Yumiko Tsubakihara1, Mitsuhiro Takeda1, Sosuke Yoshinaga1, and Hiroaki Terasawa1
1Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
Synopsis
Muscone,
a musk odorant component that attracts male mice, binds to olfactory receptors
on the olfactory epithelium. Subsequently, activation signals are transferred from
the receptors to the olfactory bulb, and then to the olfactory cortex and other
brain regions. To detect such odor-evoked activation pathways associated with the
perception of odorants and induced behaviors, we employed a method that
combines periodic odor stimulation and independent component analysis. In this
study, we used medetomidine as the anesthesic. Since medetomidine reportedly
influences neural activity in a dose-dependent manner, we investigated the muscone-evoked
activations at different levels of medetomidine anesthesia.
Introduction
Olfaction
is an essential sense for animals and involves brain activation.1 Animals
utilize olfaction in avoiding danger, finding food and breeding. We have been
studying olfaction in mice by functional MRI. Mice are a useful model in
studying animal olfaction, because they have a well-developed olfactory system.
Muscone is a major component of musk that attracts male mice,2 and binds
to olfactory receptors, MOR215-1 and MOR214-3, on the olfactory epithelium.3
The activation signals are transferred from the receptors to the olfactory bulb,
which is the primary center of the olfactory system. The olfactory bulb then relays
the signals to the olfactory cortex, as revealed by an immunohistochemistry
assay4 (Fig. 1). In order to investigate the olfactory activation
pathways in the mouse brain, the BOLD fMRI method is a promising approach. Indeed,
the odor-evoked responses in the olfactory bulb have previously been studied by
this method.5 However, the mouse brain is small, and thus the
detection sensitivity in the BOLD method is low.6 To address this problem,
we used a method that combines periodic odor stimulation and independent
component analysis (ICA).7 In the method, stimulations are applied
at constant intervals. As a result, and task-relevant neural activations occur
periodically and are detected by the ICA method. To apply the odor stimulation
in a strictly periodic manner, an automated odor stimulation system was
constructed.8 In this study, we employed medetomidine as the anesthetic for these experiments.
Medetomidine is widely used for functional MRI studies of animals. A previous
study of the resting-state functional connectivity of mice demonstrated that
medetomidine affected the neural activity in a dose-dependent manner.9 We examined the influence of medetomidine anesthesia on the muscone-evoked
activation.Method
We employed
an automated odor stimulation system (in collaboration with the ARCO SYSTEM) to
apply periodic odor stimulations to mice.8 In this system, a drop of
muscone solution was placed in a syringe pump, and the syringe was filled with
the muscone vapor. The syringe pump was then automatically operated to infuse
the saturated muscone vapor into the mouse nose (Fig. 2A). MRI experiments were
performed with a 7.0 Tesla Bruker BioSpec 70/20 scanner and a mouse brain
2-channel phased array surface cryogenic coil (Bruker BioSpin). Mice (male
C57BL/6, 8–10 weeks old) were anesthetized with 1.3% isoflurane and then
secured in the MRI cradle. A bolus of medetomidine
(0.3 mg/kg) was injected intraperitoneally. Subsequently, different levels of
medetomidine were continuously infused, at 0.01, 0.05 and 0.10 mg/kg/h. At 30
min after the bolus injection, the stimulation with muscone was initiated. At 1
min intervals, muscone vapor was applied for 5 sec, and this task was repeated
24 times. During the odor stimulation experiment, GRE-EPI images were acquired:
TR/TE = 2000/21.4 ms; FOV = 1.92×1.44 cm2; matrix = 96×72;
resolution = 200×200 µm2; slice thickness = 400 µm; number of slices
= 19; NEX = 1; flip angle = 70°. Data from three mice were combined and
analyzed by ICA (Fig. 2B). The scanned functional data were registered to a
template10 and subjected to the group ICA method, using the FSL
(FMRIB Software Library; www.fmrib.ox.ac.uk/fsl) program. Signal transition
components with the 16.7 mHz frequency were selected as the
stimulation-relevant activations, and then the positive components were
manually selected. Then, the locations of the
components were identified using the annotation map.11
Results
We initially examined
the effect of the medetomidine concentration on the muscone-evoked activations.
As a result, the number of components detected at the olfactory bulb and the olfactory
cortex increased with decreasing concentrations of medetomidine (Fig. 3A). We
then focused on the activations detected at the lowest concentration (i.e., 0.01
mg/kg/h), at which a total of 18 activation components were detected in the
whole brain. The activated regions included the ventral side of the olfactory
bulb, olfactory tubercle, piriform cortex and nucleus
accumbens (Fig. 3B).Discussion
Medetomidine
is widely used for functional MRI studies. However, medetomidine anesthesia
influences the neural activities evoked by muscone (Fig. 3A). This result was
qualitatively consistent with the results obtained in a resting-state
functional MRI study. The olfactory bulb is the primary center in the olfactory
system and relays the activation signals to higher-order brain regions. The
muscone-evoked activation on its ventral side was consistent with the
immunohistochemical analysis.4 The piriform cortex and olfactory
tubercle belong to the olfactory conduction pathway. The muscone-evoked
activations detected by immunohistochemistry4 are consistent with those
observed in this study. In addition, other activated regions were detected in
the whole brain. These regions are potentially associated with behaviors evoked
by odor stimulation.Conclusion
We
detected muscone-evoked activations in the brains of male mice under
medetomidine anesthesia, by the BOLD-ICA method. The muscone-activated regions,
detected at low medetomidine concentrations, included the olfactory bulb,
olfactory cortex, and other regions.Acknowledgements
The authors
gratefully acknowledge Dr. Mika Shirasu and Prof. Kazushige Touhara (The
University
of Tokyo)
for fruitful discussion.References
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