26 research outputs found

    Fusion analysis of first episode depression: where brain shape deformations meet local composition of tissue.

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    Computational neuroanatomical techniques that are used to evaluate the structural correlates of disorders in the brain typically measure regional differences in gray matter or white matter, or measure regional differences in the deformation fields required to warp individual datasets to a standard space. Our aim in this study was to combine measurements of regional tissue composition and of deformations in order to characterize a particular brain disorder (here, major depressive disorder). We use structural Magnetic Resonance Imaging (MRI) data from young adults in a first episode of depression, and from an age- and sex-matched group of non-depressed individuals, and create population gray matter (GM) and white matter (WM) tissue average templates using DARTEL groupwise registration. We obtained GM and WM tissue maps in the template space, along with the deformation fields required to co-register the DARTEL template and the GM and WM maps in the population. These three features, reflecting tissue composition and shape of the brain, were used within a joint independent-components analysis (jICA) to extract spatially independent joint sources and their corresponding modulation profiles. Coefficients of the modulation profiles were used to capture differences between depressed and non-depressed groups. The combination of hippocampal shape deformations and local composition of tissue (but neither shape nor local composition of tissue alone) was shown to discriminate reliably between individuals in a first episode of depression and healthy controls, suggesting that brain structural differences between depressed and non-depressed individuals do not simply reflect chronicity of the disorder but are there from the very outset

    Taking on a Community Solutions Process (Co-Solve) to the Pain and Opioid Epidemic: A Multi-disciplinary and Multi-institute Pain Panel and Community Response in Sacramento, California

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    America’s healthcare providers and patients are challenged by an overwhelming high prevalence of chronic pain and opioid misuse. Approximately 23.4 million adults suffer from daily pain and in 2014, nearly 61% of Americans who died from drug overdoses used an opioid analgesic. Unrecognized addiction, untreated psychiatric comorbidity, and lack of training/education for providers and patients are factors associated with chronic pain and opioid misuse. Communication strategies and structures are required to enhance collaboration between multidisciplinary providers and institutions. On September 28, 2017, an open panel discussion with pain specialists from three major academic and medical institutes in Sacramento, California initiated an integrative community solutions process to optimize pain education best practices and to protect public health. The attendees represented a wide range of healthcare disciplines. This commentary describes ideas derived from dialogue between community attendees and panelists, which considers both healthcare provider characteristics and patients’ cultural backgrounds. Providers of most disciplines underscored the need to share information and institute cross-disciplinary training on pain and behavioral health treatments. In conclusion, we outline an integrative community-based framework, namely the Community Solutions Process (Co-Solve), to help other communities to implement and derive their own action-oriented solutions unique to their population

    Coenzyme Q10 Insufficiency Contributes to the Duration and Frequency of Seizures in Epileptic Patients

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    Introduction: Oxidative stress has recently emerged as a possible mechanism in the pathogenesis of epilepsy. Coenzyme Q10 (CoQ10) is a strong endogenous antioxidant that protects cells from lipid oxidation and Reactive Oxygen Species (ROS) production; however, the impact of CoQ10 on seizure characteristics in epileptic patients is unclear. Methods: The current study enrolled patients with Epileptic Seizure (ES) to evaluate their serum concentration of CoQ10 and to investigate whether a relationship exists between CoQ10 levels with the duration, frequency, and type of seizure.  Results: A total of 39 patients with epileptic seizures and 35 healthy controls were included in the study. The levels of CoQ10 in ES patients were significantly lower in comparison with healthy controls (11.99±5.93 vs (ng/ml). 16.48±4.20 (ng/ml) P<0.001). We also found that the duration of epilepsy and seizure frequency was negatively correlated with serum CoQ10 levels. Conclusion: These findings indicate that CoQ10 deficiency might substantially contribute to the clinical signs of epileptic patients

    Temporal-lobe morphology differs between healthy adolescents and those with early-onset of depression

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    Major depressive disorder (MDD) has previously been linked to structural changes in several brain regions, particularly in the medial temporal lobes (Bellani, Baiano, Brambilla, 2010; Bellani, Baiano, Brambilla, 2011). This has been determined using voxel-based morphometry, segmentation algorithms, and analysis of shape deformations (Bell-McGinty et al., 2002; Bergouignan et al., 2009; Posener et al., 2003; Vasic et al., 2008; Zhao et al., 2008): these are methods in which information related to the shape and the pose (the size, and anatomical position and orientation) of structures is lost. Here, we incorporate information about shape and pose to measure structural deformation in adolescents and young adults with and without depression (as measured using the Beck Depression Inventory and Diagnostic and Statistical Manual of Mental Disorders criteria). As a hypothesis-generating study, a significance level of p less than 0.05, uncorrected for multiple comparisons, was used, so that subtle morphological differences in brain structures between adolescent depressed individuals and control participants could be identified. We focus on changes in cortical and subcortical temporal structures, and use a multi-object statistical pose and shape model to analyze imaging data from 16 females (aged 16-21) and 3 males (aged 18) with early-onset MDD, and 25 female and 1 male normal control participants, drawn from the same age range. The hippocampus, parahippocampal gyrus, putamen, and superior, inferior and middle temporal gyri in both hemispheres of the brain were automatically segmented using the LONI Probabilistic Brain Atlas (Shattuck et al., 2008) in MNI space. Points on the surface of each structure in the atlas were extracted and warped to each participants structural MRI. These surface points were analyzed to extract the pose and shape features. Pose differences were detected between the two groups, particularly in the left and right putamina, right hippocampus, and left and right inferior temporal gyri. Shape differences were detected between the two groups, particularly in the left hippocampus and in the left and right parahippocampal gyri. Furthermore, pose measures were significantly correlated with BDI score across the whole (clinical and control) sample. Since the clinical participants were experiencing their very first episodes of MDD, morphological alteration in the medial temporal lobe appears to be an early sign of MDD, and is unlikely to result from treatment with antidepressants. Pose and shape measures of morphology, which are not usually analyzed in neuromorphometric studies, appear to be sensitive to depressive symptomatology.Funding Agencies|Canadian Institutes of Health Research [MOP-79320]; Natural Sciences and Engineering Research Council of Canada; Advisory Research Council of Queens University [380327]</p

    Temporal-lobe morphology differs between healthy adolescents and those with early-onset of depression

    Get PDF
    Major depressive disorder (MDD) has previously been linked to structural changes in several brain regions, particularly in the medial temporal lobes (Bellani, Baiano, Brambilla, 2010; Bellani, Baiano, Brambilla, 2011). This has been determined using voxel-based morphometry, segmentation algorithms, and analysis of shape deformations (Bell-McGinty et al., 2002; Bergouignan et al., 2009; Posener et al., 2003; Vasic et al., 2008; Zhao et al., 2008): these are methods in which information related to the shape and the pose (the size, and anatomical position and orientation) of structures is lost. Here, we incorporate information about shape and pose to measure structural deformation in adolescents and young adults with and without depression (as measured using the Beck Depression Inventory and Diagnostic and Statistical Manual of Mental Disorders criteria). As a hypothesis-generating study, a significance level of p less than 0.05, uncorrected for multiple comparisons, was used, so that subtle morphological differences in brain structures between adolescent depressed individuals and control participants could be identified. We focus on changes in cortical and subcortical temporal structures, and use a multi-object statistical pose and shape model to analyze imaging data from 16 females (aged 16-21) and 3 males (aged 18) with early-onset MDD, and 25 female and 1 male normal control participants, drawn from the same age range. The hippocampus, parahippocampal gyrus, putamen, and superior, inferior and middle temporal gyri in both hemispheres of the brain were automatically segmented using the LONI Probabilistic Brain Atlas (Shattuck et al., 2008) in MNI space. Points on the surface of each structure in the atlas were extracted and warped to each participants structural MRI. These surface points were analyzed to extract the pose and shape features. Pose differences were detected between the two groups, particularly in the left and right putamina, right hippocampus, and left and right inferior temporal gyri. Shape differences were detected between the two groups, particularly in the left hippocampus and in the left and right parahippocampal gyri. Furthermore, pose measures were significantly correlated with BDI score across the whole (clinical and control) sample. Since the clinical participants were experiencing their very first episodes of MDD, morphological alteration in the medial temporal lobe appears to be an early sign of MDD, and is unlikely to result from treatment with antidepressants. Pose and shape measures of morphology, which are not usually analyzed in neuromorphometric studies, appear to be sensitive to depressive symptomatology.Funding Agencies|Canadian Institutes of Health Research [MOP-79320]; Natural Sciences and Engineering Research Council of Canada; Advisory Research Council of Queens University [380327]</p

    Exploiting Localized Surface Binding Effects to Enhance the Catalytic Reactivity of Peptide-Capped Nanoparticles

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    Peptide-based methods represent new approaches to selectively produce nanostructures with potentially important functionality. Unfortunately, biocombinatorial methods can only select peptides with target affinity and not for the properties of the final material. In this work, we present evidence to demonstrate that materials-directing peptides can be controllably modified to substantially enhance particle functionality without significantly altering nanostructural morphology. To this end, modification of selected residues to vary the site-specific binding strength and biological recognition can be employed to increase the catalytic efficiency of peptide-capped Pd nanoparticles. These results represent a step toward the <i>de novo</i> design of materials-directing peptides that control nanoparticle structure/function relationships

    Barriers to condom use among women at risk of HIV/AIDS: a qualitative study from Iran

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    <p>Abstract</p> <p>Background</p> <p>The growing trend of women infected with HIV through sexual transmission is alarming. Factors influencing condom use have not yet been fully identified, especially in countries with conservative cultures and backgrounds. The present study aimed to explore the barriers of condom use in Iranian women at risk of HIV.</p> <p>Methods</p> <p>Using the grounded theory methodology, participants’ experiences and their perceptions regarding condom were collected during semi structured in depth interviews. Participants were 22 women, aged 21–49 years, considered to be at risk for HIV, due to their own or their partner’s sexual behaviors. Qualitative analysis of the data was conducted manually and was guided by constant comparative analysis.</p> <p>Results</p> <p>Two main barriers, personal and socio-environmental emerged from data analysis. Lack of perceived threat, absence of protective motivation, inadequate knowledge, perceived lack of control, negative attitudes towards condom and misperception were the major personal barriers, while unsupportive environments and cultural norms were the common socio-environmental barriers to condom use among these at risk women.</p> <p>Conclusions</p> <p>These critical barriers have to be addressed for implementing effective prevention programs against HIV among populations at risk for HIV.</p
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