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

Publiceringsår

2020

Upphovspersoner

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

Abstrakt

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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Organisationer och upphovspersoner

Jyväskylä universitet

Pirttimäki Tiina

Östra Finlands universitet

Zhurakovskaya Ekaterina

Laakso Hanne

Tanila Heikki

Paasonen Jaakko

Lehto Lauri

Gröhn Olli

Stenroos Petteri

Salo Raimo

Pirttimäki Tiina

Publikationstyp

Publikationsform

Artikel

Moderpublikationens typ

Tidning

Artikelstyp

En originalartikel

Målgrupp

Vetenskaplig

Kollegialt utvärderad

Kollegialt utvärderad

UKM:s publikationstyp

A1 Originalartikel i en vetenskaplig tidskrift

Publikationskanalens uppgifter

Förläggare

Elsevier

Volym

206

Artikelnummer

116338

Publikationsforum

63888

Publikationsforumsnivå

2

Öppen tillgång

Öppen tillgänglighet i förläggarens tjänst

Ja

Öppen tillgång till publikationskanalen

Helt öppen publikationskanal

Parallellsparad

Ja

Övriga uppgifter

Vetenskapsområden

Neurovetenskaper

Nyckelord

[object Object],[object Object]

Publiceringsland

Förenta staterna (USA)

Förlagets internationalitet

Internationell

Språk

engelska

Internationell sampublikation

Ja

Sampublikation med ett företag

Nej

DOI

10.1016/j.neuroimage.2019.116338

Publikationen ingår i undervisnings- och kulturministeriets datainsamling

Ja