Unknown 13 81%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 19%
Researcher 3 19%
Student > Ph. D. Student 2 13%
Student > Doctoral Student 1 6%
Student > Bachelor 1 6%
Other 3 19%
Unknown 3 19%
Readers by discipline Count As %
Physics and Astronomy 3 19%
Medicine and Dentistry 3 19%
Psychology 2 13%
Neuroscience 2 13%
Environmental Science 1 6%
Other 0 0%
Unknown 5 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 May 2013.
All research outputs
#20,194,150
of 22,711,242 outputs
Outputs from Frontiers in Physiology
#9,301
of 13,524 outputs
Outputs of similar age
#248,752
of 280,736 outputs
Outputs of similar age from Frontiers in Physiology
#243
of 398 outputs
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