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.
Show moreOrganizations 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
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A1 Journal article (refereed), original researchPublication channel information
Journal
Publisher
Volume
206
Article number
116338
ISSN
Publication forum
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