Pattern classification of valence in depression

NeuroImage: Clinical

Volumn 2, Issue 1, 2013, Pages 675-683

  Habes, I ^a,d   Krall, S C ^a,e   Johnston, S J ^b   Yuen, K S L ^c   Healy, D ^d   Goebel, R ^e   Sorger, B ^e   Linden, D E J ^a,d  

^a CARDIFF UNIVERSITY   (United Kingdom)

^b BRUNEL UNIVERSITY   (United Kingdom)

^c UNIVERSITY MEDICAL CENTER HAMBURG EPPENDORF   (Germany)

^d CARDIFF UNIVERSITY   (United Kingdom)

^e MAASTRICHT UNIVERSITY   (Netherlands)

Author keywords

Affect; Depression; Emotion; LDA; MVPA; Valence

Indexed keywords

ACCURACY; ADULT; AGED; AMYGDALOID NUCLEUS; ARTICLE; BRAIN FUNCTION; CAUDATE NUCLEUS; CLINICAL ARTICLE; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; EMOTION; FEMALE; FRONTAL CORTEX; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; MAJOR DEPRESSION; MALE; MENTAL PATIENT; PREFRONTAL CORTEX; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE; THALAMUS DORSOMEDIAL NUCLEUS; VALENCE; VISUAL STIMULATION; CINGULATE GYRUS; CLASSIFICATION ALGORITHM; DEPRESSION; FOLLOW UP; HIPPOCAMPUS; PROTEIN EXPRESSION; VISUAL CORTEX;

EID: 84878367548     PISSN: None     EISSN: 22131582     Source Type: Journal    
DOI: 10.1016/j.nicl.2013.05.001     Document Type: Article

References (53)

1. M.L. Anderson, and T. Oates A critique of multi-voxel pattern analysis Proceedings of the 32nd Annual Meeting of the Cognitive Science Society 2010
2. L.B. Baucom, D.H. Wedell, J. Wang, D.N. Blitzer, and S.V. Shinkareva Decoding the neural representation of affective states NeuroImage 59 2012 718 727
3. A.I. Belousov, S.A. Verzakov, and J. Von Frese A flexible classification approach with optimal generalisation performance: support vector machines Chemometrics and Intelligent Laboratory Systems 64 2002 15 25 (Pubitemid 35304556)
4. R. Craddock, P. Holtzheimer III, X. Hu, and H. Mayberg Disease state prediction from resting state functional connectivity 1645 Magnetic Resonance in Medicine 62 2009 1619 1628
5. A. Damasio Emotion in the perspective of an integrated nervous system Brain Research Reviews 26 1998 83 86 (Pubitemid 28318066)
6. C. Davatzikos, K. Ruparel, Y. Fan, D.G. Shen, M. Acharyya, J.W. Loughead, R.C. Gur, and D.D. Langleben Classifying spatial patterns of brain activity with machine learning methods: application to lie detection NeuroImage 28 2005 663 668 (Pubitemid 41540374)
7. F. De Martino, G. Valente, N. Staeren, J. Ashburner, R. Goebel, and E. Formisano Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns NeuroImage 43 2008 44 58
8. W.C. Drevets Neuroimaging and neuropathological studies of depression: implications for the cognitive-emotional features of mood disorders Current Opinion in Neurobiology 11 2001 240 249 (Pubitemid 32289413)
9. P. Ekman An argument for basic emotions Cognition Emotion 6 1992 169 200
10. M. First, R. Spitzer, M. Gibbon, and J. Williams Structured Clinical Interview for DSM-IV-TR Axis I Disorders Research Version 2002 Biometrics Research, New York State Psychiatric Institute New York
11. C.H.Y. Fu, J. Mourao-Miranda, S.G. Costafreda, A. Khanna, A.F. Marquand, S.C.R. Williams, and M.J. Brammer Pattern classification of sad facial processing: toward the development of neurobiological markers in depression Biological Psychiatry 63 2008 656 662 (Pubitemid 351329278)
12. A.B.M. Gerdes, M.J. Wieser, A. Mühlberger, P. Weyers, G.W. Alpers, M.M. Plichta, F. Breuer, and P. Pauli Brain activations to emotional pictures are differentially associated with valence and arousal ratings Frontiers in Human Neuroscience 4 2010 175
13. K. Goldapple, Z. Segal, C. Garson, M. Lau, P. Bieling, and S. Kennedy Modulation of cortical-limbic pathways in major depression Archives of General Psychiatry 61 2004 34 41
14. S. Grimm, J. Beck, D. Schuepbach, D. Hell, P. Boesiger, F. Bermpohl, L. Niehaus, H. Boeker, and G. Northoff Imbalance between left and right dorsolateral prefrontal cortex in major depression is linked to negative emotional judgment: an fMRI study in severe major depressive disorder Biological Psychiatry 63 2008 369 376
15. T. Hahn, A.F. Marquand, A.-C. Ehlis, T. Dresler, S. Kittel-Schneider, T.A. Jarczok, K.-P. Lesch, P.M. Jakob, J. Mourao-Miranda, M.J. Brammer, and A.J. Fallgatter Integrating neurobiological markers of depression Archives of General Psychiatry 68 2011 361 368
16. M. Hanke, Y.O. Halchenko, P.B. Sederberg, S. José, J.V. Haxby, and S. Pollmann PyMVPA: a python toolbox for multivariate pattern analysis of fMRI data Neuoinfomatics 7 2009 37 53
17. J.V. Haxby, M.I. Gobbini, M.L. Furey, A. Ishai, J.L. Schouten, and P. Pietrini Distributed and overlapping representations of faces and objects in ventral temporal cortex Science 293 2001 2425 2430 (Pubitemid 32917318)
18. J.-D. Haynes, and G. Rees Predicting the orientation of invisible stimuli from activity in human primary visual cortex Nature Neuroscience 8 2005 686 691 (Pubitemid 40594212)
19. N. Ihssen, W.M. Cox, A. Wiggett, J.S. Fadardi, and D.E.J. Linden Differentiating heavy from light drinkers by neural responses to visual alcohol cues and other motivational stimuli Cerebral Cortex 21 2011 1408 1415
20. S. Johnston, D.E.J. Linden, D. Healy, R. Goebel, I. Habes, and S.G. Boehm Upregulation of emotion areas through neurofeedback with a focus on positive mood Cognitive, Affective, & Behavioral Neuroscience 11 2011 44 51
21. S.J. Johnston, S.G. Boehm, D. Healy, R. Goebel, and D.E.J. Linden Neurofeedback: a promising tool for the self-regulation of emotion networks NeuroImage 49 2010 1066 1072
22. P.A. Keedwell, and D.E.J. Linden Integrative neuroimaging in mood disorders Current Opinion in Psychiatry 26 2013 27 32
23. E. Kensinger, and D.L. Schacter Processing emotional pictures and words: effects of valence and arousal Cognitive, Affective, & Behavioral Neuroscience 6 2006 110 126 (Pubitemid 44350138)
24. S.M. LaConte Decoding fMRI brain states in real-time NeuroImage 56 2011 440 454
25. P. Lang, and M. Bradley The International Affective Picture System (IAPS) in the study of emotion and attention J. Coan, J. Allen, Handbook of Emotion Elicitation and Assessment 2007 Oxford University Press 29 46
26. P.J. Lang, M.M. Bradley, and Cuthbert B. International Affective Picture System (IAPS): Technical Manual and Affective Ratings 1999 Center for the Study of Emotion and Attention Gainesville, FL
27. Y. Li, J. Long, L. He, H. Lu, Z. Gu, and P. Sun A sparse representation-based algorithm for pattern localization in brain imaging data analysis PLoS One 7 2012 e50332
28. D.E.J. Linden The challenges and promise of neuroimaging in psychiatry Neuron 73 2012 8 22
29. D.E.J. Linden, I. Habes, S.J. Johnston, S. Linden, R. Tatineni, L. Subramanian, B. Sorger, D. Healy, and R. Goebel Real-time self-regulation of emotion networks in patients with depression PloS One 7 2012 e38115
30. A.F. Marquand, J. Mourão-Miranda, M.J. Brammer, A.J. Cleare, and C.H.Y. Fu Neuroanatomy of verbal working memory as a diagnostic biomarker for depression Neuroreport 19 2008 1507 1511
31. M. Misaki, Y. Kim, P.A. Bandettini, and Kriegeskorte N. Comparison of multivariate classifiers and response normalization for pattern-information fMRI NeuroImage 53 2010 103 118
32. T.M. Mitchell, R. Hutchinson, R.S. Niculescu, F. Pereira, X. Wang, M. Just, and S. Newman Learning to decode cognitive states from brain images Machine Learning 57 2004 145 175
33. J. Mourão-Miranda, J.R.C. Almeida, S. Hassel, L. De Oliveira, A. Versace, A.F. Marquand, J.R. Sato, M. Brammer, and M.L. Phillips Pattern recognition analyses of brain activation elicited by happy and neutral faces in unipolar and bipolar depression Bipolar Disorders 14 2012 451 460
34. J. Mourão-Miranda, A.L.W. Bokde, C. Born, H. Hampel, and M. Stetter Classifying brain states and determining the discriminating activation patterns: support vector machine on functional MRI data NeuroImage 28 2005 980 995 (Pubitemid 41713632)
35. J. Mourão-Miranda, L. Oliveira, C.D. Ladouceur, A. Marquand, M. Brammer, B. Birmaher, D. Axelson, and M.L. Phillips Pattern recognition and functional neuroimaging help to discriminate healthy adolescents at risk for mood disorders from low risk adolescents PLoS One 7 2012 e29482
36. F.C. Murphy, I. Nimmo-Smith, and A.D. Lawrence Functional neuroanatomy of emotions: a meta-analysis Cognitive, Affective, & Behavioral Neuroscience 3 2003 207 233 (Pubitemid 38620283)
37. K.A. Norman, S.M. Polyn, G.J. Detre, and J.V. Haxby Beyond mind-reading: multi-voxel pattern analysis of fMRI data Trends in Cognitive Science 10 2006 424 430 (Pubitemid 44308461)
38. K.N. Ochsner, and J.J. Gross The cognitive control of emotion Trends in Cognitive Science 9 2005 242 249 (Pubitemid 40615112)
39. K.L. Phan, T. Wager, S.F. Taylor, and I. Liberzon Functional neuroanatomy of emotion: a meta-analysis of emotion activation studies in PET and fMRI NeuroImage 16 2002 331 348 (Pubitemid 34852450)
40. M.L. Phillips, W.C. Drevets, S.L. Rauch, and R. Lane Neurobiology of emotion perception II: implications for major psychiatric disorders Biological Psychiatry 54 2003 515 528 (Pubitemid 37289438)
41. P. Pinel, M. Piazza, D. Le Bihan, and S. Dehaene Distributed and overlapping cerebral representations of number, size, and luminance during comparative judgments Neuron 41 2004 983 993 (Pubitemid 38429740)
42. I.J. Roseman, M.S. Spindel, and P.E. Jose Appraisals of emotion-eliciting events: testing a theory of discrete emotions Journal of Personality and Social Psychology 59 1990 899 915
43. Russell A circumplex model of affect Journal of Personality and Social Psychology 39 1980 1066 1072
44. S. Schachter, and J.E. Singer Cognitive, social and physiological determinants of emotional state Psychology Review 69 1962 379 399
45. K. Shibata, T. Watanabe, Y. Sasaki, and Kawato M. Perceptual learning incepted by decoded fMRI neurofeedback without stimulus presentation Science 334 2011 1413 1415
46. G.J. Siegle, S.R. Steinhauer, M.E. Thase, V.A. Stenger, and C.S. Carter Can't shake that feeling: event-related fMRI assessment of sustained amygdala activity in response to emotional information in depressed individuals Biological Psychiatry 51 2002 693 707 (Pubitemid 34450805)
47. J.P. Simmons, L.D. Nelson, and U. Simonsohn False-positive psychology: undisclosed flexibility in data collection and analysis allows presenting anything as significant Psychological Science 22 2011 1359 1366
48. R. Sitaram, S. Lee, S. Ruiz, M. Rana, R. Veit, and N. Birbaumer Real-time support vector classification and feedback of multiple emotional brain states NeuroImage 56 2011 753 765
49. J. Talairach, and P. Tournoux Co-planar Stereotaxic Atlas of the Human Brain: 3-Dimensional Proportional System: an Approach to Cerebral Imaging 1988 Thieme Medical Publishers Stuttgart
50. J.H. Yoon, D. Tamir, M.J. Minzenberg, J.D. Ragland, S. Ursu, and C.S. Carter Multivariate pattern analysis of functional magnetic resonance imaging data reveals deficits in distributed representations in schizophrenia Biological Psychiatry 64 2008 1035 1041
51. K.S.L. Yuen, S.J. Johnston, F. Martino, B. Sorger, E. Formisano, D.E.J. Linden, and R. Goebel Pattern classification predicts individuals' responses to affective stimuli Translational Neuroscience 3 2012 278 287
52. L. Zhang, D. Samaras, S. Brook, D. Tomasi, N. Volkow, and R. Goldstein Machine Learning for Clinical Diagnosis from Functional Magnetic Resonance Imaging Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition CVPR 2005
53. C.Z. Zhu, Y.F. Zang, M. Liang, L.X. Tian, Y. He, X.B. Li, M.Q. Sui, Y.F. Wang, and T.Z. Jiang Discriminative analysis of brain function at resting-state for attention-deficit/hyperactivity disorder Medical Image Computing and Computer-assisted Intervention: MICCAI. International Conference on Medical Image Computing and Computer-Assisted Intervention 8 2005 468 475 (Pubitemid 43828398)