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Multi-band SWIFT enables quiet and artefact-free EEG-fMRI and awake fMRI studies in rat

Year of publication

2020

Authors

Paasonen, Jaakko; Laakso, Hanne; Pirttimäki, Tiina; Stenroos, Petteri; Salo, Raimo A.; Zhurakovskaya, Ekaterina; Lehto, Lauri J.; Tanila, Heikki; Garwood, Michael; Michaeli, Shalom; Idiyatullin, Djaudat; Mangia, Silvia; Gröhn, Olli

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.
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Organizations and authors

University of Jyväskylä

Pirttimäki Tiina

University of Eastern Finland

Zhurakovskaya Ekaterina

Laakso Hanne

Tanila Heikki

Paasonen Jaakko

Lehto Lauri

Gröhn Olli

Stenroos Petteri

Salo Raimo

Pirttimäki Tiina

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Publisher

Elsevier

Volume

206

Article number

116338

​Publication forum

63888

​Publication forum level

2

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Fully open publication channel

Self-archived

Yes

Other information

Fields of science

Neurosciences

Keywords

[object Object],[object Object]

Publication country

United States

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

No

DOI

10.1016/j.neuroimage.2019.116338

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes