Search Results - "ASHBURNER, J"

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  1. 1

    PRoNTo: Pattern Recognition for Neuroimaging Toolbox by Schrouff, J., Rosa, M. J., Rondina, J. M., Marquand, A. F., Chu, C., Ashburner, J., Phillips, C., Richiardi, J., Mourão-Miranda, J.

    Published in Neuroinformatics (Totowa, N.J.) (01-07-2013)
    “…In the past years, mass univariate statistical analyses of neuroimaging data have been complemented by the use of multivariate pattern analyses, especially…”
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  2. 2

    New tissue priors for improved automated classification of subcortical brain structures on MRI by Lorio, S., Fresard, S., Adaszewski, S., Kherif, F., Chowdhury, R., Frackowiak, R.S., Ashburner, J., Helms, G., Weiskopf, N., Lutti, A., Draganski, B.

    Published in NeuroImage (Orlando, Fla.) (15-04-2016)
    “…Despite the constant improvement of algorithms for automated brain tissue classification, the accurate delineation of subcortical structures using magnetic…”
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  3. 3

    Regional specificity of MRI contrast parameter changes in normal ageing revealed by voxel-based quantification (VBQ) by Draganski, B., Ashburner, J., Hutton, C., Kherif, F., Frackowiak, R.S.J., Helms, G., Weiskopf, N.

    Published in NeuroImage (Orlando, Fla.) (15-04-2011)
    “…Normal ageing is associated with characteristic changes in brain microstructure. Although in vivo neuroimaging captures spatial and temporal patterns of…”
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  4. 4

    Multimodal Image Coregistration and Partitioning—A Unified Framework by Ashburner, J, Friston, K

    Published in NeuroImage (Orlando, Fla.) (01-10-1997)
    “…This paper presents a method for the coregistration and partitioning (i.e., tissue segmentation) of brain images that have been acquired in different…”
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  5. 5

    Automatic classification of MR scans in Alzheimer's disease by Klöppel, Stefan, Stonnington, Cynthia M., Chu, Carlton, Draganski, Bogdan, Scahill, Rachael I., Rohrer, Jonathan D., Fox, Nick C., Jack, Clifford R., Ashburner, John, Frackowiak, Richard S. J.

    Published in Brain (London, England : 1878) (01-03-2008)
    “…To be diagnostically useful, structural MRI must reliably distinguish Alzheimer's disease (AD) from normal aging in individual scans. Recent advances in…”
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  6. 6

    Classical and Bayesian Inference in Neuroimaging: Theory by Friston, K.J., Penny, W., Phillips, C., Kiebel, S., Hinton, G., Ashburner, J.

    Published in NeuroImage (Orlando, Fla.) (01-06-2002)
    “…This paper reviews hierarchical observation models, used in functional neuroimaging, in a Bayesian light. It emphasizes the common ground shared by classical…”
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  7. 7

    Classical and Bayesian Inference in Neuroimaging: Applications by Friston, K.J., Glaser, D.E., Henson, R.N.A., Kiebel, S., Phillips, C., Ashburner, J.

    Published in NeuroImage (Orlando, Fla.) (01-06-2002)
    “…In Friston et al. ((2002) Neuroimage 16: 465–483) we introduced empirical Bayes as a potentially useful way to estimate and make inferences about effects in…”
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  8. 8

    Disentangling in vivo the effects of iron content and atrophy on the ageing human brain by Lorio, S., Lutti, A., Kherif, F., Ruef, A., Dukart, J., Chowdhury, R., Frackowiak, R.S., Ashburner, J., Helms, G., Weiskopf, N., Draganski, B.

    Published in NeuroImage (Orlando, Fla.) (01-12-2014)
    “…Evidence from magnetic resonance imaging (MRI) studies shows that healthy aging is associated with profound changes in cortical and subcortical brain…”
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    A voxel-based morphometry study of semantic dementia: Relationship between temporal lobe atrophy and semantic memory by Mummery, C. J., Patterson, K., Price, C. J., Ashburner, J., Frackowiak, R. S. J., Hodges, J. R.

    Published in Annals of neurology (01-01-2000)
    “…The cortical anatomy of 6 patients with semantic dementia (the temporal lobe variant of frontotemporal dementia) was contrasted with that of a group of…”
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  11. 11

    Generative and recognition models for neuroanatomy by Friston, K.J., Ashburner, J.

    Published in NeuroImage (Orlando, Fla.) (01-09-2004)
    “…[...]VBM is not used to characterize interregional dependencies. Because gross differences have been removed, VBM is not a surrogate for classical volumetric…”
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  12. 12

    Atrophy progression in semantic dementia with asymmetric temporal involvement: A tensor-based morphometry study by Brambati, S.M, Rankin, K.P, Narvid, J, Seeley, W.W, Dean, D, Rosen, H.J, Miller, B.L, Ashburner, J, Gorno-Tempini, M.L

    Published in Neurobiology of aging (01-01-2009)
    “…Abstract We performed a longitudinal anatomical study to map the progression of gray matter atrophy in anatomically defined predominantly left (LTLV) and right…”
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  13. 13

    Distributional Assumptions in Voxel-Based Morphometry by Salmond, C.H., Ashburner, J., Vargha-Khadem, F., Connelly, A., Gadian, D.G., Friston, K.J.

    Published in NeuroImage (Orlando, Fla.) (01-10-2002)
    “…In this paper we address the assumptions about the distribution of errors made by voxel-based morphometry. Voxel-based morphometry (VBM) uses the general…”
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  14. 14

    Genotype–phenotype interactions in primary dystonias revealed by differential changes in brain structure by Draganski, B., Schneider, S.A., Fiorio, M., Klöppel, S., Gambarin, M., Tinazzi, M., Ashburner, J., Bhatia, K.P., Frackowiak, R.S.J.

    Published in NeuroImage (Orlando, Fla.) (01-10-2009)
    “…Our understanding of how genotype determines phenotype in primary dystonia is limited. Familial young-onset primary dystonia is commonly due to the DYT1 gene…”
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  15. 15

    Age- and Sex-Related Variations in the Brain White Matter Fractal Dimension Throughout Adulthood: An MRI Study by Farahibozorg, S., Hashemi-Golpayegani, S. M., Ashburner, J.

    Published in Clinical neuroradiology (Munich) (01-03-2015)
    “…Purpose To observe age- and sex-related differences in the complexity of the global and hemispheric white matter (WM) throughout adulthood by means of fractal…”
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  16. 16

    MRI analysis of an inherited speech and language disorder: structural brain abnormalities by WATKINS, K. E, VARGHA-KHADEM, F, ASHBURNER, J, PASSINGHAM, R. E, CONNELLY, A, FRISTON, K. J, FRACKOWIAK, R. S. J, MISHKIN, M, GADIAN, D. G

    Published in Brain (London, England : 1878) (01-03-2002)
    “…Analyses of brain structure in genetic speech and language disorders provide an opportunity to identify neurobiological phenotypes and further elucidate the…”
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  17. 17

    Correlation between structural and functional changes in brain in an idiopathic headache syndrome by Goadsby, P.J, May, A, Ashburner, J, Büchel, C, McGonigle, D.J, Friston, K.J, Frackowiak, R.S.J

    Published in Nature medicine (01-07-1999)
    “…Fundamental to the concept of idiopathic or primary headache, including migraine, tension-type headache and cluster headache, is the currently accepted view…”
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  18. 18

    The role of the medial temporal lobe in autistic spectrum disorders by Salmond, C. H., Ashburner, J., Connelly, A., Friston, K. J., Gadian, D. G., Vargha-Khadem, F.

    Published in The European journal of neuroscience (01-08-2005)
    “…The neural basis of autistic spectrum disorders (ASDs) is poorly understood. Studies of mnemonic function in ASD suggest a profile of impaired episodic memory…”
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  19. 19

    Progression of structural neuropathology in preclinical Huntington’s disease: a tensor based morphometry study by Kipps, C M, Duggins, A J, Mahant, N, Gomes, L, Ashburner, J, McCusker, E A

    “…Background and objectives: Regional cerebral atrophy occurs in carriers of the Huntington’s disease (HD) gene mutation before clinical diagnosis is possible…”
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  20. 20

    Automatic detection of preclinical neurodegeneration : Presymptomatic Huntington disease by KLÖPPEL, S, CHU, C, TAN, G. C, DRAGANSKI, B, JOHNSON, H, PAULSEN, J. S, KIENZLE, W, TABRIZI, S. J, ASHBURNER, J, FRACKOWIAK, R. S. J

    Published in Neurology (03-02-2009)
    “…Treatment of neurodegenerative diseases is likely to be most beneficial in the very early, possibly preclinical stages of degeneration. We explored the…”
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