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  • Journal article
    Fallon SJ, Hampshire A, Williams-Gray CH, Barker RA, Owen AMet al., 2013,

    Putative cortical dopamine levels affect cortical recruitment during planning

    , Neuropsychologia, ISSN: 1873-3514

    Planning, the decomposition of an ultimate goal into a number of sub-goals is critically dependent upon fronto-striatal dopamine (DA) levels. Here, we examined the extent to which the val158met polymorphism in the catechol O-methyltransferase (COMT) gene, which is thought to primarily alter cortical DA levels, affects performance and fronto-parietal activity during a planning task (Tower of London). COMT genotype was found to modulate activity in the left superior posterior parietal cortex (SPC) during planning, relative to subtracting, trials. Specifically, left SPC blood oxygenation level-dependent (BOLD) response was reduced in groups with putatively low or high cortical DA levels (COMT homozygotes) relative to those with intermediate cortical DA levels (COMT heterozygotes). These set of results are argued to occur either due to differences in neuronal processing in planning (and perhaps subtracting) caused by the COMT genotype and/or the cognitively heterogeneous nature of the TOL, which allows different cognitive strategies to be used whilst producing indistinguishable behavioural performance in healthy adults. The implications of this result for our understanding of COMT's effect on cognition in health and disease are discussed.

  • Journal article
    Scott G, Presswood E, 2012,

    CHRISTMAS 2012: TOMORROW'S WORLD Case report of E.T.-The Extra-Terrestrial

    , BMJ-BRITISH MEDICAL JOURNAL, Vol: 345, ISSN: 1756-1833
  • Journal article
    Scott G, Presswood E, 2012,

    Case report of E.T.--the extra-terrestrial.

    , BMJ, Vol: 345
  • Journal article
    Ham TE, Sharp DJ, 2012,

    How can investigation of network function inform rehabilitation after traumatic brain injury?

    , CURRENT OPINION IN NEUROLOGY, Vol: 25, Pages: 662-669, ISSN: 1350-7540
  • Journal article
    Goldstone AP, Holland AJ, Butler JV, Whittington JEet al., 2012,

    Appetite hormones and the transition to hyperphagia in children with Prader-Willi syndrome

    , INTERNATIONAL JOURNAL OF OBESITY, Vol: 36, Pages: 1564-1570, ISSN: 0307-0565
  • Conference paper
    Deligianni F, Varoquaux G, Thirion B, Robinson E, Sharp DJ, Edwards AD, Rueckert Det al., 2012,

    Relating brain functional connectivity to anatomical connections: Model selection

    , Pages: 178-185, ISSN: 0302-9743

    We aim to learn across several subjects a mapping from brain anatomical connectivity to functional connectivity. Following [1], we formulate this problem as estimating a multivariate autoregressive (MAR) model with sparse linear regression. We introduce a model selection framework based on cross-validation. We select the appropriate sparsity of the connectivity matrices and demonstrate that choosing an ordering for the MAR that lends to sparser models is more appropriate than a random. Finally, we suggest randomized Least Absolute Shrinkage and Selective Operator (LASSO) in order to identify relevant anatomo-functional links with better recovery of ground truth. © 2012 Springer-Verlag.

  • Book chapter
    Li LM, Guilfoyle MR, Hutchinson PJA, 2012,

    Prediction of outcome and prognosis after head injury

    , Practical management of head and neck injury, Editors: Rosenfeld, ISBN: 978-0729539562
  • Journal article
    Hughes EJ, Bond J, Svrckova P, Makropoulos A, Ball G, Sharp DJ, Edwards AD, Hajnal JV, Counsell SJet al., 2012,

    Regional changes in thalamic shape and volume with increasing age

    , NEUROIMAGE, Vol: 63, Pages: 1134-1142, ISSN: 1053-8119
  • Journal article
    Squarcina L, Bertoldo A, Ham TE, Heckemann R, Sharp DJet al., 2012,

    A robust method for investigating thalamic white matter tracts after traumatic brain injury

    , NEUROIMAGE, Vol: 63, Pages: 779-788, ISSN: 1053-8119
  • Conference paper
    Hellyer PJ, Sharp DJ, Ham TE, Bonnelle V, Leech Ret al., 2012,

    White and grey matter damage after traumatic brain injury: An integrated approach to explaining cognitive function

    , Neuroscience 2012

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