Search results for 'A. Lucina' (try it on Scholar)

  1. Vinod Menon Lucina Q. Uddin, Kaustubh Supekar (2013). Reconceptualizing Functional Brain Connectivity in Autism From a Developmental Perspective. Frontiers in Human Neuroscience 7.score: 42.0
    While there is almost universal agreement amongst researchers that autism is associated with alterations in brain connectivity, the precise nature of these alterations continues to be debated. Theoretical and empirical work is beginning to reveal that autism is associated with a complex functional phenotype characterized by both hypo- and hyper-connectivity of large-scale brain systems. It is not yet understood why such conflicting patterns of brain connectivity are observed across different studies, and the factors contributing to these heterogeneous findings have not (...)
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  2. Lucina Q. Uddin Istvan Molnar-Szakacs (2013). Self-Processing and the Default Mode Network: Interactions with the Mirror Neuron System. Frontiers in Human Neuroscience 7.score: 12.0
    Recent evidence for the fractionation of the default mode network (DMN) into functionally distinguishable subdivisions with unique patterns of connectivity calls for a reconceptualization of the relationship between this network and self-referential processing. Advances in resting-state functional connectivity analyses are beginning to reveal increasingly complex patterns of organization within the key nodes of the DMN - medial prefrontal cortex (MPFC) and posterior cingulate cortex (PCC) – as well as between these nodes and other brain systems. Here we review recent examinations (...)
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  3. Elena Rykhlevskaia, Lucina Q. Uddin, Leeza Kondos & Vinod Menon (2009). Neuroanatomical Correlates of Developmental Dyscalculia: Combined Evidence From Morphometry and Tractography. Frontiers in Human Neuroscience 3.score: 12.0
    Poor mathematical abilities adversely affect academic and career opportunities. The neuroanatomical basis of developmental dyscalculia (DD), a specific learning deficit with prevalence rates exceeding 5%, is poorly understood. We used structural MRI and diffusion tensor imaging (DTI) to examine macro- and micro-structural impairments in 7-9 year old children with DD, compared to a group of typically developing (TD) children matched on age, gender, intelligence, reading abilities and working memory capacity. Voxel-based morphometry (VBM) revealed reduced grey matter (GM) bilaterally in superior (...)
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