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Opioid analgesics are powerful pain relievers; however, over time, pain control diminishes as analgesic tolerance develops. The molecular mechanisms initiating tolerance have remained unresolved to date. We have previously shown that desensitization of the μ-opioid receptor and interaction with β-arrestins is controlled by carboxyl-terminal phosphorylation. Here we created knockin mice with a series of serine- and threonine-to-alanine mutations that render the receptor increasingly unable to recruit β-arrestins. Desensitization is inhibited in locus coeruleus neurons of mutant mice. Opioid-induced analgesia is strongly enhanced and analgesic tolerance is greatly diminished. Surprisingly, respiratory depression, constipation, and opioid withdrawal signs are unchanged or exacerbated, indicating that β-arrestin recruitment does not contribute to the severity of opioid side effects and, hence, predicting that G-protein-biased µ-agonists are still likely to elicit severe adverse effects. In conclusion, our findings identify carboxyl-terminal multisite phosphorylation as key step that drives acute μ-opioid receptor desensitization and long-term tolerance.

Delirium is a common complication seen after surgery and anesthesia, in particular in older patients. Although the etiology of postoperative delirium is only incompletely understood, various lines of evidence suggest that proinflammatory signaling from the peripheral site of inflammation to central nervous system results in a decrease of cerebral acetylcholine (ACh) levels thereby inducing neuroinflammation. To corroborate this theory, we applied an animal model for characterization of the neuroinflammatory response after partial hepatectomy (HPx). In this model, the surgery-induced decrease in cerebral ACh levels can be prevented by intraoperative application of physostigmine. Thus, ACh-associated changes in the expression and secretion of inflammation-related compounds can be assessed by comparing the results obtained after surgery, in physostigmine-treated and untreated controls. This way we were able to show that the decrease of cerebral ACh triggers increased secretion of IL-1β, IL-6, TNFα, MIP-2 (CCL3), RANTES, MCP1, IFNgamma, and IP-10. A gene array covering the expression of 370 inflammation-related genes indicated 13 candidates that are induced upon cerebral ACh decrease after HPx. Quantification of the changes in the expression of these candidates by the comparative C T method revealed a significant increase (> 1.5-fold) in the expression of IL-1β, IL-6, TNFα, MIP2, RANTES, MCP1, TLR2, TLR4, HMGB1, TNFSF6, TNFSF12, IL1R1 and ILR6. Thus, our results suggest that peripheral surgery induces a reduction of cerebral ACh levels which trigger a complex neuroinflammatory response. From a clinical point of view, manipulating cerebral ACh levels by procholinergic drugs such as physostigmine could become an option to therapeutically target this kind of neuroinflammation.

Synchronization is a central key feature of neural information processing and communication between different brain areas. Disturbance of oscillatory brain rhythms and decreased synchronization have been associated with different disorders including schizophrenia. The aim of this study was to investigate whether synchronization (in relaxed conditions with no stimuli) between different brain areas within the delta, theta, alpha (alpha1, alpha2), beta (beta1, beta2), and gamma bands is altered in patients with a neurological disorder in order to generate significant cortical enhancements. To achieve this, we investigated schizophrenic patients (SZO; N=17, 37.5±10.4 years, 15 males) and compared them to healthy subjects (CON; N=21, 36.7±13.4 years, 15 males) applying the phase locking value (PLV). We found significant differences between SZO and CON in different brain areas of the theta, alpha1, beta2 and gamma bands. These areas are related to the central and parietal lobes for the theta band, the parietal lobe for the alpha1, the parietal and frontal for the beta2 and the frontal-central for the gamma band. The gamma band revealed the most significant differences between CON and SZO. PLV were 61.7% higher on average in SZO in most of the clusters when compared to CON. The related brain areas are directly related to cognition skills which are proved to be impaired in SZO. The results of this study suggest that synchronization in SZO is also altered when the patients were not asked to perform a task that requires their cognitive skills (i.e., no stimuli are applied - in contrast to other findings).

Motivation: Imaging genetics combines brain imaging and genetic information to identify the relationships between genetic variants and brain activities. When the data samples belong to different classes (e.g. disease status), the relationships may exhibit class-specific patterns that can be used to facilitate the understanding of a disease. Conventional approaches often perform separate analysis on each class and report the differences, but ignore important shared patterns., Results: In this paper, we develop a multivariate method to analyze the differential dependency across multiple classes. We propose a joint sparse canonical correlation analysis method, which uses a generalized fused lasso penalty to jointly estimate multiple pairs of canonical vectors with both shared and class-specific patterns. Using a data fusion approach, the method is able to detect differentially correlated modules effectively and efficiently. The results from simulation studies demonstrate its higher accuracy in discovering both common and differential canonical correlations compared to conventional sparse CCA. Using a schizophrenia dataset with 92 cases and 116 controls including a single nucleotide polymorphism (SNP) array and functional magnetic resonance imaging data, the proposed method reveals a set of distinct SNP-voxel interaction modules for the schizophrenia patients, which are verified to be both statistically and biologically significant., Availability and Implementation: The Matlab code is available at https://sites.google.com/site/jianfang86/JSCCA CONTACT: wyp@tulane.eduSupplementary information: Supplementary data are available at Bioinformatics online., (© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.)

Borderline personality disorder (BPD) is associated with symptoms such as affect dysregulation, impaired sense of self, and self-harm behaviors. Neuroimaging research on BPD has revealed structural and functional abnormalities in specific brain regions and connections. However, little is known about the topological organizations of brain networks in BPD. We collected resting-state functional magnetic resonance imaging (fMRI) data from 20 patients with BPD and 10 healthy controls, and constructed frequency-specific functional brain networks by correlating wavelet-filtered fMRI signals from 82 cortical and subcortical regions. We employed graph-theory based complex network analysis to investigate the topological properties of the brain networks, and employed network-based statistic to identify functional dysconnections in patients. In the 0.03-0.06 Hz frequency band, compared to controls, patients with BPD showed significantly larger measures of global network topology, including the size of largest connected graph component, clustering coefficient, small-worldness, and local efficiency, indicating increased local cliquishness of the functional brain network. Compared to controls, patients showed lower nodal centrality at several hub nodes but greater centrality at several non-hub nodes in the network. Furthermore, an interconnected subnetwork in 0.03-0.06 Hz frequency band was identified that showed significantly lower connectivity in patients. The links in the subnetwork were mainly long-distance connections between regions located at different lobes; and the mean connectivity of this subnetwork was negatively correlated with the increased global topology measures. Lastly, the key network measures showed high correlations with several clinical symptom scores, and classified BPD patients against healthy controls with high accuracy based on linear discriminant analysis. The abnormal topological properties and connectivity found in this study may add new knowledge to the current understanding of functional brain networks in BPD. However, due to limitation of small sample sizes, the results of the current study should be viewed as exploratory and need to be validated on large samples in future works.

Objectives: One of the most prominent features of schizophrenia is relatively lower general cognitive ability (GCA). An emerging approach to understanding the roots of variation in GCA relies on network properties of the brain. In this multi-center study, we determined global characteristics of brain networks using graph theory and related these to GCA in healthy controls and individuals with schizophrenia., Methods: Participants (N=116 controls, 80 patients with schizophrenia) were recruited from four sites. GCA was represented by the first principal component of a large battery of neurocognitive tests. Graph metrics were derived from diffusion-weighted imaging., Results: The global metrics of longer characteristic path length and reduced overall connectivity predicted lower GCA across groups, and group differences were noted for both variables. Measures of clustering, efficiency, and modularity did not differ across groups or predict GCA. Follow-up analyses investigated three topological types of connectivity--connections among high degree "rich club" nodes, "feeder" connections to these rich club nodes, and "local" connections not involving the rich club. Rich club and local connectivity predicted performance across groups. In a subsample (N=101 controls, 56 patients), a genetic measure reflecting mutation load, based on rare copy number deletions, was associated with longer characteristic path length., Conclusions: Results highlight the importance of characteristic path lengths and rich club connectivity for GCA and provide no evidence for group differences in the relationships between graph metrics and GCA.

Stable neuropsychological deficits may provide a reliable basis for identifying etiological subtypes of schizophrenia. The aim of this study was to identify clusters of individuals with schizophrenia based on dimensions of neuropsychological performance, and to characterize their neural correlates. We acquired neuropsychological data as well as structural and functional magnetic resonance imaging from 129 patients with schizophrenia and 165 healthy controls. We derived eight cognitive dimensions and subsequently applied a cluster analysis to identify possible schizophrenia subtypes. Analyses suggested the following four cognitive clusters of schizophrenia: (1) Diminished Verbal Fluency, (2) Diminished Verbal Memory and Poor Motor Control, (3) Diminished Face Memory and Slowed Processing, and (4) Diminished Intellectual Function. The clusters were characterized by a specific pattern of structural brain changes in areas such as Wernicke's area, lingual gyrus and occipital face area, and hippocampus as well as differences in working memory-elicited neural activity in several fronto-parietal brain regions. Separable measures of cognitive function appear to provide a method for deriving cognitive subtypes meaningfully related to brain structure and function. Because the present study identified brain-based neural correlates of the cognitive clusters, the proposed groups of individuals with schizophrenia have some external validity., (Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.)

Many in vitro data have shown that the efficacy of several opioid drugs is correlated with differential mu-opioid (MOP) receptor phosphorylation. Label-free semiquantitative on-line nanoflow liquid chromatography-tandem mass spectrometry (nanoLC-MS/MS) analyses were performed to compare the endogenous MOP receptor phosphorylation patterns of mice administered with morphine, etonitazene and fentanyl. The analysis identified S363, T370 and S375 as phosphorylated residues in the carboxy-terminus. Only T370 and S375 were regulated by agonists, with a higher propensity to promote double phosphorylation for high efficacy agonists. Our study provides confirmation that differential agonist-driven multi-site phosphorylation of MOP receptor occurs in vivo and validate the use of MS to study endogenous GPCR phosphorylation., (Copyright © 2015 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.)

Mitochondria are key organelles for cellular energy production and cell death decisions. Consequently, a plethora of conditions which are toxic to cells are known to directly attack these organelles. However, mitochondria originating from different tissues differ in their sensitivity to toxic insults. Thus, in order to predict the potential organ-specific toxicity of a given drug or pathological condition at the mitochondrial level, test settings are needed that directly compare the responses and vulnerabilities of mitochondria from different organs. As a prerequisite for such test strategies, we provide here a robust, prompt, and easy-to-follow step-by-step protocol to simultaneously isolate functional and intact mitochondria from rat liver, kidney, heart, and brain. This isolation procedure ensures mitochondrial preparations of comparable purity and reproducible quantities which can be subsequently analyzed for organ-specific mitochondrial toxicity.

The purpose of this report is to describe the relationship between clinical rating assessments of borderline personality disorder (BPD) and regional brain metabolism as measured by positron emission tomography with fluorodeoxyglucuse-F18 (PET-FDG). Fourteen women with BPD underwent PET-FDG scanning in a medication-free state. Correlations were performed on a voxel-by-voxel basis with Buss-Durkee Hostility Index (BDHI) and the Zanarini Rating Scale for Borderline Personality Disorder (ZAN-BPD) which provides a score for BPD severity. There was a significant negative correlation between glucose metabolism in frontal brain areas and the BDHI. Correlations of brain metabolic changes and diagnostic behavioral rating scale scores (ZAN-BPD) were small and seen mostly in posterior areas. The assessment of the statistical relationship of the BDHI to brain regions was substantially more robust than the correlations of the total ZAN-BPD. This exploratory study illustrates regional metabolic values that are highly related to hostile behavior. Our findings replicate some prior studies that have identified a negative relationship between frontal metabolism and aggression in personality disorders. We have also identified a range of other areas that relate to both positive (representing increased drive) and negative (representing impaired control) hostility scores. The substantially greater correlations of the BDHI compared with the ZAN-BPD provide information about the neural underpinnings of BPD., (© 2013 Elsevier Ireland Ltd. All rights reserved.)

There is considerable evidence implicating brain white matter (WM) abnormalities in the pathophysiology of schizophrenia; however, the spatial localization of WM abnormalities reported in the existing studies is heterogeneous. Thus, the goal of this study was to quantify the spatial characteristics of WM abnormalities in schizophrenia. One hundred and fourteen patients with schizophrenia and 138 matched controls participated in this multisite study involving the Universities of Iowa, Minnesota, and New Mexico, and the Massachusetts General Hospital. We measured fractional anisotropy (FA) in brain WM regions extracted using 3 different image-processing algorithms: regions of interest, tract-based spatial statistics, and the pothole approach. We found that FA was significantly lower in patients using each of the 3 image-processing algorithms. The region-of-interest approach showed multiple regions with lower FA in patients with schizophrenia, with overlap at all 4 sites in the corpus callosum and posterior thalamic radiation. The tract-based spatial statistic approach showed (1) global differences in 3 of the 4 cohorts and (2) lower frontal FA at the Iowa site. Finally, the pothole approach showed a significantly greater number of WM potholes in patients compared to controls at each of the 4 sites. In conclusion, the spatial characteristics of WM abnormalities in schizophrenia reflect a combination of a global low-level decrease in FA, suggesting a diffuse process, coupled with widely dispersed focal reductions in FA that vary spatially among individuals (ie, potholes).

Expertly collected, well-curated data sets consisting of comprehensive clinical characterization and raw structural, functional and diffusion-weighted DICOM images in schizophrenia patients and sex and age-matched controls are now accessible to the scientific community through an on-line data repository (coins.mrn.org). The Mental Illness and Neuroscience Discovery Institute, now the Mind Research Network (MRN, http://www.mrn.org/ ), comprised of investigators at the University of New Mexico, the University of Minnesota, Massachusetts General Hospital, and the University of Iowa, conducted a cross-sectional study to identify quantitative neuroimaging biomarkers of schizophrenia. Data acquisition across multiple sites permitted the integration and cross-validation of clinical, cognitive, morphometric, and functional neuroimaging results gathered from unique samples of schizophrenia patients and controls using a common protocol across sites. Particular effort was made to recruit patients early in the course of their illness, at the onset of their symptoms. There is a relatively even sampling of illness duration in chronic patients. This data repository will be useful to 1) scientists who can study schizophrenia by further analysis of this cohort and/or by pooling with other data; 2) computer scientists and software algorithm developers for testing and validating novel registration, segmentation, and other analysis software; and 3) educators in the fields of neuroimaging, medical image analysis and medical imaging informatics who need exemplar data sets for courses and workshops. Sharing provides the opportunity for independent replication of already published results from this data set and novel exploration. This manuscript describes the inclusion/exclusion criteria, imaging parameters and other information that will assist those wishing to use this data repository.

Structural brain measures are employed as endophenotypes in the search for schizophrenia susceptibility genes. We analyzed two independent structural imaging datasets with voxel-based morphometry and with source-based morphometry, a multivariate, independent components analysis, to determine the stability and heritability of regional gray matter concentration abnormalities in schizophrenia. The samples comprised 209 and 102 patients with schizophrenia and 208 and 96 healthy volunteers, respectively. The second sample additionally included non-ill siblings of participants with and without schizophrenia. A standard voxel-based analysis showed reproducible regional gray matter deficits in the affected participants compared with unrelated, unaffected controls in both datasets: patients showed significant gray matter concentration deficits in cortical frontal, temporal, and insular lobes. Source-based morphometry (SBM) was applied to the gray matter images of the entire sample to determine the effects of diagnosis on networks of covarying structures. The SBM analysis extracted 24 significant sets of covarying regions (components). Four of these components showed significantly lower gray matter concentrations in patients (p < .05). We determined the familiality of the observed SBM components based on 66 sibling pairs (25 discordant for schizophrenia). Two components, one including the medial frontal, insular, inferior frontal, and temporal lobes, and the other including the posterior occipital lobe, showed significant familiality (p < .05). We conclude that structural brain deficits in schizophrenia are replicable, and that SBM can extract unique familial and likely heritable components. SBM provides a useful data reduction technique that can provide measures that may serve as endophenotypes for schizophrenia.

The majority of patients with schizophrenia smoke cigarettes. Both nicotine use and schizophrenia have been associated with alterations in brain white matter microstructure as measured by diffusion tensor imaging (DTI). The purpose of this study was to examine fractional anisotropy (FA) in smoking and non-smoking patients with schizophrenia and in healthy volunteers. A total of 43 patients (28 smoking and 15 non-smoking) with schizophrenia and 40 healthy, non-smoking participants underwent DTI. Mean FA was calculated in four global regions of interest (ROIs) (whole brain, cerebellum, brainstem, and total cortical) as well as in four regional ROIs (frontal, temporal, parietal and occipital lobes). The non-smoking patient group had a significantly higher intellectual quotient (IQ) compared with the patients who smoked, and our results varied according to whether IQ was included as a covariate. Without IQ correction, significant between-group effects for FA were found in four ROIs: total brain, total cortical, frontal lobe and the occipital lobe. In all cases the FA was lower among the smoking patient group, and highest in the control group. Smoking patients differed significantly from non-smoking patients in the frontal lobe ROI. However, these differences were no longer significant after IQ correction. FA differences between non-smoking patients and controls were not significant. Among smoking and non-smoking patients with schizophrenia but not healthy controls, FA was correlated with IQ. In conclusion, group effects of smoking on FA in schizophrenia might be mediated by IQ. Further, low FA in specific brain areas may be a neural marker for complex pathophysiology and risk for diverse problems such as schizophrenia, low IQ, and nicotine addiction., (Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.)

Neuropeptide S (NPS) is the endogenous ligand for GPR154, now referred to as neuropeptide S receptor (NPSR). Physiologically, NPS has been characterized as a modulator of arousal and has been shown to produce anxiolytic-like effects in rodents. Neuroanatomical analysis in the rat revealed that the NPS precursor mRNA is strongly expressed in the brainstem in only three distinct regions: the locus coeruleus area, the principal sensory trigeminal nucleus, and the lateral parabrachial nucleus. NPSR mRNA expression in the rat is widely distributed, with the strongest expression in the olfactory nuclei, amygdala, subiculum, and some cortical structures, as well as various thalamic and hypothalamic regions. Here we report a comprehensive map of NPS precursor and receptor mRNA expression in the mouse brain. NPS precursor mRNA is only expressed in two regions in the mouse brainstem: the Kölliker-Fuse nucleus and the pericoerulear area. Strong NPSR mRNA expression was found in the dorsal endopiriform nucleus, the intra-midline thalamic and hypothalamic regions, the basolateral amgydala, the subiculum, and various cortical regions. In order to elucidate projections from NPS-producing nuclei in the brainstem to NPSR-expressing structures throughout the brain, we performed immunohistochemical analysis in the mouse brain by using two polyclonal anti-NPS antisera. The distribution of NPS-immunopositive fibers overlaps well with NPSR mRNA expression in thalamic and hypothalamic regions. Mismatches between NPSR expression and NPS-immunoreactive fiber staining were observed in hippocampal, olfactory, and cortical regions. These data demonstrate that the distribution pattern of the central NPS system is only partially conserved between mice and rats., (Copyright © 2011 Wiley-Liss, Inc.)

Background: The immunohistochemical localization of the μ-opioid receptor (MOR, MOP) has been studied in detail in mouse and rat brain using a variety of polyclonal antibodies. However, biochemical analysis of the MOR signaling complex in vivo has been hampered by the lack of suitable monoclonal antibodies for efficient immunoprecipitation of the receptor protein from native sources. Moreover, previous immunohistochemical investigations were restricted to frozen sections from perfusion-fixed rodent brain, largely due to the limited availability of MOR antibodies that effectively stain paraffin-embedded tissues., Methods: Here, we extensively characterized the novel rabbit monoclonal anti-MOR antibody UMB-3 using transfected cells and MOR-deficient mice. UMB-3 was also subjected to a comparative immunohistochemical study of formalin-fixed, paraffin-embedded mouse and rat organ samples as well as human normal and neoplastic tissues., Results: Specificity of UMB-3 was demonstrated by detection of a broad band migrating at M(r) 70,000-80,000 in immunoprecipitates from crude brain homogenates of MOR+/+ mice but not of MOR⁻/⁻ mice; cell surface staining of MOR-transfected cells; translocation of MOR receptor immunostaining after agonist exposure; distinct immunostaining of neuronal cell bodies and fibers in MOR-expressing brain regions; absence of staining in MOR-deficient mice; and abolition of tissue immunostaining by preadsorption of UMB-3 with its immunizing peptide., Conclusions: The rabbit monoclonal antibody UMB-3 is an excellent tool for immunoprecipitation of MOR from native sources as well as for immunohistochemical staining of MOR in paraffin-embedded tissue samples of rodent and human origin., (Copyright © 2010. Published by Elsevier B.V.)

Background: Emerging evidence implicates white matter (WM) abnormalities in the pathophysiology of schizophrenia. However, there is considerable heterogeneity in the presentation of WM abnormalities in the existing studies. The object of this study was to evaluate WM integrity in a large sample of patients with first-episode (FE) and chronic schizophrenia in comparison to matched control groups. Our goal was to assess whether WM findings occurred early in the illness or whether these abnormalities developed with the illness over time., Methods: Participants included 114 patients with schizophrenia (31 FE and 83 chronic patients) and 138 matched controls. High-resolution structural and diffusion tensor images were obtained on all participants. Measures of fractional anisotropy (FA) were calculated for the 4 cortical lobes and the cerebellum and brain stem., Results: FA was significant lower in patients vs controls in the whole brain and individually in the frontal, parietal, occipital, and temporal lobes. FA was not significantly different in the brain stem or cerebellum. FA differences were significant only in patients with chronic schizophrenia and not in the FE group., Conclusions: We found global differences in the WM microstructure in patients with chronic but not FE schizophrenia. These findings suggest progressive alterations in WM microstructure.

A number of recent studies have combined multiple experimental paradigms and modalities to find relevant biological markers for schizophrenia. In this study, we extracted fMRI features maps from the analysis of three experimental paradigms (auditory oddball, Sternberg item recognition, sensorimotor) for a large number (n=154) of patients with schizophrenia and matched healthy controls. We used the general linear model (GLM) and independent component analysis (ICA) to extract feature maps (i.e. ICA component maps and GLM contrast maps), which were then subjected to a coefficient-constrained independent component analysis (CCICA) to identify potential neurobiological markers. A total of 29 different feature maps were extracted for each subject. Our results show a number of optimal feature combinations that reflect a set of brain regions that significantly discriminate between patients and controls in the spatial heterogeneity and amplitude of their feature signals. Spatial heterogeneity was seen in regions such as the superior/middle temporal and frontal gyri, bilateral parietal lobules, and regions of the thalamus. Most strikingly, an ICA feature representing a bilateral frontal pole network was consistently seen in the ten highest feature results when ranked on differences found in the amplitude of their feature signals. The implication of this frontal pole network and the spatial variability which spans regions comprising of bilateral frontal/temporal lobes and parietal lobules suggests that they might play a significant role in the pathophysiology of schizophrenia.

When both structural magnetic resonance imaging (sMRI) and functional MRI (fMRI) data are collected they are typically analyzed separately and the joint information is not examined. Techniques that examine joint information can help to find hidden traits in complex disorders such as schizophrenia. The brain is vastly interconnected, and local brain morphology may influence functional activity at distant regions. In this paper we introduce three methods to identify inter-correlations among sMRI and fMRI voxels within the whole brain. We apply these methods to examine sMRI gray matter data and fMRI data derived from an auditory sensorimotor task from a large study of schizophrenia. In Method 1 the sMRI-fMRI cross-correlation matrix is reduced to a histogram and results show that healthy controls (HC) have stronger correlations than do patients with schizophrenia (SZ). In Method 2 the spatial information of sMRI-fMRI correlations is retained. Structural regions in the cerebellum and frontal regions show more positive and more negative correlations, respectively, with functional regions in HC than in SZ. In Method 3 significant sMRI-fMRI inter-regional links are detected, with regions in the cerebellum showing more significant positive correlations with functional regions in HC relative to SZ. Results from all three methods indicate that the linkage between gray matter and functional activation is stronger in HC than SZ. The methods introduced can be easily extended to comprehensively correlate large data sets., (Copyright (c) 2009. Published by Elsevier Inc.)

Aim: Paediatric major depressive disorder (MDD) is associated with chronicity and poor outcomes. The goals of this review are (i) to integrate how developing biological systems contribute to the pathophysiology of paediatric MDD, and (ii) to consider the role of early intervention for depressed youth., Methods: A developmental perspective is applied herein to review and integrate key neurobiological systems that are implicated in paediatric MDD. We also review recent treatment research for adolescents with MDD., Results: Available evidence in paediatric and adult populations support an integrative model for the pathophysiology of MDD that involves fronto-limbic neural circuitry and the neuroendocrine stress response system. Evidence from treatment research supports the efficacy of available treatments modalities, including antidepressant medications, cognitive behavioral therapy, and their combination, for the majority of adolescents with moderate to severe MDD., Conclusions: Since the biological systems implicated in MDD mature through adolescence, adolescents may be more susceptible to developing depression but also may be more amenable to treatment interventions. Early identification and treatment of paediatric MDD may be able to divert negative trajectories and lead to improved outcomes., (© 2009 The Authors. Journal compilation © 2009 Blackwell Publishing Asia Pty Ltd.)

Regional gray matter (GM) abnormalities are well known to exist in patients with chronic schizophrenia. Voxel-based morphometry (VBM) has been previously used on structural magnetic resonance images (MRI) data to characterize these abnormalities. Two multisite schizophrenia studies, the Functional Biomedical Informatics Research Network and the Mind Clinical Imaging Consortium, which include 9 data collection sites, are evaluating the efficacy of pooling structural imaging data across imaging centers. Such a pooling of data could yield the increased statistical power needed to elucidate effects that may not be seen with smaller samples. VBM analyses were performed to evaluate the consistency of patient versus control gray matter concentration (GMC) differences across the study sites, as well as the effects of combining multisite data. Integration of data from both studies yielded a large sample of 503 subjects, including 266 controls and 237 patients diagnosed with schizophrenia, schizoaffective or schizophreniform disorder. The data were analyzed using the combined sample, as well as analyzing each of the 2 multisite studies separately. A consistent pattern of reduced relative GMC in schizophrenia patients compared with controls was found across all study sites. Imaging center-specific effects were evaluated using a region of interest analysis. Overall, the findings support the use of VBM in combined multisite studies. This analysis of schizophrenics and controls from around the United States provides continued supporting evidence for GM deficits in the temporal lobes, anterior cingulate, and frontal regions in patients with schizophrenia spectrum disorders.

The chemokine stromal cell-derived factor-1 (SDF-1) regulates neuronal development via the chemokine receptor CXCR4. In the adult brain the SDF-1/CXCR4 system was implicated in neurogenesis, neuromodulation, brain inflammation, tumor growth, and HIV encephalopathy. Until the recent identification of RDC1/CXCR7 as the second SDF-1 receptor, CXCR4 was considered to be the only receptor for SDF-1. Here we provide the first map of CXCR7 mRNA expression in the embryonic and adult rat brain. At embryonic stages, CXCR7 and CXCR4 were codistributed in the germinative zone of the ganglionic eminences, caudate putamen, and along the routes of GABAergic precursors migrating toward the cortex. In the cortex, CXCR7 was identified in GABAergic precursors and in some reelin-expressing Cajal-Retzius cells. Unlike CXCR4, CXCR7 was abundant in neurons forming the cortical plate and sparse in the developing dentate gyrus and cerebellar external germinal layer. In the adult brain, CXCR7 was expressed by blood vessels, pyramidal cells in CA3, and mature dentate gyrus granule cells, which is reminiscent of the SDF-1 pattern. CXCR7 and CXCR4 overlapped in the wall of the four ventricles. Further neuronal structures expressing CXCR7 comprised the olfactory bulb, accumbens shell, supraoptic and ventromedial hypothalamic nuclei, medial thalamus, and brain stem motor nuclei. Also, GLAST-expressing astrocytes showed signals for CXCR7. Thus, CXCR4 and CXCR7 may cooperate or act independently in SDF-1-dependent neuronal development. In mature neurons and blood vessels CXCR7 appears to be the preponderant SDF-1-receptor., ((c) 2008 Wiley-Liss, Inc.)

Expression patterns of the second SDF-1 receptor RDC1/CXCR7 were examined after focal ischemia in rats using in situ hybridization. CXCR7 mRNA was identified in the ventricle walls as well as neuronal, astroglial, and vascular cells. After ischemia, intact cortical regions showed a rapid, 4 days-lasting increase in neuronal CXCR7 expression. In the ischemic tissue CXCR7 expression was scarce and associated with blood vessels. Between days 2 and 10 after ischemia-onset, SDF-1 expression increased strongly in the peri-infarct and infarct region, which was accompanied by the appearance of numerous CXCR4-expressing but not CXCR7-expressing cells. These patterns suggest that SDF-1 may influence vascular, astroglial, and neuronal functions via CXCR7 and mediate cell recruitment to ischemic brain areas via CXCR4.

Studies of adults with schizophrenia provide converging evidence for abnormalities in the limbic system. Limbic structures that show consistent patient/control differences in both postmortem and neuroimaging studies include the anterior cingulate and hippocampus, although differences in the amygdala, parahippocampal gyrus, and fornix have also been observed. Studies of white matter in children and adolescents with schizophrenia tend to show findings that are more focal than those seen in adults. Interestingly, these focal abnormalities in early-onset schizophrenia tend to be more localized to limbic regions. While it is unclear if these early limbic abnormalities are primary in the etiology of schizophrenia, there is evidence that supports a developmental progression with early limbic abnormalities evolving over time to match the neuroimaging profiles seen in adults with schizophrenia. Alternatively, the aberrations in limbic structures may be secondary to a more widespread or global pathological processes occurring with the brain that disrupt neural transmission. The goal of this article is to provide a review of the limbic system and limbic network abnormalities reported in children and adolescents with schizophrenia. These findings are compared with the adult literature and placed within a developmental context. These observations from neuroimaging studies enrich our current understanding of the neurodevelopmental model of schizophrenia and raise further questions about primary vs secondary processes. Additional research within a developmental framework is necessary to determine the putative etiologic roles for limbic and other brain abnormalities in early-onset schizophrenia.

Using peptide affinity purification, we identified an interaction between somatostatin receptors SSTR4 and SSTR1 and PDZ domains 1 and 2 of the postsynaptic proteins postsynaptic density protein of 95kDa (PSD-95) and PSD-93. The existence of the SSTR4/PSD-95 complex was verified by coimmunoprecipitation from transfected cells and solubilized brain membranes. In neurons, dendritically localized SSTR4 partially colocalizes with postsynaptic PSD-95. As functional parameters of the receptor, such as coupling to potassium channels, are not affected by the interaction with PSD-95, the association may serve to localize the receptor to postsynaptic sites.

The chemoattractant stromal cell-derived factor-1 (SDF-1) and its receptor CXC chemokine receptor 4 (CXCR4) are key modulators of immune function. In the developing brain, SDF-1 is crucial for neuronal guidance; however, cerebral functions of SDF-1/CXCR4 in adulthood are unclear. Here, we examine the cellular expression of SDF-1 isoforms and CXCR4 in the brain of mice receiving systemic lipopolysaccharide (LPS) or permanent focal cerebral ischemia. CXCR4 mRNA was constitutively expressed in cortical and hippocampal neurons and ependymal cells. Hippocampal neurons targeted the CXCR4 receptor to their somatodendritic and axonal compartments. In cortex and hippocampus, CXCR4-expressing neurons exhibited an overlapping distribution with neurons expressing SDF-1 transcripts. Although neurons synthesized SDF-1alpha mRNA, the SDF-1beta isoform was selectively expressed by endothelial cells of cerebral microvessels. LPS stimulation dramatically decreased endothelial SDF-1beta mRNA expression throughout the forebrain but did not affect neuronal SDF-1alpha. After focal cerebral ischemia, SDF-1beta expression was selectively increased in endothelial cells of penumbral blood vessels and decreased in endothelial cells of nonlesioned brain areas. In the penumbra, SDF-1beta upregulation was associated with a concomitant infiltration of CXCR4-expressing peripheral blood cells, including macrophages. Neuronal SDF-1alpha was transiently downregulated and neuronal CXCR4 was transiently upregulated in the nonlesioned cerebral cortex in response to ischemia. Although endothelial SDF-1beta may control cerebral infiltration of CXCR4-carrying leukocytes during cerebral ischemia, the neuronal SDF-1alpha/CXCR4 system may contribute to ischemia-induced neuronal plasticity. Thus, the isoform-specific regulation of SDF-1 expression modulates neurotransmission and cerebral infiltration via distinct CXCR4-dependent pathways.

Several reports have noted an increase in white matter hyperintensities (WMH) on MRI scans of adult patients with bipolar disorder. We investigated whether this increase was also evident in a group of adolescent patients with bipolar disorder. The sample consisted of 15 bipolar patients, 19 patients with schizophrenia and 16 healthy comparison subjects. All subjects were adolescents. WMH were blindly rated on T2-weighted and PD-weighted MRI scans using our own scale with documented inter-rater reliability. WMH were present in 10 of 15 bipolar patients (67%), seven of 19 patients with schizophrenia (37%) and five of 16 comparison subjects (31%). The bipolar adolescent group had a statistically significant increased presence of WMH compared both with healthy comparison subjects and the schizophrenic group. The association between WMH and bipolar disorder appears to extend to the adolescent years.

Although patients with schizophrenia have reduced brain size, there is no conclusive evidence that they have reduced head size. This begs the question: 'What is the precise relationship between head size and brain size?' We used a unique osteological collection to explore the relationship between external head measures and cranial capacity. The external measures accounted for, at most, 60% of the variance in cranial capacity - a value low enough to question the oft-assumed tight relationship between head measures and brain size. Obviously, various tissues and spaces [skull, sinus, muscle (frontalis, temporalis and occipitalis), subcutaneous fat and epidermal layers] contribute to head size without contributing to brain volume. The contribution of these other tissues and spaces tends to decrease the signal and increase the noise in the estimation of brain volume. Thus, it is understandable that patients with schizophrenia can have reduced cranial capacity and not reduced head size.

Background: There are few imaging studies in adolescent patients with either schizophrenia or bipolar disorder. Such studies are of interest because adolescents may have a more severe illness and neurodevelopmental events may have a greater role in their pathophysiology., Methods: We compared 20 patients with schizophrenia and 15 patients with bipolar disorder (10 to 18 years) to 16 normal adolescents on magnetic resonance imaging (MRI) measures of intracranial volume and ventricular and sulcal enlargement. Two planned comparison contrasts were employed, one comparing the two patient groups to each other (contrast 1), and one comparing both patient groups combined to control subjects (contrast 2)., Results: None of the contrast 1 comparisons (schizophrenia vs bipolar) were statistically significant. Contrast 2 comparisons (control subjects vs patients) were statistically significant for intracranial volume (reduced in patients) as well as frontal and temporal sulcal size (increased in patients)., Conclusions: The patient groups were not statistically significantly different from each other on any measure. The combined patient groups were different from control subjects on intracranial volume and frontal and temporal sulcal size. Also, there was evidence for ventricular enlargement, after removal of a control subject with an extreme value. These findings indicate that the same abnormalities noted in adult populations are present in adolescents.

A recent meta-analysis concluded that patients with schizophrenia have reduced cerebral volume, and this finding has been used to implicate neurodevelopmental events in the etiology of this disorder. Since bipolar-disorder patients and schizophrenia patients have some similar brain abnormalities, it was of interest to meta-analytically review the literature on brain size in bipolar disorder. Only seven studies met the inclusion/exclusion criteria for our meta-analysis, but none reported the brain size differences between the bipolar patients and the controls to be statistically significant. The composite effect size was a negligible 0.04 (95% CI: -0.17 to 0.25) and statistically not significantly different from 0.0 (no effect). Thus, it appears that bipolar disorder is not associated with the same cerebral volume reductions noted in schizophrenia. Implications for hypotheses regarding the etiology of the two disorders are discussed.

Cortistatin (CST-14) is a recently discovered endogenous peptide which shares similarity to somatostatin and binds to somatostatin receptors. In this study, we show that CST-14 exhibits anticonvulsive and neuroprotective effects in rats. Injection of rats with kainic acid (KA; 10 mg/kg; i.p.) generated a strong seizure activity which was attenuated by the i.c.v. application of 1 and 10 nmol CST-14 when given 10 min before KA. Moreover, 3 days after KA injection, a marked loss of neurons in cortex and hippocampus of rats was observed which was inhibited by pretreatment with CST-14. An immunohistochemical analysis using specific antibodies revealed that KA reduced immunoactive sst2A and sst3 somatostatin receptors in the hippocampus-an effect which was largely prevented by pretreatment with CST-14. Superfusion of hippocampal slices with CST-14 also reduced the stimulated release of 3H-d-aspartate. We conclude that CST-14 exerts neuroprotective effects by binding to somatostatin receptors which in turn leads to a reduced release of excitotoxic neurotransmitters., (Copyright 1998 Elsevier Science B.V.)

There are many inconsistencies in the literature about the cellular and subcellular distribution of the endothelial isoform of nitric oxide synthase (eNOS) in the brain. We have re-investigated its localization by light and electron microscopical (LM, EM) immunocytochemistry and the NADPH-diaphorase reaction. Using bovine aortic tissue as a positive control the protocols for the fixation and staining procedure were optimized. Only cryosections immersion-fixed with aceton and a mixture of aldehydes exhibited a clear-cut immunostaining. In rat brain tissue the endothelium of the entire vasculature showed immunoreactivity and, in addition to that, the epithelial cells of the choroid plexuses, whereas neurons never displayed any signs of immunostaining. EM immunoprecipitates were seen irregularly distributed in the cytosol or attached to endocellular membranes. EM NADPH-diaphorase histochemistry using the tetrazolium salt BSPT provided incoherent pictures in so far as the reaction product was exclusively bound to membranes. The restriction of eNOS within brain tissue to the vasculature may have implications for the differential significance of NOS isoforms in brain function.

Several meta-analyses are presented that address the issue of brain and/or cranial size reductions in schizophrenia. Separate meta-analyses were conducted for brain size (n = 27 studies), intracranial size (n = 18) or extracranial size (n = 8). For each meta-analysis, the weighted composite effect size (d) was tested for statistical significance (the direction of the effect size was negative if patients with schizophrenia had smaller structure size than controls). The influence of several potential modifiers of effect size (age, methods, region, gender) was individually evaluated. The composite effect sizes for studies of brain, intracranial and extracranial measures were d = -0.26, (p < 0.0001), d = -0.18, (p = 0.0012), and d = +0.14, (p = 0.16), respectively. Thus, the review found evidence for a small, but statistically significant reduction in brain and intracranial size in schizophrenia, but no evidence for a reduction in extracranial size. Studies based on axial image slices had significantly larger effects (d = -0.60) than the studies based on sagittal images (d = -0.09) (chi(2) = 14.0, p = 0.0002). In summary, the findings clearly support a small yet highly significant reduction of brain and intracranial size in schizophrenia.

This paper reviews all relevant articles that reported structural neuroimaging or neuropsychological data in adolescent patients with schizophrenia. These papers were subsequently examined from a methodological perspective. Few papers have been written that have examined whether adolescent schizophrenia is associated with structural neuroimaging abnormalities or cognitive dysfunction. In these studies, major methodologic issues exist. Therefore, at present, firm conclusions cannot be made regarding the presence or absence of neuropsychologic dysfunction or structural neuroimaging abnormalities in this population. Attention to certain methodologic issues may improve future studies of this topic.

The purpose of the present study was to define the late effects, both physical and psychological, of treating low-grade astrocytomas with radiotherapy. Fifty patients, half of whom received radiotherapy, underwent an assessment of neurological and neuropsychological function. There was no difference in neurological function between the two groups. The radiotherapy recipients, including those with cerebellar tumours, performed significantly worse on measures of intelligence and information processing. In addition, there was a greater incidence of special education needs in the irradiated group. We conclude that children with low-grade astrocytomas who receive radiotherapy have no greater neurological deficit but that the use of radiotherapy carries a penalty in terms of long-term cognitive function and confirmed the findings of many previous reports that supratentorial irradiation is detrimental. More surprisingly, it has been demonstrated that local field irradiation to the posterior fossa can also produce significant cognitive impairment.

Over the last decade, a number of studies have attempted to relate brain morphology to treatment response to neuroleptics. This approach has scientific potential to define subtypes of schizophrenia as well as potential clinical utility. In the present report, a review of 33 studies, including a meta-analysis, is provided. Although the overall test of the effect was not significant, the analysis revealed marked heterogeneity in the results of the various studies. The following factors were significant predictors of effect size: age, illness duration and age of onset of the patient cohort, the percentage of patients with marked structural abnormality included in the study overall, the duration of treatment and the degree of symptom improvement in the study overall. The following factors were unrelated to study effect size: date of study, gender, and the presence of a washout period. In future studies, attention to the parameters utilized in the meta-analysis should help to clarify the strength and generality of the relationship between brain morphology and treatment response.

Recent research has demonstrated statistically significant differences between the ventricular-brain ratios (VBRs) of schizophrenic patients and control subjects. In this study the VBRs of teenage schizophrenic/schizophreniform patients (N = 15) and borderline patients (N = 8) were measured and compared with those of controls of similar ages (N = 18). The schizophrenic group had significantly larger ventricles than the other two groups (p less than .0001). These findings support the hypothesis of previous investigators that ventricular enlargement is present early in the course of schizophrenia.

Background: The differential diagnosis between schizophrenia and bipolar disorder during adolescence presents a major clinical problem. Can these two diagnoses be differentiated objectively early in the courses of illness? Methods: We used linear discrimination analysis (LDA) to classify 28 adolescent subjects into one of three diagnostic categories (healthy, N=8; schizophrenia, N=10; bipolar, N=10) using subsets from a pool of 45 variables as potential predictors (22 neuropsychological test scores and 23 quantitative structural brain measurements). The predictor variables were adjusted for age, gender, race, and psychotropic medication. All possible subsets composed of k=2-12 variables, from the set of 45 variables available, were evaluated using the robust leaving-one-subject-out method. Results: The highest correct classification (96%) of the 3 diagnostic categories was yielded by 9 sets of k=12 predictors, comprising both neuropsychological and brain structural measures. Although each one of these sets misclassified one case, each set correctly classified (100%) at least one group, such that a fully correct diagnosis could be reached by a tree-type decision procedure. Conclusions: We conclude that LDA with 12 predictor variables can provide correct and robust classification of subjects into the three diagnostic categories above. This robust classification relies upon both neuropsychological and brain structural information. Our results demonstrate that, despite overlapping clinical symptoms, schizophrenia and bipolar disorder can be differentiated early in the course of disease. This finding has two important implications. Firstly, schizophrenia and bipolar disorder are different illnesses. If schizophrenia and bipolar are dissimilar clinical manifestations of the same disease, we would not be able to use non-clinical information to classify ('diagnose') schizophrenia and bipolar disorder. Secondly, if this study's findings are replicated, brain structure (MRI) and brain function (neuropsychological) used together may be useful in the diagnosis of new patients. [ABSTRACT FROM AUTHOR]