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Electrophysiological low-frequency coherence and cross-frequency coupling contribute to BOLD connectivity.


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.

SUBMITTER: Wang L 

PROVIDER: S-EPMC3531830 | biostudies-literature | 2012 Dec

REPOSITORIES: biostudies-literature

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Electrophysiological low-frequency coherence and cross-frequency coupling contribute to BOLD connectivity.

Wang Liang L   Saalmann Yuri B YB   Pinsk Mark A MA   Arcaro Michael J MJ   Kastner Sabine S  

Neuron 20121201 5


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 lo  ...[more]

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