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Author Notes:

Shella Dawn Keilholz, Phone: +1 404-727-2433, shella.keilholz@bme.gatech.edu

The authors would like to thank Josh Grooms; Alessio Medda; Jeremy Edgerton; Collin Lobb; Mac Merritt and Martha Willis for their valuable help and suggestions.

Subjects:

Research Funding:

NIH; 1R21NS072810-01A1 and 1R21NS057718-01; Scholarly Inquiry and Research at Emory (SIRE) Fellowship program at Emory University.

Keywords:

  • Science & Technology
  • Life Sciences & Biomedicine
  • Neurosciences
  • Neuroimaging
  • Radiology, Nuclear Medicine & Medical Imaging
  • Neurosciences & Neurology
  • Functional magnetic resonance imaging
  • Blood oxygen level dependent
  • Local field potential
  • Spatiotemporal dynamics
  • Infraslow oscillation
  • Slow wave
  • Quasi-periodic
  • LESS-THAN-1 HZ OSCILLATION
  • DEFAULT-MODE NETWORK
  • FUNCTIONAL CONNECTIVITY
  • IN-VIVO
  • SPONTANEOUS FLUCTUATIONS
  • SPATIOTEMPORAL DYNAMICS
  • THALAMOCORTICAL NEURONS
  • ALZHEIMERS-DISEASE
  • CEREBRAL-CORTEX
  • BRAIN ACTIVITY

Quasi-periodic patterns (QPP): Large-scale dynamics in resting state fMRI that correlate with local infraslow electrical activity

Journal Title:

NeuroImage

Volume:

Volume 84

Publisher:

, Pages 1018-1031

Type of Work:

Article | Post-print: After Peer Review

Abstract:

Functional connectivity measurements from resting state blood-oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) are proving a powerful tool to probe both normal brain function and neuropsychiatric disorders. However, the neural mechanisms that coordinate these large networks are poorly understood, particularly in the context of the growing interest in network dynamics. Recent work in anesthetized rats has shown that the spontaneous BOLD fluctuations are tightly linked to infraslow local field potentials (LFPs) that are seldom recorded but comparable in frequency to the slow BOLD fluctuations. These findings support the hypothesis that long-range coordination involves low frequency neural oscillations and establishes infraslow LFPs as an excellent candidate for probing the neural underpinnings of the BOLD spatiotemporal patterns observed in both rats and humans. To further examine the link between large-scale network dynamics and infraslow LFPs, simultaneous fMRI and microelectrode recording were performed in anesthetized rats. Using an optimized filter to isolate shared components of the signals, we found that time-lagged correlation between infraslow LFPs and BOLD is comparable in spatial extent and timing to a quasi-periodic pattern (QPP) found from BOLD alone, suggesting that fMRI-measured QPPs and the infraslow LFPs share a common mechanism. As fMRI allows spatial resolution and whole brain coverage not available with electroencephalography, QPPs can be used to better understand the role of infraslow oscillations in normal brain function and neurological or psychiatric disorders.

Copyright information:

© 2013 Elsevier Inc. All rights reserved.

This is an Open Access work distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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