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Resting-state fMRI correlations : From link-wise unreliability to whole brain stability

Pannunzi, Mario; Hindriks, Rikkert; Bettinardi, Ruggero G.; Wenger, Elisabeth; Lisofsky, Nina; Martensson, Johan LU ; Butler, Oisin; Filevich, Elisa; Becker, Maxi and Lochstet, Martyna, et al. (2017) In NeuroImage 157. p.250-262
Abstract

The functional architecture of spontaneous BOLD fluctuations has been characterized in detail by numerous studies, demonstrating its potential relevance as a biomarker. However, the systematic investigation of its consistency is still in its infancy. Here, we analyze within- and between-subject variability and test-retest reliability of resting-state functional connectivity (FC) in a unique data set comprising multiple fMRI scans (42) from 5 subjects, and 50 single scans from 50 subjects. We adopt a statistical framework that enables us to identify different sources of variability in FC. We show that the low reliability of single links can be significantly improved by using multiple scans per subject. Moreover, in contrast to earlier... (More)

The functional architecture of spontaneous BOLD fluctuations has been characterized in detail by numerous studies, demonstrating its potential relevance as a biomarker. However, the systematic investigation of its consistency is still in its infancy. Here, we analyze within- and between-subject variability and test-retest reliability of resting-state functional connectivity (FC) in a unique data set comprising multiple fMRI scans (42) from 5 subjects, and 50 single scans from 50 subjects. We adopt a statistical framework that enables us to identify different sources of variability in FC. We show that the low reliability of single links can be significantly improved by using multiple scans per subject. Moreover, in contrast to earlier studies, we show that spatial heterogeneity in FC reliability is not significant. Finally, we demonstrate that despite the low reliability of individual links, the information carried by the whole-brain FC matrix is robust and can be used as a functional fingerprint to identify individual subjects from the population.

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NeuroImage
volume
157
pages
13 pages
publisher
Elsevier
external identifiers
  • scopus:85020486374
ISSN
1053-8119
DOI
10.1016/j.neuroimage.2017.06.006
language
English
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yes
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2114b4c3-5dfb-44fd-84e0-ba2c4b11b779
date added to LUP
2017-06-26 13:13:05
date last changed
2017-09-03 05:23:51
@article{2114b4c3-5dfb-44fd-84e0-ba2c4b11b779,
  abstract     = {<p>The functional architecture of spontaneous BOLD fluctuations has been characterized in detail by numerous studies, demonstrating its potential relevance as a biomarker. However, the systematic investigation of its consistency is still in its infancy. Here, we analyze within- and between-subject variability and test-retest reliability of resting-state functional connectivity (FC) in a unique data set comprising multiple fMRI scans (42) from 5 subjects, and 50 single scans from 50 subjects. We adopt a statistical framework that enables us to identify different sources of variability in FC. We show that the low reliability of single links can be significantly improved by using multiple scans per subject. Moreover, in contrast to earlier studies, we show that spatial heterogeneity in FC reliability is not significant. Finally, we demonstrate that despite the low reliability of individual links, the information carried by the whole-brain FC matrix is robust and can be used as a functional fingerprint to identify individual subjects from the population.</p>},
  author       = {Pannunzi, Mario and Hindriks, Rikkert and Bettinardi, Ruggero G. and Wenger, Elisabeth and Lisofsky, Nina and Martensson, Johan and Butler, Oisin and Filevich, Elisa and Becker, Maxi and Lochstet, Martyna and Kühn, Simone and Deco, Gustavo},
  issn         = {1053-8119},
  language     = {eng},
  month        = {08},
  pages        = {250--262},
  publisher    = {Elsevier},
  series       = {NeuroImage},
  title        = {Resting-state fMRI correlations : From link-wise unreliability to whole brain stability},
  url          = {http://dx.doi.org/10.1016/j.neuroimage.2017.06.006},
  volume       = {157},
  year         = {2017},
}