Tung-Lin Wu1,2, Arabinda Mishra1, Feng Wang1,3, Li Min Chen1,3, and John C. Gore1,2,3
1Vanderbilt University Institute of Imaging Science, Nashville, TN, United States, 2Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 3Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, United States
Synopsis
Low-frequency fluctuation of resting state
functional MRI (rsfMRI) signals have been linked to changes in the spontaneous
neuronal activity, but their relationships have not been established.
Anesthesia is known to suppress neuronal activity. Thus, by examining the
effects of different levels of anesthesia on changes in inter-regional
functional connectivity and the power spectra, we will be able to assess the
neuronal origins of the rsfMRI signals. We carried out live anesthetized
squirrel monkey experiments that measure how low frequency fluctuations and
inter-regional functional connectivity within a small local network (primary
somatosensory cortex) vary as isoflurane levels are altered in a small range.Target
Audience
Investigators interested in neural basis of fMRI and
resting state connectivity
Background
Low-frequency fluctuations in resting state functional
MRI (rsfMRI) signals have been linked to changes in spontaneous neuronal
activity [1], but their specific relationships have not been well established. Anesthesia
is known to suppress neuronal activity, so by examining the effects of
different levels of anesthesia on changes in inter-regional functional
connectivity and signal power spectra, we are able to investigate the neural
origins of rsfMRI signals. Recent studies have demonstrated that different
isoflurane dosages affect connectivity strengths between cortical regions [2].
Extending this line of research, we acquired resting state MR images from live
anesthetized squirrel monkeys and measured how the fractional amplitude of low
frequency fluctuations (fALFF), amplitude of low frequency fluctuations (ALFF),
and inter-regional functional connectivity metrics varied within a small local
network (subregions within the primary somatosensory cortex, S1) as isoflurane
levels were altered.
Methods
Two male adult squirrel
monkeys have been studied to date. MR images were acquired on a 9.4T magnet using
a 3-cm diameter surface transmit-receive coil centered over S1 cortex. Four
2-mm-thick oblique image slices were centered over the central and lateral
sulci. High resolution T2*-weighted anatomical images were also acquired using
a gradient echo sequence (TR/TE=200/16 ms, resolution of 0.068x0.068x2 mm3).
BOLD-sensitive functional images were acquired in both resting and tactile
stimulation conditions, using a T2*-weighted GE-EPI sequence (TR/TE=1500/19ms,
1 shot, resolution of 0.547x0.547x2 mm3, 300 volumes). Isoflurane
was maintained at three different levels: 0.5%, 0.875% and 1.25%. At each
isoflurane level, multiple runs of the functional data were acquired. 8 Hz
vibrotactile stimulation of individual distal finger pads, as alternating 30
seconds off/on blocks, was used to elicit cortical activations in S1
subregions. The strongest stimulus-responsive voxels were identified as seeds
in areas 3b, 3a and 1 for subsequent resting state analyses, along with
reference regions in adjacent surface muscle. Resting fMRI data were corrected
for slice-timing, motion and then spatially smoothed in-plane with a full width
at half maximum of 0.8mm in spm8 with Matlab. Motion regression was then
performed as well as linear detrending. fALFF and ALFF maps were computed by
transforming each voxel time series into its power spectral density via the
Fourier Transform, with emphasis on the low frequency range (0.01-0.08Hz). The
functional responses of fMRI seeds were confirmed with later electrophysiology
recordings and those voxels were used for both power and inter-ROI correlation
analyses.
Results
and Discussion
Representative time
series and their respective power spectral densities at different anesthesia
levels revealed diminishing BOLD signal fluctuations when isoflurane level was
increased (Figure 1A). Power amplitudes
in the time series under low anesthesia were also greater than the ones at
higher anesthesia level (Figure 1B). Boxplot group analyses of fALFF and ALFF
in the S1 subregions further showed that low frequency oscillations decreased
linearly as anesthesia level increased (Figure 2) whereas control muscle
regions showed no trends (data not shown). Furthermore, functional connectivity
strengths between seed regions of interests for different isoflurane levels showed
trends similar to power analyses. In particular, the number of highly correlated
voxels to the area 1 seed is significantly reduced (Figure 3, thresholded at
r>0.6) as anesthesia level was increased from 0.5%, 0.875, and 1.25%. Moreover,
pair-wise quantification of the inter-regional functional connectivity
strengths (r values) at the group level supports this observation (Figure 4A). Correlation
strength between area 1 and area 3b decreased as isoflurane levels increased (left
three columns of Figure 4A), while the correlation strengths remained rather
constant between area 1 and the control regions (right three columns of Figure
4A). A matrix plot of the mean inter-regional correlation strengths as a
function of different anesthesia levels (Figure 4B) further highlights the same
phenomenon. In summary, quantification of power changes and correlation
strengths at the group level indicate that increased isoflurane level decreased
the fluctuation of BOLD signals and the measured correlations within a small
local circuit.
Conclusion
Variations in neural activity by changing the
anesthesia levels of squirrel monkeys have been reflected in both the power
analyses and apparent functional connectivity of resting state fMRI signals in
specific regions of the somatosensory region. Given the known suppressive
effects of anesthesia on neuronal activity, our observation of decreased
functional connectivity to increased level of isoflurane supports the neuronal
origins of rsfMRI signals, though further measurements of global changes in SNR
and their potential influence are being evaluated.
Acknowledgements
We
thank Dr. Pai-Feng Yang for assistance in ROI seed selection, and Mrs. Chaohui
Tang and Mr. Fuxue Xin of the Vanderbilt University Institute of Imaging
Science for their assistance in animal preparation and care during MRI data
collection. References
[1] Shmuel and
Leopold 2008. Shmuel A, Leopold
DA. Neuronal correlates of spontaneous fluctuations in fMRI signals in
monkey visual cortex: implications for functional connectivity at rest. Hum Brain Mapp 29: 751–761, 2008.
[2] Hutchison RM et al. (2014) Isoflurane induces
dose-dependent alterations in the cortical connectivity profiles and dynamic
properties of the brain’s functional architecture. Hum Brain Mapp 35:5754
–5775. CrossRef Medline