메뉴 건너뛰기




Volumn 36, Issue 2, 2015, Pages 731-743

Statistical modeling of time-dependent fMRI activation effects

Author keywords

Auditory oddball; Event related functional magnetic resonance imaging; Functional magnetic resonance imaging; Penalized least squares estimation; Time varying activation and hemodynamic response function; Varying coefficient model

Indexed keywords

ARTICLE; CONFIDENCE INTERVAL; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEMODYNAMICS; HUMAN; HUMAN EXPERIMENT; MALE; NORMAL HUMAN; PRIORITY JOURNAL; STATISTICAL MODEL; TIME; TIME SERIES ANALYSIS; BRAIN; HEARING; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES; SIGNAL PROCESSING; VASCULARIZATION;

EID: 84922213645     PISSN: 10659471     EISSN: 10970193     Source Type: Journal    
DOI: 10.1002/hbm.22660     Document Type: Article
Times cited : (3)

References (60)
  • 2
    • 48549087974 scopus 로고    scopus 로고
    • Spontaneous low-frequency blood oxygenation level-dependent fluctuations and functional connectivity analysis of the 'resting' brain
    • Auer DP (2008): Spontaneous low-frequency blood oxygenation level-dependent fluctuations and functional connectivity analysis of the 'resting' brain. Magn Reson Imaging 26:1055-1064.
    • (2008) Magn Reson Imaging , vol.26 , pp. 1055-1064
    • Auer, D.P.1
  • 3
    • 84880031040 scopus 로고    scopus 로고
    • Group-level impacts of within- and between-subject hemodynamic variability in fMRI
    • Badillo S, Vincent T, Ciuciu P (2013): Group-level impacts of within- and between-subject hemodynamic variability in fMRI. NeuroImage 82:433-448.
    • (2013) NeuroImage , vol.82 , pp. 433-448
    • Badillo, S.1    Vincent, T.2    Ciuciu, P.3
  • 4
    • 1342324773 scopus 로고    scopus 로고
    • Probabilistic independent component analysis for functional magnetic resonance imaging
    • Beckmann C, Smith S (2004): Probabilistic independent component analysis for functional magnetic resonance imaging. IEEE Trans Med Imaging 23:137-152.
    • (2004) IEEE Trans Med Imaging , vol.23 , pp. 137-152
    • Beckmann, C.1    Smith, S.2
  • 5
    • 14244251502 scopus 로고    scopus 로고
    • Tensorial extensions of independent component analysis for multisubject FMRI analysis
    • Beckmann CF, Smith SM (2005): Tensorial extensions of independent component analysis for multisubject FMRI analysis. NeuroImage 25:294-311.
    • (2005) NeuroImage , vol.25 , pp. 294-311
    • Beckmann, C.F.1    Smith, S.M.2
  • 8
    • 0344157389 scopus 로고    scopus 로고
    • Characterizing stimulus-response functions using nonlinear regressors in parametric fMRI experiments
    • Büchel C, Holmes A, Rees G, Friston K (1998): Characterizing stimulus-response functions using nonlinear regressors in parametric fMRI experiments. NeuroImage 8:140-148.
    • (1998) NeuroImage , vol.8 , pp. 140-148
    • Büchel, C.1    Holmes, A.2    Rees, G.3    Friston, K.4
  • 9
    • 79960680252 scopus 로고    scopus 로고
    • Ongoing brain activity fluctuations directly account for intertrial and indirectly for intersubject variability in stroop task performance
    • Coste C, Sadaghiani S, Friston K, Kleinschmidt A (2011): Ongoing brain activity fluctuations directly account for intertrial and indirectly for intersubject variability in stroop task performance. Cereb Cortex 21:2612-2619.
    • (2011) Cereb Cortex , vol.21 , pp. 2612-2619
    • Coste, C.1    Sadaghiani, S.2    Friston, K.3    Kleinschmidt, A.4
  • 11
    • 84857084794 scopus 로고    scopus 로고
    • Quantifying hemodynamic refractory BOLD effects in normal subjects at the single-subject level using an inverse logit fitting procedure
    • Descamps B, Vandemaele, P, Reyngoudt H, Deblaere K, Leybaert L, Paemeleire K, Achten E (2012): Quantifying hemodynamic refractory BOLD effects in normal subjects at the single-subject level using an inverse logit fitting procedure. Magn Reson Imaging 35:723-730.
    • (2012) Magn Reson Imaging , vol.35 , pp. 723-730
    • Descamps, B.1    Vandemaele, P.2    Reyngoudt, H.3    Deblaere, K.4    Leybaert, L.5    Paemeleire, K.6    Achten, E.7
  • 12
    • 25444532788 scopus 로고    scopus 로고
    • Flexible smoothing with B-splines and penalties
    • Eilers PHC, Marx BD (1996): Flexible smoothing with B-splines and penalties. Stat Sci 11:89-121.
    • (1996) Stat Sci , vol.11 , pp. 89-121
    • Eilers, P.H.C.1    Marx, B.D.2
  • 15
    • 33745587302 scopus 로고    scopus 로고
    • Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems
    • Fox MD, Corbetta M, Snyder AZ, Vincent JL, Raichle ME (2006): Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems. Proc Natl Acad Sci USA 103:10046-10051.
    • (2006) Proc Natl Acad Sci USA , vol.103 , pp. 10046-10051
    • Fox, M.D.1    Corbetta, M.2    Snyder, A.Z.3    Vincent, J.L.4    Raichle, M.E.5
  • 19
    • 48949104123 scopus 로고    scopus 로고
    • Clinical-psychophysiological studies of patients with panic attacks with and without agoraphobic disorders
    • Gordeev SA (2008): Clinical-psychophysiological studies of patients with panic attacks with and without agoraphobic disorders. Neurosci Behav Physiol 38:633-637.
    • (2008) Neurosci Behav Physiol , vol.38 , pp. 633-637
    • Gordeev, S.A.1
  • 21
    • 84884205906 scopus 로고    scopus 로고
    • On likelihood ratio testing for penalized splines
    • Greven S, Crainiceanu C (2013): On likelihood ratio testing for penalized splines. AStA Adv Stat Anal 97:387-402.
    • (2013) AStA Adv Stat Anal , vol.97 , pp. 387-402
    • Greven, S.1    Crainiceanu, C.2
  • 22
    • 64249145967 scopus 로고    scopus 로고
    • Restricted likelihood ratio testing for zero variance components in linear mixed models
    • Greven S, Crainiceanu C, Küchenhoff H, Peters A (2008): Restricted likelihood ratio testing for zero variance components in linear mixed models. J Comput Graph Stat 17:870-891.
    • (2008) J Comput Graph Stat , vol.17 , pp. 870-891
    • Greven, S.1    Crainiceanu, C.2    Küchenhoff, H.3    Peters, A.4
  • 23
    • 79953051021 scopus 로고    scopus 로고
    • Longitudinal functional principal component analysis
    • Greven S, Crainiceanu C, Caffo B (2010): Longitudinal functional principal component analysis. Electron J Stat 4:1022-1054.
    • (2010) Electron J Stat , vol.4 , pp. 1022-1054
    • Greven, S.1    Crainiceanu, C.2    Caffo, B.3
  • 25
    • 0000224470 scopus 로고    scopus 로고
    • The choice of basis functions in event-related fMRI
    • Henson R, Rugg MD, Friston KJ (2001): The choice of basis functions in event-related fMRI. NeuroImage 13:149.
    • (2001) NeuroImage , vol.13 , pp. 149
    • Henson, R.1    Rugg, M.D.2    Friston, K.J.3
  • 26
    • 0000008146 scopus 로고
    • Comparing partitions
    • Hubert L, Arabie P (1985): Comparing partitions. J Classifi 2:193-218.
    • (1985) J Classifi , vol.2 , pp. 193-218
    • Hubert, L.1    Arabie, P.2
  • 27
    • 62949117734 scopus 로고    scopus 로고
    • Modeling fMRI data generated by overlapping cognitive processes with unknown onsets using hidden process models
    • Hutchinson R, Niculescu RS, Keller TA, Rustandi I, Mitchell TM (2009): Modeling fMRI data generated by overlapping cognitive processes with unknown onsets using hidden process models. NeuroImage 46:87-104.
    • (2009) NeuroImage , vol.46 , pp. 87-104
    • Hutchinson, R.1    Niculescu, R.S.2    Keller, T.A.3    Rustandi, I.4    Mitchell, T.M.5
  • 28
    • 0027600167 scopus 로고
    • P300 response: Habituation
    • Ivey R, Schmidt H (1993): P300 response: Habituation. J Am Acad Audiol 4:182-188.
    • (1993) J Am Acad Audiol , vol.4 , pp. 182-188
    • Ivey, R.1    Schmidt, H.2
  • 29
    • 84863009508 scopus 로고    scopus 로고
    • Pharmacologic magnetic resonance imaging (phMRI): Imaging drug action in the brain
    • Jenkins B (2012): Pharmacologic magnetic resonance imaging (phMRI): Imaging drug action in the brain. NeuroImage 62:1072-1085.
    • (2012) NeuroImage , vol.62 , pp. 1072-1085
    • Jenkins, B.1
  • 31
    • 84894528817 scopus 로고    scopus 로고
    • Classification of brain activation via spatial Bayesian variable selection in fMRI regression
    • Kalus S, Sämann PG, Fahrmeir L (2014): Classification of brain activation via spatial Bayesian variable selection in fMRI regression. Adv Data Anal Classif 8:63-83.
    • (2014) Adv Data Anal Classif , vol.8 , pp. 63-83
    • Kalus, S.1    Sämann, P.G.2    Fahrmeir, L.3
  • 32
    • 39749174312 scopus 로고    scopus 로고
    • Modeling low-frequency fluctuation and hemodynamic response timecourse in event-related fMRI
    • Kay KN, David SV, Prenger RJ, Hansen KA, Gallant JL (2008): Modeling low-frequency fluctuation and hemodynamic response timecourse in event-related fMRI. Hum Brain Mapp 29:142-156.
    • (2008) Hum Brain Mapp , vol.29 , pp. 142-156
    • Kay, K.N.1    David, S.V.2    Prenger, R.J.3    Hansen, K.A.4    Gallant, J.L.5
  • 33
    • 0037213404 scopus 로고    scopus 로고
    • Reproducibility of the hemodynamic response to auditory oddball stimuli: A six-week test-retest study
    • Kiehl K, Liddle P (2003): Reproducibility of the hemodynamic response to auditory oddball stimuli: A six-week test-retest study. Hum Brain Mapp 18:42-52.
    • (2003) Hum Brain Mapp , vol.18 , pp. 42-52
    • Kiehl, K.1    Liddle, P.2
  • 34
    • 16244408962 scopus 로고    scopus 로고
    • An adaptive reflexive processing model of neurocognitive function: Supporting evidence from a large scale (n=100) fMRI study of an auditory oddball task
    • Kiehl KA, Stevens MC, Laurens KR, Pearlson G, Calhoun VD, Liddle PF (2005): An adaptive reflexive processing model of neurocognitive function: Supporting evidence from a large scale (n=100) fMRI study of an auditory oddball task. NeuroImage 25:899-915.
    • (2005) NeuroImage , vol.25 , pp. 899-915
    • Kiehl, K.A.1    Stevens, M.C.2    Laurens, K.R.3    Pearlson, G.4    Calhoun, V.D.5    Liddle, P.F.6
  • 37
    • 0024537279 scopus 로고
    • Habituation of p300 to target stimuli
    • Lammers W, Badia P (1989): Habituation of p300 to target stimuli. Physiol Behav 45:595-601.
    • (1989) Physiol Behav , vol.45 , pp. 595-601
    • Lammers, W.1    Badia, P.2
  • 38
    • 33750289836 scopus 로고    scopus 로고
    • A toolbox for k-centroids cluster analysis
    • Leisch F (2006): A toolbox for k-centroids cluster analysis. Comput Stat Data Anal 51:526-544.
    • (2006) Comput Stat Data Anal , vol.51 , pp. 526-544
    • Leisch, F.1
  • 39
    • 34547880428 scopus 로고    scopus 로고
    • Validity and power in hemodynamic response modeling: A comparison study and a new approach
    • Lindquist M, Wager T (2007): Validity and power in hemodynamic response modeling: A comparison study and a new approach. Hum Brain Mapp 28:764-784.
    • (2007) Hum Brain Mapp , vol.28 , pp. 764-784
    • Lindquist, M.1    Wager, T.2
  • 40
    • 65549098868 scopus 로고    scopus 로고
    • Modeling the hemodynamic response function in fMRI: Efficiency, bias and mis-modeling
    • Lindquist M, Loh JM, Atlas LY, Wager, TD (2009): Modeling the hemodynamic response function in fMRI: Efficiency, bias and mis-modeling. NeuroImage 45:S187-S198.
    • (2009) NeuroImage , vol.45 , pp. S187-S198
    • Lindquist, M.1    Loh, J.M.2    Atlas, L.Y.3    Wager, T.D.4
  • 41
    • 44649099442 scopus 로고    scopus 로고
    • A fully Bayesian approach to the parcel-based detection-estimation of brain activity in fMRI
    • Makni S, Idier J, Vincent T, Thirion B, Dehaene-Lambertz G, Ciuciu P (2008): A fully Bayesian approach to the parcel-based detection-estimation of brain activity in fMRI. NeuroImage 41:941-969.
    • (2008) NeuroImage , vol.41 , pp. 941-969
    • Makni, S.1    Idier, J.2    Vincent, T.3    Thirion, B.4    Dehaene-Lambertz, G.5    Ciuciu, P.6
  • 42
    • 55149096338 scopus 로고    scopus 로고
    • Large-scale brain networks account for sustained and transient activity during target detection
    • Mantini D, Corbetta M, Perrucci MG, Romani GL, Del Gratta C (2009): Large-scale brain networks account for sustained and transient activity during target detection. NeuroImage 44:265-274.
    • (2009) NeuroImage , vol.44 , pp. 265-274
    • Mantini, D.1    Corbetta, M.2    Perrucci, M.G.3    Romani, G.L.4    Del Gratta, C.5
  • 43
    • 84933672830 scopus 로고    scopus 로고
    • Statistical analysis of fMRI time-series: A critical review of the GLM approach
    • Monti M (2011): Statistical analysis of fMRI time-series: A critical review of the GLM approach. Front Hum Neurosci 5(28):1-13.
    • (2011) Front Hum Neurosci , vol.5 , Issue.28 , pp. 1-13
    • Monti, M.1
  • 44
    • 84872846575 scopus 로고    scopus 로고
    • fMRI of human olfaction at the individual level: Interindividual variability
    • Morrot G, Bonny JM, Lehallier B, Zanca M (2013): fMRI of human olfaction at the individual level: Interindividual variability. Magn Reson Imaging 37:92-100.
    • (2013) Magn Reson Imaging , vol.37 , pp. 92-100
    • Morrot, G.1    Bonny, J.M.2    Lehallier, B.3    Zanca, M.4
  • 45
    • 84855430105 scopus 로고    scopus 로고
    • Deconvolving BOLD activation in event-related designs for multivoxel pattern classification analyses
    • Mumford J, Turner, BO, Ashby FG, Poldrack, RA (2012): Deconvolving BOLD activation in event-related designs for multivoxel pattern classification analyses. NeuroImage 59:2636-2643.
    • (2012) NeuroImage , vol.59 , pp. 2636-2643
    • Mumford, J.1    Turner, B.O.2    Ashby, F.G.3    Poldrack, R.A.4
  • 46
    • 0035723035 scopus 로고    scopus 로고
    • Separating processes within a trial in event-related functional fMRI
    • Ollinger JM, Shulman GL, Corbetta M (2001): Separating processes within a trial in event-related functional fMRI. NeuroImage 13:210-217.
    • (2001) NeuroImage , vol.13 , pp. 210-217
    • Ollinger, J.M.1    Shulman, G.L.2    Corbetta, M.3
  • 48
    • 77952316101 scopus 로고    scopus 로고
    • Using conditional maximization to determine hyperparameters in model-based fMRI
    • Rodriguez PF (2010): Using conditional maximization to determine hyperparameters in model-based fMRI. NeuroImage 50:472-478.
    • (2010) NeuroImage , vol.50 , pp. 472-478
    • Rodriguez, P.F.1
  • 50
    • 70350341204 scopus 로고    scopus 로고
    • Distributed and antagonistic contributions of ongoing activity fluctuations to auditory stimulus detection
    • Sadaghiani S, Hesselmann G, Kleinschmidt A (2009): Distributed and antagonistic contributions of ongoing activity fluctuations to auditory stimulus detection. J Neurosci 29:13410-13417.
    • (2009) J Neurosci , vol.29 , pp. 13410-13417
    • Sadaghiani, S.1    Hesselmann, G.2    Kleinschmidt, A.3
  • 51
    • 40249103367 scopus 로고    scopus 로고
    • Size and power of tests for a zero random effect variance or polynomial regression in additive and linear mixed models
    • Scheipl F, Greven S, Küchenhoff H (2008): Size and power of tests for a zero random effect variance or polynomial regression in additive and linear mixed models. Comput Stat Data Anal 52:3283-3299.
    • (2008) Comput Stat Data Anal , vol.52 , pp. 3283-3299
    • Scheipl, F.1    Greven, S.2    Küchenhoff, H.3
  • 52
    • 84885767547 scopus 로고    scopus 로고
    • Spatial-temporal modeling of fMRI data through spatially regularized mixture of hidden process models
    • Shen Y, Mayhew SD, Kourtzi Z, Tino P (2014): Spatial-temporal modeling of fMRI data through spatially regularized mixture of hidden process models. NeuroImage 84:657-671.
    • (2014) NeuroImage , vol.84 , pp. 657-671
    • Shen, Y.1    Mayhew, S.D.2    Kourtzi, Z.3    Tino, P.4
  • 54
    • 0025216529 scopus 로고
    • Time of day, repeated testing, and interblock interval effects on p300 amplitude
    • Wesensten N, Badia P, Harsh J (1990): Time of day, repeated testing, and interblock interval effects on p300 amplitude. Physiol Behav 47:653-658.
    • (1990) Physiol Behav , vol.47 , pp. 653-658
    • Wesensten, N.1    Badia, P.2    Harsh, J.3
  • 56
    • 0029096148 scopus 로고
    • Analysis of time-series revisited-Again
    • Worsley KJ, Friston KJ (1995): Analysis of time-series revisited-Again. NeuroImage 2:173-181.
    • (1995) NeuroImage , vol.2 , pp. 173-181
    • Worsley, K.J.1    Friston, K.J.2
  • 58
    • 84867370695 scopus 로고    scopus 로고
    • Nonparametric inference of the hemodynamic response using multi-subject fMRI data
    • Zhang T, Li F, Beckes L, Brown C, Coan JA (2012): Nonparametric inference of the hemodynamic response using multi-subject fMRI data. NeuroImage 63:1754-1765.
    • (2012) NeuroImage , vol.63 , pp. 1754-1765
    • Zhang, T.1    Li, F.2    Beckes, L.3    Brown, C.4    Coan, J.A.5
  • 60
    • 84922220498 scopus 로고    scopus 로고
    • Longitudinal high-dimensional principal components analysis with application to diffusion tensor imaging of multiple sclerosis
    • in press
    • Zipunnikov V, Greven S, Shou H, Caffo B, Reich D, Crainiceanu C: Longitudinal high-dimensional principal components analysis with application to diffusion tensor imaging of multiple sclerosis. Annals of Applied Statistics (in press).
    • Annals of Applied Statistics
    • Zipunnikov, V.1    Greven, S.2    Shou, H.3    Caffo, B.4    Reich, D.5    Crainiceanu, C.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.