Eswar Damaraju1, Margaret Lentz2, Jeffrey David Lewine1,3, David Thomasson2, Nadia Biassou4, Anna Honko2, Vince Calhoun1, and Peter Jahrling2
1Mind Research Network, Albuquerque, NM, United States, 2Integrated Research Facility/NIAID, Frederick, MD, United States, 3Lovelace Family of Companies, Albuquerque, NM, United States, 4NIH Clinical Center, Bethesda, MD, United States
Synopsis
Ebola has the potential to cause both acute and chronic
compromise of neurological status. To
better understand the relevant neurobiology, a pilot MRI study of infected
macaques was performed. Data indicate
that Ebola exposure leads to acute disruption of some, but not all, intrinsic
connectivity networks, even in the absence of intraparenchymal lesions. These studies represent the first
non-invasive functional imaging studies of living, Ebola infected non-human
primates. Introductory Overview
During the acute phase of Ebola virus disease, neurological
symptoms including headache, encephalitis, seizures, and cognitive difficulties
are often reported, and there is growing evidence for long-lasting neurological
and cognitive compromise in Ebola survivors 1-3. To better understand the relevant
neurobiology, it would be valuable to have a non-human primate model amenable
to serial evaluation with translational non-invasive brain imaging methods. Such studies have heretofore not been
possible given the need for high-level acute containment of infected animals. NIAID has recently established the Integrated
Research Facility (IRF) which provides a unique opportunity for performing
non-invasive brain imaging (MRI, CT, PET, and SPECT) within a BSL-4
environment. As a first step towards the
development of a NHP model to look at neurobiological deficits in Ebola
survivors, we examined the acute impact of Ebola on brain resting-state
functional connectivity.
Purpose
The main goal of this study was to assess the impact of
Ebola on brain function during the acute phase of the disease.
Methods
Pre and post-Ebola exposure MRI data were collected from four
isoflurane sedated rhesus macaques. Animals were imaged using a
Philips Achieva 3 Tesla MR clinical scanner equipped with a Head SENSE Coil. Multi-slice, FFE, EPI-based resting state
fMRI data were collected over the course of 7 minutes, with an in-plane
resolution of 1.5 x 1.5 mm2 and a slice thickness of 1.5 mm. Other imaging
parameters included a TR/TE of 2070/25 ms, NSA = 1, 100 dynamic scans, fat
saturation using SPIR, EPI factor = 31, and a FOV = 96 mm x 96 mm. Data
were collected a few days prior to Ebola infection and 7-10 days after exposure. Animals were infected with Ebola (Makona
strain) through an intramuscular route, with a target dose of 1,000 TCID50.
Pre-processing of the resting-state fMRI data was performed
using AFNI4. Following rigid
body head motion correction, extracted brain data underwent spatial
normalization with respect to a macaque atlas5. Subsequently, data
were smoothed using 3mm FWHM Gaussian filter. Prior to performing group
independent component analysis (GICA), the time course of each voxel was
normalized with respect to its variance.
Using the GIFT Toolbox6 a single GICA was performed to
extract 20 independent spatial sources, using all of the data from both pre and
post-exposures session with each of the 4 macaques. Subject-specific component
maps and associated time courses were obtained using back projection. Artifact
components and components of biological interest were separated by (1)
evaluating the dynamic range and amplitude of low frequency power in the time
course spectrum of each component7and (2) evaluation of the spatial
profile of the ICA-extracted intrinsic connectivity networks (ICNs) with
respect to the profiles of components reported in prior literature8,9.
Results
Six ICNs of interest were identified. These included the default-mode network, a pre-frontal
network, auditory and sensorimotor networks, and two visual networks (primary
and association). For three of these
(default mode, pre-frontal, and primary visual), Ebola infection had minimal
impact on functional connectivity. In contrast, the auditory, sensorimotor, and
association visual networks showed marked, Ebola-related reductions in
functional connectivity (see figure 1).
Concurrent T1/T2 structural imaging did not reveal any gross lesions,
although some generalized mild atrophy and ventricular dilation was present for
some animals.
Susceptibility weighted imaging revealed diffuse subarachnoid
hemorrhage and venous congestion.
Discussion
The most likely explanation for network-specific disruptions
in connectivity is a selective vulnerability in the disrupted networks with
respect to (1) a general Ebola-related reduction in hemodynamic compliance
[animals were generally at the time of the second scan), (2) local
mass/pressure-effects from the hemorrhagic blood products leaked into
sub-arachnoid regions around blood vessels, and/or (3) an Ebola triggered
neuro-inflammatory response. Future
studies, to include more time points and additional measures of regional blood
flow and hemodynamic response, will help to clarify these mechanisms of
action.
Conclusions
Functional brain imaging of Ebola infected NHP is possible,
even when animals are maintained in a BSL-4 environment. Data indicate that some ICNs are more
vulnerable to perturbation than others.
This study sets the stage for future work to explore the neurobiological
impact of Ebola on survivors.
Acknowledgements
Data collection was supported by the NIAID Division of Intramural Research and
the NIAID DCR, and was performed under Battelle Memorial Institute contract (No.
HHSN272200700016I) with NIAID. Data analyses were supported by internal development funds from the Mind Research Network and Lovelace Family of Companies.References
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