Cited by 158Neural dynamics and brain functionFunctional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

Electrophysiological Low-Frequency Coherence and Cross-Frequency Coupling Contribute to BOLD Connectivity

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Wang, Liang, Saalmann, Yuri B., Pinsk, Mark A., Arcaro, Michael J., Kastner, Sabine·2012·Neuron

Abstract

Brain networks are commonly defined using correlations between blood oxygen level-dependent (BOLD) signals in different brain areas. Although evidence suggests that gamma-band (30-100 Hz) neural activity contributes to local BOLD signals, the neural basis of interareal BOLD correlations is unclear. We first defined a visual network in monkeys based on converging evidence from interareal BOLD correlations during a fixation task, task-free state, and anesthesia, and then simultaneously recorded local field potentials (LFPs) from the same four network areas in the task-free state. Low-frequency oscillations (<20 Hz), and not gamma activity, predominantly contributed to interareal BOLD correlations. The low-frequency oscillations also influenced local processing by modulating gamma activity within individual areas. We suggest that such cross-frequency coupling links local BOLD signals to BOLD correlations across distributed networks.

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Crossref · 10.1016/j.neuron.2012.09.033

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  • Electrophysiological infraslow fluctuations are believed to coordinate large-scale intrinsic connectivity network organization and long-range information exchange.

    “and are believed to coordinate large-scale ICN organization and long-range information exchange [68, 83–91].”

    From Infraslow closed-loop brain training for anxiety and depression (ISAD): a protocol for a randomized, double-blind, sham-controlled pilot trial in adult females with internalizing disorders (2022) · cites this paper as [91]

    The Results section ('Slow Fluctuations of Low Frequency...'; page unavailable) links infraslow fluctuations in oscillatory power to BOLD connectivity. But the Results ('Low Frequency Coherence Predicts BOLD Connectivity') distinguish slow oscillations, associated with general network excitability, from faster oscillations better suited to information exchange. The Discussion conclusion likewise attributes effective transmission between remote areas to phase-locking of low-frequency oscillations, not specifically to infraslow fluctuations. (LLM, conf=0.88)

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  1. Jones EG The Thalamus 2007 Cambridge University Press New York Second Edition

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Authors
Wang, L., Saalmann, Y. B., Pinsk, M. A., Arcaro, M. J., & Kastner, S.
Affiliations
Princeton University (US)
Corresponding author
Wang, Liang
Venue
Neuron
Publisher
Elsevier BV
Published
2012-12
Volume
76
Issue
5
Pages
1010-1020
ISSN
0896-6273 (ISSN-L)
OpenAlex
W2123170884
Cited by
158
References
96
Citations by year
2026: 6 · 2025: 5 · 2024: 5 · 2023: 11 · 2022: 12 · 2021: 5 · 2020: 5 · 2019: 13 · 2018: 15 · 2017: 18 · 2016: 15 · 2015: 19 · 2014: 14 · 2013: 15
FWCI
7.85
Type
journal article
Language
en
Open access
Locations
  • Neuron (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Eye Institute (R21 EY021078, RO1 EY017699)
  • National Science Foundation (BCS-1025149)
  • National Institutes of Health
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords
low-frequency oscillations, cross-frequency coupling, local field potentials, gamma oscillations, visual network, monkeys, fixation task, anesthesia
MeSH terms
Anesthesia, Animals, Brain, Brain Mapping, Electroencephalography, Fixation, Ocular, Image Processing, Computer-Assisted, Macaca mulatta, Magnetic Resonance Imaging, Neural Pathways, Oxygen, Photic Stimulation, Rest, Statistics as Topic, Brain Waves

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