Anna M van Opstal1, Anne Hafkemeijer1,2,3, Annette van den Berg-Huysmans1, Marco Hoeksma4, Cor Blonk4, Hanno Pijl5, Serge A.R.B Rombouts1,2,3, and Jeroen van der Grond1
1Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Department of Methodology and Statistics, Institute of Psychology, Leiden, Netherlands, 3Leiden Institute for Brain and Cognition (LIBC), Leiden, Netherlands, 4Unilever Research & Development, Vlaardingen, Netherlands, 5Department of Internal Medicine, Leiden University Medical Center, Leiden, Netherlands
Synopsis
Understanding
of functional brain responses yields insights into satiety signaling, nutrient
sensing, energy seeking and feeding behavior. The current aim was to determine normal
whole brain functional responses to the ingestion of glucose in healthy normal
weight subjects using BOLD signal, network connectivity and Eigen vector
centrality functional MRI analysis approaches. Our results show that ingestion
of glucose in a fasted state leads to deactivation and decreased connectivity,
which can be associated with satiation and reward effects in the brain and a
decrease in energy seeking. In contrast, drinking plain water leads to
activation and increased centrality and connectivity.
Introduction
The
regulatory role of the brain in directing glucose homeostasis, energy homeostasis,
and thus eating behavior, is increasingly being recognized.(1) Glucose is the primary source of energy for the
brain, and its metabolism is kept under tight regulation. However, energy
consumption is not only regulated by homeostatic processes, it also has hedonic
aspects in which the brain has an important role.(2-4) Although many areas in the brain have been found
to respond to food cues, very little data is available about functional brain
responses after actual consumption of energy. It is to be expected that various
brain areas that are involved in homeostasis, reward, motivation or inhibition
and decision making, show functional responses after glucose ingestion.
Understanding of these functional brain responses yields insights into satiety
signaling, nutrient sensing, energy seeking and feeding behavior. Moreover, it
may aid in the development of neurophysiological markers for (dys-)regulation
of these systems in obesity and diabetes type 2. The aim of this study was thus
to determine normal whole brain functional responses to the ingestion of
glucose in healthy normal weight subjects using several functional MRI analysis
approaches. Methods
Twenty-five
healthy, normal weight, adult males underwent functional MRI on two separate visits.
In a single-blind randomized study setup, participants received either a glucose
solution (50gr/300ml of water) or plain water (300ml) at each of two visits after
an overnight fast. At each visit resting state functional MRI was performed 10
minutes before and 16 minutes after ingestion of the study interventions. We
studied changes in Blood Oxygen Level Dependent (BOLD) signal,(5) changes in voxel based connectivity by Eigenvector
Centrality Mapping (ECM),(6) both using a voxel-wise comparison approach, and
changes in functional network connectivity (7) by comparing average Z-scores per functional
network.Results
Ingestion
of plain water did not lead to BOLD changes. In contrast, ingestion of the glucose
solution led to decreases in BOLD signal in clusters containing the insula,
thalamus, anterior cingulate gyrus, orbito-frontal cortex, amygdala,
hippocampus, and occipital cortex (figure 1). Ingestion of plain water resulted
in widespread increases in centrality across the brain, especially in the
insula and posterior cingulate cortex, indicating a higher level and quality of
voxel-wise connectivity in these areas. Ingestion of glucose solution resulted
in a small increase in centrality in the thalamus (figure 2). Analysis of
network connectivity showed that ingestion of plain water led to increases in
connectivity in the medial and lateral visual cortex network, glucose ingestion
led to decreases in connectivity in the sensory-motor and dorsal visual stream
networks (figure 3).Discussion
Our data
show that the ingestion of both water and glucose led to changes in BOLD
activity and functional connectivity on both a voxel-wise and network level
throughout the brain. Our results show that after an overnight fast, drinking
plain water leads to activation and increased centrality of several brain
areas, as well as concerted increased connectivity in brain networks that are
associated with energy and reward seeking and expectation. In contrast,
ingestion of glucose in a fasted state leads to deactivation and decreased
connectivity, which can be associated with satiation and reward effects in the
brain and a decrease in energy seeking. Interestingly, the brain areas and
networks that show functional responses to consumption of water and glucose in
our study have also been implied to function differently in obesity (8-15) and type 2 diabetes.(16;17) This suggest that maintaining the
functional responses found in our study could important for maintaining energy
and glucose homeostasis.Acknowledgements
The
collection of the datasets used in this study was funded by Unilever Research
and Development Vlaardingen B.V. The Netherlands.
M. Hoeksma and C.
Blonk are both employees of Unilever Research and Development
Vlaardingen B.V. The Netherlands. All other authors have no conflict of
interest to disclose.References
(1) Morton
GJ, Cummings DE, Baskin DG, Barsh GS, Schwartz MW. Central nervous system
control of food intake and body weight. Nature
2006;443:289-295.
(2) Avena
NM, Rada P, Hoebel BG. Evidence for sugar addiction: behavioral and
neurochemical effects of intermittent, excessive sugar intake. Neurosci Biobehav Rev 2008;32:20-39.
(3) Colantuoni
C, Rada P, McCarthy J et al. Evidence that intermittent, excessive sugar intake
causes endogenous opioid dependence. Obes
Res 2002;10:478-488.
(4) Rada
P, Avena NM, Hoebel BG. Daily bingeing on sugar repeatedly releases dopamine in
the accumbens shell. Neuroscience
2005;134:737-744.
(5) Rombouts
SA, Scheltens P, Kuijer JP, Barkhof F. Whole brain analysis of T2* weighted
baseline FMRI signal in dementia. Hum
Brain Mapp 2007;28:1313-1317.
(6) Wink
AM, de Munck JC, van der Werf YD, van den Heuvel OA, Barkhof F. Fast
eigenvector centrality mapping of voxel-wise connectivity in functional
magnetic resonance imaging: implementation, validation, and interpretation. Brain Connect 2012;2:265-274.
(7) Beckmann
CF, DeLuca M, Devlin JT, Smith SM. Investigations into resting-state
connectivity using independent component analysis. Philos Trans R Soc Lond B Biol Sci 2005;360:1001-1013.
(8) Garcia-Garcia
I, Jurado MA, Garolera M et al. Functional network centrality in obesity: A
resting-state and task fMRI study. Psychiatry Res 2015;233:331-338.
(9) Kullmann S, Heni M, Veit R et al. The obese brain: association of body mass index and insulin
sensitivity with resting state network functional connectivity. Hum Brain Mapp 2012;33:1052-1061.
(10) Lips MA, Wijngaarden MA, van der Grond J et al. Resting-state functional connectivity of
brain regions involved in cognitive control, motivation, and reward is enhanced
in obese females. Am J Clin Nutr
2014;100:524-531.
(11) Marques-Iturria
I, Scholtens LH, Garolera M et al. Affected connectivity organization of the
reward system structure in obesity. Neuroimage
2015;111:100-106.
(12) Stoeckel
LE, Weller RE, Cook EW, III, Twieg DB, Knowlton RC, Cox JE. Widespread
reward-system activation in obese women in response to pictures of high-calorie
foods. Neuroimage 2008;41:636-647.
(13) Wijngaarden
MA, Veer IM, Rombouts SA et al. Obesity is marked by distinct functional
connectivity in brain networks involved in food reward and salience. Behav Brain Res 2015;287:127-134.
(14) Garcia-Garcia
I, Jurado MA, Garolera M et al. Alterations of the salience network in obesity:
a resting-state fMRI study. Hum Brain Mapp 2013;34:2786-2797.
(15) Kullmann S, Pape AA, Heni M et al. Functional network connectivity underlying food processing:
disturbed salience and visual processing in overweight and obese adults. Cereb Cortex 2013;23:1247-1256.
(16) Cui
Y, Li SF, Gu H et al. Disrupted Brain Connectivity Patterns in Patients with
Type 2 Diabetes. AJNR Am J Neuroradiol
2016.
(17) Chen
Y, Liu Z, Zhang J et al. Selectively Disrupted Functional Connectivity Networks
in Type 2 Diabetes Mellitus. Front Aging
Neurosci 2015;7:233.