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Intrinsic macroscale oscillatory modes driving long range functional connectivity in female rat brains detected by ultrafast fMRI

Author

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  • Joana Cabral

    (Champalimaud Foundation
    University of Minho
    ICVS/3B’s - Portuguese Government Associate Laboratory)

  • Francisca F. Fernandes

    (Champalimaud Foundation)

  • Noam Shemesh

    (Champalimaud Foundation)

Abstract

Spontaneous fluctuations in functional magnetic resonance imaging (fMRI) signals correlate across distant brain areas, shaping functionally relevant intrinsic networks. However, the generative mechanism of fMRI signal correlations, and in particular the link with locally-detected ultra-slow oscillations, are not fully understood. To investigate this link, we record ultrafast ultrahigh field fMRI signals (9.4 Tesla, temporal resolution = 38 milliseconds) from female rats across three anesthesia conditions. Power at frequencies extending up to 0.3 Hz is detected consistently across rat brains and is modulated by anesthesia level. Principal component analysis reveals a repertoire of modes, in which transient oscillations organize with fixed phase relationships across distinct cortical and subcortical structures. Oscillatory modes are found to vary between conditions, resonating at faster frequencies under medetomidine sedation and reducing both in number, frequency, and duration with the addition of isoflurane. Peaking in power within clear anatomical boundaries, these oscillatory modes point to an emergent systemic property. This work provides additional insight into the origin of oscillations detected in fMRI and the organizing principles underpinning spontaneous long-range functional connectivity.

Suggested Citation

  • Joana Cabral & Francisca F. Fernandes & Noam Shemesh, 2023. "Intrinsic macroscale oscillatory modes driving long range functional connectivity in female rat brains detected by ultrafast fMRI," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-36025-x
    DOI: 10.1038/s41467-023-36025-x
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    References listed on IDEAS

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    1. Adrián Ponce-Alvarez & Gustavo Deco & Patric Hagmann & Gian Luca Romani & Dante Mantini & Maurizio Corbetta, 2015. "Resting-State Temporal Synchronization Networks Emerge from Connectivity Topology and Heterogeneity," PLOS Computational Biology, Public Library of Science, vol. 11(2), pages 1-23, February.
    2. Selen Atasoy & Isaac Donnelly & Joel Pearson, 2016. "Human brain networks function in connectome-specific harmonic waves," Nature Communications, Nature, vol. 7(1), pages 1-10, April.
    3. Federico Rocchi & Carola Canella & Shahryar Noei & Daniel Gutierrez-Barragan & Ludovico Coletta & Alberto Galbusera & Alexia Stuefer & Stefano Vassanelli & Massimo Pasqualetti & Giuliano Iurilli & Ste, 2022. "Increased fMRI connectivity upon chemogenetic inhibition of the mouse prefrontal cortex," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
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    Cited by:

    1. Liang Shi & Xiaoxi Fu & Shen Gui & Tong Wan & Junjie Zhuo & Jinling Lu & Pengcheng Li, 2024. "Global spatiotemporal synchronizing structures of spontaneous neural activities in different cell types," Nature Communications, Nature, vol. 15(1), pages 1-17, December.

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