title: Model-based feature construction for multivariate decoding.
abstract: Conventional decoding methods in neuroscience aim to predict discrete brain states from multivariate correlates of neural activity. This approach faces two important challenges. First, a small number of examples are typically represented by a much larger number of features, making it hard to select the few informative features that allow for accurate predictions. Second, accuracy estimates and information maps often remain descriptive and can be hard to interpret. In this paper, we propose a model-based decoding approach that addresses both challenges from a new angle. Our method involves (i) inverting a dynamic causal model of neurophysiological data in a trial-by-trial fashion; (ii) training and testing a discriminative classifier on a strongly reduced feature space derived from trial-wise estimates of the model parameters; and (iii) reconstructing the separating hyperplane. Since the approach is model-based, it provides a principled dimensionality reduction of the feature space; in addition, if the model is neurobiologically plausible, decoding results may offer a mechanistically meaningful interpretation. The proposed method can be used in conjunction with a variety of modelling approaches and brain data, and supports decoding of either trial or subject labels. Moreover, it can supplement evidence-based approaches for model-based decoding and enable structural model selection in cases where Bayesian model selection cannot be applied. Here, we illustrate its application using dynamic causal modelling (DCM) of electrophysiological recordings in rodents. We demonstrate that the approach achieves significant above-chance performance and, at the same time, allows for a neurobiological interpretation of the results.
authors.affiliation: Department of Computer Science, ETH Zurich, Zurich, Switzerland. kay.brodersen@inf.ethz.ch
authors.forename: Kay H
authors.initials: KH
authors.lastname: Brodersen
authors.forename: Florent
authors.initials: F
authors.lastname: Haiss
authors.forename: Cheng Soon
authors.initials: CS
authors.lastname: Ong
authors.forename: Fabienne
authors.initials: F
authors.lastname: Jung
authors.forename: Marc
authors.initials: M
authors.lastname: Tittgemeyer
authors.forename: Joachim M
authors.initials: JM
authors.lastname: Buhmann
authors.forename: Bruno
authors.initials: B
authors.lastname: Weber
authors.forename: Klaas E
authors.initials: KE
authors.lastname: Stephan
mesh_terms: D000818:Animals; D001921:Brain / Q000502:physiology*; D003198:Computer Simulation; D008959:Models, Neurological; D051381:Rats
references.citation: Nat Neurosci. 2005 May;8(5):686-91
references.pmid: 15852013
references.citation: Neuroimage. 2011 May 15;56(2):814-25
references.pmid: 20600976
references.citation: PLoS Comput Biol. 2008 Oct;4(10):e1000173
references.pmid: 18974822
references.citation: Proc Natl Acad Sci U S A. 2007 Dec 18;104(51):20600-5
references.pmid: 18077383
references.citation: Nature. 2008 Aug 21;454(7207):995-9
references.pmid: 18650810
references.citation: Neuron. 2009 Sep 24;63(6):902-15
references.pmid: 19778517
references.citation: Neuroimage. 2011 Sep 15;58(2):303-5; author reply 310-1
references.pmid: 19770049
references.citation: Hum Brain Mapp. 2009 Jun;30(6):1866-76
references.pmid: 19360734
references.citation: Neuroimage. 2008 Jan 1;39(1):181-205
references.pmid: 17919928
references.citation: Neuroimage. 2009 Apr 1;45(2):606-13
references.pmid: 19111624
references.citation: Neural Netw. 2008 Nov;21(9):1247-60
references.pmid: 18835129
references.citation: Curr Biol. 2007 Feb 20;17(4):323-8
references.pmid: 17291759
references.citation: Neuroimage. 2008 Aug 15;42(2):649-62
references.pmid: 18565765
references.citation: Neuroimage. 2003 Jun;19(2 Pt 1):261-70
references.pmid: 12814577
references.citation: Curr Biol. 2006 Jun 6;16(11):1096-102
references.pmid: 16753563
references.citation: Proc Natl Acad Sci U S A. 2007 Jan 23;104(4):1377-82
references.pmid: 17227855
references.citation: Neuroimage. 2008 Oct 1;42(4):1414-29
references.pmid: 18598768
references.citation: Science. 2008 Nov 7;322(5903):970-3
references.pmid: 18988858
references.citation: Trends Neurosci. 2001 May;24(5):283-8
references.pmid: 11311381
references.citation: Neuroimage. 2009 Jul 1;46(3):665-76
references.pmid: 19285139
references.citation: Cereb Cortex. 1991 Jan-Feb;1(1):1-47
references.pmid: 1822724
references.citation: J Neurosci. 2007 Nov 21;27(47):12893-9
references.pmid: 18032662
references.citation: Science. 2005 Dec 23;310(5756):1963-6
references.pmid: 16373577
references.citation: Trends Cogn Sci. 2006 Mar;10(3):93-4
references.pmid: 16460994
references.citation: Proc Natl Acad Sci U S A. 2006 Mar 7;103(10):3863-8
references.pmid: 16537458
references.citation: Neuroimage. 2008 Aug 1;42(1):272-84
references.pmid: 18515149
references.citation: Nature. 2008 Mar 20;452(7185):352-5
references.pmid: 18322462
references.citation: Neuroimage. 2010 Jun;51(2):752-64
references.pmid: 20188193
references.citation: Neuroimage. 2010 Jan 1;49(1):947-55
references.pmid: 19703570
references.citation: Neuroimage. 2009 Feb 1;44(3):796-811
references.pmid: 19000769
references.citation: Clin Neurophysiol. 2009 Mar;120(3):453-63
references.pmid: 19181570
references.citation: Comput Intell Neurosci. 2007;:25487
references.pmid: 18274615
references.citation: Schizophr Bull. 2009 May;35(3):509-27
references.pmid: 19155345
references.citation: IEEE Trans Neural Syst Rehabil Eng. 2008 Dec;16(6):539-48
references.pmid: 19144586
references.citation: Biol Psychiatry. 2005 Oct 15;58(8):605-13
references.pmid: 16185668
references.citation: Science. 2008 May 30;320(5880):1191-5
references.pmid: 18511683
references.citation: Nat Neurosci. 2005 May;8(5):679-85
references.pmid: 15852014
references.citation: J Neurosci. 2009 Nov 4;29(44):13837-49
references.pmid: 19889995
references.citation: Neuroimage. 2003 Aug;19(4):1273-302
references.pmid: 12948688
references.citation: Neuroimage. 2006 May 1;30(4):1255-72
references.pmid: 16473023
references.citation: Biol Cybern. 1995 Sep;73(4):357-66
references.pmid: 7578475
references.citation: Neuroimage. 2009 Jul 15;46(4):1004-17
references.pmid: 19306932
references.citation: Neuroimage. 2003 Nov;20(3):1743-55
references.pmid: 14642484
references.citation: Science. 2009 Oct 23;326(5952):596-9
references.pmid: 19745115
references.citation: AMIA Annu Symp Proc. 2003;:465-9
references.pmid: 14728216
references.citation: Prog Brain Res. 2007;165:493-507
references.pmid: 17925266
references.citation: J Biosci. 2007 Jan;32(1):129-44
references.pmid: 17426386
references.citation: Neuroimage. 2007 Jun;36(2):332-45
references.pmid: 17462916
references.citation: Neuron. 2008 Dec 10;60(5):915-29
references.pmid: 19081384
references.citation: Neuroimage. 2007 Jan 1;34(1):220-34
references.pmid: 17055746
references.citation: Neurocase. 2008;14(1):82-92
references.pmid: 18569734
references.citation: Neuroimage. 2005 Dec;28(4):980-95
references.pmid: 16275139
references.citation: Neuroimage. 2004 Jul;22(3):1157-72
references.pmid: 15219588
references.citation: Neuroimage. 2007 Nov 15;38(3):387-401
references.pmid: 17884583
references.citation: Neuroimage. 2008 Aug 15;42(2):936-44
references.pmid: 18602841
references.citation: Curr Biol. 2009 Apr 14;19(7):546-54
references.pmid: 19285400
references.citation: Neuroimage. 2005 Nov 15;28(3):663-8
references.pmid: 16169252
references.citation: Nat Neurosci. 2009 Jul;12(7):932-8
references.pmid: 19483688
references.citation: Nature. 2009 Apr 2;458(7238):632-5
references.pmid: 19225460