A1 Journal article (refereed)
Multi-band SWIFT enables quiet and artefact-free EEG-fMRI and awake fMRI studies in rat (2020)

Paasonen, J., Laakso, H., Pirttimäki, T., Stenroos, P., Salo, R. A., Zhurakovskaya, E., Lehto, L. J., Tanila, H., Garwood, M., Michaeli, S., Idiyatullin, D., Mangia, S., & Gröhn, O. (2020). Multi-band SWIFT enables quiet and artefact-free EEG-fMRI and awake fMRI studies in rat. NeuroImage, 206, Article 116338. https://doi.org/10.1016/j.neuroimage.2019.116338

JYU authors or editors

Publication details

All authors or editors: Paasonen, Jaakko; Laakso, Hanne; Pirttimäki, Tiina; Stenroos, Petteri; Salo, Raimo A.; Zhurakovskaya, Ekaterina; Lehto, Lauri J.; Tanila, Heikki; Garwood, Michael; Michaeli, Shalom; et al.

Journal or series: NeuroImage

ISSN: 1053-8119

eISSN: 1095-9572

Publication year: 2020

Volume: 206

Article number: 116338

Publisher: Elsevier

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1016/j.neuroimage.2019.116338

Publication open access: Openly available

Publication channel open access: Open Access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/67446

Abstract

Functional magnetic resonance imaging (fMRI) studies in animal models provide invaluable information regarding normal and abnormal brain function, especially when combined with complementary stimulation and recording techniques. The echo planar imaging (EPI) pulse sequence is the most common choice for fMRI investigations, but it has several shortcomings. EPI is one of the loudest sequences and very prone to movement and susceptibility-induced artefacts, making it suboptimal for awake imaging. Additionally, the fast gradient-switching of EPI induces disrupting currents in simultaneous electrophysiological recordings. Therefore, we investigated whether the unique features of Multi-Band SWeep Imaging with Fourier Transformation (MB-SWIFT) overcome these issues at a high 9.4 T magnetic field, making it a potential alternative to EPI. MB-SWIFT had 32-dB and 20-dB lower peak and average sound pressure levels, respectively, than EPI with typical fMRI parameters. Body movements had little to no effect on MB-SWIFT images or functional connectivity analyses, whereas they severely affected EPI data. The minimal gradient steps of MB-SWIFT induced significantly lower currents in simultaneous electrophysiological recordings than EPI, and there were no electrode-induced distortions in MB-SWIFT images. An independent component analysis of the awake rat functional connectivity data obtained with MB-SWIFT resulted in near whole-brain level functional parcellation, and simultaneous electrophysiological and fMRI measurements in isoflurane-anesthetized rats indicated that MB-SWIFT signal is tightly linked to neuronal resting-state activity. Therefore, we conclude that the MB-SWIFT sequence is a robust preclinical brain mapping tool that can overcome many of the drawbacks of conventional EPI fMRI at high magnetic fields.

Keywords: functional magnetic resonance imaging; animal disease models

Free keywords: awake; electroencephalography; functional connectivity; functional magnetic resonance imaging; rats

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2020

JUFO rating: 2