Ethan A Cook1, Shannon E Callen2, Shilpa Buch2, and Balasrinivasa R Sajja3
1College of Medicine, University of Nebraska Medical Center, Omaha, NE, United States, 2Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE, United States, 3Radiology, University of Nebraska Medical Center, Omaha, NE, United States
Synopsis
In vivo imaging-based biomarkers that can accurately detect the brain
structural and functional changes due to chronic drug abuse play a significant
role to understand and assess brain damage due to cocaine abuse and to
determine the efficacy of the treatment. To this end, we have demonstrated that diffusion tensor MRI could detect brain structural changes, particularly demyelination in white matter structures, in
chronic cocaine administered mice.
INTRODUCTION
Cocaine is a common
stimulant drug of abuse that can cause brain functional, structural,
biochemical, and behavioral changes. Comorbidity with other diseases such as
HIV infection makes it more difficult to understand the long-term mechanism of
underlying disease, its progression, and treatment efficacy. In vivo
imaging-based biomarkers that are sensitive to detect the brain structural
changes due to drug abuse play an important role in longitudinal
studies that are aimed to understand the damage caused to brain and its
therapeutic response. The purpose of this study was to determine if diffusion tensor imaging could detect longitudinal in vivo brain structural changes in cocaine administered mice.MATERIALS AND METHODS
Animals: Four (2-months-old) wild type
C57BL/6 mice with IACUC approval were included in this study. After acquiring the
baseline MRI, cocaine was administered with a dose of 20 mg/kg (via
intraperitoneal injection) daily for 4 weeks. Subsequent MRI scans were
obtained at the end of week 1 (acute) and week 4 (chronic). During the scans, mice were
anesthetized by inhalation of isoflurane in 100% oxygen, and the flow was
adjusted to maintain steady respiration rate of 40-80 breaths/minute.
MRI Data: MRI were acquired on a Bruker (Ettlingen,
Germany) Avance 7T/21 cm horizontal bore small animal scanner operating at
300.41 MHz with ParaVision 6.01 scanner software. Diffusion Tensor–MRI (DT-MRI)
with echo planar imaging (EPI) was acquired with following parameters: number
of segments=4, slices=15, TR/TE=2000/24 ms, slice thickness=0.5 mm, image size=128x128, averages=1, number of gradient directions=12, b-value=800 s/mm2,
and scan duration=12m08s.
Data Processing and Analysis:
DT-MRI were transferred from scanner to a PC for
processing and analysis. First, DTI data were visually screened for any image
distortions and corrected, whenever possible, using in-house developed software
tools. An anisotropic diffusion
filter was applied to reduce noise without blurring the structural boundaries. Diffusion Toolkit (trackvis.org/dtk/) was used to
generate maps of Fractional Anisotropy (FA), Mean Diffusivity (MD), Axial
Diffusivity (AD), and Radial Diffusivity (RD) (Figure 1). ROIs drawn on FA map using
ImageJ (imagej.nih.gov/ij/) were copied onto other maps for analysis.
To remove any outliers, only the pixels with FA values between 0.1 and 0.9 in ROI were considered for analysis in all maps.RESULTS
Allen Mouse Brain Atlas [1] and other DTI studies
in rats [2] were used to identify brain regions for ROI analysis.
Figure 2 shows the brain regions used for DTI analysis. The mean values of each ROI from FA,
AD, MD, and RD maps were measured. The mean and standard deviation values from
all animals (n=4) of each ROI at each time point were calculated. Figure 3
demonstrates these changes, with blue color representing the week 0 (baseline),
green and orange colors representing values at week 1 and week 4 respectively.
A one-tailed paired sample T-test was used to determine statistically
significant change in measures between time points, with a star (*) representing
significance (p< 0.05) between week 0 and week 4 (chronic), a circle (●) between
week 0 and week 1 (acute), and a diamond (◆) between weeks 1 and
4.
All white matter
structures included in this study- the genu (gcc) and splenium (scc) of the corpus callosum, fimbria (fi), and internal capsule (ic) -showed significant decreases in FA
and increases in RD at week 4 compared to week 0, as shown in Figure 3. However,
except in fi no significant change in
AD was detected among other WM structures in chronic use of cocaine. Gray
matter(GM) structures- the cortex (ctx),
hippocampal formation (hpf), and
caudoputamen (cp) -did not respond
uniformly to cocaine administration, with the ctx decreasing in FA, MD and AD at week 4, while the hpf decreased in FA but increased in RD
and MD (Figure 3). Most measures showed the significant change between baseline
and week 1 in the ctx, while the hpf showed significant change between
weeks 1 and 4 as well. In cp, the AD
has decreased at week 1 which returned to baseline by week 4. DISCUSSION AND CONCLUSION
In WM structures (gcc, scc, fi, ic),
increased RD values with little change in LD may be linked to demyelination [3].
Narayana et al. have found similar results in rats and speculated oxidative
stress as the likely cause of oligodendrocyte loss [2]. In the
region ctx, diffusivity changes may be explained by microscopic regions of cocaine-induced arteriolar vasospasm
and recovery [4]. The
hpf also behaved very similarly to
that of WM regions in both FA and MD, perhaps due to its highly structured
organization [5]. The
cp showed no change from baseline,
which is also consistent with intermittent hypo-perfusion being the primary
mechanism of GM damage, as it is resistant to vasospastic ischemia [6].
Efforts to increase the sample size and inclusion of histological results to
confirm our MRI based observations are underway. Future directions include the
studies of cocaine’s interaction with common comorbid substance abuse and
neurological disorders such as HIV infection.
In conclusion, we determined
that damage to mouse neurological structures resulting from chronic cocaine
exposure can be detected in vivo using DTI measures.Acknowledgements
The authors acknowledge the following Shared Resources facilities
__Imaging Core, Animal Core__ at the Chronic HIV infection and Aging in NeuroAIDS (CHAIN)
Center, Grant 2P30MH062261.References
1. Lein, E.S. et al. Genome-wide atlas of gene expression in
the adult mouse brain, Nature 445: 168-176, 2007.
2. Narayana PA, Herrera JJ,
Bockhorst KH. Chronic cocaine administration causes extensive white matter
damage in brain: diffusion tensor imaging and immunohistochemistry studies. Psychiatry
Res. 2014 Mar 30;221(3):220-30.
3. Moeller FG, Hasan KM,
Steinberg JL, Kramer LA, Valdes I, Lai LY, Swann AC. Diffusion tensor imaging eigenvalues:
preliminary evidence for altered myelin in cocaine dependence. Psych Res.
2007 Apr 15;154(3):253-8.
4. You J, Volkow ND, Park K,
Zhang Q, Clare K, Du C, Pan Y. Cerebrovascular adaptations to
cocaine-induced transient ischemic attacks in the rodent brain. JCI
Insight. 2017 Mar 9;2(5)
5. Amaral, David. “Hippocampal Neuroanatomy” The Hippocampus Book,
by Per Andersen, Oxford University Press, 2007, pp. 37–72.
6. Sim ME, Lyoo IK, Streeter
CC, Covell J, Sarid-Segal O. Cerebellar gray matter volume correlates with
duration of cocaine use in cocaine-dependent subjects. Neuropsychopharmacology.
2007 Oct;32(10):2229-37.