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

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 vari...

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Published inNeuroImage (Orlando, Fla.) Vol. 157; pp. 250 - 262
Main Authors 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
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 15.08.2017
Elsevier Limited
Elsevier
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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.
AbstractList 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.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.
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.
Author Butler, Oisin
Filevich, Elisa
Becker, Maxi
Lochstet, Martyna
Pannunzi, Mario
Deco, Gustavo
Bettinardi, Ruggero G.
Wenger, Elisabeth
Kühn, Simone
Lisofsky, Nina
Martensson, Johan
Hindriks, Rikkert
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SubjectTerms Adolescent
Adult
Basic Medicine
Biomarkers
Brain
Brain - diagnostic imaging
Brain architecture
Brain mapping
Connectome - standards
Female
Functional magnetic resonance imaging
Humans
Magnetic Resonance Imaging - standards
Male
Medical and Health Sciences
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Medicinska och farmaceutiska grundvetenskaper
Neural networks
Neurosciences
Neurovetenskaper
NMR
Nuclear magnetic resonance
Reproducibility of Results
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Studies
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Title Resting-state fMRI correlations: From link-wise unreliability to whole brain stability
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