Yi-Ching Lynn Ho1,2, Fiftarina Puspitasari1, Way-Cherng Chen1, and Kai-Hsiang Chuang1
1Singapore Bioimaging Consortium, Agency for Science, Technology & Research (A*STAR), Singapore, Singapore, 2Interdisciplinary Institute of Neuroscience & Technology (ZIINT), Zhejiang University, Hangzhou, China, People's Republic of
Synopsis
We
hypothesized that structure and functional responses do not demonstrate the
same pattern of impairment across time. Using the cuprizone mouse model of
reversible demyelination, we show different longitudinal patterns of neural
activation and functional connectivity, compared to healthy mice and also to the
extent of cuprizone demyelination.Introduction
It is typically assumed that
impaired structure or structural connectivity will have corresponding influence
on functional connectivity and neural activation. Indeed many clinical studies
of disease severity use fMRI metrics as biomarkers [1]. We hypothesized that structure
and functional responses do not demonstrate the same pattern of impairment
across time. Using the cuprizone mouse model of reversible demyelination [2],
we tracked the progression of neural activation and functional connectivity,
and compared the longitudinal changes against that of healthy mice and also the
extent of cuprizone demyelination using histology.
Methods
Experimental design: 8-week-old C57BL/6 male mice (n=8) were fed 0.2% (w/w) cuprizone mixed
in milled chow for 6 weeks, then switched to normal chow for another 6 weeks.
They were imaged at four time points: before starting diet (week 0), 3rd
, 6th and 12th week from start of cuprizone diet. We used
a 9.4T scanner (Agilent Technologies, USA), under a protocol optimized for
mouse resting-state fMRI (0.1-0.6mg/kg/h medetomidine i.p. [3]). fMRI of both
resting state and forepaw stimulation (6Hz, 0.5mA) was performed. A control group
of healthy C57BL/6 mice (n=8) were scanned with the same protocol at the same
time points. A 3rd group of C57BL/6 mice (n=9) went through the same
cuprizone regimen and were sacrificed at 9 different time points to assess
myelination using Luxol fast blue staining.
MRI: BOLD EPI: TR/TE=2000/15ms, α=90°, slices=15,
voxel=0.31x0.31x0.5mm3, volumes (resting state / forepaw
stimulation) = 300/150.
FSE: TR/TE=2500/40ms, echo-train=8, average=2, voxel=0.08x0.08x0.15mm3.
Analyses: Postprocessing:
Data were motion corrected with SPM. Ventricle and muscle signals were
regressed out to avoid physiological noise. All data were coregistered onto an
anatomical template using FSL FLIRT and FNIRT, followed by spatial smoothing
with Gaussian kernel of 2 pixels FWHM.
Resting state fMRI: Data were highpass-filtered
at 0.01 Hz. Whole-brain connectivity maps were generated by seed-based
correlation of averaged regions based on anatomical template and transformed
using Fischer’s z-transformation. One sample t-tests were then done to
determine significant connectivity on a group level. The connectivity scores
(t-values) from M1, S1, S2 and V1 were averaged (cortical regions), while
connectivity scores from the CPu, GP, thalamus, and hippocampus formed another
average (subcortical regions).
Forepaw stimulation fMRI: GLM was
performed to get BOLD activation maps with threshold of p<0.01. Number of
activated voxels and BOLD response amplitudes were calculated.
Statistics:
Mixed model ANOVAs and paired t-tests were done to determine significant
differences.
Results
Demyelination occurred with the introduction of the
cuprizone diet and progressed steadily till Week 6, after which cuprizone was
withdrawn and remyelination occurred as shown in Week 12 (see Fig. 1 for the
histology and T2-weighted images showing the demyelination progression). A
different pattern was observed for interhemispheric connectivity (Fig. 2): An
oscillating pattern of connectivity can be seen for the cuprizone group, with
the weakest connectivity at Week 3, increasing at Week 6 and declining again at
Week 12. This was in all regions observed. There was a significant interaction
between group and time points (p<0.05) with significant difference between
Weeks 0-3 (cortical), Weeks 3-6 (subcortical), Weeks 3-12 (subcortical). The
control data, which was averaged from all the regions showed no significant difference
across time, except for Week 0. This was attributed to a global 30% drop in tSNR
during those control scans. Yet a third pattern was observed for neural
activation (Fig. 3). Both the activated voxel count and BOLD response amplitude
show significantly elevated responses (p<0.05) at Week 3 and Week 6 before
returning to baseline in Week 12. The control data showed no significant
changes across time.
Discussion
We show that the trends of functional responses do
not necessarily follow the trend of structural injury and recovery. In the typical
cuprizone regime, demyelination occurs progressively until the drug is
withdrawn at 6 weeks. However we observe that functional connectivity
oscillates from initial impairment to subsequent increase and settles down
again with remyelination. On the other hand, neural activation is elevated
during the cuprizone regime and returns to baseline upon remyelination. Possible
reasons for the heightened activation responses include inflammation and
disrupted neurovascular coupling. The mild swing back of functional
connectivity at 6 weeks, even when demyelination is most severe, is reminiscent
of the increases in functional connectivity seen in multiple sclerosis patients
with white matter damage [4, 5]. In the latter study, stronger functional
connectivity also correlated with worse cognitive scores. The contrasting
patterns observed in this study highlight the complex relationship of structure
and function, and the need to exercise caution when using functional imaging
biomarkers in assessing disease progression.
Acknowledgements
We thank Hui-Chien Tay for assisting with scans and Wei-Tang Chang for
providing in-house image analysis code.References
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[5] Hawallek et al,
2011, PNAS 108:47