Brain or cardiovascular oscillation: ultra-slow oscillations under 0.01 Hz 
detected by resting-state fMRI

Pais Roldán, P; Edlow, B; Stelzer, J; Jiang, Y; Yu, X

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Brain or cardiovascular oscillation: ultra-slow oscillations under 0.01 Hz detected by resting-state fMRI

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Pais Roldán, P
Research Group Translational Neuroimaging and Neural Control, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Stelzer, J
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Jiang, Y
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Research Group Translational Neuroimaging and Neural Control, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Yu, X
Research Group Translational Neuroimaging and Neural Control, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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https://www.ismrm.org/18/program_files/EP16.htm
(Abstract)

https://www.ismrm.org/18/Electronic_Posters.pdf
(Abstract)

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Citation

Pais Roldán, P., Edlow, B., Stelzer, J., Jiang, Y., & Yu, X. (2018). Brain or cardiovascular oscillation: ultra-slow oscillations under 0.01 Hz detected by resting-state fMRI. Poster presented at Joint Annual Meeting ISMRM-ESMRMB 2018, Paris, France.

Cite as: https://hdl.handle.net/21.11116/0000-0001-821F-A

Abstract

A high amplitude slow wave component of frequency 0.005 to 0.012 Hz was observed in multiple resting state fMRI scans of the rat brain under different anesthetics. These ultra-slow waves were localized predominantly in the hypothalamus. We hypothesize that these ultra-slow oscillations might have a neurological origin and may contribute to the analysis of resting state connectivity, which is currently limited to frequencies above 0.01 Hz . Future studies should investigate the origin of these oscillations with an independent measure (e.g. calcium imaging) and the implications of their incorporation into the analysis of rs-fMRI.