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Items: 1 to 50 of 53

1.

Correction: Conceptualizing mental disorders as deviations from normative functioning.

Marquand AF, Kia SM, Zabihi M, Wolfers T, Buitelaar JK, Beckmann CF.

Mol Psychiatry. 2019 Jun 26. doi: 10.1038/s41380-019-0451-z. [Epub ahead of print]

PMID:
31243327
2.

Conceptualizing mental disorders as deviations from normative functioning.

Marquand AF, Kia SM, Zabihi M, Wolfers T, Buitelaar JK, Beckmann CF.

Mol Psychiatry. 2019 Jun 14. doi: 10.1038/s41380-019-0441-1. [Epub ahead of print] Review. Erratum in: Mol Psychiatry. 2019 Jun 26;:.

PMID:
31201374
3.

Modeling longitudinal imaging biomarkers with parametric Bayesian multi-task learning.

Aksman LM, Scelsi MA, Marquand AF, Alexander DC, Ourselin S, Altmann A; for ADNI.

Hum Brain Mapp. 2019 Jun 5. doi: 10.1002/hbm.24682. [Epub ahead of print]

PMID:
31168892
4.

Evaluating the evidence for biotypes of depression: Methodological replication and extension of.

Dinga R, Schmaal L, Penninx BWJH, van Tol MJ, Veltman DJ, van Velzen L, Mennes M, van der Wee NJA, Marquand AF.

Neuroimage Clin. 2019;22:101796. doi: 10.1016/j.nicl.2019.101796. Epub 2019 Mar 27.

5.

Dissecting the Heterogeneous Cortical Anatomy of Autism Spectrum Disorder Using Normative Models.

Zabihi M, Oldehinkel M, Wolfers T, Frouin V, Goyard D, Loth E, Charman T, Tillmann J, Banaschewski T, Dumas G, Holt R, Baron-Cohen S, Durston S, Bölte S, Murphy D, Ecker C, Buitelaar JK, Beckmann CF, Marquand AF.

Biol Psychiatry Cogn Neurosci Neuroimaging. 2019 Jun;4(6):567-578. doi: 10.1016/j.bpsc.2018.11.013. Epub 2018 Dec 19.

6.

Individual differences v. the average patient: mapping the heterogeneity in ADHD using normative models.

Wolfers T, Beckmann CF, Hoogman M, Buitelaar JK, Franke B, Marquand AF.

Psychol Med. 2019 Feb 20:1-10. doi: 10.1017/S0033291719000084. [Epub ahead of print]

PMID:
30782224
7.

Aiding the diagnosis of dissociative identity disorder: pattern recognition study of brain biomarkers.

Reinders AATS, Marquand AF, Schlumpf YR, Chalavi S, Vissia EM, Nijenhuis ERS, Dazzan P, Jäncke L, Veltman DJ.

Br J Psychiatry. 2018 Dec 7:1-9. doi: 10.1192/bjp.2018.255. [Epub ahead of print]

PMID:
30523772
8.

Predicting the naturalistic course of depression from a wide range of clinical, psychological, and biological data: a machine learning approach.

Dinga R, Marquand AF, Veltman DJ, Beekman ATF, Schoevers RA, van Hemert AM, Penninx BWJH, Schmaal L.

Transl Psychiatry. 2018 Nov 5;8(1):241. doi: 10.1038/s41398-018-0289-1.

9.

Mapping the Heterogeneous Phenotype of Schizophrenia and Bipolar Disorder Using Normative Models.

Wolfers T, Doan NT, Kaufmann T, Alnæs D, Moberget T, Agartz I, Buitelaar JK, Ueland T, Melle I, Franke B, Andreassen OA, Beckmann CF, Westlye LT, Marquand AF.

JAMA Psychiatry. 2018 Nov 1;75(11):1146-1155. doi: 10.1001/jamapsychiatry.2018.2467.

PMID:
30304337
10.

Refinement by integration: aggregated effects of multimodal imaging markers on adult ADHD.

Wolfers T, Arenas AL, Onnink AMH, Dammers J, Hoogman M, Zwiers MP, Buitelaar JK, Franke B, Marquand AF, Beckmann CF.

J Psychiatry Neurosci. 2017 Nov;42(6):386-394.

11.

Functional corticostriatal connection topographies predict goal directed behaviour in humans.

Marquand AF, Haak KV, Beckmann CF.

Nat Hum Behav. 2017 Aug;1(8):0146. doi: 10.1038/s41562-017-0146. Epub 2017 Jul 24.

12.

A Bayesian spatial model for neuroimaging data based on biologically informed basis functions.

Huertas I, Oldehinkel M, van Oort ESB, Garcia-Solis D, Mir P, Beckmann CF, Marquand AF.

Neuroimage. 2017 Nov 1;161:134-148. doi: 10.1016/j.neuroimage.2017.08.009. Epub 2017 Aug 4.

13.

Frequency-specific directed interactions in the human brain network for language.

Schoffelen JM, Hultén A, Lam N, Marquand AF, Uddén J, Hagoort P.

Proc Natl Acad Sci U S A. 2017 Jul 25;114(30):8083-8088. doi: 10.1073/pnas.1703155114. Epub 2017 Jul 11.

14.

Connectopic mapping with resting-state fMRI.

Haak KV, Marquand AF, Beckmann CF.

Neuroimage. 2018 Apr 15;170:83-94. doi: 10.1016/j.neuroimage.2017.06.075. Epub 2017 Jun 27. Review.

15.

Association Between the Probability of Autism Spectrum Disorder and Normative Sex-Related Phenotypic Diversity in Brain Structure.

Ecker C, Andrews DS, Gudbrandsen CM, Marquand AF, Ginestet CE, Daly EM, Murphy CM, Lai MC, Lombardo MV, Ruigrok AN, Bullmore ET, Suckling J, Williams SC, Baron-Cohen S, Craig MC, Murphy DG; Medical Research Council Autism Imaging Multicentre Study (MRC AIMS) Consortium.

JAMA Psychiatry. 2017 Apr 1;74(4):329-338. doi: 10.1001/jamapsychiatry.2016.3990.

16.

Novel genetic loci associated with hippocampal volume.

Hibar DP, Adams HHH, Jahanshad N, Chauhan G, Stein JL, Hofer E, Renteria ME, Bis JC, Arias-Vasquez A, Ikram MK, Desrivières S, Vernooij MW, Abramovic L, Alhusaini S, Amin N, Andersson M, Arfanakis K, Aribisala BS, Armstrong NJ, Athanasiu L, Axelsson T, Beecham AH, Beiser A, Bernard M, Blanton SH, Bohlken MM, Boks MP, Bralten J, Brickman AM, Carmichael O, Chakravarty MM, Chen Q, Ching CRK, Chouraki V, Cuellar-Partida G, Crivello F, Den Braber A, Doan NT, Ehrlich S, Giddaluru S, Goldman AL, Gottesman RF, Grimm O, Griswold ME, Guadalupe T, Gutman BA, Hass J, Haukvik UK, Hoehn D, Holmes AJ, Hoogman M, Janowitz D, Jia T, Jørgensen KN, Karbalai N, Kasperaviciute D, Kim S, Klein M, Kraemer B, Lee PH, Liewald DCM, Lopez LM, Luciano M, Macare C, Marquand AF, Matarin M, Mather KA, Mattheisen M, McKay DR, Milaneschi Y, Muñoz Maniega S, Nho K, Nugent AC, Nyquist P, Loohuis LMO, Oosterlaan J, Papmeyer M, Pirpamer L, Pütz B, Ramasamy A, Richards JS, Risacher SL, Roiz-Santiañez R, Rommelse N, Ropele S, Rose EJ, Royle NA, Rundek T, Sämann PG, Saremi A, Satizabal CL, Schmaal L, Schork AJ, Shen L, Shin J, Shumskaya E, Smith AV, Sprooten E, Strike LT, Teumer A, Tordesillas-Gutierrez D, Toro R, Trabzuni D, Trompet S, Vaidya D, Van der Grond J, Van der Lee SJ, Van der Meer D, Van Donkelaar MMJ, Van Eijk KR, Van Erp TGM, Van Rooij D, Walton E, Westlye LT, Whelan CD, Windham BG, Winkler AM, Wittfeld K, Woldehawariat G, Wolf C, Wolfers T, Yanek LR, Yang J, Zijdenbos A, Zwiers MP, Agartz I, Almasy L, Ames D, Amouyel P, Andreassen OA, Arepalli S, Assareh AA, Barral S, Bastin ME, Becker DM, Becker JT, Bennett DA, Blangero J, van Bokhoven H, Boomsma DI, Brodaty H, Brouwer RM, Brunner HG, Buckner RL, Buitelaar JK, Bulayeva KB, Cahn W, Calhoun VD, Cannon DM, Cavalleri GL, Cheng CY, Cichon S, Cookson MR, Corvin A, Crespo-Facorro B, Curran JE, Czisch M, Dale AM, Davies GE, De Craen AJM, De Geus EJC, De Jager PL, De Zubicaray GI, Deary IJ, Debette S, DeCarli C, Delanty N, Depondt C, DeStefano A, Dillman A, Djurovic S, Donohoe G, Drevets WC, Duggirala R, Dyer TD, Enzinger C, Erk S, Espeseth T, Fedko IO, Fernández G, Ferrucci L, Fisher SE, Fleischman DA, Ford I, Fornage M, Foroud TM, Fox PT, Francks C, Fukunaga M, Gibbs JR, Glahn DC, Gollub RL, Göring HHH, Green RC, Gruber O, Gudnason V, Guelfi S, Håberg AK, Hansell NK, Hardy J, Hartman CA, Hashimoto R, Hegenscheid K, Heinz A, Le Hellard S, Hernandez DG, Heslenfeld DJ, Ho BC, Hoekstra PJ, Hoffmann W, Hofman A, Holsboer F, Homuth G, Hosten N, Hottenga JJ, Huentelman M, Hulshoff Pol HE, Ikeda M, Jack CR Jr, Jenkinson M, Johnson R, Jönsson EG, Jukema JW, Kahn RS, Kanai R, Kloszewska I, Knopman DS, Kochunov P, Kwok JB, Lawrie SM, Lemaître H, Liu X, Longo DL, Lopez OL, Lovestone S, Martinez O, Martinot JL, Mattay VS, McDonald C, McIntosh AM, McMahon FJ, McMahon KL, Mecocci P, Melle I, Meyer-Lindenberg A, Mohnke S, Montgomery GW, Morris DW, Mosley TH, Mühleisen TW, Müller-Myhsok B, Nalls MA, Nauck M, Nichols TE, Niessen WJ, Nöthen MM, Nyberg L, Ohi K, Olvera RL, Ophoff RA, Pandolfo M, Paus T, Pausova Z, Penninx BWJH, Pike GB, Potkin SG, Psaty BM, Reppermund S, Rietschel M, Roffman JL, Romanczuk-Seiferth N, Rotter JI, Ryten M, Sacco RL, Sachdev PS, Saykin AJ, Schmidt R, Schmidt H, Schofield PR, Sigursson S, Simmons A, Singleton A, Sisodiya SM, Smith C, Smoller JW, Soininen H, Steen VM, Stott DJ, Sussmann JE, Thalamuthu A, Toga AW, Traynor BJ, Troncoso J, Tsolaki M, Tzourio C, Uitterlinden AG, Hernández MCV, Van der Brug M, van der Lugt A, van der Wee NJA, Van Haren NEM, van 't Ent D, Van Tol MJ, Vardarajan BN, Vellas B, Veltman DJ, Völzke H, Walter H, Wardlaw JM, Wassink TH, Weale ME, Weinberger DR, Weiner MW, Wen W, Westman E, White T, Wong TY, Wright CB, Zielke RH, Zonderman AB, Martin NG, Van Duijn CM, Wright MJ, Longstreth WT, Schumann G, Grabe HJ, Franke B, Launer LJ, Medland SE, Seshadri S, Thompson PM, Ikram MA.

Nat Commun. 2017 Jan 18;8:13624. doi: 10.1038/ncomms13624.

17.

Distinguishing medication-free subjects with unipolar disorder from subjects with bipolar disorder: state matters.

Rive MM, Redlich R, Schmaal L, Marquand AF, Dannlowski U, Grotegerd D, Veltman DJ, Schene AH, Ruhé HG.

Bipolar Disord. 2016 Nov;18(7):612-623. doi: 10.1111/bdi.12446. Epub 2016 Nov 5.

PMID:
27870505
18.

Human subcortical brain asymmetries in 15,847 people worldwide reveal effects of age and sex.

Guadalupe T, Mathias SR, vanErp TGM, Whelan CD, Zwiers MP, Abe Y, Abramovic L, Agartz I, Andreassen OA, Arias-Vásquez A, Aribisala BS, Armstrong NJ, Arolt V, Artiges E, Ayesa-Arriola R, Baboyan VG, Banaschewski T, Barker G, Bastin ME, Baune BT, Blangero J, Bokde ALW, Boedhoe PSW, Bose A, Brem S, Brodaty H, Bromberg U, Brooks S, Büchel C, Buitelaar J, Calhoun VD, Cannon DM, Cattrell A, Cheng Y, Conrod PJ, Conzelmann A, Corvin A, Crespo-Facorro B, Crivello F, Dannlowski U, de Zubicaray GI, de Zwarte SMC, Deary IJ, Desrivières S, Doan NT, Donohoe G, Dørum ES, Ehrlich S, Espeseth T, Fernández G, Flor H, Fouche JP, Frouin V, Fukunaga M, Gallinat J, Garavan H, Gill M, Suarez AG, Gowland P, Grabe HJ, Grotegerd D, Gruber O, Hagenaars S, Hashimoto R, Hauser TU, Heinz A, Hibar DP, Hoekstra PJ, Hoogman M, Howells FM, Hu H, Hulshoff Pol HE, Huyser C, Ittermann B, Jahanshad N, Jönsson EG, Jurk S, Kahn RS, Kelly S, Kraemer B, Kugel H, Kwon JS, Lemaitre H, Lesch KP, Lochner C, Luciano M, Marquand AF, Martin NG, Martínez-Zalacaín I, Martinot JL, Mataix-Cols D, Mather K, McDonald C, McMahon KL, Medland SE, Menchón JM, Morris DW, Mothersill O, Maniega SM, Mwangi B, Nakamae T, Nakao T, Narayanaswaamy JC, Nees F, Nordvik JE, Onnink AMH, Opel N, Ophoff R, Paillère Martinot ML, Papadopoulos Orfanos D, Pauli P, Paus T, Poustka L, Reddy JY, Renteria ME, Roiz-Santiáñez R, Roos A, Royle NA, Sachdev P, Sánchez-Juan P, Schmaal L, Schumann G, Shumskaya E, Smolka MN, Soares JC, Soriano-Mas C, Stein DJ, Strike LT, Toro R, Turner JA, Tzourio-Mazoyer N, Uhlmann A, Hernández MV, van den Heuvel OA, van der Meer D, van Haren NEM, Veltman DJ, Venkatasubramanian G, Vetter NC, Vuletic D, Walitza S, Walter H, Walton E, Wang Z, Wardlaw J, Wen W, Westlye LT, Whelan R, Wittfeld K, Wolfers T, Wright MJ, Xu J, Xu X, Yun JY, Zhao J, Franke B, Thompson PM, Glahn DC, Mazoyer B, Fisher SE, Francks C.

Brain Imaging Behav. 2017 Oct;11(5):1497-1514. doi: 10.1007/s11682-016-9629-z.

19.

Beyond Lumping and Splitting: A Review of Computational Approaches for Stratifying Psychiatric Disorders.

Marquand AF, Wolfers T, Mennes M, Buitelaar J, Beckmann CF.

Biol Psychiatry Cogn Neurosci Neuroimaging. 2016 Sep;1(5):433-447. Review.

20.

Structural asymmetries of the human cerebellum in relation to cerebral cortical asymmetries and handedness.

Kavaklioglu T, Guadalupe T, Zwiers M, Marquand AF, Onnink M, Shumskaya E, Brunner H, Fernandez G, Fisher SE, Francks C.

Brain Struct Funct. 2017 May;222(4):1611-1623. doi: 10.1007/s00429-016-1295-9. Epub 2016 Aug 26.

21.

Quantifying patterns of brain activity: Distinguishing unaffected siblings from participants with ADHD and healthy individuals.

Wolfers T, van Rooij D, Oosterlaan J, Heslenfeld D, Hartman CA, Hoekstra PJ, Beckmann CF, Franke B, Buitelaar JK, Marquand AF.

Neuroimage Clin. 2016 Jul 2;12:227-33. doi: 10.1016/j.nicl.2016.06.020. eCollection 2016.

22.

Making use of longitudinal information in pattern recognition.

Aksman LM, Lythgoe DJ, Williams SC, Jokisch M, Mönninghoff C, Streffer J, Jöckel KH, Weimar C, Marquand AF.

Hum Brain Mapp. 2016 Dec;37(12):4385-4404. doi: 10.1002/hbm.23317. Epub 2016 Jul 25.

23.

Identifying Individuals at High Risk of Psychosis: Predictive Utility of Support Vector Machine using Structural and Functional MRI Data.

Valli I, Marquand AF, Mechelli A, Raffin M, Allen P, Seal ML, McGuire P.

Front Psychiatry. 2016 Apr 8;7:52. doi: 10.3389/fpsyt.2016.00052. eCollection 2016.

24.

Understanding Heterogeneity in Clinical Cohorts Using Normative Models: Beyond Case-Control Studies.

Marquand AF, Rezek I, Buitelaar J, Beckmann CF.

Biol Psychiatry. 2016 Oct 1;80(7):552-61. doi: 10.1016/j.biopsych.2015.12.023. Epub 2016 Jan 6.

25.

Estimating multivariate similarity between neuroimaging datasets with sparse canonical correlation analysis: an application to perfusion imaging.

Rosa MJ, Mehta MA, Pich EM, Risterucci C, Zelaya F, Reinders AA, Williams SC, Dazzan P, Doyle OM, Marquand AF.

Front Neurosci. 2015 Oct 13;9:366. doi: 10.3389/fnins.2015.00366. eCollection 2015.

26.

From estimating activation locality to predicting disorder: A review of pattern recognition for neuroimaging-based psychiatric diagnostics.

Wolfers T, Buitelaar JK, Beckmann CF, Franke B, Marquand AF.

Neurosci Biobehav Rev. 2015 Oct;57:328-49. doi: 10.1016/j.neubiorev.2015.08.001. Epub 2015 Aug 4. Review.

27.

Predicting long-term outcome of Internet-delivered cognitive behavior therapy for social anxiety disorder using fMRI and support vector machine learning.

Månsson KN, Frick A, Boraxbekk CJ, Marquand AF, Williams SC, Carlbring P, Andersson G, Furmark T.

Transl Psychiatry. 2015 Mar 17;5:e530. doi: 10.1038/tp.2015.22.

28.

Predicting the Naturalistic Course of Major Depressive Disorder Using Clinical and Multimodal Neuroimaging Information: A Multivariate Pattern Recognition Study.

Schmaal L, Marquand AF, Rhebergen D, van Tol MJ, Ruhé HG, van der Wee NJ, Veltman DJ, Penninx BW.

Biol Psychiatry. 2015 Aug 15;78(4):278-86. doi: 10.1016/j.biopsych.2014.11.018. Epub 2014 Nov 29.

29.

Predicting progression of Alzheimer's disease using ordinal regression.

Doyle OM, Westman E, Marquand AF, Mecocci P, Vellas B, Tsolaki M, Kłoszewska I, Soininen H, Lovestone S, Williams SC, Simmons A.

PLoS One. 2014 Aug 20;9(8):e105542. doi: 10.1371/journal.pone.0105542. eCollection 2014.

30.

An empirical comparison of different approaches for combining multimodal neuroimaging data with support vector machine.

Pettersson-Yeo W, Benetti S, Marquand AF, Joules R, Catani M, Williams SC, Allen P, McGuire P, Mechelli A.

Front Neurosci. 2014 Jul 15;8:189. doi: 10.3389/fnins.2014.00189. eCollection 2014.

31.

Predictive neurofunctional markers of attention-deficit/hyperactivity disorder based on pattern classification of temporal processing.

Hart H, Marquand AF, Smith A, Cubillo A, Simmons A, Brammer M, Rubia K.

J Am Acad Child Adolesc Psychiatry. 2014 May;53(5):569-78.e1. doi: 10.1016/j.jaac.2013.12.024. Epub 2014 Jan 25.

PMID:
24745956
32.

Bayesian multi-task learning for decoding multi-subject neuroimaging data.

Marquand AF, Brammer M, Williams SC, Doyle OM.

Neuroimage. 2014 May 15;92:298-311. doi: 10.1016/j.neuroimage.2014.02.008. Epub 2014 Feb 13.

33.

Classifying social anxiety disorder using multivoxel pattern analyses of brain function and structure.

Frick A, Gingnell M, Marquand AF, Howner K, Fischer H, Kristiansson M, Williams SC, Fredrikson M, Furmark T.

Behav Brain Res. 2014 Feb 1;259:330-5. doi: 10.1016/j.bbr.2013.11.003. Epub 2013 Nov 13.

34.

Pattern classification of response inhibition in ADHD: toward the development of neurobiological markers for ADHD.

Hart H, Chantiluke K, Cubillo AI, Smith AB, Simmons A, Brammer MJ, Marquand AF, Rubia K.

Hum Brain Mapp. 2014 Jul;35(7):3083-94. doi: 10.1002/hbm.22386. Epub 2013 Oct 11.

35.

SCoRS--A Method Based on Stability for Feature Selection and Mapping inNeuroimaging [corrected].

Rondina JM, Hahn T, de Oliveira L, Marquand AF, Dresler T, Leitner T, Fallgatter AJ, Shawe-Taylor J, Mourao-Miranda J.

IEEE Trans Med Imaging. 2014 Jan;33(1):85-98. doi: 10.1109/TMI.2013.2281398. Epub 2013 Sep 11. Erratum in: IEEE Trans Med Imaging. 2014 Mar;33(3):794.

36.

Automated, high accuracy classification of Parkinsonian disorders: a pattern recognition approach.

Marquand AF, Filippone M, Ashburner J, Girolami M, Mourao-Miranda J, Barker GJ, Williams SC, Leigh PN, Blain CR.

PLoS One. 2013 Jul 15;8(7):e69237. doi: 10.1371/journal.pone.0069237. Print 2013.

37.

Examination of the predictive value of structural magnetic resonance scans in bipolar disorder: a pattern classification approach.

Rocha-Rego V, Jogia J, Marquand AF, Mourao-Miranda J, Simmons A, Frangou S.

Psychol Med. 2014 Feb;44(3):519-32. doi: 10.1017/S0033291713001013. Epub 2013 Jun 5.

38.

Multivariate decoding of brain images using ordinal regression.

Doyle OM, Ashburner J, Zelaya FO, Williams SCR, Mehta MA, Marquand AF.

Neuroimage. 2013 Nov 1;81:347-357. doi: 10.1016/j.neuroimage.2013.05.036. Epub 2013 May 17.

39.

Using structural neuroanatomy to identify trauma survivors with and without post-traumatic stress disorder at the individual level.

Gong Q, Li L, Tognin S, Wu Q, Pettersson-Yeo W, Lui S, Huang X, Marquand AF, Mechelli A.

Psychol Med. 2014 Jan;44(1):195-203. doi: 10.1017/S0033291713000561. Epub 2013 Apr 3.

40.

Using genetic, cognitive and multi-modal neuroimaging data to identify ultra-high-risk and first-episode psychosis at the individual level.

Pettersson-Yeo W, Benetti S, Marquand AF, Dell'acqua F, Williams SC, Allen P, Prata D, McGuire P, Mechelli A.

Psychol Med. 2013 Dec;43(12):2547-62. doi: 10.1017/S003329171300024X. Epub 2013 Mar 14.

41.

PRoNTo: pattern recognition for neuroimaging toolbox.

Schrouff J, Rosa MJ, Rondina JM, Marquand AF, Chu C, Ashburner J, Phillips C, Richiardi J, Mourão-Miranda J.

Neuroinformatics. 2013 Jul;11(3):319-37. doi: 10.1007/s12021-013-9178-1.

42.

The functional anatomy of suggested limb paralysis.

Deeley Q, Oakley DA, Toone B, Bell V, Walsh E, Marquand AF, Giampietro V, Brammer MJ, Williams SC, Mehta MA, Halligan PW.

Cortex. 2013 Feb;49(2):411-22. doi: 10.1016/j.cortex.2012.09.016. Epub 2012 Dec 21.

PMID:
23351848
43.

PROBABILISTIC PREDICTION OF NEUROLOGICAL DISORDERS WITH A STATISTICAL ASSESSMENT OF NEUROIMAGING DATA MODALITIES.

Filippone M, Marquand AF, Blain CR, Williams SC, Mourão-Miranda J, Girolami M.

Ann Appl Stat. 2012 Dec 27;6(4):1883-1905.

44.

Test-retest reliability of the BOLD pharmacological MRI response to ketamine in healthy volunteers.

De Simoni S, Schwarz AJ, O'Daly OG, Marquand AF, Brittain C, Gonzales C, Stephenson S, Williams SC, Mehta MA.

Neuroimage. 2013 Jan 1;64:75-90. doi: 10.1016/j.neuroimage.2012.09.037. Epub 2012 Sep 23.

PMID:
23009959
45.

A novel approach to probabilistic biomarker-based classification using functional near-infrared spectroscopy.

Hahn T, Marquand AF, Plichta MM, Ehlis AC, Schecklmann MW, Dresler T, Jarczok TA, Eirich E, Leonhard C, Reif A, Lesch KP, Brammer MJ, Mourao-Miranda J, Fallgatter AJ.

Hum Brain Mapp. 2013 May;34(5):1102-14. doi: 10.1002/hbm.21497. Epub 2012 Jan 16.

46.

Pattern recognition analyses of brain activation elicited by happy and neutral faces in unipolar and bipolar depression.

Mourão-Miranda J, Almeida JR, Hassel S, de Oliveira L, Versace A, Marquand AF, Sato JR, Brammer M, Phillips ML.

Bipolar Disord. 2012 Jun;14(4):451-60. doi: 10.1111/j.1399-5618.2012.01019.x.

47.

Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: a critical review.

Orrù G, Pettersson-Yeo W, Marquand AF, Sartori G, Mechelli A.

Neurosci Biobehav Rev. 2012 Apr;36(4):1140-52. doi: 10.1016/j.neubiorev.2012.01.004. Epub 2012 Jan 28. Review.

PMID:
22305994
48.

Dissociable effects of methylphenidate, atomoxetine and placebo on regional cerebral blood flow in healthy volunteers at rest: a multi-class pattern recognition approach.

Marquand AF, O'Daly OG, De Simoni S, Alsop DC, Maguire RP, Williams SC, Zelaya FO, Mehta MA.

Neuroimage. 2012 Apr 2;60(2):1015-24. doi: 10.1016/j.neuroimage.2012.01.058. Epub 2012 Jan 14.

49.

Patient classification as an outlier detection problem: an application of the One-Class Support Vector Machine.

Mourão-Miranda J, Hardoon DR, Hahn T, Marquand AF, Williams SC, Shawe-Taylor J, Brammer M.

Neuroimage. 2011 Oct 1;58(3):793-804. doi: 10.1016/j.neuroimage.2011.06.042. Epub 2011 Jun 24.

50.

Pattern classification of working memory networks reveals differential effects of methylphenidate, atomoxetine, and placebo in healthy volunteers.

Marquand AF, De Simoni S, O'Daly OG, Williams SC, Mourão-Miranda J, Mehta MA.

Neuropsychopharmacology. 2011 May;36(6):1237-47. doi: 10.1038/npp.2011.9. Epub 2011 Feb 23.

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