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Dr Andre Marquand

PhD

Lecturer

 

Contact Details

Email: Andre.Marquand@kcl.ac.uk

Telephone / Fax: 020 3228 3066 / 2116

Location: Room 3.08 , Centre for Neuroimaging Sciences

Address: Institute of Psychiatry, PO89, De Crespigny Park, London SE5 8AF, U.K.

 

Biography

I am interested in the application of machine learning and pattern recognition methods to neuroimaging and other neuroscientific data to further the understanding of human brain function. Such methods aim to learn to detect patterns of statistical regularity in empirical data and hold significant promise for decoding cognitive states and predicting clinically relevant variables in health and disease.

 


Publications

See here for a list of citations

 

Selected Journal Publications (*: joint first/last authorship)

2013

Hart, H., Chantiluke, K., Cubillo, A., Smith, A., Simmonds, A., Brammer, M., Marquand A., Rubia K. (Accepted pending Editorial Review) Pattern classification of response inhibition in ADHD: toward the development of neurobiological markers for ADHD. Human Brain Mapping

Hart H., Marquand, A., Smith A., Cubillo A., Simmons A., Brammer, M., Rubia K. (In Revision). Predictive neurofunctional markers of ADHD based on pattern classification of temporal processing Journal of Child and Adolescent Psychiatry

Rondina, J., Hahn, T., Marquand A., et al (In Revision) SCoRS - a method based on stability for feature selection and mapping in neuroimaging. IEEE Transactions on Medical Imaging

Rocha-Rego V., Jogia, J., Marquand A. et al (in press) Examination of the predictive value of structural magnetic resonance scans in bipolar disorder: a pattern classification approach. Psychological Medicine

Gong, Q., Tognin, S., Pettersson-Yeo, W., Marquand, A. et al (in press) Multivariate analysis of structural MRI identifies trauma survivors with and without Post-Traumatic Stress Disorder with high accuracy Psychological Medicine

Almeida, J., Mourao-Miranda, J., Aizenstein, H., Versace, A., Kozel, F., Lu, H., Marquand, A. et al (In press) Pattern recognition analysis of anterior cingulate cortex blood flow to classify depression polarity. Br J Psychiatry.

Marquand, A., Filippone, M. et al (2013) Automated, high accuracy classification of Parkinsonian disorders: a pattern recognition approach. PLOS ONE 8, e69237

Doyle O., Ashburner, J., Zelaya, F, Williams, S., Mehta, M, Marquand, A*. (2013) Multivariate decoding of brain images using ordinal regression. Neuroimage 81, 347-57

Hahn, T., Marquand, A*., Plichta, M., Ehlis, A.-C. et al. (2013) A novel approach to probabilistic biomarker-based classification using functional Near-Infrared Spectroscopy, Human Brain Mapping 34, 1102-14

Lim, L., Marquand A. et al (2013) Disorder-specific predictive classification of adolescents with attention-deficit hyperactivity disorder relative to autism using structural magnetic resonance imaging PLOS ONE 8, e63660

Schrouff, J., Rosa, M., Rondina, J., Marquand A. et al (2013). Pronto: Pattern Recognition for Neuroimaging Toolbox. Neuroinformatics 11, 319-37

Deeley, Q., Oakley, D., Toone, B., Bell V., Walsh, E., Marquand, A. et al (2013). The functional anatomy of suggested limb paralysis. Cortex 49, 411-22

De Simoni, S., Schwarz, A., O'Daly, O., Marquand, A. et al (2013) Test-retest reliability of the BOLD pharmacological MRI response to ketamine in healthy volunteers. Neuroimage 64, 75-90

Pettersson-Yeo, W., Benetti, S., Marquand A. (2013) et al Using genetic, cognitive and multi-modal neuroimaging data to identify ultra-high-risk and first-episode psychosis at the individual level Psychological Medicine14, 1-16

2012

Marquand A., O’Daly, O., De Simoni S., Allsop, D., Maguire, R. P., Williams, S., Zelaya, F., Mehta, M. (2012). Dissociable effects of methylphenidate, atomoxetine and placebo on regional cerebral blood flow in healthy volunteers at rest: a multi-class pattern recognition approach. NeuroImage 36, 1237-47

Filippone, M., Marquand A., Blain C., et al. (2012). Probabilistic prediction of neurological disorders with a statistical assessment of neuroimaging data modalities. Annals of Applied Statistics 6, 1883-1905

Mourao-Miranda J., Almeida, J. Hassel, S., De Oliveira L., Versace, A., Marquand A. et al. (2012). Pattern recognition analyses of brain activation elicited by happy and neutral faces in unipolar and bipolar depression. Bipolar Disorders 14, 451-60

Mourao-Miranda, J., Olivera, L., Ladoucer, C., Marquand, A., et al (2012). Machine learning and neuroimaging predict future mental illness in at-risk adolescents, PLOS ONE 7, e29482

Orrù, G., Pettersson-Yeo W., Marquand A., Sartori G., Mechelli. A. (2012) Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review. Neuroscience and Biobehavioural Reviews 36, 1140-52

2011

Marquand A., De Simoni S., O’Daly, O., Williams, S., Mourao-Miranda, J., Mehta, M. (2011) Pattern classification of working memory networks reveals differential effects of methylphenidate, atomoxetine and placebo in healthy volunteers. Neuropsychopharmacology 36, 1237-47

Hahn, T., Marquand, A., Ehlis, A., Dresler, T., Kittel-Schneider, S., Jarczok, T., et al. (2011) Integrating neurobiological markers of depression. Archives of General Psychiatry 68, 361-8

Mourao-Miranda, J., Hardoon, D., Hahn, T., Marquand A., et al (2011). Patient classification as an outlier detection problem: an application of the one-class support vector machine. NeuroImage 58,793-804

Gong, Q., Lui, S., Jiaa, Z., Marquand, A., Scarpazza C., McGuire, P. Mechelli, A. (2011). Predicting therapeutic response in depression with MRI: a support vector machine study. Neuroimage 55, 1497-503

2010

Marquand, A., Howard M., Brammer, M., Chu, C., et al. (2010). Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes. NeuroImage 126, 272-7.

Ecker, C., Marquand, A., Mourão-Miranda, J., Johnston, P., Daly E. et al. (2010). Describing the brain in autism in five dimensions – magnetic resonance imaging-assisted diagnosis of autism spectrum disorder using a multiparameter classification approach. Journal of Neuroscience 30, 10612-23

Ecker, C., Rocha-Rego, V., Mourão-Miranda, J., Marquand, A., Daly, E., et al. (2010) Investigating the predictive value of whole-brain structural MR scans in autism: a pattern classification approach. Neuroimaging 49, 44-56

2008

Marquand, A., Mourão-Miranda, J., Brammer, M., Cleare, A., Fu, C. (2008). Neuroanatomy of verbal working memory as a diagnostic biomarker for depression. Neuroreport 19, 1507-11.

Fu, C., Mourão-Miranda, J., Costafreda, S., Khanna, A., Marquand, A. et al., (2008). Pattern classification of sad facial processing: towards the development of neurobiological markers in depression. Biological Psychiatry 63, 656-62


Selected Refereed Conference Papers (Non-refereed abstracts and talks not listed)

Marquand, A., Rosa, M. J., Doyle, O. (2013) Conditional Gaussian graphical models for multi-output regression of neuroimaging data. International Workshop on Advances in Regularization, Optimization, Kernel Methods and Support Vector Machines, Leuven Belgium

Doyle, O., Mehta, M., Brammer, M., Schwarz, A., Marquand, A. (2011) Data-driven modeling of BOLD drug response curves using Gaussian process learning. Workshop on Machine Learning and Interpretability in Neuroimaging, Neural Information Processing Systems, Granada, Spain

Marquand, A., De Simoni, S, O’Daly, O., Mourao-Miranda, J., et al. (2010). Quantifying the information content of brain voxels using target information, Gaussian processes and recursive feature elimination. Workshop on Brain Decoding, International Conference on Pattern Recognition, Istanbul, Turkey

Chu, C., Bandettini, P., Ashburner, J., Marquand, A., Kloeppel, S. (2010). Classification of neurodegenerative diseases using Gaussian process classification with automatic feature determination., International Conference on Pattern Recognition, Istanbul, Turkey

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