Andre Marquand

Summary

Affiliation: King's College London
Country: UK

Publications

  1. doi request reprint Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes
    Andre Marquand
    Department of Clinical Neuroscience, Centre for Neuroimaging Sciences, Institute of Psychiatry, King s College London, UK
    Neuroimage 49:2178-89. 2010
  2. pmc Pattern classification of working memory networks reveals differential effects of methylphenidate, atomoxetine, and placebo in healthy volunteers
    Andre F Marquand
    Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, King s College London, London, UK
    Neuropsychopharmacology 36:1237-47. 2011
  3. doi request reprint Bayesian multi-task learning for decoding multi-subject neuroimaging data
    Andre F Marquand
    Department of Neuroimaging, Institute of Psychiatry, De Crespigny Park, London SE5 8AF, United Kingdom Electronic address
    Neuroimage 92:298-311. 2014
  4. pmc Automated, high accuracy classification of Parkinsonian disorders: a pattern recognition approach
    Andre F Marquand
    Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, King s College London, London, United Kingdom
    PLoS ONE 8:e69237. 2013
  5. pmc Dissociable effects of methylphenidate, atomoxetine and placebo on regional cerebral blood flow in healthy volunteers at rest: a multi-class pattern recognition approach
    Andre F Marquand
    Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, King s College London, UK
    Neuroimage 60:1015-24. 2012
  6. doi request reprint Describing the brain in autism in five dimensions--magnetic resonance imaging-assisted diagnosis of autism spectrum disorder using a multiparameter classification approach
    Christine Ecker
    Section of Brain Maturation, Department of Psychological Medicine, Institute of Psychiatry, Brain Image Analysis Unit, Centre for Neuroimaging Sciences, King s College, London SE5 8AF, United Kingdom
    J Neurosci 30:10612-23. 2010
  7. pmc Disorder-specific predictive classification of adolescents with attention deficit hyperactivity disorder (ADHD) relative to autism using structural magnetic resonance imaging
    Lena Lim
    Department of Child and Adolescent Psychiatry, Institute of Psychiatry, King s College London, London, United Kingdom
    PLoS ONE 8:e63660. 2013
  8. doi request reprint Investigating the predictive value of whole-brain structural MR scans in autism: a pattern classification approach
    Christine Ecker
    Section of Brain Maturation, Department of Psychological Medicine, Institute of Psychiatry, King s College, London, UK
    Neuroimage 49:44-56. 2010
  9. pmc Subregional hippocampal deformations in major depressive disorder
    James Cole
    Institute of Psychiatry, King s College London, De Crespigny Park, London, UK
    J Affect Disord 126:272-7. 2010

Detail Information

Publications9

  1. doi request reprint Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes
    Andre Marquand
    Department of Clinical Neuroscience, Centre for Neuroimaging Sciences, Institute of Psychiatry, King s College London, UK
    Neuroimage 49:2178-89. 2010
    ..For classification, GP models perform categorical prediction as accurately as a support vector machine classifier and furnish probabilistic class predictions...
  2. pmc Pattern classification of working memory networks reveals differential effects of methylphenidate, atomoxetine, and placebo in healthy volunteers
    Andre F Marquand
    Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, King s College London, London, UK
    Neuropsychopharmacology 36:1237-47. 2011
    ..Thus, interactions between drug effects and motivational state are crucial in defining the effects of MPH and ATX...
  3. doi request reprint Bayesian multi-task learning for decoding multi-subject neuroimaging data
    Andre F Marquand
    Department of Neuroimaging, Institute of Psychiatry, De Crespigny Park, London SE5 8AF, United Kingdom Electronic address
    Neuroimage 92:298-311. 2014
    ..Our results demonstrate that MTL provides a promising method for multi-subject decoding studies by focusing on the commonalities between a group of subjects rather than the idiosyncratic properties of different subjects. ..
  4. pmc Automated, high accuracy classification of Parkinsonian disorders: a pattern recognition approach
    Andre F Marquand
    Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, King s College London, London, United Kingdom
    PLoS ONE 8:e69237. 2013
    ....
  5. pmc Dissociable effects of methylphenidate, atomoxetine and placebo on regional cerebral blood flow in healthy volunteers at rest: a multi-class pattern recognition approach
    Andre F Marquand
    Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, King s College London, UK
    Neuroimage 60:1015-24. 2012
    ..Our results demonstrate that combining ASL and PR yields a sensitive method for detecting the effects of these drugs and provides insights into the regional distribution of brain networks potentially modulated by these compounds...
  6. doi request reprint Describing the brain in autism in five dimensions--magnetic resonance imaging-assisted diagnosis of autism spectrum disorder using a multiparameter classification approach
    Christine Ecker
    Section of Brain Maturation, Department of Psychological Medicine, Institute of Psychiatry, Brain Image Analysis Unit, Centre for Neuroimaging Sciences, King s College, London SE5 8AF, United Kingdom
    J Neurosci 30:10612-23. 2010
    ..The spatial patterns detected using SVM may help further exploration of the specific genetic and neuropathological underpinnings of ASD, and provide new insights into the most likely multifactorial etiology of the condition...
  7. pmc Disorder-specific predictive classification of adolescents with attention deficit hyperactivity disorder (ADHD) relative to autism using structural magnetic resonance imaging
    Lena Lim
    Department of Child and Adolescent Psychiatry, Institute of Psychiatry, King s College London, London, United Kingdom
    PLoS ONE 8:e63660. 2013
    ....
  8. doi request reprint Investigating the predictive value of whole-brain structural MR scans in autism: a pattern classification approach
    Christine Ecker
    Section of Brain Maturation, Department of Psychological Medicine, Institute of Psychiatry, King s College, London, UK
    Neuroimage 49:44-56. 2010
    ..Also, these differences provide significant predictive power for group membership, which is related to symptom severity...
  9. pmc Subregional hippocampal deformations in major depressive disorder
    James Cole
    Institute of Psychiatry, King s College London, De Crespigny Park, London, UK
    J Affect Disord 126:272-7. 2010
    ..The present study sought to examine hippocampal volume and subregional morphology in patients with major depressive disorder, who were all medication-free and in an acute depressive episode of moderate severity...