메뉴 건너뛰기




Volumn 128, Issue , 2016, Pages 96-115

Why more is better: Simultaneous modeling of EEG, fMRI, and behavioral data

Author keywords

Bayesian modeling; EEG; FMRI; Joint modeling framework; Linear ballistic accumulator model

Indexed keywords

ADULT; ARTICLE; BIVARIATE JOINT MODEL; BOLD SIGNAL; COGNITION; ELECTROENCEPHALOGRAPHY; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; INTERMETHOD COMPARISON; MALE; MEASUREMENT ACCURACY; NORMAL HUMAN; PREDICTION; PRIORITY JOURNAL; PROCESS MODEL; TASK PERFORMANCE; BAYES THEOREM; BIOLOGICAL MODEL; BRAIN; BRAIN MAPPING; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES;

EID: 84954288617     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2015.12.030     Document Type: Article
Times cited : (71)

References (80)
  • 1
    • 33646104665 scopus 로고    scopus 로고
    • Estimation of the timing of human visual perception from magnetoencephalography
    • Amano K., Goda N., Nishida S., Ejima Y., Takeda T., Ohtani Y. Estimation of the timing of human visual perception from magnetoencephalography. J. Neurosci. 2006, 26:3981-3991.
    • (2006) J. Neurosci. , vol.26 , pp. 3981-3991
    • Amano, K.1    Goda, N.2    Nishida, S.3    Ejima, Y.4    Takeda, T.5    Ohtani, Y.6
  • 3
    • 33947192939 scopus 로고    scopus 로고
    • Evaluation of cortical current density imaging methods using intracranial electrocorticograms and functional MRI
    • Bai X., Towle V.L., He E.J., He B. Evaluation of cortical current density imaging methods using intracranial electrocorticograms and functional MRI. NeuroImage 2007, 35:598-608.
    • (2007) NeuroImage , vol.35 , pp. 598-608
    • Bai, X.1    Towle, V.L.2    He, E.J.3    He, B.4
  • 4
    • 14244251502 scopus 로고    scopus 로고
    • Tensorial extensions of independent component analysis for multi-subject fMRI analysis
    • Beckmann C.F., Smith S.M. Tensorial extensions of independent component analysis for multi-subject fMRI analysis. NeuroImage 2005, 25:294-311.
    • (2005) NeuroImage , vol.25 , pp. 294-311
    • Beckmann, C.F.1    Smith, S.M.2
  • 5
    • 84899933640 scopus 로고    scopus 로고
    • Trial-by-trial fluctuations in CNV amplitude reflect anticipatory adjustment of response caution
    • Boehm U., Van Maanen L., Forstmann B., Van Rijn H. Trial-by-trial fluctuations in CNV amplitude reflect anticipatory adjustment of response caution. NeuroImage 2014, 96:95-105.
    • (2014) NeuroImage , vol.96 , pp. 95-105
    • Boehm, U.1    Van Maanen, L.2    Forstmann, B.3    Van Rijn, H.4
  • 6
    • 52749091564 scopus 로고    scopus 로고
    • The simplest complete model of choice reaction time: linear ballistic accumulation
    • Brown S., Heathcote A. The simplest complete model of choice reaction time: linear ballistic accumulation. Cogn. Psychol. 2008, 57:153-178.
    • (2008) Cogn. Psychol. , vol.57 , pp. 153-178
    • Brown, S.1    Heathcote, A.2
  • 7
    • 0027637720 scopus 로고
    • Decision Field Theory: a dynamic-cognitive approach to decision making in an uncertain environment
    • Busemeyer J., Townsend J. Decision Field Theory: a dynamic-cognitive approach to decision making in an uncertain environment. Psychol. Rev. 1993, 100:432-459.
    • (1993) Psychol. Rev. , vol.100 , pp. 432-459
    • Busemeyer, J.1    Townsend, J.2
  • 10
    • 65549097795 scopus 로고    scopus 로고
    • A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data
    • Calhoun V.D., Liu J., Adali T. A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data. NeuroImage 2009, 45:163-172.
    • (2009) NeuroImage , vol.45 , pp. 163-172
    • Calhoun, V.D.1    Liu, J.2    Adali, T.3
  • 11
    • 77951964316 scopus 로고    scopus 로고
    • Aberrant processing of deviant stimuli in schizophrenia revealed by fusion of fMRI and EEG data
    • Calhoun V., Wu L., Kiehl K., Eichele T., Pearlson G. Aberrant processing of deviant stimuli in schizophrenia revealed by fusion of fMRI and EEG data. Acta Neuropsychiatry 2011, 22:127-138.
    • (2011) Acta Neuropsychiatry , vol.22 , pp. 127-138
    • Calhoun, V.1    Wu, L.2    Kiehl, K.3    Eichele, T.4    Pearlson, G.5
  • 14
    • 60549115613 scopus 로고    scopus 로고
    • Canonical correlation analysis for feature based fusion of biomedical imaging modalities and its application to detection of associative networks in schizophrenia
    • Correa N.M., Li Y., Adali T., Calhoun V.D. Canonical correlation analysis for feature based fusion of biomedical imaging modalities and its application to detection of associative networks in schizophrenia. J. Sel. Top. Sign. Proces. 2008, 2:998-1007.
    • (2008) J. Sel. Top. Sign. Proces. , vol.2 , pp. 998-1007
    • Correa, N.M.1    Li, Y.2    Adali, T.3    Calhoun, V.D.4
  • 15
    • 85032751181 scopus 로고    scopus 로고
    • Canonical correlation analysis for data fusion and group inferences: examining applications of medical imaging data
    • Correa N.M., Adali T., Li Y., Calhoun V.D. Canonical correlation analysis for data fusion and group inferences: examining applications of medical imaging data. Signal Process. Mag. 2010, 27:39-50.
    • (2010) Signal Process. Mag. , vol.27 , pp. 39-50
    • Correa, N.M.1    Adali, T.2    Li, Y.3    Calhoun, V.D.4
  • 16
    • 77950594241 scopus 로고    scopus 로고
    • Multi-set canonical correlation analysis for the fusion of concurrent single trial ERP and functional MRI
    • Correa N.M., Eichele T., Adali T., Li Y., Calhoun V.D. Multi-set canonical correlation analysis for the fusion of concurrent single trial ERP and functional MRI. NeuroImage 2010, 50:1438-1445.
    • (2010) NeuroImage , vol.50 , pp. 1438-1445
    • Correa, N.M.1    Eichele, T.2    Adali, T.3    Li, Y.4    Calhoun, V.D.5
  • 17
    • 84937852570 scopus 로고    scopus 로고
    • How to use fMRI functional localizers to improve EEG/MEG source estimation
    • Cottereau B.R., Ales J.M., Norcia A.M. How to use fMRI functional localizers to improve EEG/MEG source estimation. J. Neurosci. Methods 2015, 250:64-73.
    • (2015) J. Neurosci. Methods , vol.250 , pp. 64-73
    • Cottereau, B.R.1    Ales, J.M.2    Norcia, A.M.3
  • 21
    • 1242283941 scopus 로고    scopus 로고
    • EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
    • Delorme A., Makeig S. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J. Neurosci. Methods 2004, 134:9-21.
    • (2004) J. Neurosci. Methods , vol.134 , pp. 9-21
    • Delorme, A.1    Makeig, S.2
  • 22
    • 79957799519 scopus 로고    scopus 로고
    • A comparison between mechanisms of multi-alternative perceptual decision making: ability to explain human behavior, predictions for neurophysiology, and relationship with decision theory
    • Ditterich J. A comparison between mechanisms of multi-alternative perceptual decision making: ability to explain human behavior, predictions for neurophysiology, and relationship with decision theory. Front. Neurosci. 2010, 4:184.
    • (2010) Front. Neurosci. , vol.4 , pp. 184
    • Ditterich, J.1
  • 23
    • 29144470047 scopus 로고    scopus 로고
    • Assessing the spatiotemporal evolution of neuronal activation with single-trial event-related potentials and functional
    • Eichele T., Specht K., Moosmann M., Jongsma M.L., Quiroga R.Q., Nordby H.E.A. Assessing the spatiotemporal evolution of neuronal activation with single-trial event-related potentials and functional. MRI 2005, 102:17798-17803.
    • (2005) MRI , vol.102 , pp. 17798-17803
    • Eichele, T.1    Specht, K.2    Moosmann, M.3    Jongsma, M.L.4    Quiroga, R.Q.5    Nordby, H.E.A.6
  • 29
    • 79957858166 scopus 로고    scopus 로고
    • Reciprocal relations between cognitive neuroscience an formal cognitive models: opposites attract?
    • Forstmann B.U., Wagenmakers E.J., Eichele T., Brown S., Serences J.T. Reciprocal relations between cognitive neuroscience an formal cognitive models: opposites attract?. Trends Cogn. Sci. 2011, 15:272-279.
    • (2011) Trends Cogn. Sci. , vol.15 , pp. 272-279
    • Forstmann, B.U.1    Wagenmakers, E.J.2    Eichele, T.3    Brown, S.4    Serences, J.T.5
  • 36
    • 84943539886 scopus 로고    scopus 로고
    • An Introduction to Good Practices in Cognitive Modeling
    • Springer, New York, B.U. Forstmann, E.J. Wagenmakers (Eds.)
    • Heathcote A., Brown S.D., Wagemakers E.J. An Introduction to Good Practices in Cognitive Modeling. An Introduction to Model-based Cognitive Neuroscience 2015, 25-48. Springer, New York. B.U. Forstmann, E.J. Wagenmakers (Eds.).
    • (2015) An Introduction to Model-based Cognitive Neuroscience , pp. 25-48
    • Heathcote, A.1    Brown, S.D.2    Wagemakers, E.J.3
  • 38
    • 84860338976 scopus 로고    scopus 로고
    • Methods for simultaneous EEG-fMRI: an introductory review
    • Huster R.J., Debener S., Eichele T., Herrmann C.S. Methods for simultaneous EEG-fMRI: an introductory review. J. Neurosci. 2013, 32:6053-6060.
    • (2013) J. Neurosci. , vol.32 , pp. 6053-6060
    • Huster, R.J.1    Debener, S.2    Eichele, T.3    Herrmann, C.S.4
  • 39
    • 32444449417 scopus 로고    scopus 로고
    • Principal components analysis of Laplacian waveforms as a generic method for identifying ERP generator patterns: II. Adequacy of low-density estimates
    • Kayser J., Tenke C.E. Principal components analysis of Laplacian waveforms as a generic method for identifying ERP generator patterns: II. Adequacy of low-density estimates. Clin. Neurophysiol. 2006, 117:369-380.
    • (2006) Clin. Neurophysiol. , vol.117 , pp. 369-380
    • Kayser, J.1    Tenke, C.E.2
  • 40
    • 67650532097 scopus 로고    scopus 로고
    • One-year temporal stability of delay-discount rates
    • Kirby K.N. One-year temporal stability of delay-discount rates. Psychon. Bull. Rev. 2009, 16:457-462.
    • (2009) Psychon. Bull. Rev. , vol.16 , pp. 457-462
    • Kirby, K.N.1
  • 41
    • 79955023796 scopus 로고    scopus 로고
    • Partial least squares (PLS) methods for neuroimaging: a tutorial and review
    • Krishnan A., Williams L.J., McIntosh A., Abdi H. Partial least squares (PLS) methods for neuroimaging: a tutorial and review. NeuroImage 2015, 56:455-475.
    • (2015) NeuroImage , vol.56 , pp. 455-475
    • Krishnan, A.1    Williams, L.J.2    McIntosh, A.3    Abdi, H.4
  • 43
    • 0142011012 scopus 로고    scopus 로고
    • Multivariate analysis of neuronal interactions in the generalized partial least squares framework: simulations and empirical studies
    • Lin F.H., McIntosh A.R., Agnew J.A., Eden G.F., Zeffiro T.A., Belliveau J.W. Multivariate analysis of neuronal interactions in the generalized partial least squares framework: simulations and empirical studies. NeuroImage 2003, 20:625-642.
    • (2003) NeuroImage , vol.20 , pp. 625-642
    • Lin, F.H.1    McIntosh, A.R.2    Agnew, J.A.3    Eden, G.F.4    Zeffiro, T.A.5    Belliveau, J.W.6
  • 44
    • 36349001677 scopus 로고    scopus 로고
    • Parallel independent component analysis for multimodal analysis: application to fMRI and EEG data
    • Liu J., Calhoun V.D. Parallel independent component analysis for multimodal analysis: application to fMRI and EEG data. Proceedings of IEEE ISBI conference 2007.
    • (2007) Proceedings of IEEE ISBI conference
    • Liu, J.1    Calhoun, V.D.2
  • 45
    • 84928560654 scopus 로고    scopus 로고
    • The algorithmic level is the bridge between computation and brain
    • Love B.C. The algorithmic level is the bridge between computation and brain. Top. Cogn. Sci. 2015, 7.
    • (2015) Top. Cogn. Sci. , vol.7
    • Love, B.C.1
  • 46
    • 84886236189 scopus 로고    scopus 로고
    • Decoding the brain's algorithm for categorization from its neural implementation
    • Mack M.L., Preston A.R., Love B.C. Decoding the brain's algorithm for categorization from its neural implementation. Curr. Biol. 2013, 23:2023-2027.
    • (2013) Curr. Biol. , vol.23 , pp. 2023-2027
    • Mack, M.L.1    Preston, A.R.2    Love, B.C.3
  • 47
    • 84900525659 scopus 로고    scopus 로고
    • Topographic factor analysis: a Bayesian model for inferring brain networks from neural data
    • Manning J.R., Ranganath R., Norman K.A., Blei D.A. Topographic factor analysis: a Bayesian model for inferring brain networks from neural data. PLoS One 2014, 9.
    • (2014) PLoS One , vol.9
    • Manning, J.R.1    Ranganath, R.2    Norman, K.A.3    Blei, D.A.4
  • 50
    • 84857069353 scopus 로고    scopus 로고
    • Bias in the brain: a diffusion model analysis of prior probability and potential payoff
    • Mulder M.J., Wagenmakers E.J., Ratcliff R., Boekel W., Forstmann B.U. Bias in the brain: a diffusion model analysis of prior probability and potential payoff. J. Neurosci. 2012, 32:2335-2343.
    • (2012) J. Neurosci. , vol.32 , pp. 2335-2343
    • Mulder, M.J.1    Wagenmakers, E.J.2    Ratcliff, R.3    Boekel, W.4    Forstmann, B.U.5
  • 53
    • 84926459494 scopus 로고    scopus 로고
    • Individual differences in attention influence perceptual decision making
    • Nunez M.D., Srinivasan R., Vandekerckhove J. Individual differences in attention influence perceptual decision making. Front. Psychol. 2015, 8:1-13.
    • (2015) Front. Psychol. , vol.8 , pp. 1-13
    • Nunez, M.D.1    Srinivasan, R.2    Vandekerckhove, J.3
  • 54
    • 84954259114 scopus 로고    scopus 로고
    • Neurocognitive Modelling of Perceptual Decisions
    • Oxford University Press, J.R. Busemeyer, J. Townsend, Z.J. Wang, A. Eidels (Eds.)
    • Palmeri T., Schall J., Logan G. Neurocognitive Modelling of Perceptual Decisions. Oxford Handbook of Computational and Mathematical Psychology 2015, Oxford University Press. J.R. Busemeyer, J. Townsend, Z.J. Wang, A. Eidels (Eds.).
    • (2015) Oxford Handbook of Computational and Mathematical Psychology
    • Palmeri, T.1    Schall, J.2    Logan, G.3
  • 55
    • 41149087694 scopus 로고    scopus 로고
    • CODA: convergence diagnosis and output analysis for MCMC
    • Plummer M., Best N., Cowles K., Vines K. CODA: convergence diagnosis and output analysis for MCMC. R News 2006, 6:7-11. (URL: http://CRAN.R-project.org/doc/Rnews/).
    • (2006) R News , vol.6 , pp. 7-11
    • Plummer, M.1    Best, N.2    Cowles, K.3    Vines, K.4
  • 57
    • 58149404021 scopus 로고
    • A theory of memory retrieval
    • Ratcliff R. A theory of memory retrieval. Psychol. Rev. 1978, 85:59-108.
    • (1978) Psychol. Rev. , vol.85 , pp. 59-108
    • Ratcliff, R.1
  • 59
    • 84896538246 scopus 로고    scopus 로고
    • Intertemporal choice as discounted value accumulation
    • Rodriguez C.A., Turner B.M., McClure S.M. Intertemporal choice as discounted value accumulation. PLoS One 2014, 9.
    • (2014) PLoS One , vol.9
    • Rodriguez, C.A.1    Turner, B.M.2    McClure, S.M.3
  • 60
    • 85066374624 scopus 로고    scopus 로고
    • Frontoparietal cortex dynamics of value integration in intertemporal choice
    • (in preparation)
    • Rodriguez C.A., Norcia A.M., Cohen M.X., McClure S.M. Frontoparietal cortex dynamics of value integration in intertemporal choice. Manuscript 2015, (in preparation).
    • (2015) Manuscript
    • Rodriguez, C.A.1    Norcia, A.M.2    Cohen, M.X.3    McClure, S.M.4
  • 62
    • 31044444107 scopus 로고    scopus 로고
    • An introduction to Bayesian hierarchical models with an application in the theory of signal detection
    • Rouder J.N., Lu J. An introduction to Bayesian hierarchical models with an application in the theory of signal detection. Psychon. Bull. Rev. 2005, 12:573-604.
    • (2005) Psychon. Bull. Rev. , vol.12 , pp. 573-604
    • Rouder, J.N.1    Lu, J.2
  • 63
    • 23744457858 scopus 로고    scopus 로고
    • A hierarchical model for estimating response time distributions
    • Rouder J.N., Lu J., Speckman P., Sun D., Jiang Y. A hierarchical model for estimating response time distributions. Psychon. Bull. Rev. 2005, 12:195-223.
    • (2005) Psychon. Bull. Rev. , vol.12 , pp. 195-223
    • Rouder, J.N.1    Lu, J.2    Speckman, P.3    Sun, D.4    Jiang, Y.5
  • 64
    • 0034796381 scopus 로고    scopus 로고
    • Neural basis of a perceptual decision in the parietal cortex (area LIP) of the rhesus monkey
    • Shadlen M.N., Newsome W.T. Neural basis of a perceptual decision in the parietal cortex (area LIP) of the rhesus monkey. J. Neurophysiol. 2001, 86:1916-1936.
    • (2001) J. Neurophysiol. , vol.86 , pp. 1916-1936
    • Shadlen, M.N.1    Newsome, W.T.2
  • 65
    • 57549108651 scopus 로고    scopus 로고
    • A survey of model evaluation approaches with a tutorial on hierarchical Bayesian methods
    • Shiffrin R.M., Lee M.D., Kim W., Wagenmakers E.J. A survey of model evaluation approaches with a tutorial on hierarchical Bayesian methods. Cogn. Sci. 2008, 32:1248-1284.
    • (2008) Cogn. Sci. , vol.32 , pp. 1248-1284
    • Shiffrin, R.M.1    Lee, M.D.2    Kim, W.3    Wagenmakers, E.J.4
  • 66
    • 84855185464 scopus 로고    scopus 로고
    • A review of multivariate methods for multimodal fusion of brain imaging data
    • Sui J., Adali T., Yu Q., Chen J., Calhoun V.D. A review of multivariate methods for multimodal fusion of brain imaging data. J. Neurosci. Methods 2012, 204:68-81.
    • (2012) J. Neurosci. Methods , vol.204 , pp. 68-81
    • Sui, J.1    Adali, T.2    Yu, Q.3    Chen, J.4    Calhoun, V.D.5
  • 67
    • 79953010345 scopus 로고    scopus 로고
    • Economic value biases uncertain perceptual choices in the parietal and prefrontal cortices
    • Summerfield C., Koechlin E. Economic value biases uncertain perceptual choices in the parietal and prefrontal cortices. Front. Hum. Neurosci. 2010, 4:208. 10.3389/fnhum.2010.00208.
    • (2010) Front. Hum. Neurosci. , vol.4 , pp. 208
    • Summerfield, C.1    Koechlin, E.2
  • 69
    • 84944552330 scopus 로고    scopus 로고
    • Constraining cognitive abstractions through Bayesian modeling
    • Springer, New York, B.U. Forstmann, E.J. Wagenmakers (Eds.)
    • Turner B.M. Constraining cognitive abstractions through Bayesian modeling. An Introduction to Model-based Cognitive Neuroscience 2015, 199-220. Springer, New York. B.U. Forstmann, E.J. Wagenmakers (Eds.).
    • (2015) An Introduction to Model-based Cognitive Neuroscience , pp. 199-220
    • Turner, B.M.1
  • 71
    • 84883829687 scopus 로고    scopus 로고
    • A method for efficiently sampling from distributions with correlated dimensions
    • Turner B.M., Sederberg P.B., Brown S., Steyvers M. A method for efficiently sampling from distributions with correlated dimensions. Psychol. Methods 2013, 18:368-384.
    • (2013) Psychol. Methods , vol.18 , pp. 368-384
    • Turner, B.M.1    Sederberg, P.B.2    Brown, S.3    Steyvers, M.4
  • 72
    • 85066375487 scopus 로고    scopus 로고
    • Approaches of analysis in model-based cognitive neuroscience
    • (accepted) Journal of Mathematical Psychology
    • Turner B.M., Forstmann B.U., Love B., Palmeri T., Van Maanen L. Approaches of analysis in model-based cognitive neuroscience. Manuscript 2015, (accepted) Journal of Mathematical Psychology.
    • (2015) Manuscript
    • Turner, B.M.1    Forstmann, B.U.2    Love, B.3    Palmeri, T.4    Van Maanen, L.5
  • 73
    • 84926337058 scopus 로고    scopus 로고
    • Combining cognitive abstractions with neurophysiology: the neural drift diffusion model
    • Turner B.M., Van Maanen L., Forstmann B.U. Combining cognitive abstractions with neurophysiology: the neural drift diffusion model. Psychol. Rev. 2015, 122:312-336.
    • (2015) Psychol. Rev. , vol.122 , pp. 312-336
    • Turner, B.M.1    Van Maanen, L.2    Forstmann, B.U.3
  • 75
    • 85047685362 scopus 로고    scopus 로고
    • On the time course of perceptual choice: the leaky competing accumulator model
    • Usher M., McClelland J.L. On the time course of perceptual choice: the leaky competing accumulator model. Psychol. Rev. 2001, 108:550-592.
    • (2001) Psychol. Rev. , vol.108 , pp. 550-592
    • Usher, M.1    McClelland, J.L.2
  • 80
    • 57649213849 scopus 로고    scopus 로고
    • Joint source based morphometry identifies linked gray and white matter group differences
    • Xu L., Pearlson G., Calhoun V.D. Joint source based morphometry identifies linked gray and white matter group differences. NeuroImage 2009, 44:777-789.
    • (2009) NeuroImage , vol.44 , pp. 777-789
    • Xu, L.1    Pearlson, G.2    Calhoun, V.D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.