Resting-state "physiological networks".

NeuroImage
Jingyuan ChenJonathan R Polimeni

Abstract

Slow changes in systemic brain physiology can elicit large fluctuations in fMRI time series, which manifest as structured spatial patterns of temporal correlations between distant brain regions. Here, we investigated whether such "physiological networks"-sets of segregated brain regions that exhibit similar responses following slow changes in systemic physiology-resemble patterns associated with large-scale networks typically attributed to remotely synchronized neuronal activity. By analyzing a large group of subjects from the 3T Human Connectome Project (HCP) database, we demonstrate brain-wide and noticeably heterogenous dynamics tightly coupled to either respiratory variation or heart rate changes. We show, using synthesized data generated from physiological recordings across subjects, that these physiologically-coupled fluctuations alone can produce networks that strongly resemble previously reported resting-state networks, suggesting that, in some cases, the "physiological networks" seem to mimic the neuronal networks. Further, we show that such physiologically-relevant connectivity estimates appear to dominate the overall connectivity observations in multiple HCP subjects, and that this apparent "physiological connectivit...Continue Reading

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Citations

Jul 29, 2020·ELife·Jorge ManuelFlorian Beissner
Oct 7, 2020·Nature Communications·Johan N van der MeerLuca Cocchi
Nov 2, 2020·NeuroImage·Jorge A SalasCatie Chang
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May 31, 2021·NeuroImage·Wenyu TuNanyin Zhang
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Jul 16, 2021·PLoS Biology·Qingguang ZhangPatrick J Drew
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Sep 4, 2021·NeuroImage·Luisa RaimondoWietske van der Zwaag

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