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  Tracking brain arousal fluctuations with fMRI

Chang, C., Leopold, D. A., Schölvinck, M., Mandelkow, H., Picchioni, D., Liu, X., et al. (2016). Tracking brain arousal fluctuations with fMRI. Proceedings of the National Academy of Sciences of the United States of America, 113(16), 4518-4523. doi:10.1073/pnas.1520613113.

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Chang_2016_TrackingBrainArousal.pdf (Publisher version), 2MB
 
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2016
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 Creators:
Chang, Catie, Author
Leopold, David A., Author
Schölvinck, Marieke1, 2, Author                 
Mandelkow, Hendrik, Author
Picchioni, Dante, Author
Liu, Xiao, Author
Ye, Frank Q., Author
Turchi, Janita N., Author
Duyn, Jeff H., Author
Affiliations:
1Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Max Planck Society, Deutschordenstr. 46, 60528 Frankfurt, DE, ou_2074314              
2Havenith & Schölvinck Lab, Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Max Planck Society, Deutschordenstraße 46, 60528 Frankfurt, DE, ou_3381231              

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Free keywords: Animals Arousal/*physiology Brain/diagnostic imaging/*physiology Brain Waves/*physiology Macaca Magnetic Resonance Imaging Radiography Synaptic Transmission/*physiology arousal electrophysiology resting-state fMRI spontaneous fluctuations
 Abstract: Changes in brain activity accompanying shifts in vigilance and arousal can interfere with the study of other intrinsic and task-evoked characteristics of brain function. However, the difficulty of tracking and modeling the arousal state during functional MRI (fMRI) typically precludes the assessment of arousal-dependent influences on fMRI signals. Here we combine fMRI, electrophysiology, and the monitoring of eyelid behavior to demonstrate an approach for tracking continuous variations in arousal level from fMRI data. We first characterize the spatial distribution of fMRI signal fluctuations that track a measure of behavioral arousal; taking this pattern as a template, and using the local field potential as a simultaneous and independent measure of cortical activity, we observe that the time-varying expression level of this template in fMRI data provides a close approximation of electrophysiological arousal. We discuss the potential benefit of these findings for increasing the sensitivity of fMRI as a cognitive and clinical biomarker.

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 Dates: 2016-04-052016-04-19
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1073/pnas.1520613113
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Title: Proceedings of the National Academy of Sciences of the United States of America
  Other : PNAS
  Other : Proceedings of the National Academy of Sciences of the USA
  Abbreviation : Proc. Natl. Acad. Sci. U. S. A.
Source Genre: Journal
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Publ. Info: Washington, D.C. : National Academy of Sciences
Pages: - Volume / Issue: 113 (16) Sequence Number: - Start / End Page: 4518 - 4523 Identifier: ISSN: 0027-8424
CoNE: https://pure.mpg.de/cone/journals/resource/954925427230