Marianne Cleve1, Alexander Gussew1, Gerd Wagner2, and Jürgen R. Reichenbach1
1Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany, 2Psychiatric Brain & Body Research Group Jena, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
Synopsis
Possible associations between BOLD
and left insular GABA+/tCr and Glx/tCr levels were investigated by conducting whole
brain fMRI measurements and 1H MEGA-PRESS MRS at 3 T in healthy
subjects prior to and during acute pain stimulation. A significant negative
correlation between insular resting state GABA+/tCr levels and BOLD response was
obtained in the supplementary motor area with transition to the mid-cingulate
cortex. Furthermore, insular ΔGlx revealed a significant positive association
with BOLD signal in the left anterior and right posterior insula. These
findings suggest interregional interrelations between metabolite levels and stimulus induced BOLD
response in the pain processing network.
Purpose
Combined acquisition of 1H
MR brain spectra and fMRI data allows to directly investigate associations
between local metabolite resting state levels and stimulus induced BOLD signal
changes and is focus of recent research to explore the neurochemical regulation
of brain activity1. In the current work, combined functional MRS
(fMRS) and fMRI measurements were conducted in healthy subjects to investigate
associations between acute pain induced BOLD changes in the whole brain and the
resting state GABA+/tCr and Glx/tCr levels as well as the stimulus induced changes
ΔGABA+ and ΔGlx measured in the left insular cortex.Materials and Methods
MR data were acquired on a 3 T
whole-body MR scanner (Magnetom PRISMA fit, Siemens, Erlangen, Germany) of 25
healthy male volunteers (24.9 ± 3.0 y., right-handed) with a
64-channel phased array head matrix coil. T1-weighted 3D anatomical
reference data (MP-RAGE, FOV 256 x 256 mm2) were
collected for positioning of the MRS voxel in left insular cortex (Fig. 2).
MRS data were acquired (1H MEGA-PRESS, TR/TE = 1800/68 ms,
editing at 7.5 / 1.9 ppm, water suppression, 384 transients)
before (REF) and during stimulation (PAIN). In addition, gradient-echo EPI fMRI
measurements were conducted during PAIN (TR/TE = 1600/30 ms, in-plane
resolution 2.1 mm, 3.2 mm thickness with a gap of 20 %,
180 volumes). Acquisition of fMRI and fMRS data was split into two blocks,
separated by a 17 min resting period allowing recovery from the acute heat
pain stimulation2 of the right hand (Ø 27 mm
CHEPS thermode, Medoc PATHWAY, Ramat Yishay, Israel). In each PAIN condition, 15
resting intervals were interleaved with 15 stimulus intervals of 16 s
duration each (see Fig. 1), consisting of alternating baseline (31 °C)
and stimulation periods including three individually adjusted heat pulses (Fig. 1).
MRS data were processed as described in3 and pooled to mean REF and
PAIN spectra, which were quantified with the AMARES tool4 (jMRUI v5.2) to
determine the metabolite GABA+/tCr, Glx/tCr ratios in REF as well as their pain
induced changes ΔGABA+ and ΔGlx. EPI data were analyzed using SPM12 (http://www.fil.ion.ucl.ac.uk/spm/, motion and
slice-time correction, spatial normalization to the MNI space, smoothing). A general
linear model was applied to calculate whole brain parametric maps of relative
BOLD signal changes (BOLD in %, stimulation vs.
baseline contrast divided by corresponding constant term of regression5). Interrelations of insular GABA+/tCr,
Glx/tCr, ΔGABA+ and ΔGlx and BOLD signal changes were investigated using a
multiple regression analysis (punc < 0.005, cluster
size according to the expected voxels per cluster). Finally, mean BOLD signal
changes from significant clusters were correlated with insular metabolite
levels by using the Spearman´s rank correlation.Results
A cluster located in the
supplementary motor area (SMA) with transition to the mid-cingulate cortex
(MCC) was identified showing a significant negative association between insular
resting state GABA+/tCr levels and acute pain evoked BOLD signal changes (Fig. 3).
Within this cluster, subject specific mean BOLD signal changes were negatively
correlated with corresponding resting
state GABA+/tCr levels (R = -0.56, p = 0.004). Although
neither the intra-individual GABA+/tCr nor the corresponding Glx/tCr levels showed
any distinct pain induced changes among the subject group, the individual ΔGlx values
revealed significant positive correlation with BOLD signal changes in the left
anterior and right posterior insular cortices, depicted in R = 0.68
(p < 0.001) and R = 0.67 (p < 0.001),
respectively (Fig. 4).Discussion and Conclusion
In our study, significant associations were identified between resting
state GABA+ levels as well as pain evoked Glx changes in insular cortex and
BOLD signal changes in brain regions that are known to be activated during pain
perception6. Since GABA is the main
inhibitory neurotransmitter with relatively low metabolic fraction, the detected
interrelation may reflect the adjustment of neuronal activity by inhibitory
neurochemical processes. Moreover, the
positive association between ΔGlx and BOLD response supports the notion that
increased functional energy demands are sustained by oxidative metabolism. Thus,
our findings might be evidence for interregional interactions between neurotransmitter
or also energy metabolism turnover and stimulus induced brain activations within
the pain processing network, being in line with previous studies demonstrating
interrelations of GABA in the resting motor network7 or for brain regions showing
fear related BOLD responses8. Therefore, the combination
of fMRS and fMRS is a powerful tool to improve knowledge about the complex
system of neurochemical mechanisms regulating brain activity in brain networks.
Acknowledgements
M.C. was supported by a graduate scholarship of the
Martin Luther University of Halle-Wittenberg. A.G. acknowledges funding
from the German Research Foundation (DFG, GU 1108/3-1).References
1. Duncan
NW, Wiebking C, Munoz-Torres Z, Northoff G. How to investigate
neuro-biochemical relationships on a regional level in humans? Methodological
considerations for combining functional with biochemical imaging. J Neurosci
Methods. 2013;221:183-188.
2. Cleve M,
Gussew A, Reichenbach JR. BOLD-fMRI signal changes during prolonged heat pain
stimulation. In: Proc. Intl. Soc. Mag. Reson. Med. 24 (2016). ;
2016:4-5.
3. Cleve M,
Gussew A, Reichenbach JR. In vivo detection of acute pain-induced changes of
GABA+ and Glx in the human brain by using functional 1H MEGA-PRESS MR
spectroscopy. Neuroimage. 2015;105:67-75.
4. Stefan D,
Cesare F Di, Andrasescu a, et al.
Quantitation of magnetic resonance spectroscopy signals: the jMRUI software
package. Meas Sci Technol. 2009;20(10):104035.
5. Bednarík P,
Tkác I, Giove F, et al. Neurochemical and BOLD responses during neuronal
activation measured in the human visual cortex at 7 Tesla. J Cereb Blood
Flow Metab. 2015;35(4):601-610.
6. Apkarian AV,
Bushnell MC, Treede R-D, Zubieta J-K. Human brain mechanisms of pain perception
and regulation in health and disease. Eur J Pain. 2005;9(4):463-463.
7. Stagg CJ,
Bachtiar V, Amadi U, et al. Local GABA concentration is related to
network-level resting functional connectivity. Elife. 2014;3(3):1-9.
8. Lipp I, Evans
CJ, Lewis C, Murphy K, Wise RG, Caseras X. The relationship between
fearfulness, GABA+, and fear-related BOLD responses in the insula. PLoS One.
2015;10(3):1-18.