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Genome-wide screens were used to identify copy number variation in 3812 patients with a diverse spectrum of epilepsy syndromes and in 1299 neurologically-normal controls to evaluate the role of 16p13.11 deletions and other structural variation in epilepsy disorders. The data implicated 16p13.11 and possibly other large deletions as risk factors for a wide range of epilepsy disorders and appear to point toward haploinsufficiency as a contributor to the pathogenicity of deletions.

Background: UK Biobank's ambitious aim is to perform cardiovascular magnetic resonance (CMR) in 100,000 people previously recruited into this prospective cohort study of half a million 40-69 year-olds. Methods/design: We describe the CMR protocol applied in UK Biobank's pilot phase, which will be extended into the main phase with three centres using the same equipment and protocols. The CMR protocol includes white blood CMR (sagittal anatomy, coronary and transverse anatomy), cine CMR (long axis cines, short axis cines of the ventricles, coronal LVOT cine), strain CMR (tagging), flow CMR (aortic valve flow) and parametric CMR (native T1 map). Discussion: This report will serve as a reference to researchers intending to use the UK Biobank resource or to replicate the UK Biobank cardiovascular magnetic resonance protocol in different settings. [ABSTRACT FROM AUTHOR]

Background Systemic sclerosis (SSc) is characterised by multi-organ tissue fibrosis including the myocardium. Diffuse myocardial fibrosis can be detected non-invasively by T1 and extracellular volume (ECV) quantification, while focal myocardial inflammation and fibrosis may be detected by T2-weighted and late gadolinium enhancement (LGE), respectively, using cardiovascular magnetic resonance (CMR). We hypothesised that multiparametric CMR can detect subclinical myocardial involvement in patients with SSc. Methods 19 SSc patients (18 female, mean age 55 ± 10 years) and 20 controls (19 female, mean age 56 ± 8 years) without overt cardiovascular disease underwent CMR at 1.5T, including cine, tagging, T1-mapping, T2-weighted, LGE imaging and ECV quantification. Results Focal fibrosis on LGE was found in 10 SSc patients (53%) but none of controls. SSc patients also had areas of myocardial oedema on T2-weighted imaging (median 13 vs. 0% in controls). SSc patients had significantly higher native myocardial T1 values (1007 ± 29 vs. 958 ± 20 ms, p < 0.001), larger areas of myocardial involvement by native T1 >990 ms (median 52 vs. 3% in controls) and expansion of ECV (35.4 ± 4.8 vs. 27.6 ± 2.5%, p < 0.001), likely representing a combination of low-grade inflammation and diffuse myocardial fibrosis. Regardless of any regional fibrosis, native T1 and ECV were significantly elevated in SSc and correlated with disease activity and severity. Although biventricular size and global function were preserved, there was impairment in the peak systolic circumferential strain (-16.8 ± 1.6 vs. -18.6 ± 1.0, p < 0.001) and peak diastolic strain rate (83 ± 26 vs. 114 ± 16 s-1, p < 0.001) in SSc, which inversely correlated with diffuse myocardial fibrosis indices. Conclusions Cardiac involvement is common in SSc even in the absence of cardiac symptoms, and includes chronic myocardial inflammation as well as focal and diffuse myocardial fibrosis. Myocardial abnormalities detected on CMR were associated with impaired strain parameters, as well as disease activity and severity in SSc patients. CMR may be useful in future in the study of treatments aimed at preventing or reducing adverse myocardial processes in SSc. [ABSTRACT FROM AUTHOR]

Highlights: [•] With common tools, imaging provides a bridge from preclinical drug development into the clinic. [•] Methods can enable the study of the dynamics of stroke or multiple sclerosis to suggest when to target treatment to which pathology. [•] Imaging can stratify patients to enhance power in pharmacodynamics response tests or to lower treatment risks for patients. [•] Imaging endpoints also can be both more sensitive than- and predictive of- clinical outcomes. [•] Human imaging and experimental medicine thus help to discharge late stage development risks early. [ABSTRACT FROM AUTHOR]

UK Biobank is a prospective cohort study with 500,000 participants aged 40 to 69. Recently an enhanced imaging study received funding. Cardiovascular magnetic resonance (CMR) will be part of a multi-organ, multi-modality imaging visit in 3-4 dedicated UK Biobank imaging centres that will acquire and store imaging data from 100,000 participants (subject to successful piloting). In each of UK Biobank's dedicated bespoke imaging centres, it is proposed that 15-20 participants will undergo a 2 to 3 hour visit per day, seven days a week over a period of 5-6 years. The imaging modalities will include brain MRI at 3 Tesla, CMR and abdominal MRI at 1.5 Tesla, carotid ultrasound and DEXA scans using carefully selected protocols. We reviewed the rationale, challenges and proposed approaches for concise phenotyping using CMR on such a large scale. Here, we discuss the benefits of this imaging study and review existing and planned population based cardiovascular imaging in prospective cohort studies. We will evaluate the CMR protocol, feasibility, process optimisation and costs. Procedures for incidental findings, quality control and data processing and analysis are also presented. As is the case for all other data in the UK Biobank resource, this database of images and related information will be made available through UK Biobank's Access Procedures to researchers (irrespective of their country of origin and whether they are academic or commercial) for health-related research that is in the public interest. [ABSTRACT FROM AUTHOR]

Summary: Obesity is a major public health issue worldwide. Understanding how the brain controls appetite offers promising inroads toward new therapies for obesity. Peptide YY (PYY) and glucagon-like peptide 1 (GLP-1) are coreleased postprandially and reduce appetite and inhibit food intake when administered to humans. However, the effects of GLP-1 and the ways in which PYY and GLP-1 act together to modulate brain activity in humans are unknown. Here, we have used functional MRI to determine these effects in healthy, normal-weight human subjects and compared them to those seen physiologically following a meal. We provide a demonstration that the combined administration of PYY3-36 and GLP-17-36 amide to fasted human subjects leads to similar reductions in subsequent energy intake and brain activity, as observed physiologically following feeding. [ABSTRACT FROM AUTHOR]

Clinical imaging offers a range of methods for the support of drug development that are able to address major questions related to target validation and molecule biodistribution, target interactions and pharmacodynamics. Here we review recent innovative applications of positron emission tomography (PET) and magnetic resonance imaging (MRI). New approaches to human target validation exploring MRI or PET biomarker changes related to allelic variation at candidate target loci can contribute to human target validation. PET molecular imaging can define molecule biodistribution directly and, if an appropriate, target-specific radioligand is available, be employed in small experimental medicine studies to provide plasma pharmacokinetic–target occupancy data to guide dose selection. An enlarging range of imaging biomarkers for pharmacodynamic studies is enabling imaging experimental medicine studies to assess the potential efficacy of new therapeutic molecules. Integration of these approaches promises improvements in therapeutic molecule differentiation and may contribute in ways that would improve the value proposition for use of a new drug through patient stratification. [ABSTRACT FROM AUTHOR]

Background: The trend towards large-scale studies including population imaging poses new challenges in terms of quality control (QC). This is a particular issue when automatic processing tools such as image segmentation methods are employed to derive quantitative measures or biomarkers for further analyses. Manual inspection and visual QC of each segmentation result is not feasible at large scale. However, it is important to be able to automatically detect when a segmentation method fails in order to avoid inclusion of wrong measurements into subsequent analyses which could otherwise lead to incorrect conclusions. Methods: To overcome this challenge, we explore an approach for predicting segmentation quality based on Reverse Classification Accuracy, which enables us to discriminate between successful and failed segmentations on a per-cases basis. We validate this approach on a new, large-scale manually-annotated set of 4800 cardiovascular magnetic resonance (CMR) scans. We then apply our method to a large cohort of 7250 CMR on which we have performed manual QC. Results: We report results used for predicting segmentation quality metrics including Dice Similarity Coefficient (DSC) and surface-distance measures. As initial validation, we present data for 400 scans demonstrating 99% accuracy for classifying low and high quality segmentations using the predicted DSC scores. As further validation we show high correlation between real and predicted scores and 95% classification accuracy on 4800 scans for which manual segmentations were available. We mimic real-world application of the method on 7250 CMR where we show good agreement between predicted quality metrics and manual visual QC scores. Conclusions: We show that Reverse classification accuracy has the potential for accurate and fully automatic segmentation QC on a per-case basis in the context of large-scale population imaging as in the UK Biobank Imaging Study. [ABSTRACT FROM AUTHOR]

Background: Cardiovascular resonance (CMR) imaging is a standard imaging modality for assessing cardiovascular diseases (CVDs), the leading cause of death globally. CMR enables accurate quantification of the cardiac chamber volume, ejection fraction and myocardial mass, providing information for diagnosis and monitoring of CVDs. However, for years, clinicians have been relying on manual approaches for CMR image analysis, which is time consuming and prone to subjective errors. It is a major clinical challenge to automatically derive quantitative and clinically relevant information from CMR images. Methods: Deep neural networks have shown a great potential in image pattern recognition and segmentation for a variety of tasks. Here we demonstrate an automated analysis method for CMR images, which is based on a fully convolutional network (FCN). The network is trained and evaluated on a large-scale dataset from the UK Biobank, consisting of 4,875 subjects with 93,500 pixelwise annotated images. The performance of the method has been evaluated using a number of technical metrics, including the Dice metric, mean contour distance and Hausdorff distance, as well as clinically relevant measures, including left ventricle (LV) end-diastolic volume (LVEDV) and end-systolic volume (LVESV), LV mass (LVM); right ventricle (RV) end-diastolic volume (RVEDV) and end-systolic volume (RVESV). Results: By combining FCN with a large-scale annotated dataset, the proposed automated method achieves a high performance in segmenting the LV and RV on short-axis CMR images and the left atrium (LA) and right atrium (RA) on long-axis CMR images. On a short-axis image test set of 600 subjects, it achieves an average Dice metric of 0.94 for the LV cavity, 0.88 for the LV myocardium and 0.90 for the RV cavity. The mean absolute difference between automated measurement and manual measurement is 6.1 mL for LVEDV, 5.3 mL for LVESV, 6.9 gram for LVM, 8.5 mL for RVEDV and 7.2 mL for RVESV. On long-axis image test sets, the average Dice metric is 0.93 for the LA cavity (2-chamber view), 0.95 for the LA cavity (4-chamber view) and 0.96 for the RA cavity (4-chamber view). The performance is comparable to human inter-observer variability. Conclusions: We show that an automated method achieves a performance on par with human experts in analysing CMR images and deriving clinically relevant measures. [ABSTRACT FROM AUTHOR]

An abstract on myocardial and vascular dysfunction in patients with rheumatoid arthritis is presented.

An abstract of the article "Myocardial tissue characterisation with late gadolinium enhancement in rheumatoid arthritis, systemic lupus erythematosus and systemic sclerosis," by Nobeko A. Ntusi and colleagues is presented.

An abstract of the article "Patients with systemic lupus erythematosus have impaired strain and vascular function which is incremental to that caused by traditional risk factors: insights from Cardiovascular Magnetic Resonance," by Ntobeko A. Ntusi and colleagues is presented.

Preclinical imaging with magnetic resonance imaging (MRI), computerised tomography (CT), ultrasound (US), positron emission tomography (PET) or single-photon emission computed tomography (SPECT) enable non-invasive measures of tissue structure, function or metabolism in vivo. The technologies can add value to preclinical studies by enabling dynamic pharmacological observations on the same animal and because of possibilities for relatively direct clinical translation. Potential benefits from the application of preclinical imaging should be considered routinely in drug development. [Copyright &y& Elsevier]

Category-related brain activations have been reported in the posterior fusiform gyri when people view pictures of tools and animals, but only a single study has observed this pattern when the stimuli were words, rather than pictures. Here we replicate these category effects with words and provide evidence that distinctive patterns of activation are task specific. The results suggest that category-related activation in the posterior fusiform gyri can be driven either “bottom-up” by visual processing of images or “top-down” by word processing. [Copyright &y& Elsevier]

Background Depression, a condition commonly comorbid with multiple sclerosis (MS), is associated more generally with elevated inflammatory markers and hippocampal pathology. We hypothesized that neuroinflammation in the hippocampus is responsible for depression associated with MS. We characterized the relationship between depressive symptoms and hippocampal microglial activation in patients with MS using the 18-kDa translocator protein radioligand [ 18 F]PBR111. To evaluate pathophysiologic mechanisms, we explored the relationships between hippocampal neuroinflammation, depressive symptoms, and hippocampal functional connectivities defined by resting-state functional magnetic resonance imaging. Methods The Beck Depression Inventory (BDI) was administered to 11 patients with MS and 22 healthy control subjects before scanning with positron emission tomography and functional magnetic resonance imaging. We tested for higher [ 18 F]PBR111 uptake in the hippocampus of patients with MS relative to healthy control subjects and examined the correlations between [ 18 F]PBR111 uptake, BDI scores, and hippocampal functional connectivities in the patients with MS. Results Patients with MS had an increased hippocampal [ 18 F]PBR111 distribution volume ratio relative to healthy control subjects ( p = .024), and the hippocampal distribution volume ratio was strongly correlated with the BDI score in patients with MS ( r = .86, p = .006). Hippocampal functional connectivities to the subgenual cingulate and prefrontal and parietal regions correlated with BDI scores and [ 18 F]PBR111 distribution volume ratio. Conclusions Our results provide evidence that hippocampal microglial activation in MS impairs the brain functional connectivities in regions contributing to maintenance of a normal affective state. Our results suggest a rationale for the responsiveness of depression in some patients with MS to effective control of brain neuroinflammation. Our findings also lend support to further investigation of the role of inflammatory processes in the pathogenesis of depression more generally. [ABSTRACT FROM AUTHOR]

Neuropathology suggests an important role for the locus coeruleus (LC) in Alzheimer's disease (AD) pathophysiology. Neuropathology and structural damage in the LC appears to be one of the earliest changes. We hypothesize that reduced functional integration of the LC reflected by lower brain functional connectivity contributes to early memory dysfunction. To test this, we examined resting-state functional connectivity from the LC in 18 healthy older individuals and 18 mildly cognitively impaired patients with possible AD. Connectivity measures were correlated with memory scores. The left LC showed strong connectivity to the left parahippocampal gyrus that correlated with memory performance in healthy persons. This connectivity was reduced in aMCI patients. Lateralization of connectivity-memory correlations was altered in less impaired aMCI patients: greater right LC-left parahippocampal gyrus connectivity was associated with better memory performance, in particular for encoding. Our results provide new evidence that the LC, in interaction with the parahippocampal gyrus, may contribute to episodic memory formation. They suggest functional impairment and the possibility that associated compensatory changes contribute to preserved memory functions in early AD. Structural and functional LC-related measures may provide early AD markers. [ABSTRACT FROM AUTHOR]

Although age-related gait changes have been well characterized, little is known regarding potential functional changes in central motor control of distal lower limb movements with age. We hypothesized that there are age-related changes in brain activity associated with the control of repetitive ankle movements, an element of gait feasible for study with functional magnetic resonance imaging. We analyzed standardized functional magnetic resonance imaging data from 102 right-foot dominant healthy participants aged 20-83 years for age-associated effects using FSL and a meta-analysis using coordinate-based activation likelihood estimation. For the first time, we have confirmed age-related changes in brain activity with this gait-related movement of the lower limb in a large population. Increasing age correlated strongly with increased movement-associated activity in the cerebellum and precuneus. Given that task performance did not vary with age, we interpret these changes as potentially compensatory for other age-related changes in the sensorimotor network responsible for control of limb function. [ABSTRACT FROM AUTHOR]

Summary: TSPO mediated transport of cholesterol into the mitochondrion is a necessary step in steroid synthesis. The rs6971 polymorphism in the TSPO gene causes an amino acid substitution (Ala147Thr) within the transmembrane domain where the cholesterol-binding pocket is located, and has been shown to affect the steroidogenic pathway. We report a nominal association between this TSPO polymorphism and the diagnosis of Bipolar Disorder in both the genome-wide dataset of the Wellcome Trust Case–Control Consortium and the Psychiatric Genome-Wide Association Study Consortium Bipolar Disorder group (OR=1.11, p =0.007; OR=1.10, p =0.011, respectively). We propose that the amino acid substitution affects hypothalamic–pituitary–adrenal (HPA) regulation, and hence may predispose to Bipolar Disorder. This supports the hypothesis that HPA dysregulation has a causal role in Bipolar Disorder, and is not just a consequence of the disease. [Copyright &y& Elsevier]

Abstract: Neuroimaging measures hold promise for enhancing the detection of disease-related genetic variants. In this study, we use advanced multivariate regression methods to assess the predictive value of single nucleotide polymorphisms (SNPs) on several brain volumetric- and lesion-related neuroimaging measures in a well-characterized cohort of 326 patients with multiple sclerosis (MS). SNP selection was constrained to key epigenetic regulatory genes to further explore the emerging role of epigenetics in MS. Regression models consistently identified rs2522129, rs2675231, and rs2389963 as having among the highest predictive values for explaining differences related to brain volume measures. These SNPs are all contained in genes from the same superfamily, histone deacetylases, which have biological functions that are relevant to MS, neurodegeneration, and aging. Our preliminary findings generate hypotheses for testing in future independent MS data sets as well as other neurodegenerative conditions. [Copyright &y& Elsevier]

Background: We aimed to demonstrate a pharmacologically stimulated endogenous opioid release in the living human brain by evaluating the effects of amphetamine administration on [11C]carfentanil binding with positron emission tomography (PET). Methods: Twelve healthy male volunteers underwent [11C]carfentanil PET before and 3 hours after a single oral dose of d-amphetamine (either a “high” dose, .5 mg/kg, or a sub-pharmacological “ultra-low” dose, 1.25 mg total dose or approximately .017 mg/kg). Reductions in [11C]carfentanil binding from baseline to post-amphetamine scans (ΔBPND) after the “high” and “ultra-low” amphetamine doses were assessed in 10 regions of interest. Results: [11C]carfentanil binding was reduced after the “high” but not the “ultra-low” amphetamine dose in the frontal cortex, putamen, caudate, thalamus, anterior cingulate, and insula. Conclusions: Our findings indicate that oral amphetamine administration induces endogenous opioid release in different areas of human brain, including basal ganglia, frontal cortex areas, and thalamus. The combination of an amphetamine challenge and [11C]carfentanil PET is a practical and robust method to probe the opioid system in the living human brain. [ABSTRACT FROM AUTHOR]

Abstract: Replications of the association between APOE-ε4 allele load and regional brain atrophy in Alzheimer''s disease (AD) patients hold promise for future studies testing relationships between other disease risk gene variants and brain structure. A polymorphism, rs10868366, in the Golgi phosphoprotein 2 gene, GOLM1, was recently identified as an AD risk factor in a genome-wide association study. In a subset of the same AD cohort, we used voxel-based morphometry to test for association between the disease risk genotype and reduced regional gray matter (GM) volume in AD patients (n = 72). A mean 14% reduction in GM volume was observed in the left frontal gyrus with the higher risk GG genotype. A similar association was observed in an independent, dataset of nondemented subjects (n = 278), although with a smaller effect (1%). This replicated association with GM structural variation suggests that GOLM1 polymorphisms may be related to cognitive phenotypes. The greater effect size in AD patients also suggests that the GG genotype could be a risk factor for the expression of cognitive deficits in AD. [Copyright &y& Elsevier]

Background: There is a paucity of neuroimaging data in pediatric-onset obsessive-compulsive disorder (OCD). This multimodal neuroimaging study aimed to identify structural gray (GM) and white matter (WM) microstructure changes in pediatric OCD. Methods: We obtained structural and diffusion tensor magnetic resonance images from 26 OCD patients and 26 matched healthy adolescents. We carried out a series of image analyses including, volumetric and shape analysis of subcortical gray structures, as well as voxel-based morphometry on GM volume and fractional anisotropy of the WM. Results: Patients had increased GM volume in the caudate bilaterally and right putamen. Shape analyses revealed specific hypertrophy of the dorsal caudate in pediatric OCD. The striatum was larger in healthy boys compared with healthy girls, whereas such a gender effect was not seen in the OCD group. OCD subjects showed higher fractional anisotropy values in left inferior longitudinal fasciculus, bilateral superior longitudinal fasciculus, right inferior fronto-occipital fasciculus, bilateral corticospinal tract, corpus callosum splenium and genu, bilateral forceps major, bilateral forceps minor, left cingulum, and right uncinate fasciculus. OCD symptom severity was positively correlated with GM volume in right insula, posterior orbitofrontal cortex, brainstem, and cerebellum and inversely correlated with widespread reduction in cortical GM volume. Furthermore, symptom severity positively correlated with increased WM fractional anisotropy in various WM tracts, including the anterior limb of the internal capsule. Conclusions: Adolescents with OCD had a wide range of GM and WM changes compared to healthy control subjects that are broadly consistent with those identified in the adult OCD literature but are more extensive. [ABSTRACT FROM AUTHOR]

Summary: Objective: Several studies have established links between thyroid gland dysfunction and mood disorders, in particular major depressive disorder (MDD). Preliminary evidence also suggests that thyroid hormone gene variants influence grey matter (GM) volume, which is reportedly altered in patients with MDD. This study tested for associations of single nucleotide polymorphisms (SNPs) in two thyroid hormone transporter genes with regional GM volume differences in a large sample population of patients with recurrent MDD and healthy volunteers. Methods: High-resolution T1-weighted magnetic resonance images were acquired at the Max Planck Institute, Munich, Germany. After quality control procedures were applied to images and genotypes, data for 134 patients and 144 well-matched controls were included in a stringent voxel-based morphometry analysis using non-stationary cluster-based inference. We first tested for associations between 10 candidate SNPs and regional GM volume differences across the combined sample population. We then tested for group-by-genotype interactions (i.e., differential associations determined by group status). Results: No significant associations were found between SNPs and regional GM volume when testing across the combined sample population. However, group-by-genotype interactions for two highly correlated SNPs (rs496549 and rs479640) revealed co-localised association clusters in the left occipital cortex (P-values 0.002 and 0.004, respectively, after full correction for whole brain and multiple SNP testing). The effect magnitudes within the average modulated GM clusters were greater in the control group relative to the MDD group. This study provides supporting evidence to the existing literature that thyroid-related gene variants influence regional GM volume. We propose that future studies should consider neuroimaging phenotypes when investigating the effects of thyroid hormones on brain structure and function. [ABSTRACT FROM AUTHOR]

Abstract: Relative cerebral blood volume (CBV) was estimated using a mild hypoxic challenge in humans, combined with BOLD contrast gradient-echo imaging at 3 T. Subjects breathed 16% inspired oxygen, eliciting mild arterial desaturation. The fractional BOLD signal change induced by mild hypoxia is expected to be proportional to CBV under conditions in which there are negligible changes in cerebral perfusion. By comparing the regional BOLD signal changes arising with the transition between normoxia and mild hypoxia, we calculated CBV ratios of 1.5±0.2 (mean±S.D.) for cortical gray matter to white matter and 1.0±0.3 for cortical gray matter to deep gray matter. [Copyright &y& Elsevier]

Background: Mutations in LRRK2, the gene that encodes leucine-rich repeat kinase 2, are a cause of Parkinson's disease (PD). The International LRRK2 Consortium was established to answer three key clinical questions: can LRRK2-associated PD be distinguished from idiopathic PD; which mutations in LRRK2 are pathogenic; and what is the age-specific cumulative risk of PD for individuals who inherit or are at risk of inheriting a deleterious mutation in LRRK2?Methods: Researchers from 21 centres across the world collaborated on this study. The frequency of the common LRRK2 Gly2019Ser mutation was estimated on the basis of data from 24 populations worldwide, and the penetrance of the mutation was defined in 1045 people with mutations in LRRK2 from 133 families. The LRRK2 phenotype was defined on the basis of 59 motor and non-motor symptoms in 356 patients with LRRK2-associated PD and compared with the symptoms of 543 patients with pathologically proven idiopathic PD.Findings: Six mutations met the consortium's criteria for being proven pathogenic. The frequency of the common LRRK2 Gly2019Ser mutation was 1% of patients with sporadic PD and 4% of patients with hereditary PD; the frequency was highest in the middle east and higher in southern Europe than in northern Europe. The risk of PD for a person who inherits the LRRK2 Gly2019Ser mutation was 28% at age 59 years, 51% at 69 years, and 74% at 79 years. The motor symptoms (eg, disease severity, rate of progression, occurrence of falls, and dyskinesia) and non-motor symptoms (eg, cognition and olfaction) of LRRK2-associated PD were more benign than those of idiopathic PD.Interpretation: Mutations in LRRK2 are a clinically relevant cause of PD that merit testing in patients with hereditary PD and in subgroups of patients with PD. However, this knowledge should be applied with caution in the diagnosis and counselling of patients.Funding: UK Medical Research Council; UK Parkinson's Disease Society; UK Brain Research Trust; Internationaal Parkinson Fonds; Volkswagen Foundation; National Institutes of Health: National Institute of Neurological Disorders and Stroke and National Institute of Aging; Udall Parkinson's Disease Centre of Excellence; Pacific Alzheimer Research Foundation Centre; Italian Telethon Foundation; Fondazione Grigioni per il Morbo di Parkinson; Michael J Fox Foundation for Parkinson's Research; Safra Global Genetics Consortium; US Department of Veterans Affairs; French Agence Nationale de la Recherche. [ABSTRACT FROM AUTHOR]

Abstract: Marmoset experimental autoimmune encephalomyelitis (EAE) has previously been shown to replicate the essential features of both white matter and grey matter lesions of MS. This study set out to investigate whether cortical atrophy occurs in marmoset EAE and whether cortical thinning is related to the presence of focal, demyelinated cortical lesions. Seventeen leucocortical lesions and 13 subpial lesions were identified in 6 EAE cases. Cortical thickness surrounding these lesions was recorded and compared with matched cortical areas from five control animals. We found a diffuse 13–21% loss of cortical thickness in all areas of EAE cortex compared with control animals but there was no additional loss seen in demyelinated versus myelinated EAE cortex. These findings could not be accounted for by effects of age, sex and disease duration. We conclude that localised cortical demyelination is not responsible for the major part of the atrophy observed and that cortical thinning is largely due to more diffuse or more remote factors. Marmoset EAE is an invaluable tool which can be used to further investigate the cause and the substrate of cortical loss in demyelinating diseases. [Copyright &y& Elsevier]

Background: Studies using proton magnetic resonance spectroscopy (MRS) have indicated that unmedicated, acutely depressed patients have decreased levels of γ-aminobutyric acid (GABA) in occipital cortex. Cortical levels of glutamate (Glu) may be increased, although these data are less consistent. The aim of this study was to use MRS to determine whether changes in GABA and Glu levels were present in patients with mood disorders who had recovered and were no longer taking medication. Methods: An [1H]-MRS was used to measure levels of GABA, of the combined concentration of Glu and glutamine (Gln), and of N-acetylaspartate (NAA) in occipital cortex in medication-free, fully recovered subjects with a history of recurrent unipolar depression (n = 15), bipolar disorder (n = 16), and a group of healthy controls (n = 18). Results: Occipital levels of GABA and NAA were significantly lower in recovered depressed and bipolar subjects than in healthy controls, whereas Glu +Gln concentrations were higher. Conclusions: Our data suggest that recovered unmedicated subjects with a history of mood disorder have changes in cortical concentrations of GABA, NAA, and Glu +Gln. These biochemical abnormalities may be markers of a trait vulnerability to mood disorder, rather than neurochemical correlates of an abnormal mood state. [Copyright &y& Elsevier]

Background: Converging evidence from several theories of the development of incentive-sensitization to smoking-related environmental stimuli suggests that the ventral striatum plays an important role in the processing of smoking-related cue reactivity. Methods: Twenty-six healthy right-handed volunteers (14 smokers and 12 nonsmoking controls) underwent functional magnetic resonance imaging (fMRI) during which neutral and smoking-related images were presented. Region of interest analyses were performed within the ventral striatum/nucleus accumbens (VS/NAc) for the contrast between smoking-related (SR) and nonsmoking related neutral (N) cues. Results: Group activation for SR versus N cues was observed in smokers but not in nonsmokers in medial orbitofrontal cortex, superior frontal gyrus, anterior cingulate cortex, and posterior fusiform gyrus using whole-brain corrected Z thresholds and in the ventral VS/NAc using uncorrected Z-statistics (smokers Z = 3.2). Region of interest analysis of signal change within ventral VS/NAc demonstrated significantly greater activation to SR versus N cues in smokers than controls. Conclusions: This is the first demonstration of greater VS/NAc activation in addicted smokers than nonsmokers presented with smoking-related cues using fMRI. Smokers, but not controls, demonstrated activation to SR versus N cues in a distributed reward signaling network consistent with cue reactivity studies of other drugs of abuse. [Copyright &y& Elsevier]

Information processing in the primate brain is based on the complementary principles of modular and distributed information processing. The former emphasizes the specialization of functions within different brain areas. The latter emphasizes the massively parallel nature of brain networks and the fact that function also emerges from the flow of information between brain areas. The localization of function to specific brain areas (“functional segregation”) is the commonest approach to investigating function; however, an emerging, complementary approach (“functional integration”) describes function in terms of the information flow across networks of areas. Here, we highlight recent advances in neuroimaging methodology that have made it possible to investigate the anatomical architecture of networks in the living human brain with diffusion tensor imaging (DTI). We also highlight recent thinking on the ways in which functional imaging can be used to characterize information transmission across networks in the human brain (functional and effective connectivity). [Copyright &y& Elsevier]

Background: Several genes have been implicated in the pathogenesis of Parkinson's disease (PD). The aim of this study was to define the clinical symptoms and age-associated cumulative incidence of the most frequent mutation associated with PD, LRRK2 Gly2019Ser. Methods: 238 patients with sporadic PD and 371 unrelated control participants from the Arab-Berber population were screened at the Institut National de Neurologie, Tunis. Symptoms of PD were assessed using the Hoehn and Yahr scale, the unified Parkinson's disease rating scale, and the Epworth scale. Genotyping for LRRK2 6055G-->A, which causes the Gly2019Ser mutation, was done in all participants, and the age-specific cumulative incidence of PD was calculated by Kaplan-Meier analysis. Findings: 30% of patients with PD in this case-control sample were carriers of LRRK2 Gly2019Ser. The age of onset of symptoms and the clinical presentation of patients with LRRK2 Gly2019Ser were similar to those of patients with idiopathic PD. Carriers of LRRK2 Gly2019Ser were 22.6 times (95% CI 10.2-50.1) more likely to be affected by PD than non-carriers. Tremor was the predominant symptom in LRRK2 Gly2019Ser carriers (92% [homozygotes] vs 75% [heterozygotes] vs 69% [non-carriers]; Cochran-Armitage trend test p=0.0587). Disease severity, response to treatment, and disease duration were similar among LRRK2 Gly2019Ser homozygotes, heterozygotes, and non-carriers (p=0.85). Disease penetrance in LRRK2 Gly2019Ser carriers ranged from less than 20% in those younger than 50 years to greater than 80% at 70 years. Interpretation: The LRRK2 Gly2019Ser mutation in patients with PD is a useful aid to diagnosis. LRRK2 Gly2019Ser penetrance can vary but in most carriers PD seems an inevitable consequence of ageing. LRRK2 Gly2019Ser considerably increases susceptibility to neuronal degeneration, although the process might be mediated by many triggers. By contrast, idiopathic PD is rare before 50 years and the prevalence only increases to 4% in the oldest members of the population. Funding: GlaxoSmithKline; National Institutes of Health; and Mayo Foundation. [ABSTRACT FROM AUTHOR]