Daniel Albaugh1, Nathalie Van Den Berge2, Andrew Salzwedel3, Wei Gao3, Garret Stuber4, and Yen-Yu Ian Shih5
1Curriculum in Neurobiology, UNC-Chapel Hill, Chapel Hill, NC, United States, 2University of Ghent, Ghent, Belgium, 3Cedars-Sinai Medical Center, Los Angeles, CA, United States, 4Psychiatry, UNC-Chapel Hill, Chapel Hill, NC, United States, 5Biomedical Research Imaging Center, UNC-Chapel Hill, Chapel Hill, NC, United States
Synopsis
In this study, we unraveled the circuit and network connectivity of the rodent external globus pallidus (GPe), both in the healthy animals and a parkinson's disease model. We also employed multiple stimulation types (electrical and optogenetic), as well as fMRI modalities (evoked-fMRI and functional connectivity analyses) to provide an exhaustive analysis of this dynamic brain nucleus.Purpose
The
external globus pallidus (GPe) has been historically described as a simple
relay nucleus through the basal ganglia, receiving striatal input and
projecting output through the subthalamic nucleus
1. However, recent
anatomical studies have demonstrated newfound complexity in GPe connectivity,
highlighting its potential role as far more than a relay nucleus
2-3.
In sum, such studies are providing a paradigm shift in our evaluation of the basal
ganglia’s circuit architecture, necessitating closer evaluation of the
functional connectivity patterns among its constituent nuclei. Complementary to
anatomical studies, circuit stimulation approaches provide an ideal means for
mapping the dynamic output patterns of target nuclei, including the
directionality of downstream modulation (excitation or inhibition), and
alterations in healthy vs. disease states. When combined with unbiased fMRI
readouts, brain stimulation tools can be employed to map the global functional
connectomes of brain nuclei with a high degree of circuit recruitment
specificity. Here, we first used electrical stimulation of the GPe (at a range
of stimulation frequencies) combined with evoked and functional connectivity
(fc)-fMRI to map the functional connectome of the GPe in healthy rodents. Next,
we employed optogenetic tools to more selectively stimulate GPe neurons,
mapping the resultant downstream circuit modulation with evoked-fMRI. Finally,
we compared the optogenetically-evoked modulation patterns in healthy rodents
to those obtained by optogenetically stimulating the GPe in parkinsonian rats.
Our results, detailed below, uncover a bewildering complexity in the GPe’s
functional connectome, sensitive to stimulation type and frequency, as well as
healthy vs. diseased state.
Methods
Wildtype
Sprague-Dawley rats were either implanted with a tungsten microwire electrode
unilaterally targeting the GPe for electrical stimulation studies (n=7), or
prepared for optogenetic-fMRI studies (n=12) via microinjections with an
adeno-associated virus (AAV) carrying the gene encoding channelrhodopsin-2
(ChR2), fused to an enhanced yellow fluorescent
protein (EYFP) or only EYFP (synapsin promoter). A subset of animals also
received ipsilateral microinjections of 6-hydroxydopamine targeting the medial
forebrain bundle, the gold-standard approach for inducing experimental parkinsonism
in rodents
3-4. Electrical GPe stimulation was conducted
using a current amplitude of 300uA, 500us pulse duration. Optogenetic GPe stimulation was
conducted under the following parameters: 10 ms pulse width, 40Hz, 473-nm
wavelength, 16-20mW light pulses. Each rat was endotracheally intubated and ventilated with 0.5%
isoflurane and medical air. Dexmedetomidine (0.1 mg/ml) and pancuronium
bromide (1.0 mg/ml) were infused intravenously for duration of scan. For CBV-weighted MRI, a tail-vein catheter
was used to deliver monocrystalline iron oxide contrast agent at a dose of 30
mg Fe/kg. Single shot, single sampled
GE-EPI sequences (BW= 300 kHz, TR= 1000 ms, TE= 8.107 ms, 80x80 matrix, FOV=
2.56 x 2.56 cm2, slice thickness= 1 mm) were acquired using a Bruker 9.4T MR
scanner and home-made surface coil. Automatic
co-registration using SPM codes were applied to realign time-series data within
subjects and then again across subjects. Data were analyzed
using our established pipelines detailed elsewhere
5-7.
Results
The experimental setups for electrical and optogenetic
stimulation of the GPe are shown in
Fig 1a and
2a, respectively. Electrical stimulation of the GPe resulted in
widespread modulation of evoked- and fcMRI signals (
Fig 1b-d). Notable findings from our evoked-fMRI dataset include robust
CBV increases of the ipsilateral prefrontal cortex, as well as bidirectional,
stimulation frequency-dependent modulation of striatal CBV signals (negative at
10Hz, positive at 70Hz and above). fcMRI
provided evidence of robust, frequency-dependent global network modulation by electrical
GPe stimulation, with more robust network changes observed with 130Hz compared
to 40Hz stimulation. Compared to electrical stimulation, optogenetic
stimulation at 40Hz resulted in a more spatially restricted pattern of
modulation, with prominent CBV increases locally within the GPe, and CBV
decreases in the neighboring dorsal striatum (
Fig 2b-c). Surprisingly, in Parkinsonian rats,
optogenetically-evoked striatal vasoconstriction downstream was substantially
reduced. Moreover, a unique prefrontal negative CBV signal emerged during GPe
stimulation in these subjects.
Discussion
This
study provides an in-depth characterization of the functional connectivity of
the GPe, on circuit and network-levels, as well as in healthy and parkinsonian
rodents. Our data clearly do not conform to the traditional model of the GPe as
a straightforward relay nuclei; modulation of several noncanonical downstream
circuits was observed, including prefrontal cortex and striatum. Our optogenetic experiments of GPe connectivity
in the healthy and parkinsonian states was prompted by a number of studies
demonstrating basal ganglia rewiring in the parkinsonian state
3-4.
Our finding of reduced striatal vasoconstriction during GPe stimulation in parkinsonian
animals is strongly suggestive of pallidostriatal circuit rewiring in the
dopamine-depleted state. Future studies will address the electrophyiological
correlates of this disease-altered striatal fMRI signal.
Acknowledgements
We thank Jon Frank and Joseph Merill of theUNC Biomedical Research Imaging Center (BRIC) Small Animal Imaging (SAI) facility for technical assistance. We also thank members of the Shih laboratory for valuable discussions concerning the experiments described in this manuscript. D.L.A. was supported by the National Institute of Neurological Disorders and Stroke (NINDS)(NS087909). N.V.D.B. was supported by the Research Foundation Flanders. G.D.S. was supportedby the Klarman Family Foundation, the Brain and Behavior Research Foundation, the Foundation for Prader-Willi Research, the Foundation of Hope, the National Institute on Drug Abuse (DA032750 and DA038168), and the Department of Psychiatry at UNC Chapel Hill. W.G. was supported by the NINDS (NS088975) and Cedars-Sinai Medical Center. Y.Y.I.S. was supported by the NINDS(NS091236), the National Institute of Mental Health (MH106939), the National Institute on Alcohol Abuse and Alcoholism (AA020023), the National Institute of Health UL1TR001111 sub-awards 550KR81420 and 550KR91413, the Brain and Behavior Foundation Young Investigator Award and Ellen Schapiro & Gerald Axelbaum Investigator fund, the American Heart Association Scientist Development Award (15SDG23260025), and the Department of Neurology and the Biomedical Research Imaging Center at UNC Chapel Hill.References
[1] Wichmann and Delong, Curr Opin
Neurobiol 1996; 6(6):751-8.[2] Saunders et al., Nature 2015; 521(7550):85-9.
[3] Mallet et al., Neuron 2012; 74(6):1075-86. [4] Gittis et al., Neuron 2011;
71(5):858-68. [5] Shih et al., J Neurosci 2009; 29(10):3036-44.
[6] Shih et al., J Cereb Blood Flow Metab 2014; 34(9): 1483-92. [7] Elton and
Gao, Cortex 2014; 51:56-66.