MB-SWIFT functional MRI during deep brain stimulation in rats

Lehto, Lauri J.; Idiyatullin, Djaudat; Zhang, Jinjin; Utecht, Lynn; Adriany, Gregor; Gröhn, Olli; Michaeli, Shalom; Mangia, Silvia

doi:10.1016/j.neuroimage.2017.08.012

Cited by 34 publications

(47 citation statements)

References 44 publications

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“…In this study, we used standard EPI sequence causing significant sound pressure. The current experimental setup can be clearly improved by using pulse sequences with sound optimized gradient wave form design (Hutter et al, 2018 ) or radial acquisition (Lehto et al, 2017 ).…”

Section: Discussionmentioning

confidence: 99%

Awake Rat Brain Functional Magnetic Resonance Imaging Using Standard Radio Frequency Coils and a 3D Printed Restraint Kit

et al. 2018

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Functional magnetic resonance imaging (fMRI) is a powerful noninvasive tool for studying spontaneous resting state functional connectivity (RSFC) in laboratory animals. Brain function can be significantly affected by generally used anesthetics, however, rendering the need for awake imaging. Only a few different awake animal habituation protocols have been presented, and there is a critical need for practical and improved low-stress techniques. Here we demonstrate a novel restraint approach for awake rat RSFC studies. Our custom-made 3D printed restraint kit is compatible with a standard Bruker Biospin MRI rat bed, rat brain receiver coil, and volume transmitter coil. We also implemented a progressive habituation protocol aiming to minimize the stress experienced by the rats, and compared RSFC between awake, lightly sedated, and isoflurane-anesthetized rats. Our results demonstrated that the 3D printed restraint kit was suitable for RSFC studies of awake rats. During the short 4-day habituation period, the plasma corticosterone concentration, movement, and heart rate, which were measured as stress indicators, decreased significantly, indicating adaptation to the restraint protocol. Additionally, 10 days after the awake MRI session, rats exhibited no signs of depression or anxiety based on open-field and sucrose preference behavioral tests. The RSFC data revealed significant changes in the thalamo-cortical and cortico-cortical networks between the awake, lightly sedated, and anesthetized groups, emphasizing the need for awake imaging. The present work demonstrates the feasibility of our custom-made 3D printed restraint kit. Using this kit, we found that isoflurane markedly affected brain connectivity compared with that in awake rats, and that the effect was less pronounced, but still significant, when light isoflurane sedation was used instead.

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Section: Discussionmentioning

confidence: 99%

Awake Rat Brain Functional Magnetic Resonance Imaging Using Standard Radio Frequency Coils and a 3D Printed Restraint Kit

et al. 2018

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“…Recently, a rapid 3D ultrashort TE imaging method based on multiband sweep imaging with Fourier transformation was proposed for animal fMRI during deep brain stimulation, with the objective of using its high tolerance to magnetic susceptibility artifacts, 42 which is also applicable to optogenetic fMRI. However, this method may not be easily translated to human fMRI due to the stringent hardware requirements for rapid transmit/receive switching, in addition to the significant increase in the scan time when a large FOV is to be covered.…”

Section: Discussionmentioning

confidence: 99%

An equal‐TE ultrafast 3D gradient‐echo imaging method with high tolerance to magnetic susceptibility artifacts: Application to BOLD functional MRI

Ryu

Jung

et al. 2020

Magnetic Resonance in Med

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To develop an ultrafast 3D gradient echo-based MRI method with constant TE and high tolerance to B 0 inhomogeneity, dubbed ERASE (equal-TE rapid acquisition with sequential excitation), and to introduce its use in BOLD functional MRI (fMRI). Theory and Methods: Essential features of ERASE, including spin behavior, were characterized, and a comparison study was conducted with conventional EPI. To demonstrate high tolerance to B 0 inhomogeneity, in vivo imaging of the mouse brain with a fiber-optic implant was performed at 9.4 T, and human brain imaging (including the orbitofrontal cortex) was performed at 3 T and 7 T. To evaluate the performance of ERASE in BOLD-fMRI, the characteristics of SNR and temporal SNR were analyzed for in vivo rat brains at 9.4 T in comparison with multislice gradientecho EPI. Percent signal changes and t-scores are also presented. Results: For both mouse brain and human brain imaging, ERASE exhibited a high tolerance to magnetic susceptibility artifacts, showing much lower distortion and signal dropout, especially in the regions involving large magnetic susceptibility effects. For BOLD-fMRI, ERASE provided higher temporal SNR and t-scores than EPI, but exhibited similar percent signal changes in in vivo rat brains at 9.4 T. Conclusion: When compared with conventional EPI, ERASE is much less sensitive, not only to EPI-related artifacts such as Nyquist ghosting, but also to B 0 inhomogeneity including magnetic susceptibility effects. It is promising for use in BOLD-fMRI, providing higher temporal SNR and t-scores with constant TE when compared with EPI, although further optimization is needed for human fMRI. K E Y W O R D S constant echo time, echo-planar imaging, magnetic susceptibility artifacts, quadratic-phase encoding, spatiotemporal encoding, ultrafast imaging How to cite this article: Ryu J-K, Jung WB, Yu J, et al. An equal-TE ultrafast 3D gradient-echo imaging method with high tolerance to magnetic susceptibility artifacts: Application to BOLD functional MRI.

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“…While spin-echo EPI is less vulnerable for susceptibility artefacts, the application can be limited due to the slow acquisition time and heating 51 . Alternatively, the recent development of zero echo time fMRI techniques (e.g., Multi-band SWIFT) 52,53 or Point-spread-function-based phase distortion correction 54 would be promising in terms of reducing susceptibility-induced artifacts for a metallic electrode.…”

Section: Discussionmentioning

confidence: 99%

Multivariate pattern classification on BOLD activation pattern induced by deep brain stimulation in motor, associative, and limbic brain networks

Cho

Min

et al. 2020

Sci Rep

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Deep brain stimulation (DBS) has been shown to be an effective treatment for movement disorders and it is now being extended to the treatment of psychiatric disorders. Functional magnetic resonance imaging (fMRI) studies indicate that DBS stimulation targets dependent brain network effects, in networks that respond to stimulation. Characterizing these patterns is crucial for linking DBS-induced therapeutic and adverse effects. Conventional DBS-fMRI, however, lacks the sensitivity needed for decoding multidimensional information such as spatially diffuse patterns. We report here on the use of a multivariate pattern analysis (MVPA) to demonstrate that stimulation of three DBS targets (STN, subthalamic nucleus; GPi, globus pallidus internus; NAc, nucleus accumbens) evoked a sufficiently distinctive blood-oxygen-level-dependent (BOLD) activation in swine brain. The findings indicate that STN and GPi evoke a similar motor network pattern, while NAc shows a districted associative and limbic pattern. The findings show that MVPA could be effectively applied to overlapping or sparse BOLD patterns which are often found in DBS. Future applications are expected employ MVPA fMRI to identify the proper stimulation target dependent brain circuitry for a DBS outcome.

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MB-SWIFT functional MRI during deep brain stimulation in rats

Cited by 34 publications

References 44 publications

Awake Rat Brain Functional Magnetic Resonance Imaging Using Standard Radio Frequency Coils and a 3D Printed Restraint Kit

Awake Rat Brain Functional Magnetic Resonance Imaging Using Standard Radio Frequency Coils and a 3D Printed Restraint Kit

An equal‐TE ultrafast 3D gradient‐echo imaging method with high tolerance to magnetic susceptibility artifacts: Application to BOLD functional MRI

Multivariate pattern classification on BOLD activation pattern induced by deep brain stimulation in motor, associative, and limbic brain networks

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