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.
Visa merOrganisationer 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
VetenskapligKollegialt utvärderad
Kollegialt utvärderadUKM:s publikationstyp
A1 Originalartikel i en vetenskaplig tidskriftPublikationskanalens uppgifter
Journal
Förläggare
Volym
206
Artikelnummer
116338
ISSN
Publikationsforum
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