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

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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; Butler, Oisin; Filevich, Elisa; Becker, Maxi; Lochstet, Martyna; Kühn, Simone; Deco, Gustavo.

In: NEUROIMAGE, Vol. 157, 15.08.2017, p. 250-262.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Pannunzi, M, Hindriks, R, Bettinardi, RG, Wenger, E, Lisofsky, N, Martensson, J, Butler, O, Filevich, E, Becker, M, Lochstet, M, Kühn, S & Deco, G 2017, 'Resting-state fMRI correlations From link-wise unreliability to whole brain stability', NEUROIMAGE, vol. 157, pp. 250-262. https://doi.org/10.1016/j.neuroimage.2017.06.006

APA

Pannunzi, M., Hindriks, R., Bettinardi, R. G., Wenger, E., Lisofsky, N., Martensson, J., Butler, O., Filevich, E., Becker, M., Lochstet, M., Kühn, S., & Deco, G. (2017). Resting-state fMRI correlations From link-wise unreliability to whole brain stability. NEUROIMAGE, 157, 250-262. https://doi.org/10.1016/j.neuroimage.2017.06.006

Vancouver

Pannunzi M, Hindriks R, Bettinardi RG, Wenger E, Lisofsky N, Martensson J et al. Resting-state fMRI correlations From link-wise unreliability to whole brain stability. NEUROIMAGE. 2017 Aug 15;157:250-262. https://doi.org/10.1016/j.neuroimage.2017.06.006

Bibtex

@article{55caa06050c841ea906a063804ebe0c6,
title = "Resting-state fMRI correlations From link-wise unreliability to whole brain stability",
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 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.",
keywords = "Journal Article",
author = "Mario Pannunzi and Rikkert Hindriks and Bettinardi, {Ruggero G} and Elisabeth Wenger and Nina Lisofsky and Johan Martensson and Oisin Butler and Elisa Filevich and Maxi Becker and Martyna Lochstet and Simone K{\"u}hn and Gustavo Deco",
note = "Copyright {\textcopyright} 2017 Elsevier Inc. All rights reserved.",
year = "2017",
month = aug,
day = "15",
doi = "10.1016/j.neuroimage.2017.06.006",
language = "English",
volume = "157",
pages = "250--262",
journal = "NEUROIMAGE",
issn = "1053-8119",
publisher = "Academic Press",

}

RIS

TY - JOUR

T1 - Resting-state fMRI correlations From link-wise unreliability to whole brain stability

AU - Pannunzi, Mario

AU - Hindriks, Rikkert

AU - Bettinardi, Ruggero G

AU - Wenger, Elisabeth

AU - Lisofsky, Nina

AU - Martensson, Johan

AU - Butler, Oisin

AU - Filevich, Elisa

AU - Becker, Maxi

AU - Lochstet, Martyna

AU - Kühn, Simone

AU - Deco, Gustavo

N1 - Copyright © 2017 Elsevier Inc. All rights reserved.

PY - 2017/8/15

Y1 - 2017/8/15

N2 - 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.

AB - 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.

KW - Journal Article

U2 - 10.1016/j.neuroimage.2017.06.006

DO - 10.1016/j.neuroimage.2017.06.006

M3 - SCORING: Journal article

C2 - 28599964

VL - 157

SP - 250

EP - 262

JO - NEUROIMAGE

JF - NEUROIMAGE

SN - 1053-8119

ER -