The effects of disease activity, inflammation, depression and cognitive fatigue on resting state fMRI in systemic lupus erythematosus.

OBJECTIVES: Cognitive dysfunction (CD) and depression are interlinked comorbidities of SLE. They may be the result of altered brain mechanisms. This study aimed to examine SLE effects on functional connectivity (FC) within the default mode network (DMN) using resting state fMRI, and how depression may impact this. METHODS: Demographic, clinical and psychiatric data were collected from 19 SLE-active, 23 SLE-stable and 30 healthy controls (HC) participants. A T2*-weighted rsfMR scan was acquired and analysed using independent component analysis. Group z-scores for nodes associated with the DMN were tested. Significant nodes were entered into a factor analysis. The combined factor was used in correlations with factors of interest. Significant variables were used in a mediation analysis. RESULTS: 14 DMN nodes were defined using independent component analysis. In five nodes, the SLE groups had significantly reduced FC compared with the HC group (P < 0.01). Factor analysis generated one factor that only depression score correlated with for both the HC group (rs = -0.510) and SLE groups combined (rs = -0.390). Mediation analysis revealed depression score accounted for 22% of the altered FC in the DMN. Disease state accounted for the remaining 78%. CONCLUSIONS: Altered FC was evident in DMN nodes for SLE groups irrespective of disease activity. Depression accounts for some of this effect but SLE directly accounted for more. Further studies are needed to assess if these changes may be a precursor to CD in SLE. If so, rs-fMRI could be an early marker for CD in SLE and help in future CD in SLE treatment trials.

The effects of disease activity on neuronal and behavioural cognitive processes in systemic lupus erythematosus.

OBJECTIVES: Factors common across many chronic diseases, such as fatigue and depression affect cognitive dysfunction (CD) but the effect of SLE disease activity on CD remains unclear. We aimed to explore the effects of disease activity in SLE on cognitive function whilst taking into consideration other potential mediators. METHODS: Two groups of SLE patients were recruited; stable/low disease activity (SLE-S, n = 36) and active disease (SLE-F, n = 26). The SLE-F group were studied during a flare; with a second visit when disease activity had reduced. In addition to demographic, clinical and psychiatric data, CD was measured using a computerised battery of tests (CANTAB®). Functional MRI (fMRI) was used to examine neuronal responses to working memory and emotional processing tasks. RESULTS: No differences between the groups/visits were found using the CANTAB® battery. The fMRI results showed that the SLE-F group had a less attenuated response in the medial prefrontal cortex (a default mode network-DMN region) compared with the SLE-S group during the working memory task (P =0.012). Exploratory correlations within the SLE-F group showed associations between neuronal responses and depression, cognitive fatigue, disease activity measures and IL-6. CONCLUSION: Functional brain processes but not cognitive behavioural measures were affected by disease activity. Flaring SLE patients were less able to suppress DMN regions during a working memory task. This could reflect emotional interference during cognitive tasks and may cause cognitive fatigue. A number of factors are associated with brain function in flaring patients, which has potential implications for holistic treatments.

Stevia Beverage Consumption prior to Lunch Reduces Appetite and Total Energy Intake without Affecting Glycemia or Attentional Bias to Food Cues: A Double-Blind Randomized Controlled Trial in Healthy Adults.

BACKGROUND: Stevia is a zero-calorie alternative to caloric sugars. Substituting caloric sweeteners with noncaloric sweeteners reduces available energy, but their effects on appetite, subsequent food intake, and neurocognitive responses are still unclear. OBJECTIVE: The aim was to examine whether sweetness with or without calories influences food intake, appetite, blood glucose concentrations, and attentional bias (AB) to food cues. METHODS: This was a randomized, controlled, double-blind crossover study. Healthy participants [n = 20; aged 27 ± 5 y,  55% female; BMI (kg/m2): 21.8 ± 1.5] completed 5 visits, consuming 5 study beverages: 330 mL water (control, no sweet taste, no calories) and either 330 mL water containing 40 g glucose or sucrose (sweet taste; calories, both 160 kcal), maltodextrin (no sweet taste; calories, 160 kcal), or 240 ppm stevia (sweet taste, no calories). Glucose and stevia beverages were matched for sweetness. Subjective appetite ratings and blood glucose were measured at baseline and at 15, 30, and 60 min postprandially. At 15 min participants performed a visual-dot probe task to assess AB to food cues; at 30 min, participants were offered an ad libitum lunch; food intake was measured. RESULTS: Subjective appetite ratings showed that preload sweetness and calorie content both affected appetite. The total AUC for glycemia was significantly higher after the caloric beverages (mean ± SD: maltodextrin, 441 ± 57.6;  glucose, 462 ± 68.1;  sucrose, 425 ± 53.6 mmol × min × L-1 ) compared with both stevia (320 ± 34.2 mmol × min × L-1) and water (304 ± 32.0 mmol × min × L-1) (all P < 0.001). Total energy intake (beverage and meal) was significantly lower after the stevia beverage (727 ± 239 kcal) compared with water (832 ± 198 kcal,  P = 0.013), with no significant difference between the water and caloric beverages (P = 1.00 for water vs. maltodextrin, glucose, and sucrose). However, food-related AB did not differ across conditions (P = 0.140). CONCLUSIONS: This study found a beneficial and specific effect of a stevia beverage consumed prior to a meal on appetite and energy intake in healthy adults. This trial is registered at clinicaltrials.gov as NCT03711084.

Evidence That Implementation Intentions Enhance Cognitive Training and Reduce Alcohol Consumption in Heavy Drinkers: A Randomized Trial.

BACKGROUND: Current training tasks to improve the cognitive deficits thought to be involved in sustained heavy drinking need further investigation to optimize their effectiveness. PURPOSE: The present study investigated whether combining implementation intention provision with a cognitive training task had a measurable effect on alcohol consumption in heavy drinkers and explored the neural mechanisms underpinning any reductions in subsequent alcohol consumption. METHODS: Thirty-two heavy-drinking participants completed approach-avoidance and visual probe training tasks preintervention and postintervention during functional Magnetic Resonance Imaging. Participants in the intervention group were randomized to form implementation intentions and participants in the control condition read a goal intention. Alcohol consumption was recorded preintervention and at 1 month follow-up. RESULTS: Compared to the control group, implementation intention provision significantly improved performance on alcohol-avoidance tasks postintervention, t(30) = -2.315, p = .028, d = .85, and reduced alcohol consumption by 6.9 units/week (1 unit = 10 mL or 8 g ethanol), F(1,30) = 4.263, p = .048 (d = .74), at follow-up. However, the analysis of functional Magnetic Resonance Imaging data revealed no significant differences between groups. CONCLUSIONS: These findings show for the first time that implementation intentions targeting cognitive processes can significantly reduce alcohol consumption among heavy drinkers. However, there was no evidence that the effects were mediated by changes in neural activity. Further work is required to explore the neural mechanisms underpinning the operation of implementation intentions. TRIAL REGISTRATION: This trial was registered (ISRCTN:35503634) and is available at https://www.isrctn.com/ISRCTN35503634.

Altered cognitive function in systemic lupus erythematosus and associations with inflammation and functional and structural brain changes.

OBJECTIVES: Cognitive dysfunction (CD) is common in systemic lupus erythematosus (SLE) but the cause remains unclear and treatment options are limited. We aimed to compare cognitive function in SLE and healthy controls (HCs) using both behavioural and neuroimaging techniques. METHODS: Patients with SLE with stable disease and HCs were recruited. Clinical and psychological data were collected along with a blood sample for relevant biomarkers. Neurocognitive function was assessed using tests from the Cambridge Neuropsychological Test Automated Battery (CANTAB) and functional magnetic resonance imaging (fMRI) was used to examine brain responses to working memory (WM) and emotional processing (facial emotional recognition task, FERT) tasks. RESULTS: Compared with HCs (n=30), patients with SLE (n=36) scored higher on measures of depression, fatigue and had higher hsCRP (p=0.013), IL-6 (p=0.003) and B lymphocyte stimulator (p<0.001). Patients with SLE had poorer performance on a task of sustained attention (p=0.002) and had altered brain responses, particularly in default mode network (DMN) regions and the caudate, during the WM task. Higher organ damage and higher VCAM-1 were associated with less attenuation of the DMN (p=0.005 and p=0.01, respectively) and lower BOLD signal in the caudate areas (p=0.005 and p=0.001, respectively). Increased IL-6 was also associated with lower BOLD signal in caudate areas (p=0.032). CONCLUSIONS: Sustained attention was impaired in patients with SLE. Poor attenuation of the DMN may contribute to cognitive impairments in SLE and our data suggest that in addition to mood and fatigue inflammatory mechanisms and organ damage impact cognitive functioning in SLE. The multifaceted nature of CD in SLE means any therapeutic interventions should be individually tailored.

Increased activation of the pregenual anterior cingulate cortex to citalopram challenge in migraine: an fMRI study.

BACKGROUND: The anterior cingulate cortex (ACC) is a key structure of the pain processing network. Several structural and functional alterations of this brain area have been found in migraine. In addition, altered serotonergic neurotransmission has been repeatedly implicated in the pathophysiology of migraine, although the exact mechanism is not known. Thus, our aim was to investigate the relationship between acute increase of brain serotonin (5-HT) level and the activation changes of the ACC using pharmacological challenge MRI (phMRI) in migraine patients and healthy controls. METHODS: Twenty-seven pain-free healthy controls and six migraine without aura patients participated in the study. All participant attended to two phMRI sessions during which intravenous citalopram, a selective serotonin reuptake inhibitor (SSRI), or placebo (normal saline) was administered. We used region of interest analysis of ACC to compere the citalopram evoked activation changes of this area between patients and healthy participants. RESULTS: Significant difference in ACC activation was found between control and patient groups in the right pregenual ACC (pgACC) during and after citalopram infusion compared to placebo. The extracted time-series showed that pgACC activation increased in migraine patients compared to controls, especially in the first 8-10 min of citalopram infusion. CONCLUSIONS: Our results demonstrate that a small increase in 5-HT levels can lead to increased phMRI signal in the pregenual part of the ACC that is involved in processing emotional aspects of pain. This increased sensitivity of the pgACC to increased 5-HT in migraine may contribute to recurring headache attacks and increased stress-sensitivity in migraine.

Attentional bias to food varies as a function of metabolic state independent of weight status.

Eating behaviour requires that internal metabolic changes are recognized by the central nervous system which regulates brain responses to food cues. This function may be altered in obesity. The aim of this study was to examine potential differences in neurocognitive responses to visual food cues as a function of metabolic state and weight status. A crossover study with two participant groups was conducted, one group with normal-weight (n = 20) and one group with overweight/obesity (n = 22), who completed a novel battery of neurocognitive tests assessing food-cue elicited behavior in both fasted and fed states. The test battery included a visual-dot probe task (VPT), a stimulus-response compatibility task (SRCT) and an implicit association task (IAT). Results from the VPT showed a significant main effect of metabolic state on attentional bias (F(1,40) = 9.90, p = .003, η2p = .198), with participants in the fasted state showing a significantly greater attentional bias for food stimuli than in the fed state. No significant main effect of metabolic state on approach food bias, assessed via the SRCT, or implicit attitudes to food cues, assessed via the IAT, was found and overall, no difference in neurocognitive processing of food cues was demonstrated between participant groups. In the fed state, attentional bias to food cues decreases in both normal-weight controls and participants with overweight/obesity, indicating that changes in current metabolic state can be reflected in attentional processing of visual food cues independently of weight status. Neurocognitive tasks which can effectively and sensitively identify differences in food cue perception according to changes in metabolic status will be useful tools in exploring more complicated interactions between homeostatic and hedonic drives of food intake.

Time-dependent neuronal changes associated with craving in opioid dependence: an fMRI study.

Relapse after initially successful treatment is a significant problem facing the treatment of opioid dependence. Evidence suggests craving elicited by re-exposure to drug cues may precipitate relapse. Attempts to identify neural biomarkers of cue-elicited craving have yielded inconsistent findings. We aimed to apply a novel continuous functional magnetic resonance imaging technique to follow the minute-to-minute evolution of brain responses, which correlate with the waxing and waning of craving. Newly detoxified male opioid-dependent patients and healthy control participants attended two separate, counterbalanced, functional magnetic resonance imaging scanning sessions during which they viewed a 10-minute video (drug cue or neutral cue) followed by 5 minutes of fixation. Participants rated the intensity of their craving throughout each session. We hypothesized that subcortical/ventral prefrontal cortex (PFC) regions and dorsal PFC regions would show different associations with craving reflecting their putative roles in appetitive processing versus cognitive control. Compared with controls, drug cue (minus neutral cue) video recruited the left amygdala and was temporally correlated with craving. In contrast, dorsal anterior cingulate blood-oxygen-level-dependent signal time course was higher than controls only during a period after cue exposure when craving levels were declining. Against expectations, neither the ventral striatum nor ventral PFC was significantly recruited by drug cue exposure. Findings suggest that the amygdala has a central role in craving, whereas the dorsal anterior cingulate may control craving in treatment-seeking patients. Time course analysis yielded new insights into the neural substrates of craving that could objectively validate development of psychological and pharmacological approaches to sustained abstinence.

Functional magnetic resonance imaging in dermatology: The skin, the brain and the invisible.

The skin and brain have a close bi-directional anatomical and functional connection. Historically, the skin-brain axis and the brain-skin axis have been well described. However, brain function in this context has only recently been demystified with the introduction of functional neuroimaging in dermatology. Functional neuroimaging, especially functional magnetic resonance imaging (fMRI), allows indirect visualisation of brain function. This review looks back to the beginnings of functional neuroimaging in dermatology, summarises the currently available dermatology-related fMRI studies and discusses the potential future role of fMRI as a stratifying tool in clinical dermatology and in the development of novel therapies. According to the main body of research made in this field, the focus is placed on experimental itch studies, which described the brain structures involved in itch processing, the regulation of the scratch response, contagious itch and itch suppression.

Multivariate and repeated measures (MRM): A new toolbox for dependent and multimodal group-level neuroimaging data.

Repeated measurements and multimodal data are common in neuroimaging research. Despite this, conventional approaches to group level analysis ignore these repeated measurements in favour of multiple between-subject models using contrasts of interest. This approach has a number of drawbacks as certain designs and comparisons of interest are either not possible or complex to implement. Unfortunately, even when attempting to analyse group level data within a repeated-measures framework, the methods implemented in popular software packages make potentially unrealistic assumptions about the covariance structure across the brain. In this paper, we describe how this issue can be addressed in a simple and efficient manner using the multivariate form of the familiar general linear model (GLM), as implemented in a new MATLAB toolbox. This multivariate framework is discussed, paying particular attention to methods of inference by permutation. Comparisons with existing approaches and software packages for dependent group-level neuroimaging data are made. We also demonstrate how this method is easily adapted for dependency at the group level when multiple modalities of imaging are collected from the same individuals. Follow-up of these multimodal models using linear discriminant functions (LDA) is also discussed, with applications to future studies wishing to integrate multiple scanning techniques into investigating populations of interest.

Effects of acute tryptophan depletion on central processing of CT-targeted and discriminatory touch in humans.

C-tactile afferents (CTs) are slowly conducting nerve fibres, present only in hairy skin. They are optimally activated by slow, gentle stroking touch, such as those experienced during a caress. CT stimulation activates affective processing brain regions, alluding to their role in affective touch perception. We tested a theory that CT-activating touch engages the pro-social functions of serotonin, by determining whether reducing serotonin, through acute tryptophan depletion, diminishes subjective pleasantness and affective brain responses to gentle touch. A tryptophan depleting amino acid drink was administered to 16 healthy females, with a further 14 receiving a control drink. After 4 h, participants underwent an fMRI scan, during which time CT-innervated forearm skin and CT non-innervated finger skin was stroked with three brushes of differing texture, at CT-optimal force and velocity. Pleasantness ratings were obtained post scanning. The control group showed a greater response in ipsilateral orbitofrontal cortex to CT-activating forearm touch compared to touch to the finger where CTs are absent. This differential response was not present in the tryptophan depleted group. This interaction effect was significant. In addition, control participants showed a differential primary somatosensory cortex response to brush texture applied to the finger, a purely discriminatory touch response, which was not observed in the tryptophan depleted group. This interaction effect was also significant. Pleasantness ratings were similar across treatment groups. These results implicate serotonin in the differentiation between CT-activating and purely discriminatory touch responses. Such effects could contribute to some of the social abnormalities seen in psychiatric disorders associated with abnormal serotonin function.

Mapping glucose-mediated gut-to-brain signalling pathways in humans.

OBJECTIVES: Previous fMRI studies have demonstrated that glucose decreases the hypothalamic BOLD response in humans. However, the mechanisms underlying the CNS response to glucose have not been defined. We recently demonstrated that the slowing of gastric emptying by glucose is dependent on activation of the gut peptide cholecystokinin (CCK1) receptor. Using physiological functional magnetic resonance imaging this study aimed to determine the whole brain response to glucose, and whether CCK plays a central role. EXPERIMENTAL DESIGN: Changes in blood oxygenation level-dependent (BOLD) signal were monitored using fMRI in 12 healthy subjects following intragastric infusion (250ml) of: 1M glucose+predosing with dexloxiglumide (CCK1 receptor antagonist), 1M glucose+placebo, or 0.9% saline (control)+placebo, in a single-blind, randomised fashion. Gallbladder volume, blood glucose, insulin, and GLP-1 and CCK concentrations were determined. Hunger, fullness and nausea scores were also recorded. PRINCIPAL OBSERVATIONS: Intragastric glucose elevated plasma glucose, insulin, and GLP-1, and reduced gall bladder volume (an in vivo assay for CCK secretion). Glucose decreased BOLD signal, relative to saline, in the brainstem and hypothalamus as well as the cerebellum, right occipital cortex, putamen and thalamus. The timing of the BOLD signal decrease was negatively correlated with the rise in blood glucose and insulin levels. The glucose+dex arm highlighted a CCK1-receptor dependent increase in BOLD signal only in the motor cortex. CONCLUSIONS: Glucose induces site-specific differences in BOLD response in the human brain; the brainstem and hypothalamus show a CCK1 receptor-independent reduction which is likely to be mediated by a circulatory effect of glucose and insulin, whereas the motor cortex shows an early dexloxiglumide-reversible increase in signal, suggesting a CCK1 receptor-dependent neural pathway.

Functional neuroimaging demonstrates that ghrelin inhibits the central nervous system response to ingested lipid.

OBJECTIVE: Gut-derived humoural factors activate central nervous system (CNS) mechanisms controlling energy intake and expenditure, and autonomic outflow. Ghrelin is secreted from the stomach and stimulates food intake and gastric emptying, but the relevant mechanisms are poorly understood. Nutrient-activated CNS systems can be studied in humans by physiological/pharmacological MRI (phMRI). This method has been used to examine the CNS responses to exogenous ghrelin. DESIGN: phMRI was used to study the CNS responses in healthy people to a ghrelin bolus (0.3 nmol/kg, intravenous) in the post-prandial state, and an intravenous infusion of ghrelin (1.25 pmol/kg/min) alone and after intragastric lipid (dodecanoate, C12) in people who have fasted. RESULTS: A ghrelin bolus decreased the blood oxygenation level dependent (BOLD) signal detected by phMRI in feeding-activated areas of the CNS in the post-prandial state. Infusion of ghrelin reversed the effect of C12 in delaying gastric emptying but had no effect on hunger. Intragastric C12 caused strong bilateral activation of a matrix of CNS areas, including the brain stem, hypothalamus and limbic areas which was attenuated by exogenous ghrelin. Ghrelin infusion alone had a small but significant stimulatory effect on CNS BOLD signals. CONCLUSION: Ghrelin inhibits activation of the hypothalamus and brain stem induced by ingested nutrients, suggesting a role in suppression of gut-derived satiety signals in humans.

Effects of ulotaront on brain circuits of reward, working memory, and emotion processing in healthy volunteers with high or low schizotypy.

Ulotaront, a trace amine-associated receptor 1 (TAAR1) and serotonin 5-HT1A receptor agonist without antagonist activity at dopamine D2 or the serotonin 5-HT2A receptors, has demonstrated efficacy in the treatment of schizophrenia. Here we report the phase 1 translational studies that profiled the effect of ulotaront on brain responses to reward, working memory, and resting state connectivity (RSC) in individuals with low or high schizotypy (LS or HS). Participants were randomized to placebo (n = 32), ulotaront (50 mg; n = 30), or the D2 receptor antagonist amisulpride (400 mg; n = 34) 2 h prior to functional magnetic resonance imaging (fMRI) of blood oxygen level-dependent (BOLD) responses to task performance. Ulotaront increased subjective drowsiness, but reaction times were impaired by less than 10% and did not correlate with BOLD responses. In the Monetary Incentive Delay task (reward processing), ulotaront significantly modulated striatal responses to incentive cues, induced medial orbitofrontal responses, and prevented insula activation seen in HS subjects. In the N-Back working memory task, ulotaront modulated BOLD signals in brain regions associated with cognitive impairment in schizophrenia. Ulotaront did not show antidepressant-like biases in an emotion processing task. HS had significantly reduced connectivity in default, salience, and executive networks compared to LS participants and both drugs reduced this difference. Although performance impairment may have weakened or contributed to the fMRI findings, the profile of ulotaront on BOLD activations elicited by reward, memory, and resting state is compatible with an indirect modulation of dopaminergic function as indicated by preclinical studies. This phase 1 study supported the subsequent clinical proof of concept trial in people with schizophrenia.Clinical trial registration: Registry# and URL: ClinicalTrials.gov NCT01972711, https://clinicaltrials.gov/ct2/show/NCT01972711.

The Neuro/PsyGRID calibration experiment: identifying sources of variance and bias in multicenter MRI studies.

Calibration experiments precede multicenter trials to identify potential sources of variance and bias. In support of future imaging studies of mental health disorders and their treatment, the Neuro/PsyGRID consortium commissioned a calibration experiment to acquire functional and structural MRI from twelve healthy volunteers attending five centers on two occasions. Measures were derived of task activation from a working memory paradigm, fractal scaling (Hurst exponent) from resting fMRI, and grey matter distributions from T(1) -weighted sequences. At each intracerebral voxel a fixed-effects analysis of variance estimated components of variance corresponding to factors of center, subject, occasion, and within-occasion order, and interactions of center-by-occasion, subject-by-occasion, and center-by-subject, the latter (since there is no intervention) a surrogate of the expected variance of the treatment effect standard error across centers. A rank order test of between-center differences was indicative of crossover or noncrossover subject-by-center interactions. In general, factors of center, subject and error variance constituted >90% of the total variance, whereas occasion, order, and all interactions were generally <5%. Subject was the primary source of variance (70%-80%) for grey-matter, with error variance the dominant component for fMRI-derived measures. Spatially, variance was broadly homogenous with the exception of fractal scaling measures which delineated white matter, related to the flip angle of the EPI sequence. Maps of P values for the associated F-tests were also derived. Rank tests were highly significant indicating the order of measures across centers was preserved. In summary, center effects should be modeled at the voxel-level using existing and long-standing statistical recommendations.

Mapping the Homeostatic and Hedonic Brain Responses to Stevia Compared to Caloric Sweeteners and Water: A Double-Blind Randomised Controlled Crossover Trial in Healthy Adults.

Non-nutritive sweeteners have potential effects on brain function. We investigated neural correlates of responses to beverages differing in sweetness and calories. Healthy participants completed 4 randomised sessions: water vs. water with stevia, glucose, or maltodextrin. Blood-oxygenation level-dependent (BOLD) contrast was monitored for 30 min post-ingestion by functional Magnetic Resonance Imaging. A food visual probe task at baseline was repeated at 30 min. A significant interaction of taste-by-calories-by-time was demonstrated mainly in motor, frontal, and insula cortices. Consumption of the stevia-sweetened beverage resulted in greater BOLD decrease, especially in the 20-30 min period, compared to other beverages. There was a significant interaction of taste-by-time in BOLD response in gustatory and reward areas; sweet beverages induced greater reduction in BOLD compared to non-sweet. The interaction calories-by-time showed significantly greater incremental area under the curve in thalamic, visual, frontal, and parietal areas for glucose and maltodextrin 10-20 min post-consumption only, compared to water. In the visual cue task, the water demonstrated an increased response in the visual cortex to food images post-consumption; however, no difference was observed for the three sweet/caloric beverages. In conclusion, both sweet taste and calories exert modulatory effects, but stevia showed a more robust and prolonged effect.

Mirtazapine antagonises the subjective, hormonal and neuronal effects of m-chlorophenylpiperazine (mCPP) infusion: a pharmacological-challenge fMRI (phMRI) study.

Aberrant signalling through central 5-HT(2C) receptor pathways has been implicated in various psychiatric disorders but this has not been amenable to experimental investigation in the absence of a valid in-vivo biomarker of functional 5-HT(2C) neurotransmission. One approach is drug-challenge pharmaco-magnetic resonance imaging (phMRI). We have previously shown that intravenous administration of the 5-HT(2C) agonist m-chlorophenylpiperazine (mCPP) elicits increases in blood oxygenation dependent signal (BOLD) in regions consistent with the distribution of 5-HT(2C) receptors. In the current study we determined whether BOLD signal responses to mCPP could be blocked by pre-treatment with a 5-HT(2C) antagonist. Healthy male volunteers received oral mirtazapine, 5-HT(2)/5-HT(3) receptor antagonist, or placebo 90min prior to intravenous mCPP challenge phMRI. BOLD signal increases following mCPP infusion occurred in areas known to be rich in 5-HT(2C) receptors such as the substantia nigra, hypothalamus, pallidum and amygdala. These responses were attenuated by mirtazapine pre-treatment. The results suggest that mCPP-challenge phMRI produces reliable patterns of response that are mediated by 5-HT(2C) receptors; these responses may therefore be useful in-vivo measures of 5-HT(2C) function in psychiatric disorders.

Defining the role of cholecystokinin in the lipid-induced human brain activation matrix.

BACKGROUND & AIMS: In human beings, as in most vertebrates, the release of the intestinal peptide cholecystokinin (CCK) by ingested food plays a major role both in digestion and the regulation of further food intake, but the changes in brain function and their underlying activation mechanisms remain unknown. Our aim was to explore, using a novel physiologic magnetic resonance imaging approach, the temporospatial brain activation matrix, in response to ingestion of a lipid meal and, by use of a CCK-1 receptor antagonist, to define the role of CCK in this activation. METHODS: We studied, in 19 healthy subjects, the brain activation responses to ingested lipid (dodecanoic acid) or saline (control) with magnetic resonance imaging. Gallbladder volume, plasma CCK levels, and subjective hunger and fullness scores were also recorded. The experiment was then repeated, with and without prior administration of the CCK-1 receptor antagonist dexloxiglumide (600 mg orally) with a controlled, randomized order, latin-square design. RESULTS: Ingested lipid activated bilaterally a matrix of brain areas, particularly the brain stem, pons, hypothalamus, and also cerebellum and motor cortical areas. These activations were abolished by dexloxiglumide, indicating a CCK-mediated pathway, independent of any nutrient-associated awareness cues. CONCLUSION: The identification of these activations now defines the lipid-activated brain matrix and provides a means by which the gut-derived homeostatic mechanisms of food regulation can be distinguished from secondary sensory and hedonic cues, thereby providing a new approach to exploring aberrant human gastrointestinal responses and eating behavior.

Assessment of the impact of the scanner-related factors on brain morphometry analysis with Brainvisa.

BACKGROUND: Brain morphometry is extensively used in cross-sectional studies. However, the difference in the estimated values of the morphometric measures between patients and healthy subjects may be small and hence overshadowed by the scanner-related variability, especially with multicentre and longitudinal studies. It is important therefore to investigate the variability and reliability of morphometric measurements between different scanners and different sessions of the same scanner. METHODS: We assessed the variability and reliability for the grey matter, white matter, cerebrospinal fluid and cerebral hemisphere volumes as well as the global sulcal index, sulcal surface and mean geodesic depth using Brainvisa. We used datasets obtained across multiple MR scanners at 1.5 T and 3 T from the same groups of 13 and 11 healthy volunteers, respectively. For each morphometric measure, we conducted ANOVA analysis and verified whether the estimated values were significantly different across different scanners or different sessions of the same scanner. The between-centre and between-visit reliabilities were estimated from their contribution to the total variance, using a random-effects ANOVA model. To estimate the main processes responsible for low reliability, the results of brain segmentation were compared to those obtained using FAST within FSL. RESULTS: In a considerable number of cases, the main effects of both centre and visit factors were found to be significant. Moreover, both between-centre and between-visit reliabilities ranged from poor to excellent for most morphometric measures. A comparison between segmentation using Brainvisa and FAST revealed that FAST improved the reliabilities for most cases, suggesting that morphometry could benefit from improving the bias correction. However, the results were still significantly different across different scanners or different visits. CONCLUSIONS: Our results confirm that for morphometry analysis with the current version of Brainvisa using data from multicentre or longitudinal studies, the scanner-related variability must be taken into account and where possible should be corrected for. We also suggest providing some flexibility to Brainvisa for a step-by-step analysis of the robustness of this package in terms of reproducibility of the results by allowing the bias corrected images to be imported from other packages and bias correction step be skipped, for example.