Joanes Grandjean1, Francesca Mandino1, Ling Yun Yeow1, Teoh Chai Lean1, Chris Jun Hui Ho1, Amalina B. E. Attia1, Lai Guan Ng2, Malini Olivo1, Fu Yu1, and Akhila Balachander2
1Singapore Bioimaging Consoritum, Agency for Science, Technology and Research, Singapore, Singapore, 2Singapore Immunology Network, Agency for Science, Technology and Research, Singapore, Singapore
Synopsis
BOLD functional magnetic
resonance imaging (fMRI) provides crucial information about the large-scale
organisation and function of the healthy and diseased brain. Despite its
widespread use, identifying the neuronal-basis for specific functional
imaging-based signatures, identified in human disorders and animal models,
remains a mostly unmet challenge. Presently, we combine chemogenetic
neuromodulation with whole-brain resting-state mouse fMRI and tissue clearing,
to reveal both the functional contribution and spatial localization of a
targeted neuronal population on resting-state functional connectivity. This
approach enables researchers to examine the functional role played by selected
neuronal populations on distributed neuronal networks.
Introduction
Resting-state functional connectivity (rs-FC)
offers a unique window in the functional macro-organisation of the human and animal
brain. Despite its widespread use to characterize the functional signatures in
brain disorders and in animal models, a clear translational path to relate these
observations to cellular/molecular mechanisms remains mostly lacking. The
latter limitations are due to (i) the lack of specificity of the resting BOLD
signal and (ii) differences in scales between the rs-FC network described and
the underlying neuronal populations forming these networks. Optogenetic or
chemogenetic approaches allow to dynamically modulate activity within
genetically-defined neuronal populations. When used on animal models, these
approaches offer a method to identify the functional signature of targeted
neurons onto distributed rs-FC networks, thus overcoming the first limitation. Chemogenetic
control is achieved by using “designer receptors exclusively activated by
designed drug” (DREADD), a family of proteins leading to either depolarization
(hM3Dq neuronal activation) or hyperpolarization (hM4D(Gi) neuronal inhibitor)
upon interaction with its ligand clozapine N-oxide (CNO). Moreover, using
tissue clearing approaches such as uDISCO [1],
it becomes possible to directly relate transfected neurons at a microscopic
scale to spatially distributed rs-FC networks, thus overcoming the second
limitation. Presently, we have combined both approaches using
chemogenetic-controlled neuronal inhibition in order to identify the functional
signature of glutamatergic neurons within the insular cortex, a hub region within
the salience network and a candidate population affected in depressive
disorders [2].Method
C57B6/J female mice (n=6) were injected stereotactically with
AAV8-CaMKII-hM4D(Gi)-mCherry viral vector (Addgene) into the insular
cortex (x=3.1mm, y=1.2mm, z=1.5mm, 1ul, Fig. 1A). Animals were imaged 3 weeks
post-injections using a resting-state functional magnetic resonance (fMRI)
protocol optimized for the mouse [3, 4].
Animals were anesthetized using isoflurane 0.5% and medetomidine 0.1mg/kg/h
i.v., and mechanically ventilated under muscle relaxation with pancuronium
bromide. Animals were imaged over two sessions, either 20 min following s.c. administration
of hM4D(Gi) ligand CNO or vehicle. Images were collected on an 11.75T Biospec
equipped with a 2x2 phased-array receiver cryoprobe. Gradient-echo EPI were
collected with the following parameters: repetition time (TR) 1000ms, echo time
(TE) 15ms, flip angle 50°, 0.18x0.15 mm² in plane resolution, 0.35mm slice
thickness, 28 slices, number of volumes 1200. Functional images were processed
using the FIX pipeline [4].
Animals were perfused transcardically with cold PFA 4% and processed with uDISCO
tissue clearing method[1].
Cleared brains were imaged with light-sheet microscopy (Ultramicroscope, LaVision
Botec GmbH, Germany)to reveal mCherry fluorescence. Cleared brains were imaged
with MRI using a 3D TurboRARE sequence:
TR 1800ms, effective TE 33.9ms, RARE factor 16, number of average 2, 0.1
mm³ resolution. Fluorescence imaging volumes were downsampled and registered
linearly to the corresponding ex-vivo MR volumes. Non-linear transformations
estimated between the ex-vivo MR volumes and standard AMBMC space (Australia
Mouse Brain Mapping Consortium, www.imaging.org.au/AMBMC/AMBMC) were applied to
the fluorescence imaging volumes. Results
Rs-FC network overlapping with the insular cortex was
identified based on an independent component analysis decomposition carried out
previously (Fig. 1A) [4], and it is proposed as the putative
rodent salience network [5]. Animals recovered from the surgical
procedures without notable changes in animal behaviour. Viral vector injection
led to the robust expression of hM4D(Gi)-mCherry fusion protein within
identifiable cell bodies as imaged with light-sheet microscopy (Fig. 1B).
Registration of a unilaterally-injected ex-vivo brain to AMBMC space reveals a
fluorescent focus overlapping with the insular cortex (Fig. 1C). Tissue-clearing
induced deformations could be effectively accounted for during the
normalization process (Fig. 2). Administration of CNO, the ligand for
inhibitory DREADD hM4D(Gi), lead to widely reduced rs-FC within the targeted
resting-state functional network (Fig. 1c), compared to vehicle administration. Discussion
Relating rs-FC signatures to
specific neuronal events remains a difficult conceptual barrier to breach, due
to differences in scales and the indirect nature of the haemodynamic BOLD
signal recorded with fMRI. Combining the neuromodulatory possibilities of
chemogenetic, whole-brain functional imaging, and high-resolution whole-brain
fluorescent imaging, allows for mapping of the distal modulatory effect that
selected neuronal populations exert on distributed resting-state networks. This
combined approach is expected to validate neuronal populations identified in
animal models of brain disorders, thus guiding therapeutic efforts toward
imaging-based targets identified in human disorders and animal models. Acknowledgements
No acknowledgement found.References
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