Hannes M. Wiesner1, Wei Zhu1, Yi Zhang1, Manuel Esguerra2, Colleen Hutchison2, Mark J. Thomas2, Xiao-Hong Zhu1, and Wei Chen1
1Department of Radiology, CMRR, University of Minnesota Medical School, Minneapolis, MN, United States, 2Departments of Neuroscience and Psychology, University of Minnesota, Minneapolis, MN, United States
Synopsis
Resting
state fMRI (rs-fMRI) has been used to investigate alcohol use disorder (AUD),
mostly in humans; and a wide array of commonly induced neurological changes due
to acute and chronic use have been reported. In this work, we established a rat
model of AUD to longitudinally study the effects of chronic alcohol abuse on
the functional brain connectivity using rs-fMRI at ultrahigh fields.
Preliminary results revealed potential changes in reward-processing circuit
connectivity and global brain activity. Further research is advised to quantify
early effects observed in and between different neural structures (NAc/IBST/PreL/IL
and ACC) during withdrawal stress and relapse.
Introduction
Alcohol use disorder(AUD)
is an ongoing mental health problem with high recidivism due to wide
availability and other factors. However, we still lack of knowledge about the
plasticity in neural circuits that underlies persistent alcohol-induced behavior
changes. Non-invasive fMRI approaches have the promise to detect changes
in functional resting-state activity and neural connectivity(i.e.
rs-fMRI), specifically in reward circuitry during different stages of AUD.
Several neuroimaging studies have investigated the acute condition in humans
and animal models at moderate blood alcohol levels(BAC).1,2
Furthermore, changes have been reported in humans in the default-mode
network due to chronic alcohol abuse.3,4 Few alcohol
rs-fMRI studies have been done in rodents longitudinally comparing acute
conditions directly with longer chronic use, with some specific neurological
deficits5, especially at high BAC.6,7 In this
study, we established a longitudinal rat AUD model to study the reward circuitry
during the acute intake, chronic consumption and withdrawal with relapse using
rs-fMRI at ultra-high field strength.8Materials and Methods
Rat AUD model and study design: Three cohorts of Sprague-Dawley rats (n=27, female)
were used and each animal was scanned multiple times at different phases of AUD
(see Fig. 1). After baseline
acquisition (t1), rats underwent 7
weeks of daily 12h ethanol treatments in a vapor inhalation chamber (La Jolla
Alcohol Research, California). Acute effects of alcohol intake were assessed right
after the daily inhalation cycle at the end of 7-week exposure (t2) in cohorts 1&2. Acute
alcohol-withdrawal effect was studied 6 hours after the daily alcohol exposure
on the first day of withdrawal period (t3).
After 3 weeks of abstinence from ethanol, animals were scanned again (t4), and in the same scan session,
stress inducing chemical (yohimbine) or saline was given (i.p.), which is followed
by another scan (t5) 30min later. The
same scans were conducted before/after the yohimbine injection in cohort 3 rats,
and additional behavioral tests (two-bottle choice) were performed prior the
MRI (Fig. 2b). Blood alcohol contents
were determined weekly with a standard alcohol dehydrogenase assay (Fig. 2a). All procedures were approved
by IACUC of the University of Minnesota.
Acquisition and analysis of rs-fMRI data: Spontaneously breathing animals were
anesthetized (1.1-1.4% Isoflurane) and ear/bite bars were used to prevent head
motion during the scan; animal core temperature was maintained at ~37±1°C via
circulating water. Rats of cohort 1&2 and cohort 3 were scanned at 16.4T/26cm
and 9.4T/31cm animal scanners (Varian Inc.), respectively. Custom-built RF
surface coils (~3cm diameter) were used to acquire functional GE-EPI images
(FOV 32x32mm2, in-plane resolution 0.5x0.5mm2, 12-14 1mm-slices,
TE = 18 ms) with TR=1s and 300 volumes per series, and corresponding anatomic
information. Pre-processing pipeline (Figure
3) includes brain extraction, motion correction, temporal bandpass
filtering (0.01-0.2Hz) and gaussian smoothing (FWHM 1.5mm). The functional and
anatomical MRI data were co-registered to a standard rat brain atlas.
Seed-based analysis was performed using custom-built Matlab analysis programs and
brain connectivity matrices were generated and evaluated.Results
Figure 2a shows an example
BAC information obtained from Cohort2 rats. Acute blood alcohol levels at t2
were within the target range of ~300 mg/dL, while animals displayed reduced
ability to maintain their body temperature. At short-term abstinence (t3), ethanol (32
mg/dL) was almost cleared. The
two–bottle test indicated that the rats in Cohort3 had an increased uptake of
alcohol by preference (Figure 2b).
Preliminary
analysis of the rs-fMRI data lead to following observations: after normalizing
to the baseline condition (t1), an acute exposure to alcohol (t2) resulted in a
globally reduced resting-state network (RSN) activity or RSN sizes. Similar to
t2, but an apparent return towards the baseline during short-term withdrawal
(t3) was observed. Some hyperactivity in arousal networks (e.g. somatosensory Figure 4b) was also appeared during t3.
After a longer withdrawal period, we saw a general reduction in activity (t4) and
the connectivity between NAc-PreL/IL as well as in ACC was changed especially
in T4 and T5 (Figure 4a).
Furthermore, the third Cohort rats showed a stress response that may alter the rsfMRI
connectivity (T4-T5) between the Nucleus Accumbens and BSTN (see Figure 5).Discussion and Conclusions
We designed
a comprehensive longitudinal protocol to study changes in RSN at different
stages of AUD using a rodent model to understand the alcohol-induced neural plasticity.
Exposed animals produced changes in resting-state network on a global and
reward-specific network level (e.g., BSTN-NAc seen in cohort 3 rats). It was
expected in the acute condition (t2) that an additive effect of anesthesia and
acute alcohol may occur, but it was rather surprising that some RSN under the
acute withdrawal (t3) condition was not only recovered but also went beyond
baseline levels. Functional connectivity changes lasted far longer than the
periods of alcohol exposure and preliminary analysis showed stress response
during late withdrawal stages (T5-T4). One note is that the usage of female
rats in this study in some animals created challenges in maintaining stable
physiological conditions and we observed more variations due to the longitudinal
study across all scan sessions. With the sample size and variations observed in
some individual single-animal brain responses between sessions this study provides
valuable insights and motivate more research. Future investigations could benefit
from whole head imaging coverage and more stable preclinical model of AUD.Acknowledgements
NIH
P41 EB027061, P30 NS076408, S10 RR025031, the WM KECK Foundation and
funding by Mitsubishi Tanabe Pharma Corp.References
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