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Journal of Nuclear Medicine

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OtherClinical Investigations (Human)

Resting state networks as simultaneously measured with fMRI and PET

Alexandre Savio, Sarah Fünger, Masoud Tahmasian, Srinivas Rachakonda, Andrei Manoliu, Christian Sorg, Timo Grimmer, Vince Calhoun, Alexander Drzezga, Valentin Riedl and Igor Yakushev
Journal of Nuclear Medicine March 2017, jnumed.116.185835; DOI: https://doi.org/10.2967/jnumed.116.185835
Alexandre Savio
1 Technische Universität München, Germany;
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Sarah Fünger
1 Technische Universität München, Germany;
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Masoud Tahmasian
1 Technische Universität München, Germany;
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Srinivas Rachakonda
2 The Mind Research Network and LBERI;
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Andrei Manoliu
3 University of Zürich;
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Christian Sorg
1 Technische Universität München, Germany;
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Timo Grimmer
1 Technische Universität München, Germany;
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Vince Calhoun
4 University of New Mexico;
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Alexander Drzezga
5 Universität zu Köln
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Valentin Riedl
1 Technische Universität München, Germany;
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Igor Yakushev
1 Technische Universität München, Germany;
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Abstract

Functional magnetic resonance imaging (fMRI) studies reported disruption of resting-state networks (RSNs) in a number of neuropsychiatric disorders. Positron emission tomography (PET) with 18F-fluorodeoxyglucose (FDG) captures neuronal activity that is in steady state at a longer time span and is less dependent of neuro-vascular coupling. Here, we aimed to identify RSNs in FDG-PET data and compare their spatial pattern with those obtained from simultaneously acquired resting state fMRI data in 22 middle-aged healthy subjects. Thirteen and 17 meaningful RSNs could be identified in PET and fMRI data, respectively. Spatial overlap was fair to moderate for the default mode, left central executive, primary and secondary visual, sensorimotor, cerebellar, and auditory networks. Despite recording different aspects of neural activity, similar RSNs were detected by both imaging modalities. The results argue for the common neural substrate of RSNs and encourage testing of the clinical utility of resting state connectivity in PET data.

  • Neurology
  • PET/MRI
  • Statistical Analysis
  • brain connectivity
  • glucose metabolism
  • independent component analysis
  • multimodal imaging
  • positron emission tomography
  • Copyright © 2017 by the Society of Nuclear Medicine and Molecular Imaging, Inc.
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Journal of Nuclear Medicine: 66 (5)
Journal of Nuclear Medicine
Vol. 66, Issue 5
May 1, 2025
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Resting state networks as simultaneously measured with fMRI and PET
Alexandre Savio, Sarah Fünger, Masoud Tahmasian, Srinivas Rachakonda, Andrei Manoliu, Christian Sorg, Timo Grimmer, Vince Calhoun, Alexander Drzezga, Valentin Riedl, Igor Yakushev
Journal of Nuclear Medicine Mar 2017, jnumed.116.185835; DOI: 10.2967/jnumed.116.185835

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Resting state networks as simultaneously measured with fMRI and PET
Alexandre Savio, Sarah Fünger, Masoud Tahmasian, Srinivas Rachakonda, Andrei Manoliu, Christian Sorg, Timo Grimmer, Vince Calhoun, Alexander Drzezga, Valentin Riedl, Igor Yakushev
Journal of Nuclear Medicine Mar 2017, jnumed.116.185835; DOI: 10.2967/jnumed.116.185835
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Keywords

  • Neurology
  • PET/MRI
  • Statistical Analysis
  • brain connectivity
  • glucose metabolism
  • Independent component analysis
  • multimodal imaging
  • Positron Emission Tomography
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