Narjes Ahmadian1, Evita Wiegers2, Wybe van der Kemp2, Ellen van Hulst2, Sarah Jacobs2, Pieter van Eijsden3, Dennis Klomp2, Natalia Petridou2, and Alex Bhogal2
1Radiology and Neurosurgery, University Medical Center Utrecht, Utrecht, Netherlands, 2Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 3Neurosurgery, University Medical Center Utrecht, Utrecht, Netherlands
Synopsis
Keywords: Gray Matter, Metabolism
Motivation: To examine the impact of 2-hour glucose infusion on neuronal activity, potentially advancing our understanding of diseases such as diabetes and their regulation of intake, thermogenesis, and the neuroendocrine system.
Goal(s): Determining whether prolonged glucose infusion affects neuronal activity as measured using rsfMRI at 7T.
Approach: High resolution resting-state (rsfMRI) were acquired before and directly after glucose infusion in 9 healthy adult subjects. Neuronal fluctuations were characterized using Fourier-based spectral analysis.
Results: In grey matter, significant differences between pre- and post-glucose infusion were observed, with higher post-infusion rsfMRI amplitudes across various frequencies, especially in the 0-0.15Hz range associated with neuronal fluctuations.
Impact: Our results confirm that changing glucose levels
modulate neuronal function. Extended glucose infusion increases mean signal
power and induces increased signal variation in neuronal fluctuations. Future
studies are needed to further understand the mechanisms behind this variance.
Introduction
Glucose is the critical energy source supporting
optimal brain function, and its metabolism is tightly regulated to ensure neuro-physiological
homeostasis1. Resting-state fMRI (rsfMRI), which is sensitive to the
Blood Oxygen Level Dependent (BOLD) contrast, can be applied to probe brain
function. Here, variations in venous deoxyhemoglobin give rise to signal
changes that are accepted as surrogate indictors of neuronal activity. However,
the BOLD contrast is derived from various factors including changes in blood
saturation, hemodynamics, and physiological noise from sources like heart rate,
respiration, and uncharacterized systemic contributions2,3.
While the importance of glucose for neuronal
functioning is clear, the effects of altering brain glucose levels on neuronal
function remain subject of investigation. Existing evidence indicates increased
neuronal firing rates and enhanced BOLD signal in cortical control areas with
elevated glucose levels 4,5. Yet, BOLD-fMRI studies have not
explored changes in neuronal response following prolonged glucose infusion. In
this context, we aim to assess the modulation of neuronal activity by prolonged
glucose infusion after an overnight fast. Considering that spontaneous neuronal
fluctuations are generally thought to occur within the 0-0.15 Hz range, our hypothesis is that that glucose-induced
alterations in brain metabolism will lead to changes in signal amplitude within
this range.Methods
Our fMRI measurements were secondary outcome measures
in a 13C magnetic resonance spectroscopy (MRS) study where 9 healthy adult
males (age: 18-40 years) completed an overnight fast and underwent examination
using 7T MR system (Philips, Best, NL). Participants received intravenous
catheters for glucose infusion and blood sampling, and were positioned in the
MR system where data were acquired before and after a 2-hour glucose infusion. We
used a homebuilt head-coil with 8 transmit-receive (TxRx) 1H dipole antennas
and a 32-channel 1H receive array (Nova Medical, Wilmington, USA)6.
Pre- and post-infusion (i.e. directly after stopping
glucose infusion) resting-state T2*-weighted multi-slice gradient echo data
(rsfMRI) were acquired using the following parameters: TE/TR=27/1080ms, flip
angle=70, voxel size=1.5mm3, SENSE 2.5 (RL), 20 slices 120 dynamic
scans and scan duration of ~5minutes.
Post-processing
Optimization of shim settings for 13C measurements
necessitated a non-standard 5-class segmentation (FSL: FAST)7 be
performed directly using the fMRI data. GM partial volume maps were binarized
including only voxels with >50% GM content.
Each subject underwent spectral Fourier analysis using
functions from the Matlab-based seeVR toolbox8. Our analysis
primarily focused on a manually delineated 30mm ROI in the cortical GM of the
frontal lobe, optimized for minimal artifacts (Figure 1).
Log-transformed amplitude spectra from pre- and
post-infusion data were averaged across the 9 subjects, and pairwise
statistical comparisons were conducted using a Student's t-test. We applied a
20-volume sliding window (approximately 0.15 Hz) to investigate significant
differences within different frequency ranges, as various frequencies are
associated with independent physiological processes. Additionally, we evaluated
various pre-processing methods for the mean GM signal and the frontal-lobe ROI,
including de-meaning and signal normalization (for the frontal-lobe ROI)
between 0 and 1 to address baseline offsets.Results
Plasma glucose levels ranged from 3.5-4.5 mmol/L prior
to the infusion and rose to 6.5-9.0 mmol/L during the infusion. Figure-1
illustrates the frontal GM segmentation in a single subject. A significant difference
(p<0.05) in the 0-0.15 Hz range was observed between pre and post-glucose
infusion in all our analysis approaches. Figure 2 displays results from the frontal
lobe segmentation before and after spectral normalization. We observed a
notably higher mean signal amplitude post-glucose infusion the 0-0.15 Hz band that
did not extend to higher frequencies. Additionally, increased amplitude
variability was observed in the low-frequency range (Figure-2).
Nevertheless,
higher frequencies showed significant differences that were likely driven by variability
associated with respiration and possible aliasing of cardiac signals
(Figure-3). Discussion and conclusion
We found a significant increase in mean signal
amplitude within the 0-0.15 Hz range, along with a higher standard deviation,
indicating stronger yet more variable neuronal (or systemic low-frequency
oscillations sLFO) fluctuations. Distinguishing neuronal from sLFO remains
challenging due to their overlap, but previous observations suggest that
changes in blood glucose levels likely drive the measured responses5.
Our findings have the potential to improve our
understanding of brain function following fasting and diseases like diabetes
and their impact on aspects such as intake, thermogenesis, and the
neuroendocrine system.
However, the origin of the changes in BOLD signal
during prolonged glucose infusion are not well-understood. It's uncertain
whether this elevated signal normalizes or if high glucose levels lead to a
prolonged increase. Additional studies are needed to explore this further,
including continuous rs-fMRI during prolonged infusion and an extended
post-infusion period.Acknowledgements
No acknowledgement found.References
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