• Energy Research
• Open Access close
• Restricted close
• Open Source close
• Neuroinformatics close

AbstractObjective: The marked increase in the prevalence of obesity in the United States has recently been attributed to the increased fructose consumption. To determine if and how fructose might promote obesity in an animal model, we measured body composition, energy intake, energy expenditure, substrate oxidation, and several endocrine parameters related to energy homeostasis in mice consuming fructose.Research Methods and Procedures: We compared the effects of ad libitum access to fructose (15% solution in water), sucrose (10%, popular soft drink), and artificial sweetener (0% calories, popular diet soft drink) on adipogenesis and energy metabolism in mice.Results: Exposure to fructose water increased adiposity, whereas increased fat mass after consumption of soft drinks or diet soft drinks did not reach statistical significance (n = 9 each group). Total intake of energy was unaltered, because mice proportionally reduced their caloric intake from chow. There was a trend toward reduced energy expenditure and increased respiratory quotient, albeit not significant, in the fructose group. Furthermore, fructose produced a hepatic lipid accumulation with a characteristic pericentral pattern.Discussion: These data are compatible with the conclusion that a high intake of fructose selectively enhances adipogenesis, possibly through a shift of substrate use to lipogenesis.

Recent theories and data suggest that adapted behavior involves economic computations during which multiple trade-offs between reward value, accuracy requirement, energy expenditure, and elapsing time are solved so as to obtain rewards as soon as possible while spending the least possible amount of energy. However, the relative impact of movement energy and duration costs on perceptual decision-making and movement initiation is poorly understood. Here, we tested 31 healthy subjects on a perceptual decision-making task in which they executed reaching movements to report probabilistic choices. In distinct blocks of trials, the reaching duration (“Time” condition) and energy (“Effort” condition) costs were independently varied compared to a “Reference” block, while decision difficulty was maintained similar at the block level. Participants also performed a simple delayed-reaching (DR) task aimed at estimating movement initiation duration in each motor condition. Results in that DR task show that long duration movements extended reaction times (RTs) in most subjects, whereas energy-consuming movements led to mixed effects on RTs. In the decision task, about half of the subjects decreased their decision durations (DDs) in the Time condition, while the impact of energy on DDs were again mixed across subjects. Decision accuracy was overall similar across motor conditions. These results indicate that movement duration and, to a lesser extent, energy expenditure, idiosyncratically affect perceptual decision-making and action initiation. We propose that subjects who shortened their choices in the time-consuming condition of the decision task did so to limit a drop of reward rate.

This study is divided into two parts; each designed to answer a separate but related question: Which brain regions are activated in humans by the rewarding properties of ethanol administration? Is it possible to demonstrate a conditioned response to a stimulus paired with rising blood alcohol concentrations (BAC) in humans and can this response be observed in the brain using functional magnetic resonance images (fMRI) techniques? Part 1. In order to determine which brain regions are activated by the rewarding properties of ethanol administration, we propose to use Blood Oxygenation Level Dependent (BOLD) fMRI techniques to test the hypothesis that during the time of rising and peak BAC, mesolimbic, mesocortical, and nigrostriatal dopamine (DA) terminal areas of the brain will show significant increases in cerebral blood flow. Healthy, non-alcoholic subjects will be given intravenous (IV) ethanol or placebo infusions on separate days. The infusions will have three phases. On each day, during the first phase a saline infusion will be used to measure basal brain blood flow. The second phase will be an ethanol infusion delivered at rates calculated to produce a BAC of 0.08 plus or minus 0.005 g/dl at 10 minutes. The rate of the infusion for the next 10 minutes (third phase) will be calculated to maintain BAC at the target level of 0.08 plus or minus 0.005 g/dl for the duration of the infusion. On the placebo day, subjects will receive a saline infusion at the same set of rates for phases two and three as used during their ethanol infusion. Continuous multi-slice fMRI data will be collected during each infusion. Part 2. In order to investigate conditioned response to ethanol, three groups of healthy, non-alcoholic subjects will be given a series of IV infusions on separate days. The experimental group will receive ethanol infusion paired with a conditioned stimulus (CS) which will be presented while the BAC is rising. One control group (I) of healthy, non-alcoholic subjects will also be given a series of intravenous ethanol infusions on separate days, but these infusions will not be paired with a CS. The other control group (II) will be given only saline infusions during the CS presentation. After three training sessions, all three groups will undergo an fMRI scan during which the CS will be paired with saline infusion. This will allow the response to the CS alone to be observed. After 10 minutes of CS presentation, the ethanol infusion will begin and continue for another 15 minutes. Conditioned response (CR) will be demonstrated if the experimental group shows greater increase in BOLD signal than the control groups in motivation areas such as mesolimbic, mesocortical, and nigrostriatal dopamine (DA) terminal areas of the brain in response to the CS while they receive the saline infusion. Control group II will also undergo an fMRI scan and will be given saline infusion followed by ethanol infusion during their last 15 minutes in the scanner to control for the non-specific effects of repeated infusions & scans on BOLD response to ethanol. If we are able to produce a CR in brain regions associated with motivation, it may be possible to use this CR as an experimental model for human alcohol craving. This study is designed to answer four questions: 1. Which brain regions are activated in humans by the rewarding properties of ethanol administration? 2. How does ethanol administration affect the brain response to visual cues known to evoke positive or negative emotion? 3. Do individuals who regularly drink in ethanol in large amounts (heavy drinkers) differ from individuals who do not regularly drink large amounts of ethanol (social drinkers) in how ethanol affects brain function? 4. Does ethanol administration affect the brain regions activated in a risk-taking task in social drinkers and heavy drinkers? In order to determine which brain regions are activated by the rewarding properties of ethanol administration, we propose to use Blood Oxygenation Level Dependent (BOLD) fMRI techniques to test the hypothesis that during the time of rising and peak BAC, mesolimbic, mesocortical, and nigrostriatal dopamine (DA) terminal areas of the brain will show significant increases in cerebral blood flow. Healthy, subjects who are not seeking treatment for an alcohol use disorder will be given intravenous (IV) ethanol or placebo infusions on separate days. An ethanol infusion will delivered at rates calculated to produce a BAC of 0.08 plus or minus. An ethanol infusion will delivered at rates calculated to produce a BAC of 0.08 plus or minus 0.005 g/dl at 15 minutes. Then the rate of the infusion will be adjusted so that for the next 30 minutes (second phase) BAC will be maintained at the target level of 0.08 0.005 g/dl. On the placebo day, subjects will receive a saline infusion at the same set of rates as used during their ethanol infusion. Continuous multi-slice fMRI data will be collected during each infusion. During each infusion, BOLD response to visual stimuli designed to evoke emotion will also be examined. In addition, we will compare the BOLD response of healthy social drinkers to that of healthy heavy drinkers. We will also compare the BOLD response elicited by risk-taking during the ethanol infusion to that during the placebo infusion in both social and heavy drinkers.

The brain is a non-linear dynamical system with a self-restoration process, which protects itself from external damage but is often a bottleneck for clinical treatment. To treat the brain to induce the desired functionality, formulation of a self-restoration process is necessary for optimal brain control. This study proposes a computational model for the brain's self-restoration process following the free-energy and degeneracy principles. Based on this model, a computational framework for brain control is established. We posited that the pre-treatment brain circuit has long been configured in response to the environmental (the other neural populations') demands on the circuit. Since the demands persist even after treatment, the treated circuit's response to the demand may gradually approximate the pre-treatment functionality. In this framework, an energy landscape of regional activities, estimated from resting-state endogenous activities by a pairwise maximum entropy model, is used to represent the pre-treatment functionality. The approximation of the pre-treatment functionality occurs via reconfiguration of interactions among neural populations within the treated circuit. To establish the current framework's construct validity, we conducted various simulations. The simulations suggested that brain control should include the self-restoration process, without which the treatment was not optimal. We also presented simulations for optimizing repetitive treatments and optimal timing of the treatment. These results suggest a plausibility of the current framework in controlling the non-linear dynamical brain with a self-restoration process.

AbstractA pulse sequence was implemented to observe the magnetization transfer (MT) effect on metabolites, water, and macromolecules in human frontal lobes in vivo at 1.5 Tesla. Signals were compared following the application of three hard pulses of 0.745 μT amplitude, applied at frequency offsets of either 2500 Hz or 30 kHz, preceding a conventional point‐resolved spectroscopy (PRESS)‐localized acquisition with an echo time (TE) of 30 ms and repetition time (TR) of 3 s. This gave an MT effect on water in vivo of 46%, while direct saturation by the MT pulses at 2.5 kHz offset was confirmed to be under 4% for all metabolites. We observed significant MT saturation in vivo for N‐acetylated compounds, choline (Cho), myo‐inositol, and lactate (Lac); a trend of an effect on glutamate + glutamine (Glx); and the typically observed effect on creatine (Cr). No significant MT effect was seen on the macromolecule signal, which was observed using metabolite nulling. Magn Reson Med, 2005. © 2005 Wiley‐Liss, Inc.

Background:  A low level of response (i.e., a low LR) to alcohol is a genetically influenced phenotype that predicts later alcoholism. While the low LR reflects, at least in part, a low brain response to alcohol, the physiological underpinnings of the low LR have only recently been addressed. Methods:  Forty‐nine drinking but not yet alcoholic matched pairs of 18‐ to 25‐year‐old subjects (N = 98; 53% women) with low and high LRs as established in separate alcohol challenges were evaluated in 2 event‐related functional magnetic resonance imaging (fMRI) sessions (placebo and approximately 0.7 ml/kg of alcohol) while performing a validated stop signal task. The high and low LR groups had identical blood alcohol levels during the alcohol session. Results:  Significant high versus low LR group and LR group × condition effects were observed in blood oxygen level–dependent (BOLD) signal during error and inhibitory processing, despite similar LR group performance on the task. In most clusters with significant (corrected p < 0.05, clusters > 1,344 μl) LR group × alcohol/placebo condition interactions, the low LR group demonstrated relatively less, whereas the high LR group demonstrated more, error and inhibition‐related activation after alcohol compared with placebo. Conclusions:  This is one of the first fMRI studies to demonstrate significant differences between healthy groups with different risks of a future life‐threatening disorder. The results may suggest a brain mechanism that contributes to how a low LR might enhance the risk of future heavy drinking and alcohol dependence.

C57BL/6J (C57) and DBA/2J (DBA) mice respond differently to drugs that affect dopamine systems, including alcohol. The current study compared effects of D1 and D2 receptor agonists and antagonists, and the interaction between D1/D2 antagonists and alcohol, on intracranial self-stimulation in male C57 and DBA mice to determine the role of dopamine receptors in the effects of alcohol on brain stimulation reward (BSR). In the initial strain comparison, dose effects on BSR thresholds and maximum operant response rates were determined for the D1 receptor agonist SKF-82958 (±-6-chloro-7,8-dihydroxy-3-allyl-1-phenyl-2,3,4,5-tetrahydro-1H-3-benzazepine; 0.1–0.56 mg/kg) and antagonist SCH 23390 (+-7-chloro-8-hydroxy-3-methyl-1-phenyl-2,3,4,5-tetrahydro-1H-3-benzazepinehydrochloride; 0.003–0.056 mg/kg), and the D2 receptor agonist quinpirole (0.1–3.0 mg/kg) and antagonist raclopride (0.01–0.56 mg/kg). For the alcohol interaction, SCH 23390 (0.003 mg/kg) or raclopride (0.03 mg/kg) was given before alcohol (0.6–2.4 g/kg p.o.). D1 antagonism dose-dependently elevated and SKF-82958 dose-dependently lowered BSR threshold in both strains; DBA mice were more sensitive to SKF-82958 effects. D2 antagonism dose-dependently elevated BSR threshold only in C57 mice. Low doses of quinpirole elevated BSR threshold equally in both strains, whereas higher doses of quinpirole lowered BSR threshold only in C57 mice. SCH 23390, but not raclopride, prevented lowering of BSR threshold by alcohol in DBA mice. Conversely, raclopride, but not SCH 23390, prevented alcohol potentiation of BSR in C57 mice. These results extend C57 and DBA strain differences to D1/D2 sensitivity of BSR, and suggest differential involvement of D1 and D2 receptors in the acute rewarding effects of alcohol in these two mouse strains.