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Advances in functional and structural MR image analysis and implementation as FSL
The techniques available for the interrogation and analysis of neuroimaging data have a large influence in determining the flexibility, sensitivity, and scope of neuroimaging experiments. TheExpand
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Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data
There has been much recent interest in using magnetic resonance diffusion imaging to provide information about anatomical connectivity in the brain, by measuring the anisotropic diffusion of water inExpand
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Characterization and propagation of uncertainty in diffusion-weighted MR imaging.
A fully probabilistic framework is presented for estimating local probability density functions on parameters of interest in a model of diffusion. This technique is applied to the estimation ofExpand
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Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging
Evidence concerning anatomical connectivities in the human brain is sparse and based largely on limited post-mortem observations. Diffusion tensor imaging has previously been used to define largeExpand
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Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis
Quantitative measurement of brain size, shape, and temporal change (for example, in order to estimate atrophy) is increasingly important in biomedical image analysis applications. New methods ofExpand
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Changes in connectivity profiles define functionally distinct regions in human medial frontal cortex.
A fundamental issue in neuroscience is the relation between structure and function. However, gross landmarks do not correspond well to microstructural borders and cytoarchitecture cannot beExpand
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fMRI resting state networks define distinct modes of long-distance interactions in the human brain
Functional magnetic resonance imaging (fMRI) studies of the human brain have suggested that low-frequency fluctuations in resting fMRI data collected using blood oxygen level dependent (BOLD)Expand
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Common variants conferring risk of schizophrenia
Schizophrenia is a complex disorder, caused by both genetic and environmental factors and their interactions. Research on pathogenesis has traditionally focused on neurotransmitter systems in theExpand
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Large recurrent microdeletions associated with schizophrenia
Reduced fecundity, associated with severe mental disorders, places negative selection pressure on risk alleles and may explain, in part, why common variants have not been found that confer risk ofExpand
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Polarity-Sensitive Modulation of Cortical Neurotransmitters by Transcranial Stimulation
Transcranial direct current stimulation (tDCS) modulates cortical excitability and is being used for human studies more frequently. Here we probe the underlying neuronal mechanisms by measuringExpand
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