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Anticorrelated inter-network electrophysiological activity varies dynamically with attentional performance and behavioral states

View ORCID ProfileAaron Kucyi, Amy Daitch, Omri Raccah, Baotian Zhao, Chao Zhang, Michael Esterman, Michael Zeineh, Casey H. Halpern, Kai Zhang, Jianguo Zhang, Josef Parvizi
doi: https://doi.org/10.1101/503193
Aaron Kucyi
1Department of Neurology & Neurological Sciences, Stanford University, Stanford, California – USA
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Amy Daitch
1Department of Neurology & Neurological Sciences, Stanford University, Stanford, California – USA
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Omri Raccah
1Department of Neurology & Neurological Sciences, Stanford University, Stanford, California – USA
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Baotian Zhao
2Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing – China
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Chao Zhang
2Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing – China
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Michael Esterman
3Boston Attention and Learning Laboratory & Neuroimaging Research for Veterans Center, Veterans Administration, Boston Healthcare System, Boston, MA – USA
4Department of Psychiatry, Boston University School of Medicine, Boston, MA – USA
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Michael Zeineh
5Department of Radiology, Stanford University, Stanford, California – USA
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Casey H. Halpern
6Department of Neurosurgery, Stanford University, Stanford, California – USA
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Kai Zhang
2Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing – China
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Jianguo Zhang
2Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing – China
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Josef Parvizi
1Department of Neurology & Neurological Sciences, Stanford University, Stanford, California – USA
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Abstract

The default mode network (DMN) is thought to exhibit infraslow anticorrelated activity with dorsal attention (DAN) and salience (SN) networks across various behavioral states. To investigate the dynamics of activity across these networks on a finer timescale, we used human intracranial electroencephalography with simultaneous recordings within core nodes of the three networks. During attentional task performance, the three sites showed dissociable profiles of high-frequency broadband activity. Anticorrelated infraslow fluctuations of this activity were found across networks during task performance but also intermittently emerged during rest and sleep in concert with the expression of task-like network-level topographic patterns. Critically, on a finer timescale, DAN and SN activations preceded DMN deactivations by hundreds of milliseconds. Moreover, greater lagged, but not zero-lag, anticorrelation between DAN and DMN activity was associated with better attentional performance. These findings have implications for interpreting antagonistic network relationships and confirm the behavioral importance of time-lagged inter-network interactions.

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Posted December 20, 2018.
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Anticorrelated inter-network electrophysiological activity varies dynamically with attentional performance and behavioral states
Aaron Kucyi, Amy Daitch, Omri Raccah, Baotian Zhao, Chao Zhang, Michael Esterman, Michael Zeineh, Casey H. Halpern, Kai Zhang, Jianguo Zhang, Josef Parvizi
bioRxiv 503193; doi: https://doi.org/10.1101/503193
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Anticorrelated inter-network electrophysiological activity varies dynamically with attentional performance and behavioral states
Aaron Kucyi, Amy Daitch, Omri Raccah, Baotian Zhao, Chao Zhang, Michael Esterman, Michael Zeineh, Casey H. Halpern, Kai Zhang, Jianguo Zhang, Josef Parvizi
bioRxiv 503193; doi: https://doi.org/10.1101/503193

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