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    1. Neuroscience

    Noninvasive quantification of axon radii using diffusion MRI

    Jelle Veraart et al.
    Cell-specific architectural properties such as the axon diameter of the white matter of the human brain can be quantified accurately and non-invasively using diffusion magnetic resonance imaging.
    1. Neuroscience

    Model-based fMRI reveals dissimilarity processes underlying base rate neglect

    Sean R O'Bryan et al.
    Model-based imaging shows that the rostrolateral prefrontal cortex supports dissimilarity-based heuristics that people may use when they are confronted with ambiguous scenarios.
    1. Human Biology and Medicine
    2. Neuroscience

    Non-invasive imaging of CSF-mediated brain clearance pathways via assessment of perivascular fluid movement with diffusion tensor MRI

    Ian F Harrison et al.
    The first non-invasive technique to assess the action of brain clearance mechanisms, driven by the perivascular inflow of cerebrospinal fluid, has been developed using magnetic resonance imaging.
    1. Neuroscience

    Widespread correlation patterns of fMRI signal across visual cortex reflect eccentricity organization

    Michael J Arcaro et al.
    Functional coupling between visual areas reflects supra-areal eccentricity organization distinct from overlapping receptive field connectivity during both rest conditions and naturalistic movie viewing.
    1. Neuroscience

    fMRI reveals neural activity overlap between adult and infant pain

    Sezgi Goksan et al.
    The newborn infant experience of pain closely resembles that observed in adults, suggesting that infants have the sensory and emotional capacity to experience pain.
    1. Neuroscience

    Functional MRI: Making connections in the brain

    Alex TL Leong, Ed X Wu
    Simultaneous measurements of neuronal activity and fMRI signals in the rat brain have shed new light on the origins of resting-state fMRI connectivity networks.
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    1. Human Biology and Medicine
    2. Neuroscience

    MRI: Searching for epilepsy’s crystal ball

    Olli Gröhn, Alejandra Sierra
    Multi-modal MRI techniques have identified biomarkers that could help to predict whether someone will develop epilepsy.
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    1. Neuroscience

    Physical Inference: How the brain represents mass

    Grant Fairchild, Jacqueline C Snow
    New fMRI experiments and machine learning are helping to identify how the mass of objects is processed in the brain.
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    1. Neuroscience

    Inter-individual differences in human brain structure and morphology link to variation in demographics and behavior

    Alberto Llera et al.
    Multi-modal structural data fusion questions the specificity of fMRI-behavior associations by providing strong evidence relating human brain structure to a wide range of behavioral measures previously associated to functional connectivity.