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        <title>Clinical Neuroscience Research via MedWorm.com</title>
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        <lastBuildDate>Sat, 10 Oct 2009 19:29:47 +0100</lastBuildDate>
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            <title>Contents to Volume 6</title>
            <link>http://www.medworm.com/index.php?rid=2347164&amp;cid=s_38453_168_f&amp;fid=38453&amp;url=http%3A%2F%2Fwww.journals.elsevierhealth.com%2Fperiodicals%2Fclires%2Farticle%2FPIIS1566277207000217%2Fabstract%3Frss%3Dyes</link>
            <description>(Source: Clinical Neuroscience Research)</description>
            <author>Clinical Neuroscience Research</author>
            <type>journals</type>
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            <pubDate>Thu, 01 Nov 2007 04:00:00 +0100</pubDate>
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            <title>Subject Index to Volume 6</title>
            <link>http://www.medworm.com/index.php?rid=2347163&amp;cid=s_38453_168_f&amp;fid=38453&amp;url=http%3A%2F%2Fwww.journals.elsevierhealth.com%2Fperiodicals%2Fclires%2Farticle%2FPIIS1566277207000205%2Fabstract%3Frss%3Dyes</link>
            <description>(Source: Clinical Neuroscience Research)</description>
            <author>Clinical Neuroscience Research</author>
            <type>journals</type>
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            <pubDate>Thu, 01 Nov 2007 04:00:00 +0100</pubDate>
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            <title>Author Index to Volume 6</title>
            <link>http://www.medworm.com/index.php?rid=2347162&amp;cid=s_38453_168_f&amp;fid=38453&amp;url=http%3A%2F%2Fwww.journals.elsevierhealth.com%2Fperiodicals%2Fclires%2Farticle%2FPIIS1566277207000199%2Fabstract%3Frss%3Dyes</link>
            <description>(Source: Clinical Neuroscience Research)</description>
            <author>Clinical Neuroscience Research</author>
            <type>journals</type>
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            <pubDate>Thu, 01 Nov 2007 04:00:00 +0100</pubDate>
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            <title>A network approach to fMRI condition-dependent cognitive activation studies as applied to understanding sex differences</title>
            <link>http://www.medworm.com/index.php?rid=2347161&amp;cid=s_38453_168_f&amp;fid=38453&amp;url=http%3A%2F%2Fwww.journals.elsevierhealth.com%2Fperiodicals%2Fclires%2Farticle%2FPIIS1566277207000060%2Fabstract%3Frss%3Dyes</link>
            <description>Abstract: Network approaches to analysis of functional neuroimaging data provide a powerful means with which to understand the complex functioning of the brain in health and disease. To illustrate how such approaches can be used to investigate sex differences in neurocognition, we applied the multivariate technique of Principal Components Analysis (PCA) to an fMRI dataset obtained during performance of mental rotation – a classic visuospatial task known to give rise to sex differences in performance. In agreement with prior results obtained using univariate methods, PCA identified a core mental rotation network (principal component [PC]1, accounting for 53.1% of total variance) that included activation of bilateral frontal, parietal, occipital and occipitotemporal regions. Expression of ...</description>
            <author>Clinical Neuroscience Research</author>
            <type>journals</type>
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            <pubDate>Thu, 01 Nov 2007 04:00:00 +0100</pubDate>
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            <title>Neural network approaches and their reproducibility in the study of verbal working memory and Alzheimer’s disease</title>
            <link>http://www.medworm.com/index.php?rid=2347160&amp;cid=s_38453_168_f&amp;fid=38453&amp;url=http%3A%2F%2Fwww.journals.elsevierhealth.com%2Fperiodicals%2Fclires%2Farticle%2FPIIS1566277207000059%2Fabstract%3Frss%3Dyes</link>
            <description>Abstract: As clinical and cognitive neurosciences mature, the need for sophisticated neuroimaging analysis becomes more apparent. Multivariate analysis techniques have recently received increasing attention because they have attractive features that cannot be easily realized by the more commonly used univariate, voxel-wise, techniques. Multivariate approaches evaluate correlation/covariance of activation across brain regions, rather than proceeding on a voxel-by-voxel basis. Thus, their results can be more easily interpreted as a signature of neural networks. Univariate approaches, in contrast, cannot directly address functional connectivity in the brain. Apart from this conceptual difference, the covariance approach can also result in greater statistical power when compared with univariat...</description>
            <author>Clinical Neuroscience Research</author>
            <type>journals</type>
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            <pubDate>Thu, 01 Nov 2007 04:00:00 +0100</pubDate>
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            <title>Multivariate analysis: Applications to the study of hereditary movement disorders</title>
            <link>http://www.medworm.com/index.php?rid=2347159&amp;cid=s_38453_168_f&amp;fid=38453&amp;url=http%3A%2F%2Fwww.journals.elsevierhealth.com%2Fperiodicals%2Fclires%2Farticle%2FPIIS1566277207000035%2Fabstract%3Frss%3Dyes</link>
            <description>Abstract: Idiopathic torsion dystonia and Huntington’s disease represent autosomal dominant inherited hyperkinetic disorders that vary considerably with regard to pathologic mechanisms and clinical penetrance. To study these mechanisms, non-manifesting DYT1 mutation carriers (nmDYT1) and presymptomatic HD gene carriers (p-HD), as well as age-matched controls were scanned with (i) FDG PET in the resting state, and (ii) 15O-labeled water PET while performing a motor sequence learning task and motor execution task. We used voxel-based principal components analysis (PCA) to isolate the effects of genotype on regional metabolism in the resting state and on patterns of activation during motor performance.We detected two specific genotype-related metabolic patterns in the resting state. The tor...</description>
            <author>Clinical Neuroscience Research</author>
            <type>journals</type>
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            <pubDate>Thu, 01 Nov 2007 04:00:00 +0100</pubDate>
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            <title>Identifying functional imaging markers of mild cognitive impairment in early Alzheimer’s and Parkinson’s disease using multivariate analysis</title>
            <link>http://www.medworm.com/index.php?rid=2347158&amp;cid=s_38453_168_f&amp;fid=38453&amp;url=http%3A%2F%2Fwww.journals.elsevierhealth.com%2Fperiodicals%2Fclires%2Farticle%2FPIIS1566277207000047%2Fabstract%3Frss%3Dyes</link>
            <description>This article will focus on investigating the baseline and progression of MCI using functional brain imaging techniques and multivariate analysis in order to understand the genesis and natural history of cognitive impairment in Alzheimer’s disease (AD) and Parkinson’s disease (PD), respectively. (Source: Clinical Neuroscience Research)</description>
            <author>Clinical Neuroscience Research</author>
            <type>journals</type>
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            <pubDate>Thu, 01 Nov 2007 04:00:00 +0100</pubDate>
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            <title>The application of network mapping in differential diagnosis of parkinsonian disorders</title>
            <link>http://www.medworm.com/index.php?rid=2347157&amp;cid=s_38453_168_f&amp;fid=38453&amp;url=http%3A%2F%2Fwww.journals.elsevierhealth.com%2Fperiodicals%2Fclires%2Farticle%2FPIIS1566277207000023%2Fabstract%3Frss%3Dyes</link>
            <description>Abstract: Although approximately 1–3% of the population over age 65 have Parkinson’s disease (PD), only about 75% of the patients diagnosed with parkinsonism have PD. The differential diagnosis of parkinsonian disorders based on clinical symptoms alone is particularly difficult during the early stages of the disease. A number of imaging strategies have been developed to differentiate between these clinically similar conditions. The assessment of abnormal patterns of brain metabolism, either by visual inspection or using computer-assisted algorithms, can be used to discriminate between classical PD and atypical variant conditions such as multiple system atrophy (MSA), progressive supranuclear palsy (PSP), or corticobasal ganglionic degeneration (CBGD).Recent advances in network quantifi...</description>
            <author>Clinical Neuroscience Research</author>
            <type>journals</type>
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            <pubDate>Thu, 01 Nov 2007 04:00:00 +0100</pubDate>
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            <title>Multivariate brain mapping in clinical neuroscience research</title>
            <link>http://www.medworm.com/index.php?rid=2347156&amp;cid=s_38453_168_f&amp;fid=38453&amp;url=http%3A%2F%2Fwww.journals.elsevierhealth.com%2Fperiodicals%2Fclires%2Farticle%2FPIIS1566277207000072%2Fabstract%3Frss%3Dyes</link>
            <description>Over the past decade a number of innovative developments in imaging technology have expanded the frontiers of clinical investigation in the neurosciences. Radiotracer imaging with positron emission tomography (PET) and single photon emission computerized tomography (SPECT) have become increasingly available for patient-oriented research. Moreover, highly innovative magnetic resonance imaging (MRI) techniques have been developed to provide critical information regarding structure/function relationships in the brain in both health and disease. In this regard, minimally invasive imaging techniques to assess neural function have recently found application in natural history studies and in clinical trials of novel therapies for brain disease. Although these uses of functional imaging have focus...</description>
            <author>Clinical Neuroscience Research</author>
            <type>journals</type>
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            <pubDate>Thu, 01 Nov 2007 04:00:00 +0100</pubDate>
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